Package: broadcom-sta-common
Description-md5: a6bd57d95d48308610bc995bd8922939
Description-en: Common files for the Broadcom STA Wireless driver
 Broadcom STA is a binary-only device driver to support the following IEEE
 802.11a/b/g/n wireless network cards: BCM4311-, BCM4312-, BCM4313-,
 BCM4321-, BCM4322-, BCM43142-, BCM43224-, BCM43225-, BCM43227-, BCM43228-,
 BCM4331-, BCM4360-, and BCM4352-based hardware.
 .
 This package contains the common files and it should not be installed manually
 (it will be installed automatically as needed).

Package: broadcom-sta-dkms
Description-md5: 4c9c20d84937e0293fe598f44d785bce
Description-en: dkms source for the Broadcom STA Wireless driver
 Broadcom STA is a binary-only device driver to support the following IEEE
 802.11a/b/g/n wireless network cards: BCM4311-, BCM4312-, BCM4313-,
 BCM4321-, BCM4322-, BCM43142-, BCM43224-, BCM43225-, BCM43227-, BCM43228-,
 BCM4331-, BCM4360-, and BCM4352-based hardware.
 .
 This package provides the source code for the wl kernel modules and makes use
 of the DKMS build utility to install them for the running kernel. The
 alternative package broadcom-sta-source can be used instead in case of build
 problems.
 .
 The wireless-tools package is also required in order to make use of these
 modules. Kernel source or headers are required to compile these modules.

Package: broadcom-sta-source
Description-md5: 5bb170970da4a03f1c53b6f0202148ef
Description-en: Source for the Broadcom STA Wireless driver
 Broadcom STA is a binary-only device driver to support the following IEEE
 802.11a/b/g/n wireless network cards: BCM4311-, BCM4312-, BCM4313-,
 BCM4321-, BCM4322-, BCM43142-, BCM43224-, BCM43225-, BCM43227-, BCM43228-,
 BCM4331-, BCM4360-, and BCM4352-based hardware.
 .
 This package provides the source code for the wl kernel modules. It makes use
 of kernel-package or module-assistant build systems. The alternative
 broadcom-sta-dkms package can be installed instead and might be easier to use
 with simple system configurations.
 .
 The wireless-tools package is also required in order to make use of these
 modules.  Kernel source or headers are required to compile these modules.

Package: conserver-client
Description-md5: b9cc2e709d8b33dfd2ec4626d89d6cb5
Description-en: connect to a console server
 Conserver is an application that allows multiple users to watch a
 serial console at the same time.  It can log the data, allows users
 to take write-access of a console (one at a time), and has a
 variety of bells and whistles to accentuate that basic
 functionality.  The idea is that conserver will log all your serial
 traffic so you can go back and review why something crashed, look
 at changes (if done on the console), or tie the console logs into a
 monitoring system (just watch the logfiles it creates).  With
 multi-user capabilities you can work on equipment with others,
 mentor, train, etc.  It also does all that client-server stuff so
 that, assuming you have a network connection, you can interact with
 any of the equipment from home or wherever.
 .
 This is client part of the conserver system.

Package: conserver-server
Description-md5: e3162cc0887da73106fabc4b43ea815f
Description-en: connect multiple user to a serial console with logging
 Conserver is an application that allows multiple users to watch a
 serial console at the same time.  It can log the data, allows users
 to take write-access of a console (one at a time), and has a
 variety of bells and whistles to accentuate that basic
 functionality.  The idea is that conserver will log all your serial
 traffic so you can go back and review why something crashed, look
 at changes (if done on the console), or tie the console logs into a
 monitoring system (just watch the logfiles it creates).  With
 multi-user capabilities you can work on equipment with others,
 mentor, train, etc.  It also does all that client-server stuff so
 that, assuming you have a network connection, you can interact with
 any of the equipment from home or wherever.
 .
 This is the server part of the conserver system.

Package: firmware-amd-graphics
Description-md5: aeb6001e27b6ee7810c7536558a7124a
Description-en: Binary firmware for AMD/ATI graphics chips
 This package contains the binary firmware for AMD/ATI graphics chips
 supported by the radeon, amdgpu and r128 drivers.
 .
 Contents:
  * "Banks" K-2 SMC microcode (amdgpu/banks_k_2_smc.bin)
  * Radeon HD 7790/8770/8950 CE microcode (amdgpu/bonaire_ce.bin)
  * Radeon HD 7790/8770/8950 K SMC microcode (amdgpu/bonaire_k_smc.bin)
  * Radeon HD 7790/8770/8950 MC microcode (amdgpu/bonaire_mc.bin)
  * Radeon HD 7790/8770/8950 ME microcode (amdgpu/bonaire_me.bin)
  * Radeon HD 7790/8770/8950 MEC microcode (amdgpu/bonaire_mec.bin)
  * Radeon HD 7790/8770/8950 PFP microcode (amdgpu/bonaire_pfp.bin)
  * Radeon HD 7790/8770/8950 RLC microcode (amdgpu/bonaire_rlc.bin)
  * Radeon HD 7790/8770/8950 SDMA microcode (amdgpu/bonaire_sdma.bin)
  * Radeon HD 7790/8770/8950 SDMA1 microcode (amdgpu/bonaire_sdma1.bin)
  * Radeon HD 7790/8770/8950 series SMC microcode
    (amdgpu/bonaire_smc.bin)
  * Radeon HD 7790/8770/8950 UVD microcode (amdgpu/bonaire_uvd.bin)
  * Radeon HD 7790/8770/8950 VCE microcode (amdgpu/bonaire_vce.bin)
  * "Carrizo" CE firmware (amdgpu/carrizo_ce.bin)
  * "Carrizo" ME firmware (amdgpu/carrizo_me.bin)
  * "Carrizo" MEC firmware (amdgpu/carrizo_mec.bin)
  * "Carrizo" MEC2 firmware (amdgpu/carrizo_mec2.bin)
  * "Carrizo" PFP firmware (amdgpu/carrizo_pfp.bin)
  * "Carrizo" RLC firmware (amdgpu/carrizo_rlc.bin)
  * "Carrizo" SDMA firmware (amdgpu/carrizo_sdma.bin)
  * "Carrizo" SDMA1 firmware (amdgpu/carrizo_sdma1.bin)
  * "Carrizo" UVD firmware, version 1.87 (amdgpu/carrizo_uvd.bin)
  * "Carrizo" VCE firmware (amdgpu/carrizo_vce.bin)
  * "Fiji" CE firmware (amdgpu/fiji_ce.bin)
  * "Fiji" MC firmware (amdgpu/fiji_mc.bin)
  * "Fiji" ME firmware (amdgpu/fiji_me.bin)
  * "Fiji" MEC firmware (amdgpu/fiji_mec.bin)
  * "Fiji" MEC2 firmware (amdgpu/fiji_mec2.bin)
  * "Fiji" PFP firmware (amdgpu/fiji_pfp.bin)
  * "Fiji" RLC firmware (amdgpu/fiji_rlc.bin)
  * "Fiji" SDMA firmware (amdgpu/fiji_sdma.bin)
  * "Fiji" SDMA1 firmware (amdgpu/fiji_sdma1.bin)
  * "Fiji" SMC firmware (amdgpu/fiji_smc.bin)
  * "Fiji" UVD firmware, version 1.87.12 (amdgpu/fiji_uvd.bin)
  * "Fiji" VCE firmware (amdgpu/fiji_vce.bin)
  * AMD RYZEN 5000 ASD firmware (amdgpu/green_sardine_asd.bin)
  * AMD RYZEN 5000 CE firmware (amdgpu/green_sardine_ce.bin)
  * AMD RYZEN 5000 DMCUB firmware (amdgpu/green_sardine_dmcub.bin)
  * AMD RYZEN 5000 ME firmware (amdgpu/green_sardine_me.bin)
  * AMD RYZEN 5000 MEC2 firmware (amdgpu/green_sardine_mec2.bin)
  * AMD RYZEN 5000 MEC firmware (amdgpu/green_sardine_mec.bin)
  * AMD RYZEN 5000 PFP firmware (amdgpu/green_sardine_pfp.bin)
  * AMD RYZEN 5000 RLC firmware (amdgpu/green_sardine_rlc.bin)
  * AMD RYZEN 5000 SDMA firmware (amdgpu/green_sardine_sdma.bin)
  * AMD RYZEN 5000 TA firmware (amdgpu/green_sardine_ta.bin)
  * AMD RYZEN 5000 VCN firmware (amdgpu/green_sardine_vcn.bin)
  * Radeon HD 8500M series and R5 M200 CE microcode
    (amdgpu/hainan_ce.bin)
  * Radeon HD 8500M series and R5 M200 K SMC microcode
    (amdgpu/hainan_k_smc.bin)
  * Radeon HD 8500M series and R5 M200 MC microcode
    (amdgpu/hainan_mc.bin)
  * Radeon HD 8500M series and R5 M200 ME microcode
    (amdgpu/hainan_me.bin)
  * Radeon HD 8500M series and R5 M200 PFP microcode
    (amdgpu/hainan_pfp.bin)
  * Radeon HD 8500M series and R5 M200 RLC microcode
    (amdgpu/hainan_rlc.bin)
  * Radeon HD 8500M series and R5 M200 SMC microcode
    (amdgpu/hainan_smc.bin)
  * Radeon R9 290 series CE microcode (amdgpu/hawaii_ce.bin)
  * Radeon R9 290 series K SMC microcode (amdgpu/hawaii_k_smc.bin)
  * Radeon R9 290 series MC microcode (amdgpu/hawaii_mc.bin)
  * Radeon R9 290 series ME microcode (amdgpu/hawaii_me.bin)
  * Radeon R9 290 series MEC microcode (amdgpu/hawaii_mec.bin)
  * Radeon R9 290 series PFP microcode (amdgpu/hawaii_pfp.bin)
  * Radeon R9 290 series RLC microcode (amdgpu/hawaii_rlc.bin)
  * Radeon R9 290 series SDMA microcode (amdgpu/hawaii_sdma.bin)
  * Radeon R9 290 series SDMA microcode (amdgpu/hawaii_sdma1.bin)
  * Radeon R9 290 series SMC microcode (amdgpu/hawaii_smc.bin)
  * Radeon R9 290 series UVD microcode (amdgpu/hawaii_uvd.bin)
  * Radeon R9 290 series VCE microcode (amdgpu/hawaii_vce.bin)
  * Radeon HD 8100/8200/8300/8400 series CE microcode
    (amdgpu/kabini_ce.bin)
  * Radeon HD 8100/8200/8300/8400 series ME microcode
    (amdgpu/kabini_me.bin)
  * Radeon HD 8100/8200/8300/8400 series MEC microcode
    (amdgpu/kabini_mec.bin)
  * Radeon HD 8100/8200/8300/8400 series PFP microcode
    (amdgpu/kabini_pfp.bin)
  * Radeon HD 8100/8200/8300/8400 series RLC microcode
    (amdgpu/kabini_rlc.bin)
  * Radeon HD 8100/8200/8300/8400 series SDMA microcode
    (amdgpu/kabini_sdma.bin)
  * Radeon HD 8100/8200/8300/8400 series SDMA1 microcode
    (amdgpu/kabini_sdma1.bin)
  * Radeon HD 8100/8200/8300/8400 series UVD microcode
    (amdgpu/kabini_uvd.bin)
  * Radeon HD 8100/8200/8300/8400 series VCE microcode
    (amdgpu/kabini_vce.bin)
  * Radeon R5/R7 IGP 200 series CE microcode (amdgpu/kaveri_ce.bin)
  * Radeon R5/R7 IGP 200 series ME microcode (amdgpu/kaveri_me.bin)
  * Radeon R5/R7 IGP 200 series MEC microcode (amdgpu/kaveri_mec.bin)
  * Radeon R5/R7 IGP 200 series MEC microcode (amdgpu/kaveri_mec2.bin)
  * Radeon R5/R7 IGP 200 series PFP microcode (amdgpu/kaveri_pfp.bin)
  * Radeon R5/R7 IGP 200 series RLC microcode (amdgpu/kaveri_rlc.bin)
  * Radeon R5/R7 IGP 200 series SDMA microcode (amdgpu/kaveri_sdma.bin)
  * Radeon R5/R7 IGP 200 series SDMA1 microcode
    (amdgpu/kaveri_sdma1.bin)
  * Radeon R5/R7 IGP 200 series UVD microcode (amdgpu/kaveri_uvd.bin)
  * Radeon R5/R7 IGP 200 series VCE microcode (amdgpu/kaveri_vce.bin)
  * Radeon "Mullins"/"Beema" IGP CE microcode (amdgpu/mullins_ce.bin)
  * Radeon "Mullins"/"Beema" IGP ME microcode (amdgpu/mullins_me.bin)
  * Radeon "Mullins"/"Beema" IGP MEC microcode (amdgpu/mullins_mec.bin)
  * Radeon "Mullins"/"Beema" IGP PFP microcode (amdgpu/mullins_pfp.bin)
  * Radeon "Mullins"/"Beema" IGP RLC microcode (amdgpu/mullins_rlc.bin)
  * Radeon "Mullins"/"Beema" IGP SDMA microcode
    (amdgpu/mullins_sdma.bin)
  * Radeon "Mullins"/"Beema" IGP SDMA1 microcode
    (amdgpu/mullins_sdma1.bin)
  * Radeon "Mullins"/"Beema" IGP UVD microcode (amdgpu/mullins_uvd.bin)
  * Radeon "Mullins"/"Beema" IGP VCE microcode (amdgpu/mullins_vce.bin)
  * "Navi 10" ASD firmware (amdgpu/navi10_asd.bin)
  * "Navi 10" CE firmware (amdgpu/navi10_ce.bin)
  * "Navi 10" GPU info (amdgpu/navi10_gpu_info.bin)
  * "Navi 10" ME firmware (amdgpu/navi10_me.bin)
  * "Navi 10" MEC firmware (amdgpu/navi10_mec.bin)
  * "Navi 10" MEC2 firmware (amdgpu/navi10_mec2.bin)
  * "Navi 10" PFP firmware (amdgpu/navi10_pfp.bin)
  * "Navi 10" RLC firmware (amdgpu/navi10_rlc.bin)
  * "Navi 10" SDMA firmware (amdgpu/navi10_sdma.bin)
  * "Navi 10" SDMA1 firmware (amdgpu/navi10_sdma1.bin)
  * "Navi 10" SMC firmware (amdgpu/navi10_smc.bin)
  * "Navi 10" SOS firmware (amdgpu/navi10_sos.bin)
  * "Navi 10" TA firmware (amdgpu/navi10_ta.bin)
  * "Navi 10" VCN firmware (amdgpu/navi10_vcn.bin)
  * "Navi 12" ASD firmware (amdgpu/navi12_asd.bin)
  * "Navi 12" CE firmware (amdgpu/navi12_ce.bin)
  * "Navi 12" DMCU firmware (amdgpu/navi12_dmcu.bin)
  * "Navi 12" GPU info (amdgpu/navi12_gpu_info.bin)
  * "Navi 12" ME firmware (amdgpu/navi12_me.bin)
  * "Navi 12" MEC firmware (amdgpu/navi12_mec.bin)
  * "Navi 12" MEC2 firmware (amdgpu/navi12_mec2.bin)
  * "Navi 12" PFP firmware (amdgpu/navi12_pfp.bin)
  * "Navi 12" RLC firmware (amdgpu/navi12_rlc.bin)
  * "Navi 12" SDMA firmware (amdgpu/navi12_sdma.bin)
  * "Navi 12" SDMA1 firmware (amdgpu/navi12_sdma1.bin)
  * "Navi 12" SMC firmware (amdgpu/navi12_smc.bin)
  * "Navi 12" SOS firmware (amdgpu/navi12_sos.bin)
  * "Navi 12" VCN firmware (amdgpu/navi12_vcn.bin)
  * "Navi 12" TA firmware (amdgpu/navi12_ta.bin)
  * "Navi 14" ASD firmware (amdgpu/navi14_asd.bin)
  * "Navi 14" CE firmware (amdgpu/navi14_ce.bin)
  * "Navi 14 wks" CE firmware (amdgpu/navi14_ce_wks.bin)
  * "Navi 14" GPU info (amdgpu/navi14_gpu_info.bin)
  * "Navi 14" ME firmware (amdgpu/navi14_me.bin)
  * "Navi 14 wks" ME firmware (amdgpu/navi14_me_wks.bin)
  * "Navi 14" MEC firmware (amdgpu/navi14_mec.bin)
  * "Navi 14" MEC2 firmware (amdgpu/navi14_mec2.bin)
  * "Navi 14 wks" MEC2 firmware (amdgpu/navi14_mec2_wks.bin)
  * "Navi 14 wks" MEC firmware (amdgpu/navi14_mec_wks.bin)
  * "Navi 14" PFP firmware (amdgpu/navi14_pfp.bin)
  * "Navi 14 wks" PFP firmware (amdgpu/navi14_pfp_wks.bin)
  * "Navi 14" RLC firmware (amdgpu/navi14_rlc.bin)
  * "Navi 14" SDMA firmware (amdgpu/navi14_sdma.bin)
  * "Navi 14" SDMA1 firmware (amdgpu/navi14_sdma1.bin)
  * "Navi 14" SMC firmware (amdgpu/navi14_smc.bin)
  * "Navi 14" SOS firmware (amdgpu/navi14_sos.bin)
  * "Navi 14" TA firmware (amdgpu/navi14_ta.bin)
  * "Navi 14" VCN firmware (amdgpu/navi14_vcn.bin)
  * Radeon HD 8500/8600/8700 series CE microcode (amdgpu/oland_ce.bin)
  * Radeon HD 8500/8600/8700 series K SMC microcode
    (amdgpu/oland_k_smc.bin)
  * Radeon HD 8500/8600/8700 series MC microcode (amdgpu/oland_mc.bin)
  * Radeon HD 8500/8600/8700 series ME microcode (amdgpu/oland_me.bin)
  * Radeon HD 8500/8600/8700 series PFP microcode (amdgpu/oland_pfp.bin)
  * Radeon HD 8500/8600/8700 series RLC microcode (amdgpu/oland_rlc.bin)
  * Radeon HD 8500/8600/8700 series SMC microcode (amdgpu/oland_smc.bin)
  * Radeon HD 8500/8600/8700 series UVD microcode (amdgpu/oland_uvd.bin)
  * "Picasso" ASD firmware (amdgpu/picasso_asd.bin)
  * "Picasso" CE firmware (amdgpu/picasso_ce.bin)
  * "Picasso" GPU info (amdgpu/picasso_gpu_info.bin)
  * "Picasso" ME firmware (amdgpu/picasso_me.bin)
  * "Picasso" MEC firmware (amdgpu/picasso_mec.bin)
  * "Picasso" MEC2 firmware (amdgpu/picasso_mec2.bin)
  * "Picasso" PFP firmware (amdgpu/picasso_pfp.bin)
  * "Picasso" RLC firmware (amdgpu/picasso_rlc.bin)
  * "Picasso" RLC AM4 firmware (amdgpu/picasso_rlc_am4.bin)
  * "Picasso" SDMA firmware (amdgpu/picasso_sdma.bin)
  * "Picasso" TA firmware (amdgpu/picasso_ta.bin)
  * "Picasso" VCN firmware (amdgpu/picasso_vcn.bin)
  * Radeon HD 7800 series CE microcode (amdgpu/pitcairn_ce.bin)
  * Radeon HD 7800 series K SMC microcode (amdgpu/pitcairn_k_smc.bin)
  * Radeon HD 7800 series MC microcode (amdgpu/pitcairn_mc.bin)
  * Radeon HD 7800 series ME microcode (amdgpu/pitcairn_me.bin)
  * Radeon HD 7800 series PFP microcode (amdgpu/pitcairn_pfp.bin)
  * Radeon HD 7800 series RLC microcode (amdgpu/pitcairn_rlc.bin)
  * Radeon HD 7800 series SMC microcode (amdgpu/pitcairn_smc.bin)
  * Radeon HD 7800 series UVD microcode (amdgpu/pitcairn_uvd.bin)
  * "Polaris 10" old CE firmware (amdgpu/polaris10_ce.bin)
  * "Polaris 10" new CE firmware (amdgpu/polaris10_ce_2.bin)
  * "Polaris 10" K2 SMC firmware (amdgpu/polaris10_k2_smc.bin)
  * "Polaris 10" K MC firmware (amdgpu/polaris10_k_mc.bin)
  * "Polaris 10" K SMC firmware (amdgpu/polaris10_k_smc.bin)
  * "Polaris 10" MC firmware (amdgpu/polaris10_mc.bin)
  * "Polaris 10" old ME firmware (amdgpu/polaris10_me.bin)
  * "Polaris 10" old MEC firmware (amdgpu/polaris10_mec.bin)
  * "Polaris 10" old MEC2 firmware (amdgpu/polaris10_mec2.bin)
  * "Polaris 10" new MEC2 firmware (amdgpu/polaris10_mec2_2.bin)
  * "Polaris 10" new MEC firmware (amdgpu/polaris10_mec_2.bin)
  * "Polaris 10" new ME firmware (amdgpu/polaris10_me_2.bin)
  * "Polaris 10" old PFP firmware (amdgpu/polaris10_pfp.bin)
  * "Polaris 10" new PFP firmware (amdgpu/polaris10_pfp_2.bin)
  * "Polaris 10" RLC firmware (amdgpu/polaris10_rlc.bin)
  * "Polaris 10" SDMA firmware (amdgpu/polaris10_sdma.bin)
  * "Polaris 10" SDMA1 firmware (amdgpu/polaris10_sdma1.bin)
  * "Polaris 10" SMC firmware (amdgpu/polaris10_smc.bin)
  * "Polaris 10" SMC-SK firmware (amdgpu/polaris10_smc_sk.bin)
  * "Polaris 10" UVD firmware, version 1.130 (amdgpu/polaris10_uvd.bin)
  * "Polaris 10" VCE firmware, version 53.26 (amdgpu/polaris10_vce.bin)
  * "Polaris 11" old CE firmware (amdgpu/polaris11_ce.bin)
  * "Polaris 11" new CE firmware (amdgpu/polaris11_ce_2.bin)
  * "Polaris 11" K2 SMC firmware (amdgpu/polaris11_k2_smc.bin)
  * "Polaris 11" K MC firmware (amdgpu/polaris11_k_mc.bin)
  * "Polaris 11" K SMC firmware (amdgpu/polaris11_k_smc.bin)
  * "Polaris 11" MC firmware (amdgpu/polaris11_mc.bin)
  * "Polaris 11" old ME firmware (amdgpu/polaris11_me.bin)
  * "Polaris 11" old MEC firmware (amdgpu/polaris11_mec.bin)
  * "Polaris 11" old MEC2 firmware (amdgpu/polaris11_mec2.bin)
  * "Polaris 11" new MEC2 firmware (amdgpu/polaris11_mec2_2.bin)
  * "Polaris 11" new MEC firmware (amdgpu/polaris11_mec_2.bin)
  * "Polaris 11" new ME firmware (amdgpu/polaris11_me_2.bin)
  * "Polaris 11" old PFP firmware (amdgpu/polaris11_pfp.bin)
  * "Polaris 11" new PFP firmware (amdgpu/polaris11_pfp_2.bin)
  * "Polaris 11" RLC firmware (amdgpu/polaris11_rlc.bin)
  * "Polaris 11" SDMA firmware (amdgpu/polaris11_sdma.bin)
  * "Polaris 11" SDMA1 firmware (amdgpu/polaris11_sdma1.bin)
  * "Polaris 11" SMC firmware (amdgpu/polaris11_smc.bin)
  * "Polaris 11" SMC-SK firmware (amdgpu/polaris11_smc_sk.bin)
  * "Polaris 11" UVD firmware, version 1.130 (amdgpu/polaris11_uvd.bin)
  * "Polaris 11" VCE firmware, version 53.26 (amdgpu/polaris11_vce.bin)
  * "Polaris 12" old CE firmware (amdgpu/polaris12_ce.bin)
  * "Polaris 12" new CE firmware (amdgpu/polaris12_ce_2.bin)
  * "Polaris 12" K MC firmware (amdgpu/polaris12_k_mc.bin)
  * "Polaris 12" K SMC firmware (amdgpu/polaris12_k_smc.bin)
  * "Polaris 12" MC firmware (amdgpu/polaris12_mc.bin)
  * "Polaris 12" old ME firmware (amdgpu/polaris12_me.bin)
  * "Polaris 12" old MEC firmware (amdgpu/polaris12_mec.bin)
  * "Polaris 12" old MEC2 firmware (amdgpu/polaris12_mec2.bin)
  * "Polaris 12" new MEC2 firmware (amdgpu/polaris12_mec2_2.bin)
  * "Polaris 12" new MEC firmware (amdgpu/polaris12_mec_2.bin)
  * "Polaris 12" new ME firmware (amdgpu/polaris12_me_2.bin)
  * "Polaris 12" old PFP firmware (amdgpu/polaris12_pfp.bin)
  * "Polaris 12" new PFP firmware (amdgpu/polaris12_pfp_2.bin)
  * "Polaris 12" RLC firmware (amdgpu/polaris12_rlc.bin)
  * "Polaris 12" SDMA firmware (amdgpu/polaris12_sdma.bin)
  * "Polaris 12" SDMA1 firmware (amdgpu/polaris12_sdma1.bin)
  * "Polaris 12" SMC firmware (amdgpu/polaris12_smc.bin)
  * "Polaris 12" UVD firmware, version 1.130 (amdgpu/polaris12_uvd.bin)
  * "Polaris 12" VCE firmware, version 53.26 (amdgpu/polaris12_vce.bin)
  * "Raven 2" ASD firmware (amdgpu/raven2_asd.bin)
  * "Raven 2" CE firmware (amdgpu/raven2_ce.bin)
  * "Raven 2" GPU info (amdgpu/raven2_gpu_info.bin)
  * "Raven 2" ME firmware (amdgpu/raven2_me.bin)
  * "Raven 2" MEC firmware (amdgpu/raven2_mec.bin)
  * "Raven 2" MEC2 firmware (amdgpu/raven2_mec2.bin)
  * "Raven 2" PFP firmware (amdgpu/raven2_pfp.bin)
  * "Raven 2" RLC firmware (amdgpu/raven2_rlc.bin)
  * "Raven 2" SDMA firmware (amdgpu/raven2_sdma.bin)
  * "Raven 2" TA firmware (amdgpu/raven2_ta.bin)
  * "Raven 2" VCN firmware (amdgpu/raven2_vcn.bin)
  * "Raven" ASD firmware (amdgpu/raven_asd.bin)
  * "Raven" CE firmware (amdgpu/raven_ce.bin)
  * "Raven" DMCU firmware (amdgpu/raven_dmcu.bin)
  * "Raven" GPU info (amdgpu/raven_gpu_info.bin)
  * "Raven refresh" RLC firmware (amdgpu/raven_kicker_rlc.bin)
  * "Raven" ME firmware (amdgpu/raven_me.bin)
  * "Raven" MEC firmware (amdgpu/raven_mec.bin)
  * "Raven" MEC2 firmware (amdgpu/raven_mec2.bin)
  * "Raven" PFP firmware (amdgpu/raven_pfp.bin)
  * "Raven" RLC firmware (amdgpu/raven_rlc.bin)
  * "Raven" SDMA firmware (amdgpu/raven_sdma.bin)
  * "Raven" TA firmware (amdgpu/raven_ta.bin)
  * "Raven" VCN firmware (amdgpu/raven_vcn.bin)
  * "Renoir" ASD firmware (amdgpu/renoir_asd.bin)
  * "Renoir" CE firmware (amdgpu/renoir_ce.bin)
  * "Renoir" DMCUB firmware (amdgpu/renoir_dmcub.bin)
  * "Renoir" GPU info (amdgpu/renoir_gpu_info.bin)
  * "Renoir" ME firmware (amdgpu/renoir_me.bin)
  * "Renoir" MEC firmware (amdgpu/renoir_mec.bin)
  * "Renoir" MEC2 firmware (amdgpu/renoir_mec2.bin)
  * "Renoir" PFP firmware (amdgpu/renoir_pfp.bin)
  * "Renoir" RLC firmware (amdgpu/renoir_rlc.bin)
  * "Renoir" SDMA firmware (amdgpu/renoir_sdma.bin)
  * "Renoir" TA firmware (amdgpu/renoir_ta.bin)
  * "Renoir" VCN firmware (amdgpu/renoir_vcn.bin)
  * Radeon "SI58" MC microcode (amdgpu/si58_mc.bin)
  * amdgpu/sienna_cichlid_ce.bin
  * amdgpu/sienna_cichlid_dmcub.bin
  * amdgpu/sienna_cichlid_me.bin
  * amdgpu/sienna_cichlid_mec.bin
  * amdgpu/sienna_cichlid_mec2.bin
  * amdgpu/sienna_cichlid_pfp.bin
  * amdgpu/sienna_cichlid_rlc.bin
  * amdgpu/sienna_cichlid_sdma.bin
  * amdgpu/sienna_cichlid_smc.bin
  * amdgpu/sienna_cichlid_sos.bin
  * amdgpu/sienna_cichlid_ta.bin
  * amdgpu/sienna_cichlid_vcn.bin
  * "Stoney" CE firmware (amdgpu/stoney_ce.bin)
  * "Stoney" ME firmware (amdgpu/stoney_me.bin)
  * "Stoney" MEC firmware (amdgpu/stoney_mec.bin)
  * "Stoney" PFP firmware (amdgpu/stoney_pfp.bin)
  * "Stoney" RLC firmware (amdgpu/stoney_rlc.bin)
  * "Stoney" SDMA firmware (amdgpu/stoney_sdma.bin)
  * "Stoney" UVD firmware, version 1.38.15 (amdgpu/stoney_uvd.bin)
  * "Stoney" VCE firmware (amdgpu/stoney_vce.bin)
  * Radeon HD 7900 series CE microcode (amdgpu/tahiti_ce.bin)
  * Radeon HD 7900 series K SMC microcode (amdgpu/tahiti_k_smc.bin)
  * Radeon HD 7900 series MC microcode (amdgpu/tahiti_mc.bin)
  * Radeon HD 7900 series ME microcode (amdgpu/tahiti_me.bin)
  * Radeon HD 7900 series PFP microcode (amdgpu/tahiti_pfp.bin)
  * Radeon HD 7900 series RLC microcode (amdgpu/tahiti_rlc.bin)
  * Radeon HD 7900 series SMC microcode (amdgpu/tahiti_smc.bin)
  * Radeon HD 7900 series UVD microcode (amdgpu/tahiti_uvd.bin)
  * "Tonga" CE firmware (amdgpu/tonga_ce.bin)
  * "Tonga" K SMC firmware (amdgpu/tonga_k_smc.bin)
  * "Tonga" MC firmware (amdgpu/tonga_mc.bin)
  * "Tonga" ME firmware (amdgpu/tonga_me.bin)
  * "Tonga" MEC firmware (amdgpu/tonga_mec.bin)
  * "Tonga" MEC2 firmware (amdgpu/tonga_mec2.bin)
  * "Tonga" PFP firmware (amdgpu/tonga_pfp.bin)
  * "Tonga" RLC firmware (amdgpu/tonga_rlc.bin)
  * "Tonga" SDMA firmware (amdgpu/tonga_sdma.bin)
  * "Tonga" SDMA1 firmware (amdgpu/tonga_sdma1.bin)
  * "Tonga" SMC firmware (amdgpu/tonga_smc.bin)
  * "Tonga" UVD firmware, version 1.65.10 (amdgpu/tonga_uvd.bin)
  * "Tonga" VCE firmware, version 52.8.3 (amdgpu/tonga_vce.bin)
  * "Topaz" CE firmware (amdgpu/topaz_ce.bin)
  * "Topaz" K SMC firmware (amdgpu/topaz_k_smc.bin)
  * "Topaz" MC firmware (amdgpu/topaz_mc.bin)
  * "Topaz" ME firmware (amdgpu/topaz_me.bin)
  * "Topaz" MEC firmware (amdgpu/topaz_mec.bin)
  * "Topaz" MEC2 firmware (amdgpu/topaz_mec2.bin)
  * "Topaz" PFP firmware (amdgpu/topaz_pfp.bin)
  * "Topaz" RLC firmware (amdgpu/topaz_rlc.bin)
  * "Topaz" SDMA firmware (amdgpu/topaz_sdma.bin)
  * "Topaz" SDMA1 firmware (amdgpu/topaz_sdma1.bin)
  * "Topaz" SMC firmware (amdgpu/topaz_smc.bin)
  * "Vega 10" ACG-SMC firmware (amdgpu/vega10_acg_smc.bin)
  * "Vega 10" ASD firmware (amdgpu/vega10_asd.bin)
  * "Vega 10" CE firmware (amdgpu/vega10_ce.bin)
  * "Vega 10" GPU info (amdgpu/vega10_gpu_info.bin)
  * "Vega 10" ME firmware (amdgpu/vega10_me.bin)
  * "Vega 10" MEC firmware (amdgpu/vega10_mec.bin)
  * "Vega 10" MEC2 firmware (amdgpu/vega10_mec2.bin)
  * "Vega 10" PFP firmware (amdgpu/vega10_pfp.bin)
  * "Vega 10" RLC firmware (amdgpu/vega10_rlc.bin)
  * "Vega 10" SDMA firmware (amdgpu/vega10_sdma.bin)
  * "Vega 10" SDMA1 firmware (amdgpu/vega10_sdma1.bin)
  * "Vega 10" SMC firmware (amdgpu/vega10_smc.bin)
  * "Vega 10" SOS firmware (amdgpu/vega10_sos.bin)
  * "Vega 10" UVD firmware (amdgpu/vega10_uvd.bin)
  * "Vega 10" VCE firmware (amdgpu/vega10_vce.bin)
  * "Vega 12" ASD firmware (amdgpu/vega12_asd.bin)
  * "Vega 12" CE firmware (amdgpu/vega12_ce.bin)
  * "Vega 12" GPU info (amdgpu/vega12_gpu_info.bin)
  * "Vega 12" ME firmware (amdgpu/vega12_me.bin)
  * "Vega 12" MEC firmware (amdgpu/vega12_mec.bin)
  * "Vega 12" MEC2 firmware (amdgpu/vega12_mec2.bin)
  * "Vega 12" PFP firmware (amdgpu/vega12_pfp.bin)
  * "Vega 12" RLC firmware (amdgpu/vega12_rlc.bin)
  * "Vega 12" SDMA firmware (amdgpu/vega12_sdma.bin)
  * "Vega 12" SDMA1 firmware (amdgpu/vega12_sdma1.bin)
  * "Vega 12" SMC firmware (amdgpu/vega12_smc.bin)
  * "Vega 12" SOS firmware (amdgpu/vega12_sos.bin)
  * "Vega 12" UVD firmware (amdgpu/vega12_uvd.bin)
  * "Vega 12" VCE firmware (amdgpu/vega12_vce.bin)
  * "Vega 20" ASD firmware (amdgpu/vega20_asd.bin)
  * "Vega 20" CE firmware (amdgpu/vega20_ce.bin)
  * "Vega 20" ME firmware (amdgpu/vega20_me.bin)
  * "Vega 20" MEC firmware (amdgpu/vega20_mec.bin)
  * "Vega 20" MEC2 firmware (amdgpu/vega20_mec2.bin)
  * "Vega 20" PFP firmware (amdgpu/vega20_pfp.bin)
  * "Vega 20" RLC firmware (amdgpu/vega20_rlc.bin)
  * "Vega 20" SDMA firmware (amdgpu/vega20_sdma.bin)
  * "Vega 20" SDMA1 firmware (amdgpu/vega20_sdma1.bin)
  * "Vega 20" SMC firmware (amdgpu/vega20_smc.bin)
  * "Vega 20" SOS firmware (amdgpu/vega20_sos.bin)
  * "Vega 20" UVD firmware (amdgpu/vega20_uvd.bin)
  * "Vega 20" VCE firmware (amdgpu/vega20_vce.bin)
  * "Vega 20" TA firmware (amdgpu/vega20_ta.bin)
  * "Vega M" CE firmware (amdgpu/vegam_ce.bin)
  * "Vega M" ME firmware (amdgpu/vegam_me.bin)
  * "Vega M" MEC firmware (amdgpu/vegam_mec.bin)
  * "Vega M" MEC2 firmware (amdgpu/vegam_mec2.bin)
  * "Vega M" PFP firmware (amdgpu/vegam_pfp.bin)
  * "Vega M" RLC firmware (amdgpu/vegam_rlc.bin)
  * "Vega M" SDMA firmware (amdgpu/vegam_sdma.bin)
  * "Vega M" SDMA1 firmware (amdgpu/vegam_sdma1.bin)
  * "Vega M" SMC firmware (amdgpu/vegam_smc.bin)
  * "Vega M" UVD firmware (amdgpu/vegam_uvd.bin)
  * "Vega M" VCE firmware (amdgpu/vegam_vce.bin)
  * Radeon HD 7700 series CE microcode (amdgpu/verde_ce.bin)
  * Radeon HD 7700 series K SMC microcode (amdgpu/verde_k_smc.bin)
  * Radeon HD 7700 series MC microcode (amdgpu/verde_mc.bin)
  * Radeon HD 7700 series ME microcode (amdgpu/verde_me.bin)
  * Radeon HD 7700 series PFP microcode (amdgpu/verde_pfp.bin)
  * Radeon HD 7700 series RLC microcode (amdgpu/verde_rlc.bin)
  * Radeon HD 7700 series SMC microcode (amdgpu/verde_smc.bin)
  * Radeon HD 7700 series UVD microcode (amdgpu/verde_uvd.bin)
  * Rage 128 CCE microcode (r128/r128_cce.bin)
  * Radeon HD IGP 7500/7600 series ME microcode (radeon/ARUBA_me.bin)
  * Radeon HD IGP 7500/7600 series PFP microcode (radeon/ARUBA_pfp.bin)
  * Radeon HD IGP 7500/7600 series RLC microcode (radeon/ARUBA_rlc.bin)
  * "Banks" K-2 SMC microcode (radeon/banks_k_2_smc.bin)
  * Radeon HD 6800 series MC microcode (radeon/BARTS_mc.bin)
  * Radeon HD 6800 series ME microcode (radeon/BARTS_me.bin)
  * Radeon HD 6800 series PFP microcode (radeon/BARTS_pfp.bin)
  * Radeon HD 6800 series SMC microcode (radeon/BARTS_smc.bin)
  * Radeon HD 7790/8770/8950 CE microcode (radeon/BONAIRE_ce.bin)
  * Radeon HD 7790/8770/8950 CE microcode (radeon/bonaire_ce.bin)
  * Radeon HD 7790/8770/8950 K SMC microcode (radeon/bonaire_k_smc.bin)
  * Radeon HD 7790/8770/8950 MC microcode, version 1
    (radeon/BONAIRE_mc.bin)
  * Radeon HD 7790/8770/8950 MC microcode (radeon/bonaire_mc.bin)
  * Radeon HD 7790/8770/8950 MC microcode, version 2
    (radeon/BONAIRE_mc2.bin)
  * Radeon HD 7790/8770/8950 ME microcode (radeon/BONAIRE_me.bin)
  * Radeon HD 7790/8770/8950 ME microcode (radeon/bonaire_me.bin)
  * Radeon HD 7790/8770/8950 MEC microcode (radeon/BONAIRE_mec.bin)
  * Radeon HD 7790/8770/8950 MEC microcode (radeon/bonaire_mec.bin)
  * Radeon HD 7790/8770/8950 PFP microcode (radeon/BONAIRE_pfp.bin)
  * Radeon HD 7790/8770/8950 PFP microcode (radeon/bonaire_pfp.bin)
  * Radeon HD 7790/8770/8950 RLC microcode (radeon/BONAIRE_rlc.bin)
  * Radeon HD 7790/8770/8950 RLC microcode (radeon/bonaire_rlc.bin)
  * Radeon HD 7790/8770/8950 SDMA microcode (radeon/BONAIRE_sdma.bin)
  * Radeon HD 7790/8770/8950 SDMA microcode (radeon/bonaire_sdma.bin)
  * Radeon HD 7790/8770/8950 SDMA1 microcode (radeon/bonaire_sdma1.bin)
  * Radeon HD 7790/8770/8950 series SMC microcode
    (radeon/BONAIRE_smc.bin)
  * Radeon HD 7790/8770/8950 series SMC microcode
    (radeon/bonaire_smc.bin)
  * Radeon HD 7790/8770/8950, 8100/8200/8300/8400 series, and
    "Mullins"/"Beema" IGP UVD microcode (radeon/BONAIRE_uvd.bin)
  * Radeon HD 7790/8770/8950 UVD microcode (radeon/bonaire_uvd.bin)
  * Radeon HD VCE microcode (radeon/BONAIRE_vce.bin)
  * Radeon HD 7790/8770/8950 VCE microcode (radeon/bonaire_vce.bin)
  * Radeon HD 6300/6500/6800 series RLC microcode (radeon/BTC_rlc.bin)
  * Radeon HD 6300 series MC microcode (radeon/CAICOS_mc.bin)
  * Radeon HD 6300 series ME microcode (radeon/CAICOS_me.bin)
  * Radeon HD 6300 series PFP microcode (radeon/CAICOS_pfp.bin)
  * Radeon HD 6300 series SMC microcode (radeon/CAICOS_smc.bin)
  * Radeon HD 6900 series MC microcode (radeon/CAYMAN_mc.bin)
  * Radeon HD 6900 series ME microcode (radeon/CAYMAN_me.bin)
  * Radeon HD 6900 series PFP microcode (radeon/CAYMAN_pfp.bin)
  * Radeon HD 6900 series RLC microcode (radeon/CAYMAN_rlc.bin)
  * Radeon HD 6900 series SMC microcode (radeon/CAYMAN_smc.bin)
  * Radeon HD 5400 series ME microcode (radeon/CEDAR_me.bin)
  * Radeon HD 5400 series PFP microcode (radeon/CEDAR_pfp.bin)
  * Radeon HD 5400 series RLC microcode (radeon/CEDAR_rlc.bin)
  * Radeon HD 5400 series SMC microcode (radeon/CEDAR_smc.bin)
  * Radeon HD 5800/5900 series ME microcode (radeon/CYPRESS_me.bin)
  * Radeon HD 5800/5900 series PFP microcode (radeon/CYPRESS_pfp.bin)
  * Radeon HD 5800/5900 series RLC microcode (radeon/CYPRESS_rlc.bin)
  * Radeon HD 5800/5900 series SMC microcode (radeon/CYPRESS_smc.bin)
  * Radeon HD 5x00 series UVD microcode (radeon/CYPRESS_uvd.bin)
  * Radeon HD 8500M series and R5 M200 CE microcode
    (radeon/HAINAN_ce.bin)
  * Radeon HD 8500M series and R5 M200 CE microcode
    (radeon/hainan_ce.bin)
  * Radeon HD 8500M series and R5 M200 K SMC microcode
    (radeon/hainan_k_smc.bin)
  * Radeon HD 8500M series and R5 M200 MC microcode, version 1
    (radeon/HAINAN_mc.bin)
  * Radeon HD 8500M series and R5 M200 MC microcode
    (radeon/hainan_mc.bin)
  * Radeon HD 8500M series and R5 M200 MC microcode, version 2
    (radeon/HAINAN_mc2.bin)
  * Radeon HD 8500M series and R5 M200 ME microcode
    (radeon/HAINAN_me.bin)
  * Radeon HD 8500M series and R5 M200 ME microcode
    (radeon/hainan_me.bin)
  * Radeon HD 8500M series and R5 M200 PFP microcode
    (radeon/HAINAN_pfp.bin)
  * Radeon HD 8500M series and R5 M200 PFP microcode
    (radeon/hainan_pfp.bin)
  * Radeon HD 8500M series and R5 M200 RLC microcode
    (radeon/HAINAN_rlc.bin)
  * Radeon HD 8500M series and R5 M200 RLC microcode
    (radeon/hainan_rlc.bin)
  * Radeon HD 8500M series and R5 M200 SMC microcode
    (radeon/HAINAN_smc.bin)
  * Radeon HD 8500M series and R5 M200 SMC microcode
    (radeon/hainan_smc.bin)
  * Radeon R9 290 series CE microcode (radeon/HAWAII_ce.bin)
  * Radeon R9 290 series CE microcode (radeon/hawaii_ce.bin)
  * Radeon R9 290 series K SMC microcode (radeon/hawaii_k_smc.bin)
  * Radeon R9 290 series MC microcode, version 1 (radeon/HAWAII_mc.bin)
  * Radeon R9 290 series MC microcode (radeon/hawaii_mc.bin)
  * Radeon R9 290 series MC microcode, version 2 (radeon/HAWAII_mc2.bin)
  * Radeon R9 290 series ME microcode (radeon/HAWAII_me.bin)
  * Radeon R9 290 series ME microcode (radeon/hawaii_me.bin)
  * Radeon R9 290 series MEC microcode (radeon/HAWAII_mec.bin)
  * Radeon R9 290 series MEC microcode (radeon/hawaii_mec.bin)
  * Radeon R9 290 series PFP microcode (radeon/HAWAII_pfp.bin)
  * Radeon R9 290 series PFP microcode (radeon/hawaii_pfp.bin)
  * Radeon R9 290 series RLC microcode (radeon/HAWAII_rlc.bin)
  * Radeon R9 290 series RLC microcode (radeon/hawaii_rlc.bin)
  * Radeon R9 290 series SDMA microcode (radeon/HAWAII_sdma.bin)
  * Radeon R9 290 series SDMA microcode (radeon/hawaii_sdma.bin)
  * Radeon R9 290 series SDMA microcode (radeon/hawaii_sdma1.bin)
  * Radeon R9 290 series SMC microcode (radeon/HAWAII_smc.bin)
  * Radeon R9 290 series SMC microcode (radeon/hawaii_smc.bin)
  * Radeon R9 290 series UVD microcode (radeon/hawaii_uvd.bin)
  * Radeon R9 290 series VCE microcode (radeon/hawaii_vce.bin)
  * Radeon HD 5700 series ME microcode (radeon/JUNIPER_me.bin)
  * Radeon HD 5700 series PFP microcode (radeon/JUNIPER_pfp.bin)
  * Radeon HD 5700 series RLC microcode (radeon/JUNIPER_rlc.bin)
  * Radeon HD 5700 series SMC microcode (radeon/JUNIPER_smc.bin)
  * Radeon HD 8100/8200/8300/8400 series CE microcode
    (radeon/KABINI_ce.bin)
  * Radeon HD 8100/8200/8300/8400 series CE microcode
    (radeon/kabini_ce.bin)
  * Radeon HD 8100/8200/8300/8400 series ME microcode
    (radeon/KABINI_me.bin)
  * Radeon HD 8100/8200/8300/8400 series ME microcode
    (radeon/kabini_me.bin)
  * Radeon HD 8100/8200/8300/8400 series MEC microcode
    (radeon/KABINI_mec.bin)
  * Radeon HD 8100/8200/8300/8400 series MEC microcode
    (radeon/kabini_mec.bin)
  * Radeon HD 8100/8200/8300/8400 series PFP microcode
    (radeon/KABINI_pfp.bin)
  * Radeon HD 8100/8200/8300/8400 series PFP microcode
    (radeon/kabini_pfp.bin)
  * Radeon HD 8100/8200/8300/8400 series RLC microcode
    (radeon/KABINI_rlc.bin)
  * Radeon HD 8100/8200/8300/8400 series RLC microcode
    (radeon/kabini_rlc.bin)
  * Radeon HD 8100/8200/8300/8400 series SDMA microcode
    (radeon/KABINI_sdma.bin)
  * Radeon HD 8100/8200/8300/8400 series SDMA microcode
    (radeon/kabini_sdma.bin)
  * Radeon HD 8100/8200/8300/8400 series SDMA1 microcode
    (radeon/kabini_sdma1.bin)
  * Radeon HD 8100/8200/8300/8400 series UVD microcode
    (radeon/kabini_uvd.bin)
  * Radeon HD 8100/8200/8300/8400 series VCE microcode
    (radeon/kabini_vce.bin)
  * Radeon R5/R7 IGP 200 series CE microcode (radeon/KAVERI_ce.bin)
  * Radeon R5/R7 IGP 200 series CE microcode (radeon/kaveri_ce.bin)
  * Radeon R5/R7 IGP 200 series ME microcode (radeon/KAVERI_me.bin)
  * Radeon R5/R7 IGP 200 series ME microcode (radeon/kaveri_me.bin)
  * Radeon R5/R7 IGP 200 series MEC microcode (radeon/KAVERI_mec.bin)
  * Radeon R5/R7 IGP 200 series MEC microcode, version 396
    (radeon/kaveri_mec.bin)
  * Radeon R5/R7 IGP 200 series MEC microcode, version 396
    (radeon/kaveri_mec2.bin)
  * Radeon R5/R7 IGP 200 series PFP microcode (radeon/KAVERI_pfp.bin)
  * Radeon R5/R7 IGP 200 series PFP microcode (radeon/kaveri_pfp.bin)
  * Radeon R5/R7 IGP 200 series RLC microcode (radeon/KAVERI_rlc.bin)
  * Radeon R5/R7 IGP 200 series RLC microcode (radeon/kaveri_rlc.bin)
  * Radeon R5/R7 IGP 200 series SDMA microcode (radeon/KAVERI_sdma.bin)
  * Radeon R5/R7 IGP 200 series SDMA microcode (radeon/kaveri_sdma.bin)
  * Radeon R5/R7 IGP 200 series SDMA1 microcode
    (radeon/kaveri_sdma1.bin)
  * Radeon R5/R7 IGP 200 series UVD microcode (radeon/kaveri_uvd.bin)
  * Radeon R5/R7 IGP 200 series VCE microcode (radeon/kaveri_vce.bin)
  * Radeon "Mullins"/"Beema" IGP CE microcode (radeon/MULLINS_ce.bin)
  * Radeon "Mullins"/"Beema" IGP CE microcode (radeon/mullins_ce.bin)
  * Radeon "Mullins"/"Beema" IGP ME microcode (radeon/MULLINS_me.bin)
  * Radeon "Mullins"/"Beema" IGP ME microcode (radeon/mullins_me.bin)
  * Radeon "Mullins"/"Beema" IGP MEC microcode (radeon/MULLINS_mec.bin)
  * Radeon "Mullins"/"Beema" IGP MEC microcode (radeon/mullins_mec.bin)
  * Radeon "Mullins"/"Beema" IGP PFP microcode (radeon/MULLINS_pfp.bin)
  * Radeon "Mullins"/"Beema" IGP PFP microcode (radeon/mullins_pfp.bin)
  * Radeon "Mullins"/"Beema" IGP RLC microcode (radeon/MULLINS_rlc.bin)
  * Radeon "Mullins"/"Beema" IGP RLC microcode (radeon/mullins_rlc.bin)
  * Radeon "Mullins"/"Beema" IGP SDMA microcode
    (radeon/MULLINS_sdma.bin)
  * Radeon "Mullins"/"Beema" IGP SDMA microcode
    (radeon/mullins_sdma.bin)
  * Radeon "Mullins"/"Beema" IGP SDMA1 microcode
    (radeon/mullins_sdma1.bin)
  * Radeon "Mullins"/"Beema" IGP UVD microcode (radeon/mullins_uvd.bin)
  * Radeon "Mullins"/"Beema" IGP VCE microcode (radeon/mullins_vce.bin)
  * Radeon HD 8500/8600/8700 series CE microcode (radeon/OLAND_ce.bin)
  * Radeon HD 8500/8600/8700 series CE microcode (radeon/oland_ce.bin)
  * Radeon HD 8500/8600/8700 series K SMC microcode
    (radeon/oland_k_smc.bin)
  * Radeon HD 8500/8600/8700 series MC microcode, version 1
    (radeon/OLAND_mc.bin)
  * Radeon HD 8500/8600/8700 series MC microcode (radeon/oland_mc.bin)
  * Radeon HD 8500/8600/8700 series MC microcode, version 2
    (radeon/OLAND_mc2.bin)
  * Radeon HD 8500/8600/8700 series ME microcode (radeon/OLAND_me.bin)
  * Radeon HD 8500/8600/8700 series ME microcode (radeon/oland_me.bin)
  * Radeon HD 8500/8600/8700 series PFP microcode (radeon/OLAND_pfp.bin)
  * Radeon HD 8500/8600/8700 series PFP microcode (radeon/oland_pfp.bin)
  * Radeon HD 8500/8600/8700 series RLC microcode (radeon/OLAND_rlc.bin)
  * Radeon HD 8500/8600/8700 series RLC microcode (radeon/oland_rlc.bin)
  * Radeon HD 8500/8600/8700 series SMC microcode (radeon/OLAND_smc.bin)
  * Radeon HD 8500/8600/8700 series SMC microcode (radeon/oland_smc.bin)
  * Radeon HD IGP 6200/6300/7300 series ME microcode
    (radeon/PALM_me.bin)
  * Radeon HD IGP 6200/6300/7300 series PFP microcode
    (radeon/PALM_pfp.bin)
  * Radeon HD 7800 series CE microcode (radeon/PITCAIRN_ce.bin)
  * Radeon HD 7800 series CE microcode (radeon/pitcairn_ce.bin)
  * Radeon HD 7800 series K SMC microcode (radeon/pitcairn_k_smc.bin)
  * Radeon HD 7800 series MC microcode, version 1
    (radeon/PITCAIRN_mc.bin)
  * Radeon HD 7800 series MC microcode (radeon/pitcairn_mc.bin)
  * Radeon HD 7800 series MC microcode, version 2
    (radeon/PITCAIRN_mc2.bin)
  * Radeon HD 7800 series ME microcode (radeon/PITCAIRN_me.bin)
  * Radeon HD 7800 series ME microcode (radeon/pitcairn_me.bin)
  * Radeon HD 7800 series PFP microcode (radeon/PITCAIRN_pfp.bin)
  * Radeon HD 7800 series PFP microcode (radeon/pitcairn_pfp.bin)
  * Radeon HD 7800 series RLC microcode (radeon/PITCAIRN_rlc.bin)
  * Radeon HD 7800 series RLC microcode (radeon/pitcairn_rlc.bin)
  * Radeon HD 7800 series SMC microcode (radeon/PITCAIRN_smc.bin)
  * Radeon HD 7800 series SMC microcode (radeon/pitcairn_smc.bin)
  * Radeon R100-family CP microcode (radeon/R100_cp.bin)
  * Radeon R200-family CP microcode (radeon/R200_cp.bin)
  * Radeon R300-family CP microcode (radeon/R300_cp.bin)
  * Radeon R400-family CP microcode (radeon/R420_cp.bin)
  * Radeon R500-family CP microcode (radeon/R520_cp.bin)
  * Radeon R600 ME microcode (radeon/R600_me.bin)
  * Radeon R600 PFP microcode (radeon/R600_pfp.bin)
  * Radeon R600-family RLC microcode (radeon/R600_rlc.bin)
  * Radeon R600 UVD microcode (radeon/R600_uvd.bin)
  * Radeon R700-family RLC microcode (radeon/R700_rlc.bin)
  * Radeon HD 5500/5600 series ME microcode (radeon/REDWOOD_me.bin)
  * Radeon HD 5500/5600 series PFP microcode (radeon/REDWOOD_pfp.bin)
  * Radeon HD 5500/5600 series RLC microcode (radeon/REDWOOD_rlc.bin)
  * Radeon HD 5500/5600 series SMC microcode (radeon/REDWOOD_smc.bin)
  * Radeon RS600 CP microcode (radeon/RS600_cp.bin)
  * Radeon RS690 CP microcode (radeon/RS690_cp.bin)
  * Radeon RS780 ME microcode (radeon/RS780_me.bin)
  * Radeon RS780 PFP microcode (radeon/RS780_pfp.bin)
  * Radeon RS780 UVD microcode (radeon/RS780_uvd.bin)
  * Radeon RV610 ME microcode (radeon/RV610_me.bin)
  * Radeon RV610 PFP microcode (radeon/RV610_pfp.bin)
  * Radeon RV620 ME microcode (radeon/RV620_me.bin)
  * Radeon RV620 PFP microcode (radeon/RV620_pfp.bin)
  * Radeon RV630 ME microcode (radeon/RV630_me.bin)
  * Radeon RV630 PFP microcode (radeon/RV630_pfp.bin)
  * Radeon RV635 ME microcode (radeon/RV635_me.bin)
  * Radeon RV635 PFP microcode (radeon/RV635_pfp.bin)
  * Radeon RV670 ME microcode (radeon/RV670_me.bin)
  * Radeon RV670 PFP microcode (radeon/RV670_pfp.bin)
  * Radeon RV710 ME microcode (radeon/RV710_me.bin)
  * Radeon RV710 PFP microcode (radeon/RV710_pfp.bin)
  * Radeon RV710 SMC microcode (radeon/RV710_smc.bin)
  * Radeon RV710/RV730/RV740 UVD microcode (radeon/RV710_uvd.bin)
  * Radeon RV730/RV740 ME microcode (radeon/RV730_me.bin)
  * Radeon RV730/RV740 PFP microcode (radeon/RV730_pfp.bin)
  * Radeon RV730 SMC microcode (radeon/RV730_smc.bin)
  * Radeon RV740 SMC microcode (radeon/RV740_smc.bin)
  * Radeon RV770 ME microcode (radeon/RV770_me.bin)
  * Radeon RV770 PFP microcode (radeon/RV770_pfp.bin)
  * Radeon RV770 SMC microcode (radeon/RV770_smc.bin)
  * Radeon RV770 UVD microcode (radeon/RV770_uvd.bin)
  * Radeon "SI58" MC microcode (radeon/si58_mc.bin)
  * Radeon HD 6370D/6380G/6410D ME microcode (radeon/SUMO2_me.bin)
  * Radeon HD 6370D/6380G/6410D PFP microcode (radeon/SUMO2_pfp.bin)
  * Radeon HD IGP 6400/6500/6600 series ME microcode
    (radeon/SUMO_me.bin)
  * Radeon HD IGP 6400/6500/6600 series PFP microcode
    (radeon/SUMO_pfp.bin)
  * Radeon HD IGP 6200/6300/6400/6500/6600/7300 series RLC microcode
    (radeon/SUMO_rlc.bin)
  * Radeon HD 6x00/7500 series and IGP 6x00/7300 series UVD microcode
    (radeon/SUMO_uvd.bin)
  * Radeon HD 7900 series CE microcode (radeon/TAHITI_ce.bin)
  * Radeon HD 7900 series CE microcode (radeon/tahiti_ce.bin)
  * Radeon HD 7900 series K SMC microcode (radeon/tahiti_k_smc.bin)
  * Radeon HD 7900 series MC microcode, version 1 (radeon/TAHITI_mc.bin)
  * Radeon HD 7900 series MC microcode (radeon/tahiti_mc.bin)
  * Radeon HD 7900 series MC microcode, version 2
    (radeon/TAHITI_mc2.bin)
  * Radeon HD 7900 series ME microcode (radeon/TAHITI_me.bin)
  * Radeon HD 7900 series ME microcode (radeon/tahiti_me.bin)
  * Radeon HD 7900 series PFP microcode (radeon/TAHITI_pfp.bin)
  * Radeon HD 7900 series PFP microcode (radeon/tahiti_pfp.bin)
  * Radeon HD 7900 series RLC microcode (radeon/TAHITI_rlc.bin)
  * Radeon HD 7900 series RLC microcode (radeon/tahiti_rlc.bin)
  * Radeon HD 7900 series SMC microcode (radeon/TAHITI_smc.bin)
  * Radeon HD 7900 series SMC microcode (radeon/tahiti_smc.bin)
  * Radeon HD 7900 series UVD microcode (radeon/TAHITI_uvd.bin)
  * Radeon HD 7900 series VCE microcode (radeon/TAHITI_vce.bin)
  * Radeon HD 6500/6600/7500 series MC microcode (radeon/TURKS_mc.bin)
  * Radeon HD 6500/6600/7500 series ME microcode (radeon/TURKS_me.bin)
  * Radeon HD 6500/6600/7500 series PFP microcode (radeon/TURKS_pfp.bin)
  * Radeon HD 6500/6600/7500 series SMC microcode (radeon/TURKS_smc.bin)
  * Radeon HD 7700 series CE microcode (radeon/VERDE_ce.bin)
  * Radeon HD 7700 series CE microcode (radeon/verde_ce.bin)
  * Radeon HD 7700 series K SMC microcode (radeon/verde_k_smc.bin)
  * Radeon HD 7700 series MC microcode, version 1 (radeon/VERDE_mc.bin)
  * Radeon HD 7700 series MC microcode (radeon/verde_mc.bin)
  * Radeon HD 7700 series MC microcode, version 2 (radeon/VERDE_mc2.bin)
  * Radeon HD 7700 series ME microcode (radeon/VERDE_me.bin)
  * Radeon HD 7700 series ME microcode (radeon/verde_me.bin)
  * Radeon HD 7700 series PFP microcode (radeon/VERDE_pfp.bin)
  * Radeon HD 7700 series PFP microcode (radeon/verde_pfp.bin)
  * Radeon HD 7700 series RLC microcode (radeon/VERDE_rlc.bin)
  * Radeon HD 7700 series RLC microcode (radeon/verde_rlc.bin)
  * Radeon HD 7700 series SMC microcode (radeon/VERDE_smc.bin)
  * Radeon HD 7700 series SMC microcode (radeon/verde_smc.bin)

Package: firmware-atheros
Description-md5: e4d414c081ba686b46926929f304013e
Description-en: Binary firmware for Qualcomm Atheros wireless cards
 This package contains the binary firmware for USB wireless network and
 Bluetooth cards supported by the ar5523, ath3k, ath6kl_sdio, ath6kl_usb,
 ath9k_htc, ath10k, or wilc6210 drivers.
 .
 Contents:
  * Atheros AR3012 rev 01020001 patch (ar3k/AthrBT_0x01020001.dfu)
  * Atheros AR3012 rev 01020200 patch (ar3k/AthrBT_0x01020200.dfu)
  * Atheros AR3012 rev 01020201 patch, version 170
    (ar3k/AthrBT_0x01020201.dfu)
  * Atheros AR3012 rev 11020000 patch (ar3k/AthrBT_0x11020000.dfu)
  * Atheros AR3012 rev 11020100 patch (ar3k/AthrBT_0x11020100.dfu)
  * Atheros AR3012 rev 31010000 patch (ar3k/AthrBT_0x31010000.dfu)
  * Atheros AR3012 rev 31010100 patch (ar3k/AthrBT_0x31010100.dfu)
  * Atheros AR3012 rev 41020000 patch (ar3k/AthrBT_0x41020000.dfu)
  * Atheros AR3012 rev 01020001 config (ar3k/ramps_0x01020001_26.dfu)
  * Atheros AR3012 rev 01020200 26 MHz config
    (ar3k/ramps_0x01020200_26.dfu)
  * Atheros AR3012 rev 01020200 40 MHz config
    (ar3k/ramps_0x01020200_40.dfu)
  * Atheros AR3012 rev 01020201 26 MHz config
    (ar3k/ramps_0x01020201_26.dfu)
  * Atheros AR3012 rev 01020201 40 MHz config
    (ar3k/ramps_0x01020201_40.dfu)
  * Atheros AR3012 rev 11020000 config (ar3k/ramps_0x11020000_40.dfu)
  * Atheros AR3012 rev 11020100 config (ar3k/ramps_0x11020100_40.dfu)
  * Atheros AR3012 rev 31010000 config (ar3k/ramps_0x31010000_40.dfu)
  * Atheros AR3012 rev 31010100 config (ar3k/ramps_0x31010100_40.dfu)
  * Atheros AR3012 rev 41020000 config (ar3k/ramps_0x41020000_40.dfu)
  * Atheros AR5523 firmware (ar5523.bin)
  * Atheros AR7010 rev 1.0 firmware (ar7010.fw)
  * Atheros AR7010 rev 1.1 firmware (ar7010_1_1.fw)
  * Atheros AR9271 firmware (ar9271.fw)
  * Qualcomm Atheros QCA4019 rev 1.0 board configuration
    (ath10k/QCA4019/hw1.0/board-2.bin)
  * Qualcomm Atheros QCA4019 rev 1.0 firmware, version 10.4-3.6-00140
    (ath10k/QCA4019/hw1.0/firmware-5.bin)
  * Qualcomm Atheros QCA6174 rev 2.1 board configuration, version 1
    (ath10k/QCA6174/hw2.1/board.bin)
  * Qualcomm Atheros QCA6174 rev 2.1 board configuration, version 2
    (ath10k/QCA6174/hw2.1/board-2.bin)
  * Qualcomm Atheros QCA6174 rev 2.1 firmware, version
    SW_RM.1.1.1-00157-QCARMSWPZ-1 (ath10k/QCA6174/hw2.1/firmware-5.bin)
  * Qualcomm Atheros QCA6174 rev 3.0 board configuration, version 1
    (ath10k/QCA6174/hw3.0/board.bin)
  * Qualcomm Atheros QCA6174 rev 3.0 board configuration
    (ath10k/QCA6174/hw3.0/board-2.bin)
  * Qualcomm Atheros QCA6174 rev 3.0 firmware, version
    WLAN.RM.2.0-00180-QCARMSWPZ-1 (ath10k/QCA6174/hw3.0/firmware-4.bin)
  * Qualcomm Atheros QCA6174 rev 3.0 firmware, version
    WLAN.RM.4.4.1-00157-QCARMSWPZ-1
    (ath10k/QCA6174/hw3.0/firmware-6.bin)
  * Qualcomm Atheros QCA6174 SDIO rev 3.0 firmware, version
    WLAN.RMH.4.4.1-00077 (ath10k/QCA6174/hw3.0/firmware-sdio-6.bin)
  * Qualcomm Atheros QCA9377 rev 1.0 board configuration, version 1
    (ath10k/QCA9377/hw1.0/board.bin)
  * Qualcomm Atheros QCA9377 rev 1.0 board configuration, version 2
    (ath10k/QCA9377/hw1.0/board-2.bin)
  * Qualcomm Atheros QCA9377 rev 1.0 firmware, version
    WLAN.TF.1.0-00267-1 (ath10k/QCA9377/hw1.0/firmware-5.bin)
  * Qualcomm Atheros QCA9377 rev 1.0 firmware, version
    WLAN.TF.2.1-00021-QCARMSWP-1 (ath10k/QCA9377/hw1.0/firmware-6.bin)
  * Qualcomm Atheros QCA9377 rev 1.0 firmware, version
    WLAN.TF.1.1.1-00061-QCATFSWPZ-1
    (ath10k/QCA9377/hw1.0/firmware-sdio-5.bin)
  * Qualcomm Atheros QCA9887 rev 1.0 board configuration, version 1
    (ath10k/QCA9887/hw1.0/board.bin)
  * Qualcomm Atheros QCA9887 rev 1.0 firmware, version 10.2.4-1.0-00041
    (ath10k/QCA9887/hw1.0/firmware-5.bin)
  * Qualcomm Atheros QCA9888 rev 2.0 board configuration, version 2
    (ath10k/QCA9888/hw2.0/board-2.bin)
  * Qualcomm Atheros QCA9888 rev 2.0 firmware, version
    10.4-3.9.0.2-00131 (ath10k/QCA9888/hw2.0/firmware-5.bin)
  * Qualcomm Atheros QCA988X board configuration, version 1
    (ath10k/QCA988X/hw2.0/board.bin)
  * Qualcomm Atheros QCA988X firmware, version 10.2.4.45
    (ath10k/QCA988X/hw2.0/firmware-4.bin)
  * Qualcomm Atheros QCA988X firmware, version 10.2.4-1.0-00043
    (ath10k/QCA988X/hw2.0/firmware-5.bin)
  * Qualcomm Atheros QCA9984 rev 1.0 board configuration, version 2
    (ath10k/QCA9984/hw1.0/board-2.bin)
  * Qualcomm Atheros QCA9984 rev 1.0 firmware, version
    10.4-3.9.0.2-00131 (ath10k/QCA9984/hw1.0/firmware-5.bin)
  * Qualcomm Atheros QCA99X0 board configuration, version 1
    (ath10k/QCA99X0/hw2.0/board.bin)
  * Qualcomm Atheros QCA99X0 firmware, version 10.4.1.00030-1
    (ath10k/QCA99X0/hw2.0/firmware-5.bin)
  * Qualcomm Atheros WCN3990 firmware
    (ath10k/WCN3990/hw1.0/firmware-5.bin)
  * Qualcomm Atheros WCN3990 wlan DSP firmware
    (ath10k/WCN3990/hw1.0/wlanmdsp.mbn)
  * Qualcomm Atheros IPQ6018 802.11ax board-2.bin firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/board-2.bin)
  * Qualcomm Atheros IPQ6018 802.11ax m3_fw.b00 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/m3_fw.b00)
  * Qualcomm Atheros IPQ6018 802.11ax m3_fw.b01 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/m3_fw.b01)
  * Qualcomm Atheros IPQ6018 802.11ax m3_fw.b02 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/m3_fw.b02)
  * Qualcomm Atheros IPQ6018 802.11ax m3_fw.flist firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/m3_fw.flist)
  * Qualcomm Atheros IPQ6018 802.11ax m3_fw.mdt firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/m3_fw.mdt)
  * Qualcomm Atheros IPQ6018 802.11ax q6_fw.b00 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/q6_fw.b00)
  * Qualcomm Atheros IPQ6018 802.11ax q6_fw.b01 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/q6_fw.b01)
  * Qualcomm Atheros IPQ6018 802.11ax q6_fw.b02 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/q6_fw.b02)
  * Qualcomm Atheros IPQ6018 802.11ax q6_fw.b03 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/q6_fw.b03)
  * Qualcomm Atheros IPQ6018 802.11ax q6_fw.b04 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/q6_fw.b04)
  * Qualcomm Atheros IPQ6018 802.11ax q6_fw.b05 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/q6_fw.b05)
  * Qualcomm Atheros IPQ6018 802.11ax q6_fw.b07 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/q6_fw.b07)
  * Qualcomm Atheros IPQ6018 802.11ax q6_fw.b08 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/q6_fw.b08)
  * Qualcomm Atheros IPQ6018 802.11ax q6_fw.flist firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/q6_fw.flist)
  * Qualcomm Atheros IPQ6018 802.11ax q6_fw.mdt firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ6018/hw1.0/q6_fw.mdt)
  * Qualcomm Atheros IPQ8074 board firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/board-2.bin)
  * Qualcomm Atheros IPQ8074 m3_fw.b00 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/m3_fw.b00)
  * Qualcomm Atheros IPQ8074 m3_fw.b01 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/m3_fw.b01)
  * Qualcomm Atheros IPQ8074 m3_fw.b02 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/m3_fw.b02)
  * Qualcomm Atheros IPQ8074 m3_fw.flist firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/m3_fw.flist)
  * Qualcomm Atheros IPQ8074 m3_fw.mdt firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/m3_fw.mdt)
  * Qualcomm Atheros IPQ8074 q6_fw.b00 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/q6_fw.b00)
  * Qualcomm Atheros IPQ8074 q6_fw.b01 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/q6_fw.b01)
  * Qualcomm Atheros IPQ8074 q6_fw.b02 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/q6_fw.b02)
  * Qualcomm Atheros IPQ8074 q6_fw.b03 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/q6_fw.b03)
  * Qualcomm Atheros IPQ8074 q6_fw.b04 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/q6_fw.b04)
  * Qualcomm Atheros IPQ8074 q6_fw.b05 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/q6_fw.b05)
  * Qualcomm Atheros IPQ8074 q6_fw.b07 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/q6_fw.b07)
  * Qualcomm Atheros IPQ8074 q6_fw.b08 firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/q6_fw.b08)
  * Qualcomm Atheros IPQ8074 q6_fw.list firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/q6_fw.flist)
  * Qualcomm Atheros IPQ8074 q6_fw.mdt firmware, version
    WLAN.HK.2.1.0.1-01238-QCAHKSWPL_SILICONZ-2
    (ath11k/IPQ8074/hw2.0/q6_fw.mdt)
  * Qualcomm Atheros QCA6390 board-2 firmware, version
    WLAN.HST.1.0.1-01740-QCAHSTSWPLZ_V2_TO_X86-1
    (ath11k/QCA6390/hw2.0/board-2.bin)
  * Qualcomm Atheros QCA6390 amss firmware, version
    WLAN.HST.1.0.1-01740-QCAHSTSWPLZ_V2_TO_X86-1
    (ath11k/QCA6390/hw2.0/amss.bin)
  * Qualcomm Atheros QCA6390 m3 firmware, version
    WLAN.HST.1.0.1-01740-QCAHSTSWPLZ_V2_TO_X86-1
    (ath11k/QCA6390/hw2.0/m3.bin)
  * Atheros AR3011 firmware (ath3k-1.fw)
  * ath6k/AR6003.1/hw2.1.1/athwlan.bin
  * ath6k/AR6003.1/hw2.1.1/bdata.SD31.bin
  * ath6k/AR6003.1/hw2.1.1/bdata.SD32.bin
  * ath6k/AR6003.1/hw2.1.1/bdata.WB31.bin
  * ath6k/AR6003.1/hw2.1.1/data.patch.bin
  * ath6k/AR6003.1/hw2.1.1/endpointping.bin
  * ath6k/AR6003.1/hw2.1.1/otp.bin
  * ath6k/AR6003/hw1.0/athwlan.bin.z77
  * ath6k/AR6003/hw1.0/bdata.SD31.bin
  * ath6k/AR6003/hw1.0/bdata.SD32.bin
  * ath6k/AR6003/hw1.0/bdata.WB31.bin
  * ath6k/AR6003/hw1.0/data.patch.bin
  * ath6k/AR6003/hw1.0/otp.bin.z77
  * ath6k/AR6003/hw2.0/athwlan.bin.z77
  * ath6k/AR6003/hw2.0/bdata.SD31.bin
  * ath6k/AR6003/hw2.0/bdata.SD32.bin
  * ath6k/AR6003/hw2.0/bdata.WB31.bin
  * ath6k/AR6003/hw2.0/data.patch.bin
  * ath6k/AR6003/hw2.0/otp.bin.z77
  * ath6k/AR6003/hw2.1.1/athwlan.bin
  * ath6k/AR6003/hw2.1.1/bdata.SD31.bin
  * ath6k/AR6003/hw2.1.1/bdata.SD32.bin
  * ath6k/AR6003/hw2.1.1/bdata.WB31.bin
  * ath6k/AR6003/hw2.1.1/data.patch.bin
  * ath6k/AR6003/hw2.1.1/endpointping.bin
  * ath6k/AR6003/hw2.1.1/fw-2.bin
  * ath6k/AR6003/hw2.1.1/fw-3.bin
  * ath6k/AR6003/hw2.1.1/otp.bin
  * ath6k/AR6004/hw1.2/bdata.bin
  * ath6k/AR6004/hw1.2/fw-2.bin
  * ath6k/AR6004/hw1.3/bdata.bin
  * ath6k/AR6004/hw1.3/fw-3.bin
  * Atheros AR7010 firmware, version 1.4.0 (ath9k_htc/htc_7010-1.4.0.fw)
  * Atheros AR9271 firmware, version 1.4.0 (ath9k_htc/htc_9271-1.4.0.fw)
  * Atheros AR7010 firmware, version 1.3.1 (htc_7010.fw)
  * Atheros AR9271 firmware, version 1.3.1 (htc_9271.fw)
  * Qualcomm WCN3990 Bluetooth firmware (qca/crbtfw21.tlv)
  * Qualcomm WCN3991 RAM FW (qca/crbtfw32.tlv)
  * Qualcomm WCN3990 Bluetooth NVM configuration (qca/crnv21.bin)
  * Qualcomm WCN3991 Bluetooth NVM configuration (qca/crnv32.bin)
  * Qualcomm WCN3991 Bluetooth NVM configuration (qca/crnv32u.bin)
  * Qualcomm QCA6390 Bluetooth HTBFW20 firmware, version v2.0.0-00874
    (qca/htbtfw20.tlv)
  * Qualcomm QCA6390 Bluetooth HTNV20 firmware, version v2.0.0-00874
    (qca/htnv20.bin)
  * Qualcomm Atheros QCA61x4 version 3.0 UART BT NVM configuration
    (qca/nvm_00130300.bin)
  * Qualcomm Atheros QCA61x4 version 3.2 UART BT NVM configuration
    (qca/nvm_00130302.bin)
  * Qualcomm Atheros QCA9377 Bluetooth firmware (qca/nvm_00230302.bin)
  * Qualcomm Atheros QCA6174 BT NVM configuration (qca/nvm_00440302.bin)
  * Qualcomm Atheros QCA6174 BT NVM firmware (qca/nvm_00440302_eu.bin)
  * Qualcomm Atheros QCA6174 BT NVM firmware
    (qca/nvm_00440302_i2s_eu.bin)
  * Qualcomm Atheros QCA61x4 version 2.0 USB BT NVM configuration
    (qca/nvm_usb_00000200.bin)
  * Qualcomm Atheros QCA61x4 version 2.1 USB BT NVM configuration
    (qca/nvm_usb_00000201.bin)
  * Qualcomm Atheros QCA61x4 version 3.0 USB BT NVM configuration
    (qca/nvm_usb_00000300.bin)
  * Qualcomm Atheros QCA61x4 version 3.2 USB BT NVM configuration
    (qca/nvm_usb_00000302.bin)
  * Qualcomm Atheros QCA6174 firmware (qca/nvm_usb_00000302_eu.bin)
  * Qualcomm Atheros QCA61x4 version 3.0 UART BT rampatch
    (qca/rampatch_00130300.bin)
  * Qualcomm Atheros QCA61x4 version 3.2 UART BT rampatch
    (qca/rampatch_00130302.bin)
  * Qualcomm QCA9377 BT rampatch (qca/rampatch_00230302.bin)
  * Qualcomm Atheros QCA6174 BT rampatch (qca/rampatch_00440302.bin)
  * Qualcomm Atheros QCA61x4 version 2.0 USB BT rampatch
    (qca/rampatch_usb_00000200.bin)
  * Qualcomm Atheros QCA61x4 version 2.1 USB BT rampatch
    (qca/rampatch_usb_00000201.bin)
  * Qualcomm Atheros QCA61x4 version 3.0 USB BT rampatch
    (qca/rampatch_usb_00000300.bin)
  * Qualcomm Atheros QCA61x4 version 3.2 USB BT rampatch
    (qca/rampatch_usb_00000302.bin)
  * Qualcomm Atheros Wil62x0 default board parameters, version 5.2.0.18
    (wil6210.brd)
  * Qualcomm Atheros Wil62x0 firmware, version 5.2.0.18 (wil6210.fw)

Package: firmware-bnx2
Description-md5: 393d5097727a60a8a93f887cb61d54c2
Description-en: Binary firmware for Broadcom NetXtremeII
 This package contains the binary firmware for Broadcom NetXtremeII network
 adapters supported by the bnx2 driver.
 .
 Contents:
  * bnx2/bnx2-rv2p-06-6.0.15.fw
  * Broadcom NetXtremeII 5709/5716 firmware (rv2p), version Linux 2.6.37
    (bnx2/bnx2-rv2p-09-6.0.17.fw)
  * Broadcom NetXtremeII 5709 A0/A1 firmware (rv2p), version Linux
    2.6.37 (bnx2/bnx2-rv2p-09ax-6.0.17.fw)
  * Broadcom NetXtremeII 5706/5708 firmware (mips), version Linux 2.6.38
    (bnx2/bnx2-mips-06-6.2.1.fw)
  * Broadcom NetXtremeII 5706/5708 firmware (mips), version Linux 3.3
    (bnx2/bnx2-mips-06-6.2.3.fw)
  * Broadcom NetXtremeII 5709/5716 firmware (mips), version Linux 2.6.39
    (bnx2/bnx2-mips-09-6.2.1a.fw)
  * Broadcom NetXtremeII 5709/5716 firmware (mips), version Linux 3.3
    (bnx2/bnx2-mips-09-6.2.1b.fw)

Package: firmware-bnx2x
Description-md5: b2bb77bb1bd4f1d32f0993ae74fee692
Description-en: Binary firmware for Broadcom NetXtreme II 10Gb
 This package contains the binary firmware for Broadcom NetXtreme II 10Gb
 network adapters supported by the bnx2x driver.
 .
 Contents:
  * Broadcom NetXtreme II 10Gb 57710, version 7.0.29.0
    (bnx2x/bnx2x-e1-7.0.29.0.fw)
  * Broadcom NetXtreme II 10Gb 57711, version 7.0.29.0
    (bnx2x/bnx2x-e2-7.0.29.0.fw)
  * Broadcom NetXtreme II 10Gb 57712, version 7.0.29.0
    (bnx2x/bnx2x-e1h-7.0.29.0.fw)
  * Broadcom NetXtreme II 10Gb 57710, version 7.8.19.0
    (bnx2x/bnx2x-e1-7.8.19.0.fw)
  * Broadcom NetXtreme II 10Gb 57711, version 7.8.19.0
    (bnx2x/bnx2x-e2-7.8.19.0.fw)
  * Broadcom NetXtreme II 10Gb 57712, version 7.8.19.0
    (bnx2x/bnx2x-e1h-7.8.19.0.fw)
  * Broadcom NetXtreme II 10Gb 57710, version 7.10.51.0
    (bnx2x/bnx2x-e1-7.10.51.0.fw)
  * Broadcom NetXtreme II 10Gb 57711, version 7.10.51.0
    (bnx2x/bnx2x-e2-7.10.51.0.fw)
  * Broadcom NetXtreme II 10Gb 57712, version 7.10.51.0
    (bnx2x/bnx2x-e1h-7.10.51.0.fw)
  * Broadcom NetXtreme II 10Gb 57710, version 7.12.30.0
    (bnx2x/bnx2x-e1-7.12.30.0.fw)
  * Broadcom NetXtreme II 10Gb 57712, version 7.12.30.0
    (bnx2x/bnx2x-e1h-7.12.30.0.fw)
  * Broadcom NetXtreme II 10Gb 57711, version 7.12.30.0
    (bnx2x/bnx2x-e2-7.12.30.0.fw)
  * Broadcom NetXtreme II 10Gb 57710, version 7.13.1.0
    (bnx2x/bnx2x-e1-7.13.1.0.fw)
  * Broadcom NetXtreme II 10Gb 57711, version 7.13.1.0
    (bnx2x/bnx2x-e1h-7.13.1.0.fw)
  * Broadcom NetXtreme II 10Gb 57712, version 7.13.1.0
    (bnx2x/bnx2x-e2-7.13.1.0.fw)
  * Broadcom NetXtreme II 10Gb 57710, version 7.13.15.0
    (bnx2x/bnx2x-e1-7.13.15.0.fw)
  * Broadcom NetXtreme II 10Gb 57711, version 7.13.15.0
    (bnx2x/bnx2x-e1h-7.13.15.0.fw)
  * Broadcom NetXtreme II 10Gb 57712, version 7.13.15.0
    (bnx2x/bnx2x-e2-7.13.15.0.fw)

Package: firmware-brcm80211
Description-md5: d9857c4ed96e29bec92831c50327f81f
Description-en: Binary firmware for Broadcom/Cypress 802.11 wireless cards
 This package contains the binary firmware for wireless network cards
 supported by the brcmsmac or brcmfmac driver.
 .
 Contents:
  * Broadcom 802.11 firmware, version 610.812 (brcm/bcm43xx-0.fw)
  * Broadcom 802.11 firmware header, version 610.812
    (brcm/bcm43xx_hdr-0.fw)
  * Broadcom BCM43143 USB firmware (brcm/brcmfmac43143.bin)
  * Broadcom BCM43143 SDIO firmware (brcm/brcmfmac43143-sdio.bin)
  * Broadcom BCM43236 firmware (brcm/brcmfmac43236b.bin)
  * Broadcom BCM43241 rev 0-3 firmware (brcm/brcmfmac43241b0-sdio.bin)
  * Broadcom BCM43241 rev 4 firmware (brcm/brcmfmac43241b4-sdio.bin)
  * Broadcom BCM43241 rev 5+ firmware (brcm/brcmfmac43241b5-sdio.bin)
  * Broadcom BCM43242 firmware (brcm/brcmfmac43242a.bin)
  * Broadcom BCM4329 firmware (brcm/brcmfmac4329-sdio.bin)
  * Broadcom BCM4330 firmware (brcm/brcmfmac4330-sdio.bin)
  * Broadcom BCM4330 Prowise PT301 tablet NVRAM
    (brcm/brcmfmac4330-sdio.Prowise-PT301.txt)
  * Broadcom BCM43340 Meegopad T08 HDMI stick NVRAM
    (brcm/brcmfmac43340-sdio.meegopad-t08.txt)
  * Broadcom BCM43340 PoV TAB-P1006W-232 tablet NVRAM
    (brcm/brcmfmac43340-sdio.pov-tab-p1006w-data.txt)
  * Broadcom BCM4334 firmware (brcm/brcmfmac4334-sdio.bin)
  * brcm/brcmfmac4335-sdio.bin
  * Cubietech Cubietruck Ampak AP6210 Wifi/BT NVRAM
    (brcm/brcmfmac43362-sdio.cubietech,cubietruck.txt,
    brcm/brcmfmac43362-sdio.lemaker,bananapro.txt)
  * Jumper EZpad mini 3 tablet AP6210 Wifi/BT NVRAM
    (brcm/brcmfmac43430a0-sdio.jumper-ezpad-mini3.txt)
  * Broadcom BCM43430 rev 0 firmware (brcm/brcmfmac43430a0-sdio.bin)
  * brcm/brcmfmac43430-sdio.AP6212.txt,
    brcm/brcmfmac43430-sdio.sinovoip,bpi-m2-plus.txt,
    brcm/brcmfmac43430-sdio.sinovoip,bpi-m2-ultra.txt,
    brcm/brcmfmac43430-sdio.sinovoip,bpi-m2-zero.txt,
    brcm/brcmfmac43430-sdio.sinovoip,bpi-m3.txt
  * Broadcom BCM43430 Chuwi Vi8 Plus tablet NVRAM
    (brcm/brcmfmac43430-sdio.Hampoo-D2D3_Vi8A1.txt)
  * Broadcom BCM43430 Murata 1DX NVRAM
    (brcm/brcmfmac43430-sdio.MUR1DX.txt)
  * BCM43430 NVRAM for the Raspberry Pi 3 B
    (brcm/brcmfmac43430-sdio.raspberrypi,3-model-b.txt)
  * BCM43455 NVRAM for the Raspberry Pi 3 B+
    (brcm/brcmfmac43455-sdio.raspberrypi,3-model-b-plus.txt,
    brcm/brcmfmac43455-sdio.raspberrypi,3-model-a-plus.txt)
  * BCM43455 NVRAM for the Raspberry Pi 4 B
    (brcm/brcmfmac43455-sdio.raspberrypi,4-model-b.txt)
  * Broadcom BCM4350 rev 5+ firmware (brcm/brcmfmac4350c2-pcie.bin)
  * Broadcom BCM4350 rev 0-4 firmware (brcm/brcmfmac4350-pcie.bin)
  * Broadcom BCM43569 firmware (brcm/brcmfmac43569.bin)
  * Broadcom BCM4356-PCIe NVRAM for GPD Pocket and Win
    (brcm/brcmfmac4356-pcie.gpd-win-pocket.txt)
  * Rock960 Cypress 4356 WiFi (brcm/brcmfmac4356-sdio.vamrs,rock960.txt)
  * Broadcom BCM4358 firmware (brcm/brcmfmac4358-pcie.bin)
  * Broadcom BCM43602 AP-mode firmware (brcm/brcmfmac43602-pcie.ap.bin)
  * Broadcom BCM43602 firmware (brcm/brcmfmac43602-pcie.bin)
  * Broadcom BCM4366 firmware (brcm/brcmfmac4366b-pcie.bin)
  * Broadcom BCM4366 3x3 802.11 ac firmware
    (brcm/brcmfmac4366c-pcie.bin)
  * Broadcom BCM4371 firmware (brcm/brcmfmac4371-pcie.bin)
  * Cypress CYW4373-USB firmware (brcm/brcmfmac4373.bin)
  * Cypress CYW43012-SDIO firmware (cypress/cyfmac43012-sdio.bin,
    brcm/brcmfmac43012-sdio.bin)
  * Cypress CYW43012-SDIO CLM firmware
    (cypress/cyfmac43012-sdio.clm_blob,
    brcm/brcmfmac43012-sdio.clm_blob)
  * Cypress CYW43340-SDIO firmware (cypress/cyfmac43340-sdio.bin,
    brcm/brcmfmac43340-sdio.bin)
  * Cypress CYW43362-SDIO firmware (cypress/cyfmac43362-sdio.bin,
    brcm/brcmfmac43362-sdio.bin)
  * Cypress CYW4339-SDIO firmware (cypress/cyfmac4339-sdio.bin,
    brcm/brcmfmac4339-sdio.bin)
  * Cypress CYW43430-SDIO firmware (cypress/cyfmac43430-sdio.bin,
    brcm/brcmfmac43430-sdio.bin)
  * Cypress CYW43430-SDIO CLM firmware
    (cypress/cyfmac43430-sdio.clm_blob,
    brcm/brcmfmac43430-sdio.clm_blob)
  * Cypress CYW43455-SDIO firmware (cypress/cyfmac43455-sdio.bin,
    brcm/brcmfmac43455-sdio.bin)
  * Cypress CYW43455-SDIO CLM firmware
    (cypress/cyfmac43455-sdio.clm_blob,
    brcm/brcmfmac43455-sdio.clm_blob)
  * Cypress CYW4354-SDIO firmware (cypress/cyfmac4354-sdio.bin,
    brcm/brcmfmac4354-sdio.bin)
  * Cypress CYW4354-SDIO CLM firmware (cypress/cyfmac4354-sdio.clm_blob,
    brcm/brcmfmac4354-sdio.clm_blob)
  * Cypress CYW4356-PCIE firmware (cypress/cyfmac4356-pcie.bin,
    brcm/brcmfmac4356-pcie.bin)
  * Cypress CYW4356-PCIE CLM firmware (cypress/cyfmac4356-pcie.clm_blob,
    brcm/brcmfmac4356-pcie.clm_blob)
  * Cypress CYW4356-SDIO firmware (cypress/cyfmac4356-sdio.bin,
    brcm/brcmfmac4356-sdio.bin)
  * Cypress CYW4356-SDIO CLM firmware (cypress/cyfmac4356-sdio.clm_blob,
    brcm/brcmfmac4356-sdio.clm_blob)
  * Cypress CYW43570-PCIE firmware (cypress/cyfmac43570-pcie.bin,
    brcm/brcmfmac43570-pcie.bin)
  * Cypress CYW43570-PCIE CLM firmware
    (cypress/cyfmac43570-pcie.clm_blob,
    brcm/brcmfmac43570-pcie.clm_blob)
  * Cypress CYW4373-SDIO firmware (cypress/cyfmac4373-sdio.bin,
    brcm/brcmfmac4373-sdio.bin)
  * Cypress CYW4373-SDIO CLM firmware (cypress/cyfmac4373-sdio.clm_blob,
    brcm/brcmfmac4373-sdio.clm_blob)
  * Cypress CYW54591-PCIE firmware (cypress/cyfmac54591-pcie.bin,
    brcm/brcmfmac54591-pcie.bin)
  * Cypress CYW54591-PCIE CLM firmware
    (cypress/cyfmac54591-pcie.clm_blob,
    brcm/brcmfmac54591-pcie.clm_blob)

Package: firmware-cavium
Description-md5: a7f632193008f8db81312e3415fcdbe2
Description-en: Binary firmware for Cavium Ethernet adapters
 This package contains the binary firmware for Cavium crypto and Ethernet
 adapters supported by the nitrox and liquidio drivers.
 .
 Contents:
  * Cavium CNN55XX asymmetric crypto firmware, version 01
    (cavium/cnn55xx_ae.fw)
  * Cavium CNN55XX symmetric crypto firmware, version 10
    (cavium/cnn55xx_se.fw)
  * Cavium LiquidIO 210Nv firmware, version 1.7.2
    (liquidio/lio_210nv_nic.bin)
  * Cavium LiquidIO 210Sv firmware, version 1.7.2
    (liquidio/lio_210sv_nic.bin)
  * Cavium LiquidIO 23xx firmware, version 1.7.2
    (liquidio/lio_23xx_nic.bin)
  * Cavium LiquidIO 410Nv firmware, version 1.7.2
    (liquidio/lio_410nv_nic.bin)

Package: firmware-intel-sound
Description-md5: bce191ba2354d29be650af90f9a5af73
Description-en: Binary firmware for Intel sound DSPs
 This package contains the binary firmware for Intel SST sound DSPs
 supported by the snd-soc-sst-acpi or snd-intel-sst-acpi driver.
 .
 Contents:
  * Intel "Broadwell" SST DSP firmware, version 8.4.1.77
    (intel/IntcSST2.bin)
  * Intel "Broxton" SST DSP firmware, version 9.22.01.3366_157
    (intel/dsp_fw_bxtn_v3366.bin, intel/dsp_fw_bxtn.bin)
  * Intel "Cannonlake" SST DSP firmware, version 10.00.00.1191
    (intel/dsp_fw_cnl_v1191.bin)
  * Intel "Cannonlake" SST DSP firmware, version 10.23.00.1858
    (intel/dsp_fw_cnl_v1858.bin, intel/dsp_fw_cnl.bin)
  * Intel "Geminilake" SST DSP firmware, version 9.22.01.3366_157
    (intel/dsp_fw_glk_v3366.bin, intel/dsp_fw_glk.bin)
  * Intel "Kabylake" SST DSP firmware, version 9.21.00.3402_161
    (intel/dsp_fw_kbl_v3402.bin, intel/dsp_fw_kbl.bin)
  * Intel "Kabylake" SST DSP firmware, version 9.21.00.3420_163
    (intel/dsp_fw_kbl_v3420.bin)
  * Intel "Skylake" SST DSP firmware, version 9.21.00.3402_161
    (intel/dsp_fw_release_v3402.bin, intel/dsp_fw_release.bin)
  * Intel "Bay Trail" SST DSP firmware
    (intel/fw_sst_0f28.bin-48kHz_i2s_master)
  * Intel "Bay Trail" SST DSP firmware, version 01.0C.00.01
    (intel/fw_sst_0f28.bin)
  * Intel "Bay Trail" SST DSP firmware, version 01.0C.00.01
    (intel/fw_sst_0f28_ssp0.bin)
  * Intel "Cherry Trail"/"Braswell" SST DSP firmware, version
    01.0B.02.02 (intel/fw_sst_22a8.bin)

Package: firmware-intelwimax
Description-md5: d29bb7f1db1004f28ccb7e5d46579859
Description-en: Binary firmware for Intel WiMAX Connection
 This package contains the binary firmware for Intel WiMAX Connection
 devices supported by the i2400m-usb driver.
 .
 Contents:
  * Intel WiMAX Connection 2400 USB firmware, version 1.4
    (i2400m-fw-usb-1.4.sbcf)
  * Intel WiMAX Connection 2400 USB firmware, version 1.5
    (i2400m-fw-usb-1.5.sbcf)
  * Intel WiMAX/WiFi Link 6050 USB firmware, version 1.5
    (i6050-fw-usb-1.5.sbcf)

Package: firmware-ipw2x00
Description-md5: 5449257b292d189e161ac03d7c964ead
Description-en: Binary firmware for Intel Pro Wireless 2100, 2200 and 2915
 This package contains the binary firmware for Intel Pro Wireless 2100,
 2200 and 2915 cards supported by the ipw2100 and ipw2200 drivers.
 .
 Contents:
  * Intel Pro Wireless 2100 firmware (bootstrap), version 1.3
    (ipw2100-1.3.fw)
  * Intel Pro Wireless 2100 firmware (ibss mode), version 1.3
    (ipw2100-1.3-i.fw)
  * Intel Pro Wireless 2100 firmware (monitor mode), version 1.3
    (ipw2100-1.3-p.fw)
  * Intel Pro Wireless 2200/2915 firmware (bss), version 3.1
    (ipw2200-bss.fw)
  * Intel Pro Wireless 2200/2915 firmware (ibss), version 3.1
    (ipw2200-ibss.fw)
  * Intel Pro Wireless 2200/2915 firmware (snf), version 3.1
    (ipw2200-sniffer.fw)
 .
 This firmware is covered by the Intel Pro Wireless 2100 and 2200/2915
 License.  You must agree to the terms of this license before it is
 installed.

Package: firmware-ivtv
Description-md5: e2035ca4f8f0e5d16f74a11516a7da88
Description-en: Binary firmware for iTVC15-family MPEG codecs (ivtv and pvrusb2 drivers)
 This package contains the binary firmware for TV cards with Conexant
 iTVC15-family MPEG codecs, supported by the ivtv and pvrusb2 drivers.
 .
 Contents:
  * Conexant CX23415/CX23416 MPEG codec (decoder) (v4l-cx2341x-dec.fw)
  * Conexant CX23415/CX23416 MPEG codec (encoder) (v4l-cx2341x-enc.fw)
  * Conexant CX23415/CX23416 MPEG codec (initialization)
    (v4l-cx2341x-init.mpg)
  * Hauppauge PVR USB2 24xxx models (v4l-pvrusb2-24xxx-01.fw)
  * Hauppauge PVR USB2 29xxx models (v4l-pvrusb2-29xxx-01.fw)
 .
 This firmware is covered by the Hauppauge End-User Firmware License
 Agreement.  You must agree to the terms of this license before it is
 installed.

Package: firmware-iwlwifi
Description-md5: 3111fd97c9aa6be8f63f534b158d74e0
Description-en: Binary firmware for Intel Wireless cards
 This package contains the binary firmware for Intel Wireless cards
 supported by the iwl3945, iwl4965, and iwlwifi drivers.
 .
 Contents:
  * Intel Wireless 8260 Bluetooth configuration, version 20.10.0.8
    (intel/ibt-11-5.ddc)
  * Intel Wireless 8260 Bluetooth firmware, version 20.100.0.3
    (intel/ibt-11-5.sfi)
  * Intel Wireless 8265 Bluetooth configuration, version 20.30.0.1
    (intel/ibt-12-16.ddc)
  * Intel Wireless 8265 Bluetooth firmware, version 21.10.0.6
    (intel/ibt-12-16.sfi)
  * Intel Wireless 9460/9650 (var 0 rev 1) Bluetooth configuration,
    version 20.10 (intel/ibt-17-0-1.ddc)
  * Intel Wireless 9460/9650 (var 0 rev 1) Bluetooth firmware, version
    20.30.0.1 (intel/ibt-17-0-1.sfi)
  * Intel Wireless 9460/9650 (var 16 rev 1) Bluetooth configuration,
    version 20.60.0.2 (intel/ibt-17-16-1.ddc)
  * Intel Wireless 9460/9650 (var 16 rev 1) Bluetooth firmware, version
    21.30.0.4 (intel/ibt-17-16-1.sfi)
  * Intel Wireless 9160/9260 (var 0 rev 1) Bluetooth configuration,
    version 20.10 (intel/ibt-18-0-1.ddc)
  * Intel Wireless 9160/9260 (var 0 rev 1) Bluetooth firmware, version
    20.30.0.1 (intel/ibt-18-0-1.sfi)
  * Intel Wireless 9160/9260 (var 16 rev 1) Bluetooth configuration,
    version 20.60.0.2 (intel/ibt-18-16-1.ddc)
  * Intel Wireless 9160/9260 (var 16 rev 1) Bluetooth firmware, version
    21.30.0.4 (intel/ibt-18-16-1.sfi)
  * Intel Bluetooth AX201 (var 0 rev 0) configuration, version 21.20.0.4
    (intel/ibt-19-0-0.ddc)
  * Intel Bluetooth AX201 (var 0 rev 0) firmware, version 21.20.0.4
    (intel/ibt-19-0-0.sfi)
  * Intel Bluetooth AX201 (var 0 rev 1) configuration, version 21.20.0.4
    (intel/ibt-19-0-1.ddc)
  * Intel Bluetooth AX201 (var 0 rev 1) firmware, version 21.20.0.4
    (intel/ibt-19-0-1.sfi)
  * Intel Bluetooth AX201 (var 0 rev 4) configuration, version 21.20.0.4
    (intel/ibt-19-0-4.ddc)
  * Intel Bluetooth AX201 (var 0 rev 4) firmware, version 21.20.0.4
    (intel/ibt-19-0-4.sfi)
  * Intel Bluetooth AX201 (var 16 rev 4) configuration, version
    21.20.0.4 (intel/ibt-19-16-4.ddc)
  * Intel Bluetooth AX201 (var 16 rev 4) firmware, version 21.20.0.4
    (intel/ibt-19-16-4.sfi)
  * Intel Bluetooth AX201 firmware, version 21.110.0.3
    (intel/ibt-19-240-1.ddc)
  * Intel Bluetooth AX201 firmware, version 21.110.0.3
    (intel/ibt-19-240-1.sfi)
  * Intel Bluetooth AX201 firmware, version 21.90.0.3
    (intel/ibt-19-240-4.ddc)
  * Intel Bluetooth AX201 firmware, version 21.90.0.3
    (intel/ibt-19-240-4.sfi)
  * Intel Bluetooth AX201 (var 32 rev 0) configuration
    (intel/ibt-19-32-0.ddc)
  * Intel Bluetooth AX201 (var 32 rev 0) firmware
    (intel/ibt-19-32-0.sfi)
  * Intel Bluetooth AX201 (var 32 rev 1) configuration, version
    21.20.0.4 (intel/ibt-19-32-1.ddc)
  * Intel Bluetooth AX201 (var 32 rev 1) firmware, version 21.20.0.4
    (intel/ibt-19-32-1.sfi)
  * Intel Bluetooth AX201 (var 32 rev 4) configuration, version
    21.90.0.3 (intel/ibt-19-32-4.ddc)
  * Intel Bluetooth AX201 (var 32 rev 4) firmware, version 21.90.0.3
    (intel/ibt-19-32-4.sfi)
  * Intel Wireless 22161 (var 0 rev 3) Bluetooth configuration, version
    21.0.0.4 (intel/ibt-20-0-3.ddc)
  * Intel Wireless 22161 (var 0 rev 3) Bluetooth firmware, version
    21.30.0.4 (intel/ibt-20-0-3.sfi)
  * Intel Wireless 22161 (var 1 rev 3) Bluetooth configuration, version
    21.0.0.4 (intel/ibt-20-1-3.ddc)
  * Intel Wireless 22161 (var 1 rev 3) Bluetooth firmware, version
    21.30.0.4 (intel/ibt-20-1-3.sfi)
  * Intel Wireless 22161 (var 1 rev 4) Bluetooth configuration
    (intel/ibt-20-1-4.ddc)
  * Intel Wireless 22161 (var 1 rev 4) Bluetooth firmware
    (intel/ibt-20-1-4.sfi)
  * Intel Wireless AX2100 Bluethooth configuration
    (intel/ibt-0041-0041.ddc)
  * Intel Wireless AX2100 Bluethooth firmware, version 22.20.0.3
    (intel/ibt-0041-0041.sfi)
  * Intel Wireless 3160 (B6) Bluetooth firmware patch, version 19.30
    (intel/ibt-hw-37.7.10-fw-1.0.1.2d.d.bseq)
  * Intel Wireless 3160 (B4) Bluetooth firmware patch, version 19.01
    (intel/ibt-hw-37.7.10-fw-1.0.2.3.d.bseq)
  * Intel Wireless 7260 (B5) Bluetooth firmware patch, version 20.60.0.2
    (intel/ibt-hw-37.7.10-fw-1.80.1.2d.d.bseq)
  * Intel Wireless 7260 (B3) Bluetooth firmware patch, version 20.60.0.2
    (intel/ibt-hw-37.7.10-fw-1.80.2.3.d.bseq)
  * Intel Wireless 7260 Bluetooth firmware generic patch
    (intel/ibt-hw-37.7.bseq)
  * Intel Wireless 7265 (C0) Bluetooth firmware patch, version 19.30
    (intel/ibt-hw-37.8.10-fw-1.10.2.27.d.bseq)
  * Intel Wireless 7265 (D0) Bluetooth firmware patch, version 20.60.0.2
    (intel/ibt-hw-37.8.10-fw-1.10.3.11.e.bseq)
  * Intel Wireless 7265 (D1) Bluetooth firmware patch, version 20.70.0.4
    (intel/ibt-hw-37.8.10-fw-22.50.19.14.f.bseq)
  * Intel Wireless 7265 Bluetooth firmware generic patch
    (intel/ibt-hw-37.8.bseq)
  * Intel Wireless 100 firmware, version 39.31.5.1 (iwlwifi-100-5.ucode)
  * Intel Wireless 105 firmware, version 18.168.6.1
    (iwlwifi-105-6.ucode)
  * Intel Wireless 135 firmware, version 18.168.6.1
    (iwlwifi-135-6.ucode)
  * Intel Wireless 1000 firmware, version 39.31.5.1
    (iwlwifi-1000-5.ucode)
  * Intel Wireless 2200 firmware, version 18.168.6.1
    (iwlwifi-2000-6.ucode)
  * Intel Wireless 2230 firmware, version 18.168.6.1
    (iwlwifi-2030-6.ucode)
  * Intel Wireless 3160 firmware, version 25.228.9.0
    (iwlwifi-3160-9.ucode)
  * Intel Wireless 3160 firmware, version 17.bfb58538.0
    (iwlwifi-3160-17.ucode)
  * Intel Wireless 3168 firmware, version 22.391740.0
    (iwlwifi-3168-22.ucode)
  * Intel Wireless 3168 firmware, version 29.0bd893f3.0
    (iwlwifi-3168-29.ucode)
  * Intel Wireless 3945 firmware, version 15.32.2.9
    (iwlwifi-3945-2.ucode)
  * Intel Wireless 4965 firmware, version 228.61.2.24
    (iwlwifi-4965-2.ucode)
  * Intel Wireless 5100, 5300 and 5350 firmware, version 8.83.5.1
    (iwlwifi-5000-5.ucode)
  * Intel Wireless 5150 firmware, version 8.24.2.2
    (iwlwifi-5150-2.ucode)
  * Intel Wireless 6000 firmware, version 9.221.4.1
    (iwlwifi-6000-4.ucode)
  * Intel Wireless 6005/6205 firmware, version 17.168.5.3
    (iwlwifi-6000g2a-5.ucode)
  * Intel Wireless 6005/6205 firmware, version 18.168.6.1
    (iwlwifi-6000g2a-6.ucode)
  * Intel Wireless 6030 firmware, version 18.168.6.1
    (iwlwifi-6000g2b-6.ucode)
  * Intel Wireless 6250 firmware, version 41.28.5.1
    (iwlwifi-6050-5.ucode)
  * Intel Wireless 7260 firmware, version 25.228.9.0
    (iwlwifi-7260-9.ucode)
  * Intel Wireless 7260 firmware, version 17.bfb58538.0
    (iwlwifi-7260-17.ucode)
  * Intel Wireless 7265 firmware, version 25.228.9.0
    (iwlwifi-7265-9.ucode)
  * Intel Wireless 7265 firmware, version 17.bfb58538.0
    (iwlwifi-7265-17.ucode)
  * Intel Wireless 7265D firmware, version 22.391740.0
    (iwlwifi-7265D-22.ucode)
  * Intel Wireless 7265D firmware, version 29.0bd893f3.0
    (iwlwifi-7265D-29.ucode)
  * Intel Wireless 8000C firmware, version 22.391740.0
    (iwlwifi-8000C-22.ucode)
  * Intel Wireless 8000C firmware, version 36.ad812ee0.0
    (iwlwifi-8000C-36.ucode)
  * Intel Wireless 8265 firmware, version 22.391740.0
    (iwlwifi-8265-22.ucode)
  * Intel Wireless 8265 firmware, version 36.ad812ee0.0
    (iwlwifi-8265-36.ucode)
  * Intel Wireless 9000 firmware, version 34.ba501b11.0
    (iwlwifi-9000-pu-b0-jf-b0-34.ucode)
  * Intel Wireless 9000 firmware, version 38.755cfdd8.0
    (iwlwifi-9000-pu-b0-jf-b0-38.ucode)
  * Intel Wireless 9000 firmware, version 41.fc1a7aea.0
    (iwlwifi-9000-pu-b0-jf-b0-41.ucode)
  * Intel Wireless 9000 firmware, version 43.95eb4e97
    (iwlwifi-9000-pu-b0-jf-b0-43.ucode)
  * Intel Wireless 9000 firmware, version 46.a41adfe7.0
    (iwlwifi-9000-pu-b0-jf-b0-46.ucode)
  * Intel Wireless 9260 firmware, version 34.ba501b11.0
    (iwlwifi-9260-th-b0-jf-b0-34.ucode)
  * Intel Wireless 9260 firmware, version 38.755cfdd8.0
    (iwlwifi-9260-th-b0-jf-b0-38.ucode)
  * Intel Wireless 9260 firmware, version 41.fc1a7aea.0
    (iwlwifi-9260-th-b0-jf-b0-41.ucode)
  * Intel Wireless 9260 firmware, version 43.95eb4e97
    (iwlwifi-9260-th-b0-jf-b0-43.ucode)
  * Intel Wireless 9260 firmware, version 46.4d093a30.0
    (iwlwifi-9260-th-b0-jf-b0-46.ucode)
  * Intel Wireless 22000 series (QU-B-HR-B) firmware, version
    48.13675109.0 (iwlwifi-Qu-b0-hr-b0-48.ucode)
  * Intel Wireless 22000 series (QU-B-HR-B) firmware, version
    50.3e391d3e.0 (iwlwifi-Qu-b0-hr-b0-50.ucode)
  * Intel Wireless 22000 series (QU-B-HR-B) firmware, version
    53.c31ac674.0 (iwlwifi-Qu-b0-hr-b0-53.ucode)
  * Intel Wireless 22000 series (QU-B-HR-B) firmware, version
    55.d9698065.0 (iwlwifi-Qu-b0-hr-b0-55.ucode)
  * Intel Wireless 22000 series (QU-B-HR-B) firmware, version
    59.601f3a66.0 (iwlwifi-Qu-b0-hr-b0-59.ucode)
  * Intel Wireless 22000 series (QU-B-HR-B) firmware, version
    62.49eeb572.0 (iwlwifi-Qu-b0-hr-b0-62.ucode)
  * Intel Wireless 22000 series (QU-B-JF-B) firmware, version
    48.13675109.0 (iwlwifi-Qu-b0-jf-b0-48.ucode)
  * Intel Wireless 22000 series (QU-B-JF-B) firmware, version
    50.3e391d3e.0 (iwlwifi-Qu-b0-jf-b0-50.ucode)
  * Intel Wireless 22000 series (QU-B-JF-B) firmware, version
    53.c31ac674.0 (iwlwifi-Qu-b0-jf-b0-53.ucode)
  * Intel Wireless 22000 series (QU-B-JF-B) firmware, version
    55.d9698065.0 (iwlwifi-Qu-b0-jf-b0-55.ucode)
  * Intel Wireless 22000 series (QU-B-JF-B) firmware, version
    59.601f3a66.0 (iwlwifi-Qu-b0-jf-b0-59.ucode)
  * Intel Wireless 22000 series (QU-B-JF-B) firmware, version
    62.49eeb572.0 (iwlwifi-Qu-b0-jf-b0-62.ucode)
  * Intel Wireless 22000 series (QU-C-HR-B) firmware, version
    48.13675109.0 (iwlwifi-Qu-c0-hr-b0-48.ucode)
  * Intel Wireless 22000 series (QU-C-HR-B) firmware, version
    50.3e391d3e.0 (iwlwifi-Qu-c0-hr-b0-50.ucode)
  * Intel Wireless 22000 series (QU-C-HR-B) firmware, version
    53.c31ac674.0 (iwlwifi-Qu-c0-hr-b0-53.ucode)
  * Intel Wireless 22000 series (QU-C-HR-B) firmware, version
    55.d9698065.0 (iwlwifi-Qu-c0-hr-b0-55.ucode)
  * Intel Wireless 22000 series (QU-C-HR-B) firmware, version
    59.601f3a66.0 (iwlwifi-Qu-c0-hr-b0-59.ucode)
  * Intel Wireless 22000 series (QU-C-HR-B) firmware, version
    62.49eeb572.0 (iwlwifi-Qu-c0-hr-b0-62.ucode)
  * Intel Wireless 22000 series (QU-C-JF-B) firmware, version
    48.13675109.0 (iwlwifi-Qu-c0-jf-b0-48.ucode)
  * Intel Wireless 22000 series (QU-C-JF-B) firmware, version
    50.3e391d3e.0 (iwlwifi-Qu-c0-jf-b0-50.ucode)
  * Intel Wireless 22000 series (QU-C-JF-B) firmware, version
    53.c31ac674.0 (iwlwifi-Qu-c0-jf-b0-53.ucode)
  * Intel Wireless 22000 series (QU-C-JF-B) firmware, version
    55.d9698065.0 (iwlwifi-Qu-c0-jf-b0-55.ucode)
  * Intel Wireless 22000 series (QU-C-JF-B) firmware, version
    59.601f3a66.0 (iwlwifi-Qu-c0-jf-b0-59.ucode)
  * Intel Wireless 22000 series (QU-C-JF-B) firmware, version
    62.49eeb572.0 (iwlwifi-Qu-c0-jf-b0-62.ucode)
  * Intel Wireless 22000 series (QUZ-A-HR-B) firmware, version
    48.13675109.0 (iwlwifi-QuZ-a0-hr-b0-48.ucode)
  * Intel Wireless 22000 series (QUZ-A-HR-B) firmware, version
    50.3e391d3e.0 (iwlwifi-QuZ-a0-hr-b0-50.ucode)
  * Intel Wireless 22000 series (QUZ-A-HR-B) firmware, version
    53.c31ac674.0 (iwlwifi-QuZ-a0-hr-b0-53.ucode)
  * Intel Wireless 22000 series (QUZ-A-HR-B) firmware, version
    55.d9698065.0 (iwlwifi-QuZ-a0-hr-b0-55.ucode)
  * Intel Wireless 22000 series (QUZ-A-HR-B) firmware, version
    59.601f3a66.0 (iwlwifi-QuZ-a0-hr-b0-59.ucode)
  * Intel Wireless 22000 series (QUZ-A-HR-B) firmware, version
    62.49eeb572.0 (iwlwifi-QuZ-a0-hr-b0-62.ucode)
  * Intel Wireless 22000 series (QUZ-A-JF-B) firmware, version
    48.13675109.0 (iwlwifi-QuZ-a0-jf-b0-48.ucode)
  * Intel Wireless 22000 series (QUZ-A-JF-B) firmware, version
    50.3e391d3e.0 (iwlwifi-QuZ-a0-jf-b0-50.ucode)
  * Intel Wireless 22000 series (QUZ-A-JF-B) firmware, version
    53.c31ac674.0 (iwlwifi-QuZ-a0-jf-b0-53.ucode)
  * Intel Wireless 22000 series (QUZ-A-JF-B) firmware, version
    55.d9698065.0 (iwlwifi-QuZ-a0-jf-b0-55.ucode)
  * Intel Wireless 22000 series (QUZ-A-JF-B) firmware, version
    59.601f3a66.0 (iwlwifi-QuZ-a0-jf-b0-59.ucode)
  * Intel Wireless 22000 series (QUZ-A-JF-B) firmware, version
    62.49eeb572.0 (iwlwifi-QuZ-a0-jf-b0-62.ucode)
  * Intel Wireless series (CC-A0) firmware, version 46.3cfab8da.0
    (iwlwifi-cc-a0-46.ucode)
  * Intel Wireless series (CC-A0) firmware, version 48.13675109.0
    (iwlwifi-cc-a0-48.ucode)
  * Intel Wireless series (CC-A0) firmware, version 50.3e391d3e.0
    (iwlwifi-cc-a0-50.ucode)
  * Intel Wireless series (CC-A0) firmware, version 53.c31ac674.0
    (iwlwifi-cc-a0-53.ucode)
  * Intel Wireless series (CC-A0) firmware, version 55.d9698065.0
    (iwlwifi-cc-a0-55.ucode)
  * Intel Wireless series (CC-A0) firmware, version 59.601f3a66.0
    (iwlwifi-cc-a0-59.ucode)
  * Intel Wireless series (CC-A0) firmware, version 62.49eeb572.0
    (iwlwifi-cc-a0-62.ucode)
  * Intel Wireless (TY-A0-GF-A0) firmware, version 59.601f3a66.0
    (iwlwifi-ty-a0-gf-a0-59.ucode)
  * Intel Wireless (TY-A0-GF-A0) firmware, version 62.49eeb572.0
    (iwlwifi-ty-a0-gf-a0-62.ucode)
  * Intel Wireless (TY-A0-GF-A0) PNVM firmware
    (iwlwifi-ty-a0-gf-a0.pnvm)

Package: firmware-libertas
Description-md5: 4da40a192994f0a3487226ee0ffe1a23
Description-en: Binary firmware for Marvell wireless cards
 This package contains the binary firmware for wireless network cards with
 Marvell and NXP 88W8xxx chips supported by the libertas_cs, libertas_sdio,
 libertas_spi, libertas_tf_usb, mwifiex_pcie, mwifiex_sdio, mwifiex_usb,
 mwl8k and usb8xxx drivers.
 .
 Contents:
  * Libertas 88W8388 'Thinfirm' firmware (lbtf_usb.bin)
  * Libertas 88W8381 main code (libertas/cf8381.bin)
  * Libertas 88W8381 boot code (libertas/cf8381_helper.bin)
  * Libertas 88W8385-CF main code (libertas/cf8385.bin, libertas_cs.fw)
  * Libertas 88W8385-CF boot code (libertas/cf8385_helper.bin,
    libertas_cs_helper.fw)
  * 88W8686-GSPI main code, version 9.x (libertas/gspi8686_v9.bin,
    libertas/gspi8686.bin)
  * 88W8686-GSPI boot code, version 9.x
    (libertas/gspi8686_v9_helper.bin, libertas/gspi8686_hlp.bin)
  * 88W8688-GSPI main code (libertas/gspi8688.bin)
  * 88W8688-GSPI boot code (libertas/gspi8688_helper.bin)
  * Libertas 88W8385-SDIO main code (libertas/sd8385.bin, sd8385.bin)
  * Libertas 88W8385-SDIO boot code (libertas/sd8385_helper.bin,
    sd8385_helper.bin)
  * 88W8686-SDIO main code, version 8.x (libertas/sd8686_v8.bin,
    sd8686.bin)
  * 88W8686-SDIO boot code, version 8.x (libertas/sd8686_v8_helper.bin,
    sd8686_helper.bin)
  * 88W8686-SDIO main code, version 9.70.20.p0 (libertas/sd8686_v9.bin)
  * 88W8686-SDIO boot code, version 9.x (libertas/sd8686_v9_helper.bin)
  * Libertas 88W8388 OLPC firmware, version 5.110.22.p23
    (libertas/usb8388_olpc.bin)
  * Libertas 88W8388 firmware, version 5.x (libertas/usb8388_v5.bin,
    usb8388.bin)
  * Libertas 88W8388 firmware, version 9.x (libertas/usb8388_v9.bin)
  * 88W8682 firmware (libertas/usb8682.bin)
  * Avastar 88W8897-PCIe firmware, version 15.68.19.p21 (WLAN) /
    15.28.19.p21 (BT) (mrvl/pcie8897_uapsta.bin)
  * Avastar 88W8997-PCIe firmware, version 16.68.1.p195
    (mrvl/pcie8997_wlan_v4.bin)
  * Avastar 88W8997-PCIe-UART firmware, version 16.68.1.p179 (WLAN) /
    16.26.1.p179 (BT) (mrvl/pcieuart8997_combo_v4.bin)
  * Avastar 88W8997-PCIe-USB firmware, version 16.68.1.p195 (WLAN) /
    16.26.1.p195 (BT) (mrvl/pcieusb8997_combo_v4.bin)
  * 88W8688-SDIO main code (mrvl/sd8688.bin, libertas/sd8688.bin,
    sd8688.bin)
  * 88W8688-SDIO boot code (mrvl/sd8688_helper.bin,
    libertas/sd8688_helper.bin, sd8688_helper.bin)
  * Avastar 88W8787 firmware, version 14.68.35.p66
    (mrvl/sd8787_uapsta.bin)
  * Avastar 88W8797-SDIO firmware, version 14.68.29.p59
    (mrvl/sd8797_uapsta.bin)
  * Avastar 88W8801-SDIO firmware, version 14.68.36.p204
    (mrvl/sd8801_uapsta.bin)
  * Avastar 88W8887 firmware, version 15.68.7.p189 (WLAN) / 15.26.7.p189
    (BT) (mrvl/sd8887_uapsta.bin)
  * Avastar 88W8897-SDIO firmware, version 15.68.19.17 (WLAN) /
    15.26.19.17 (BT) (mrvl/sd8897_uapsta.bin)
  * NXP 88W8977-SDIO firmware, version 16.68.1.p195 (WLAN) /
    16.26.1.p195 (BT) (mrvl/sdsd8977_combo_v2.bin)
  * NXP 88W8997-SDIO firmware, version 16.68.1.p179 (WLAN) /
    16.26.1.p179 (BT) (mrvl/sdsd8997_combo_v4.bin)
  * Avastar 88W8766 firmware, version 14.68.22.p16 (WLAN) / 14.28.22.p16
    (BT) (mrvl/usb8766_uapsta.bin)
  * Avastar 88W8797-USB firmware, version 14.68.29.p60
    (mrvl/usb8797_uapsta.bin)
  * Avastar 88W8801-USB firmware, version 14.68.36.p138
    (mrvl/usb8801_uapsta.bin)
  * Avastar 88W8897-USB firmware, version 15.68.4.p103 (WLAN) /
    15.28.4.p103 (BT) (mrvl/usb8897_uapsta.bin)
  * Avastar 88W8997-USB firmware, version 16.68.1.p183 (WLAN) /
    16.26.1.p183 (BT) (mrvl/usbusb8997_combo_v4.bin)
  * Prestera ASIC firmware (mrvl/prestera/mvsw_prestera_fw-v2.0.img)
  * TopDog 88W8366 main code (mwl8k/fmimage_8366.fw)
  * TopDog 88W8366 AP-mode main code (mwl8k/fmimage_8366_ap-2.fw)
  * TopDog 88W8366 AP-mode main code, version 5.2.8.16
    (mwl8k/fmimage_8366_ap-3.fw)
  * TopDog 88W8687 main code (mwl8k/fmimage_8687.fw)
  * TopDog 88W8764 AP-mode firmware, version 7.4.0.9
    (mwl8k/fmimage_8764_ap-1.fw)
  * TopDog 88W8366 boot code (mwl8k/helper_8366.fw)
  * TopDog 88W8687 boot code (mwl8k/helper_8687.fw)

Package: firmware-linux
Description-md5: 5de19f5665fffbb3fbe8d9daf675cc45
Description-en: Binary firmware for various drivers in the Linux kernel (metapackage)
 This package depends on both free and non-free firmware which may be used
 with drivers in the Linux kernel.

Package: firmware-linux-nonfree
Description-md5: 190010de9270c1c138816bd809d6c121
Description-en: Binary firmware for various drivers in the Linux kernel (metapackage)
 This package depends on non-free firmware which may be used with drivers
 in the Linux kernel.

Package: firmware-misc-nonfree
Description-md5: 36cfd7357110f3d9a1eb2d0f17c7ca5c
Description-en: Binary firmware for various drivers in the Linux kernel
 This package contains the binary firmware for  various drivers in the
 Linux kernel.  This is a collection of firmware blobs which are not
 individually large enough to warrant a standalone package.
 .
 Contents:
  * 3Com Typhoon firmware, version 03.001.008 (3com/typhoon.bin)
  * AdvanSys ASC-3550 firmware (advansys/3550.bin)
  * AdvanSys ASC-38C0800 firmware (advansys/38C0800.bin)
  * AdvanSys ASC-38C1600 firmware (advansys/38C1600.bin)
  * AdvanSys SCSI controller microcode (advansys/mcode.bin)
  * Agere/Prism/Symbol Orinoco firmware (AP mode), version 9.48 Hermes I
    (agere_ap_fw.bin)
  * Agere/Prism/Symbol Orinoco firmware (STA mode), version 9.48 Hermes
    I (agere_sta_fw.bin)
  * Abilis Systems AS102 stage 1 firmware (as102_data1_st.hex)
  * Abilis Systems AS102 stage 2 firmware (as102_data2_st.hex)
  * Broadcom/Cypress Bluetooth firmware (HTC Vive)
    (brcm/BCM-0bb4-0306.hcd, brcm/BCM-0a5c-6410.hcd)
  * Creative CA0132 DSP firmware (ctefx.bin)
  * Creative CA0132 SpeakerEQ firmware (ctspeq.bin)
  * Chelsio T3 optical EDC firmware (AEL2005 PHY)
    (cxgb3/ael2005_opt_edc.bin)
  * Chelsio T3 twinax EDC firmware (AEL2005 PHY)
    (cxgb3/ael2005_twx_edc.bin)
  * Chelsio T3 twinax EDC firmware (AEL2020 PHY)
    (cxgb3/ael2020_twx_edc.bin)
  * Chelsio T3B protocol engine firmware, version 1.1.0
    (cxgb3/t3b_psram-1.1.0.bin)
  * Chelsio T3C protocol engine firmware, version 1.1.0
    (cxgb3/t3c_psram-1.1.0.bin)
  * Chelsio T3 main firmware, version 7.4.0 (cxgb3/t3fw-7.4.0.bin)
  * Chelsio T3 main firmware, version 7.10.0 (cxgb3/t3fw-7.10.0.bin)
  * Chelsio T3 main firmware, version 7.12.0 (cxgb3/t3fw-7.12.0.bin)
  * Chelsio T4 10GBASE-T firmware (AQ1202 PHY) (cxgb4/aq1202_fw.cld)
  * Chelsio T4 10GBASE-T firmware (BCM84834 PHY) (cxgb4/bcm8483.bin)
  * cxgb4/t4fw-1.24.17.0.bin, cxgb4/t4fw.bin
  * cxgb4/t5fw-1.24.17.0.bin, cxgb4/t5fw.bin
  * cxgb4/t6fw-1.24.17.0.bin, cxgb4/t6fw.bin
  * Chelsio T4 config (cxgb4/configs/t4-config-default.txt,
    cxgb4/t4-config.txt)
  * Chelsio T5 config (cxgb4/configs/t5-config-default.txt,
    cxgb4/t5-config.txt)
  * Chelsio T6 config (cxgb4/configs/t6-config-default.txt,
    cxgb4/t6-config.txt)
  * Chelsio T5 hashfilter config
    (cxgb4/configs/t5-config-hashfilter.txt)
  * Chelsio T6 hashfilter config
    (cxgb4/configs/t6-config-hashfilter.txt)
  * DAB-USB FPGA bitfile (dabusb/bitstream.bin)
  * DAB-USB firmware (dabusb/firmware.fw)
  * Xceive 4000 tuner firmware, version 1.4.1 (dvb-fe-xc4000-1.4.1.fw)
  * Xceive 5000 tuner firmware, version 1.6.114
    (dvb-fe-xc5000-1.6.114.fw)
  * Xceive 5000c tuner firmware, version 4.1.30.7
    (dvb-fe-xc5000c-4.1.30.7.fw)
  * DiBcom dib0700 USB DVB bridge firmware, version 1.20
    (dvb-usb-dib0700-1.20.fw)
  * DiBcom dib9135 DVB-T USB firmware (dvb-usb-it9135-01.fw)
  * DiBcom dib9135 DVB-T USB firmware (dvb-usb-it9135-02.fw)
  * Terratec H5 DRX-K firmware (dvb-usb-terratec-h5-drxk.fw)
  * Intel 82559 D101M microcode (e100/d101m_ucode.bin)
  * Intel 82559 D101S microcode (e100/d101s_ucode.bin)
  * Intel 82551-F and 82551-10 microcode (e100/d102e_ucode.bin)
  * ENE UB6250 MS Pro read/write firmware (ene-ub6250/msp_rdwr.bin)
  * ENE UB6250 MS init firmware (ene-ub6250/ms_init.bin)
  * ENE UB6250 MS read/write firmware (ene-ub6250/ms_rdwr.bin)
  * ENE UB6250 SD init stage 1 firmware (ene-ub6250/sd_init1.bin)
  * ENE UB6250 SD init stage 2 firmware (ene-ub6250/sd_init2.bin)
  * ENE UB6250 SD read/write firmware (ene-ub6250/sd_rdwr.bin)
  * Sensoray 2255 firmware, version 1.2.8 (f2255usb.bin)
  * Micronas GO7007SB encoder stage 1 firmware (go7007/go7007fw.bin)
  * Micronas GO7007SB encoder stage 2 firmware (go7007/go7007tv.bin)
  * WISchip WinFast WalkieTV firmware (go7007/lr192.fw)
  * Plextor ConvertX M402U firmware (go7007/px-m402u.fw)
  * Plextor ConvertX TV402U firmware (go7007/px-tv402u.fw)
  * Sensoray S2250 stage 1 firmware (go7007/s2250-1.fw, s2250_loader.fw)
  * Sensoray S2250 stage 2 firmware (go7007/s2250-2.fw, s2250.fw)
  * WISchip WinFast WalkieTV firmware (go7007/wis-startrek.fw)
  * Intel OPA Gen1 DC firmware, version 1.27.0 (hfi1_dc8051.fw)
  * Intel OPA Gen1 fabric firmware, version 0x1055 (hfi1_fabric.fw)
  * Intel OPA Gen1 PCIe serdes firmware, version 0x4755 (hfi1_pcie.fw)
  * Intel OPA Gen1 SBus firmware, version 0x10130001 (hfi1_sbus.fw)
  * Freescale i.MX6 SDMA firmware, version 3.5 (imx/sdma/sdma-imx6q.bin)
  * Freescale i.MX7 SDMA firmware, version 4.5 (imx/sdma/sdma-imx7d.bin)
  * Intel "Adler Lake" DMC firmware, version 2.01
    (i915/adls_dmc_ver2_01.bin)
  * Intel "Broxton" DMC firmware, version 1.07
    (i915/bxt_dmc_ver1_07.bin, i915/bxt_dmc_ver1.bin)
  * Intel "Broxton" GuC firmware, version 32.0.3
    (i915/bxt_guc_32.0.3.bin)
  * Intel "Broxton" GuC firmware, version 33.0.0
    (i915/bxt_guc_33.0.0.bin)
  * Intel "Broxton" GuC firmware, version 49.0.1
    (i915/bxt_guc_49.0.1.bin)
  * Intel "Broxton" GuC firmware, version 8.7 (i915/bxt_guc_ver8_7.bin)
  * Intel "Broxton" GuC firmware, version 9.29
    (i915/bxt_guc_ver9_29.bin)
  * Intel "Broxton" HuC firmware, version 2.0.0 (i915/bxt_huc_2.0.0.bin)
  * Intel "Broxton" HuC firmware, version 1.07.1398
    (i915/bxt_huc_ver01_07_1398.bin)
  * Intel "Broxton" HuC firmware, version 1.8.2893
    (i915/bxt_huc_ver01_8_2893.bin)
  * Intel "Comet Lake" GuC firmware, version 33.0.0
    (i915/cml_guc_33.0.0.bin)
  * Intel "Comet Lake" GuC firmware, version 49.0.1
    (i915/cml_guc_49.0.1.bin)
  * Intel "Comet Lake" HuC firmware, version 4.0.0
    (i915/cml_huc_4.0.0.bin)
  * Intel "Cannonlake" DMC firmware, version 1.07
    (i915/cnl_dmc_ver1_07.bin)
  * i915/dg1_dmc_ver2_02.bin
  * Intel DG1 GUC firmware, version 49.0.1 (i915/dg1_guc_49.0.1.bin)
  * Intel DG1 HUC firmware, version 7.7.1 (i915/dg1_huc_7.7.1.bin)
  * Intel "Elkhart Lake" GuC firmware, version 33.0.4
    (i915/ehl_guc_33.0.4.bin)
  * Intel "Elkhart Lake" GuC firmware, version 49.0.1
    (i915/ehl_guc_49.0.1.bin)
  * Intel "Elkhart Lake" HuC firmware, version 9.0.0
    (i915/ehl_huc_9.0.0.bin)
  * Intel "Geminilake" DMC firmware, version 1.04
    (i915/glk_dmc_ver1_04.bin)
  * Intel "Geminilake" GuC firmware, version 32.0.3
    (i915/glk_guc_32.0.3.bin)
  * Intel "Geminilake" GuC firmware, version 33.0.0
    (i915/glk_guc_33.0.0.bin)
  * Intel "Geminilake" GuC firmware, version 49.0.1
    (i915/glk_guc_49.0.1.bin)
  * Intel "Geminilake" HuC firmware, version 4.0.0
    (i915/glk_huc_4.0.0.bin)
  * Intel "Geminilake" HuC firmware, version 3.1.2893
    (i915/glk_huc_ver03_01_2893.bin)
  * Intel "Icelake" DMC firmware, version 1.07
    (i915/icl_dmc_ver1_07.bin)
  * Intel "Icelake" DMC firmware, version 1.09
    (i915/icl_dmc_ver1_09.bin)
  * Intel "Icelake" GuC firmware, version 32.0.3
    (i915/icl_guc_32.0.3.bin)
  * Intel "Icelake" GuC firmware, version 33.0.0
    (i915/icl_guc_33.0.0.bin)
  * Intel "Icelake" GuC firmware, version 49.0.1
    (i915/icl_guc_49.0.1.bin)
  * Intel "Icelake" HuC firmware, version 9.0.0 (i915/icl_huc_9.0.0.bin)
  * Intel "Icelake" HuC firmware, version 8.4.3238
    (i915/icl_huc_ver8_4_3238.bin)
  * Intel "Kabylake" DMC firmware, version 1.01
    (i915/kbl_dmc_ver1_01.bin, i915/kbl_dmc_ver1.bin)
  * Intel "Kabylake" DMC firmware, version 1.04
    (i915/kbl_dmc_ver1_04.bin)
  * Intel "Kabylake" GuC firmware, version 32.0.3
    (i915/kbl_guc_32.0.3.bin)
  * Intel "Kabylake" GuC firmware, version 33.0.0
    (i915/kbl_guc_33.0.0.bin)
  * Intel "Kabylake" GuC firmware, version 49.0.1
    (i915/kbl_guc_49.0.1.bin)
  * Intel "Kabylake" GuC firmware, version 9.14
    (i915/kbl_guc_ver9_14.bin)
  * Intel "Kabylake" GuC firmware, version 9.39
    (i915/kbl_guc_ver9_39.bin)
  * Intel "Kabylake" HuC firmware, version 4.0.0
    (i915/kbl_huc_4.0.0.bin)
  * Intel "Kabylake" HuC firmware, version 2.0.1810
    (i915/kbl_huc_ver02_00_1810.bin)
  * Intel "Rocketlake" DMC firmware, version 2.02
    (i915/rkl_dmc_ver2_02.bin)
  * Intel "Skylake" DMC firmware, version 1.23
    (i915/skl_dmc_ver1_23.bin)
  * Intel "Skylake" DMC firmware, version 1.26
    (i915/skl_dmc_ver1_26.bin, i915/skl_dmc_ver1.bin)
  * Intel "Skylake" DMC firmware, version 1.27
    (i915/skl_dmc_ver1_27.bin)
  * Intel "Skylake" GuC firmware, version 32.0.3
    (i915/skl_guc_32.0.3.bin)
  * Intel "Skylake" GuC firmware, version 33.0.0
    (i915/skl_guc_33.0.0.bin)
  * i915/skl_guc_49.0.1.bin
  * Intel "Skylake" GuC firmware, version 1.1059 (i915/skl_guc_ver1.bin)
  * Intel "Skylake" GuC firmware, version 4.3 (i915/skl_guc_ver4.bin)
  * Intel "Skylake" GuC firmware, version 6.1 (i915/skl_guc_ver6_1.bin,
    i915/skl_guc_ver6.bin)
  * Intel "Skylake" GuC firmware, version 9.33
    (i915/skl_guc_ver9_33.bin)
  * Intel "Skylake" HuC firmware, version 3.0.0 (i915/skl_huc_2.0.0.bin)
  * Intel "Skylake" HuC firmware, version 1.07.1398
    (i915/skl_huc_ver01_07_1398.bin)
  * Intel "Tiger Lake" DMC firmware, version 2.04
    (i915/tgl_dmc_ver2_04.bin)
  * Intel "Tiger Lake" DMC firmware, version 2.06
    (i915/tgl_dmc_ver2_06.bin)
  * Intel "Tiger Lake" DMC firmware, version 2.08
    (i915/tgl_dmc_ver2_08.bin)
  * Intel "Tiger Lake" GuC firmware, version 35.2.0
    (i915/tgl_guc_35.2.0.bin)
  * Intel "Tiger Lake" GuC firmware, version 49.0.1
    (i915/tgl_guc_49.0.1.bin)
  * Intel "Tiger Lake" HuC firmware, version 7.0.12
    (i915/tgl_huc_7.0.12.bin)
  * Intel "Tiger Lake" HuC firmware, version 7.0.3
    (i915/tgl_huc_7.0.3.bin)
  * Intel "Tiger Lake" HuC firmware, version 7.5.0
    (i915/tgl_huc_7.5.0.bin)
  * Intel "Kabylake" IPU3 firmware, version 20161208_0213_20170112_1500
    (intel/irci_irci_ecr-master_20161208_0213_20170112_1500.bin)
  * Intel E800 comms package, version 1.3.20
    (intel/ice/ddp-comms/ice_comms-1.3.20.0.pkg)
  * Intel E800 ice driver, version 1.3.16
    (intel/ice/ddp/ice-1.3.16.0.pkg, intel/ice/ddp/ice.pkg)
  * kaweth/new_code.bin
  * kaweth/new_code_fix.bin
  * kaweth/trigger_code.bin
  * kaweth/trigger_code_fix.bin
  * Lontium LT9611UXC DSI to HDMI bridge firmware, version 0x43
    (lt9611uxc_fw.bin)
  * Matrox G200 WARP engine microcode (matrox/g200_warp.fw)
  * Matrox G400/G550 WARP engine microcode (matrox/g400_warp.fw)
  * MediaTek MT7961 bluetooth firmware, version 20210223142901
    (mediatek/BT_RAM_CODE_MT7961_1_2_hdr.bin)
  * MediaTek MT76x0 wifi firmware (mediatek/mt7610e.bin)
  * MediaTek MT76x0 wifi firmware (mediatek/mt7610u.bin)
  * MediaTek MT7615 cr4 firmware (mediatek/mt7615_cr4.bin)
  * MediaTek MT7615 n9 firmware (mediatek/mt7615_n9.bin)
  * MediaTek MT7615 rom firmware (mediatek/mt7615_rom_patch.bin)
  * MediaTek MT7622 Bluetooth firmware (mediatek/mt7622pr2h.bin)
  * MediaTek MT76x0 wifi firmware (mediatek/mt7650e.bin)
  * MediaTek MT7622 N9 firmware (mediatek/mt7622_n9.bin)
  * MediaTek MT7622 rom firmware (mediatek/mt7622_rom_patch.bin)
  * MediaTek MT76x2u wifi firmware (mediatek/mt7662u.bin)
  * MediaTek MT76x2u wifi firmware (mediatek/mt7662u_rom_patch.bin)
  * MediaTek MT7663 firmware (mediatek/mt7663pr2h.bin)
  * MediaTek MT7663 rebb rom firmware (mediatek/mt7663pr2h_rebb.bin)
  * MediaTek MT7663 rebb n9 firmware (mediatek/mt7663_n9_rebb.bin)
  * MediaTek MT7663 n9 v3 firmware (mediatek/mt7663_n9_v3.bin)
  * MediaTek MT7668 Bluetooth firmware (mediatek/mt7668pr2h.bin)
  * MediaTek MT7915E firmware (mediatek/mt7915_wm.bin)
  * MediaTek MT7915E firmware (mediatek/mt7915_wa.bin)
  * MediaTek MT7915E firmware (mediatek/mt7915_rom_patch.bin)
  * MediaTek MT8173 VPU_D firmware, version 1.1.16
    (mediatek/mt8173/vpu_d.bin)
  * MediaTek MT8173 VPU_P firmware, version 1.1.16
    (mediatek/mt8173/vpu_p.bin)
  * MediaTek mt8183 SCP firmware, version v12573.77
    (mediatek/mt8183/scp.img)
  * MediaTek MT7921 hdr firmware, version 20210122002654a
    (mediatek/WIFI_MT7961_patch_mcu_1_2_hdr.bin)
  * MediaTek MT7921 firmware, version 20210122002730
    (mediatek/WIFI_RAM_CODE_MT7961_1.bin)
  * MOXA UPort 1110 firmware (moxa/moxa-1110.fw)
  * MOXA UPort 1130 firmware (moxa/moxa-1130.fw)
  * MOXA UPort 1130I firmware (moxa/moxa-1131.fw)
  * MOXA UPort 1150 firmware (moxa/moxa-1150.fw)
  * MOXA UPort 1150I firmware (moxa/moxa-1151.fw)
  * MOXA UPort 1250 firmware (moxa/moxa-1250.fw)
  * MOXA UPort 1250I firmware (moxa/moxa-1251.fw)
  * MOXA UPort 1410 firmware (moxa/moxa-1410.fw)
  * MOXA UPort 1450 firmware (moxa/moxa-1450.fw)
  * MOXA UPort 1450I firmware (moxa/moxa-1451.fw)
  * MOXA UPort 1610-16 firmware (moxa/moxa-1613.fw)
  * MOXA UPort 1610-8 firmware (moxa/moxa-1618.fw)
  * MOXA UPort 1650-16 firmware (moxa/moxa-1653.fw)
  * MOXA UPort 1650-8 firmware (moxa/moxa-1658.fw)
  * MediaTek MT7601U firmware, version 34 (mt7601u.bin)
  * MediaTek MT7630/MT7650 Bluetooth firmware (mt7650.bin)
  * MediaTek MT76x2 firmware, version 1.9 (mt7662.bin)
  * MediaTek MT76x2 ROM patch, version 0.0.2_P69 (mt7662_rom_patch.bin)
  * Multi-Tech USB CDMA modem firmware (mts_cdma.fw)
  * Multi-Tech USB EDGE modem firmware (mts_edge.fw)
  * Multi-Tech USB GPRS modem firmware (mts_gsm.fw)
  * Nvidia GK20A FECS firmware data (nvidia/gk20a/fecs_data.bin)
  * Nvidia GK20A FECS firmware instructions (nvidia/gk20a/fecs_inst.bin)
  * Nvidia GK20A GPCCS firmware data (nvidia/gk20a/gpccs_data.bin)
  * Nvidia GK20A GPCCS firmware instructions
    (nvidia/gk20a/gpccs_inst.bin)
  * Nvidia GK20A bundle init data (nvidia/gk20a/sw_bundle_init.bin)
  * Nvidia GK20A ctx init data (nvidia/gk20a/sw_ctx.bin)
  * Nvidia GK20A method init data (nvidia/gk20a/sw_method_init.bin)
  * Nvidia GK20A non-ctx init data (nvidia/gk20a/sw_nonctx.bin)
  * nvidia/gm200/acr/bl.bin, nvidia/gm204/acr/bl.bin,
    nvidia/gm206/acr/bl.bin
  * nvidia/gm200/acr/ucode_load.bin, nvidia/gm204/acr/ucode_load.bin
  * nvidia/gm200/acr/ucode_unload.bin, nvidia/gm204/acr/ucode_unload.bin
  * nvidia/gm200/gr/fecs_bl.bin, nvidia/gm204/gr/fecs_bl.bin,
    nvidia/gm206/gr/fecs_bl.bin, nvidia/gp100/gr/fecs_bl.bin,
    nvidia/gp102/gr/fecs_bl.bin
  * nvidia/gm200/gr/fecs_data.bin
  * nvidia/gm200/gr/fecs_inst.bin, nvidia/gm204/gr/fecs_inst.bin,
    nvidia/gm206/gr/fecs_inst.bin
  * nvidia/gm200/gr/fecs_sig.bin
  * nvidia/gm200/gr/gpccs_bl.bin, nvidia/gm204/gr/gpccs_bl.bin,
    nvidia/gm206/gr/gpccs_bl.bin, nvidia/gp100/gr/gpccs_bl.bin,
    nvidia/gp102/gr/gpccs_bl.bin
  * nvidia/gm200/gr/gpccs_data.bin
  * nvidia/gm200/gr/gpccs_inst.bin, nvidia/gm204/gr/gpccs_inst.bin,
    nvidia/gm206/gr/gpccs_inst.bin
  * nvidia/gm200/gr/gpccs_sig.bin
  * nvidia/gm200/gr/sw_bundle_init.bin,
    nvidia/gm204/gr/sw_bundle_init.bin,
    nvidia/gm206/gr/sw_bundle_init.bin
  * nvidia/gm200/gr/sw_ctx.bin, nvidia/gm204/gr/sw_ctx.bin,
    nvidia/gm206/gr/sw_ctx.bin
  * nvidia/gm200/gr/sw_method_init.bin,
    nvidia/gm204/gr/sw_method_init.bin,
    nvidia/gm206/gr/sw_method_init.bin,
    nvidia/gm20b/gr/sw_method_init.bin
  * nvidia/gm200/gr/sw_nonctx.bin, nvidia/gm204/gr/sw_nonctx.bin,
    nvidia/gm206/gr/sw_nonctx.bin
  * nvidia/gm204/gr/fecs_data.bin
  * nvidia/gm204/gr/fecs_sig.bin
  * nvidia/gm204/gr/gpccs_data.bin
  * nvidia/gm204/gr/gpccs_sig.bin
  * nvidia/gm206/acr/ucode_load.bin
  * nvidia/gm206/acr/ucode_unload.bin
  * nvidia/gm206/gr/fecs_data.bin
  * nvidia/gm206/gr/fecs_sig.bin
  * nvidia/gm206/gr/gpccs_data.bin
  * nvidia/gm206/gr/gpccs_sig.bin
  * nvidia/gm20b/acr/bl.bin
  * nvidia/gm20b/acr/ucode_load.bin
  * nvidia/gm20b/gr/fecs_bl.bin
  * nvidia/gm20b/gr/fecs_data.bin
  * nvidia/gm20b/gr/fecs_inst.bin
  * nvidia/gm20b/gr/fecs_sig.bin
  * nvidia/gm20b/gr/gpccs_data.bin
  * nvidia/gm20b/gr/gpccs_inst.bin
  * nvidia/gm20b/gr/sw_bundle_init.bin
  * nvidia/gm20b/gr/sw_ctx.bin
  * nvidia/gm20b/gr/sw_nonctx.bin
  * nvidia/gm20b/pmu/desc.bin
  * nvidia/gm20b/pmu/image.bin
  * nvidia/gm20b/pmu/sig.bin
  * nvidia/gp100/acr/bl.bin
  * nvidia/gp100/acr/ucode_load.bin
  * nvidia/gp100/acr/ucode_unload.bin
  * nvidia/gp100/gr/fecs_data.bin
  * nvidia/gp100/gr/fecs_inst.bin
  * nvidia/gp100/gr/fecs_sig.bin
  * nvidia/gp100/gr/gpccs_data.bin
  * nvidia/gp100/gr/gpccs_inst.bin
  * nvidia/gp100/gr/gpccs_sig.bin
  * nvidia/gp100/gr/sw_bundle_init.bin
  * nvidia/gp100/gr/sw_ctx.bin
  * nvidia/gp100/gr/sw_method_init.bin
  * nvidia/gp100/gr/sw_nonctx.bin
  * nvidia/gp102/acr/bl.bin, nvidia/gp104/acr/bl.bin,
    nvidia/gp106/acr/bl.bin, nvidia/gp107/acr/bl.bin,
    nvidia/gp108/acr/bl.bin
  * nvidia/gp102/acr/ucode_load.bin, nvidia/gp104/acr/ucode_load.bin,
    nvidia/gp106/acr/ucode_load.bin, nvidia/gp107/acr/ucode_load.bin,
    nvidia/gp108/acr/ucode_load.bin
  * nvidia/gp102/acr/ucode_unload.bin,
    nvidia/gp104/acr/ucode_unload.bin,
    nvidia/gp106/acr/ucode_unload.bin,
    nvidia/gp107/acr/ucode_unload.bin, nvidia/gp108/acr/ucode_unload.bin
  * nvidia/gp102/acr/unload_bl.bin, nvidia/gp104/acr/unload_bl.bin,
    nvidia/gp106/acr/unload_bl.bin, nvidia/gp107/acr/unload_bl.bin,
    nvidia/gp108/acr/unload_bl.bin
  * nvidia/gp102/gr/fecs_data.bin
  * nvidia/gp102/gr/fecs_inst.bin, nvidia/gp106/gr/fecs_inst.bin
  * nvidia/gp102/gr/fecs_sig.bin
  * nvidia/gp102/gr/gpccs_data.bin
  * nvidia/gp102/gr/gpccs_inst.bin, nvidia/gp106/gr/gpccs_inst.bin
  * nvidia/gp102/gr/gpccs_sig.bin
  * nvidia/gp102/gr/sw_bundle_init.bin,
    nvidia/gp104/gr/sw_bundle_init.bin,
    nvidia/gp106/gr/sw_bundle_init.bin,
    nvidia/gp107/gr/sw_bundle_init.bin
  * nvidia/gp102/gr/sw_ctx.bin, nvidia/gp104/gr/sw_ctx.bin,
    nvidia/gp106/gr/sw_ctx.bin
  * nvidia/gp102/gr/sw_method_init.bin,
    nvidia/gp104/gr/sw_method_init.bin,
    nvidia/gp106/gr/sw_method_init.bin,
    nvidia/gp107/gr/sw_method_init.bin
  * nvidia/gp102/gr/sw_nonctx.bin, nvidia/gp104/gr/sw_nonctx.bin,
    nvidia/gp106/gr/sw_nonctx.bin
  * nvidia/gp102/nvdec/scrubber.bin, nvidia/gp104/nvdec/scrubber.bin,
    nvidia/gp106/nvdec/scrubber.bin, nvidia/gp107/nvdec/scrubber.bin,
    nvidia/gp108/nvdec/scrubber.bin
  * nvidia/gp102/sec2/desc.bin, nvidia/gp104/sec2/desc.bin,
    nvidia/gp106/sec2/desc.bin, nvidia/gp107/sec2/desc.bin
  * nvidia/gp102/sec2/desc-1.bin, nvidia/gp104/sec2/desc-1.bin,
    nvidia/gp106/sec2/desc-1.bin, nvidia/gp107/sec2/desc-1.bin,
    nvidia/gp108/sec2/desc.bin
  * nvidia/gp102/sec2/image.bin, nvidia/gp104/sec2/image.bin,
    nvidia/gp106/sec2/image.bin, nvidia/gp107/sec2/image.bin
  * nvidia/gp102/sec2/image-1.bin, nvidia/gp104/sec2/image-1.bin,
    nvidia/gp106/sec2/image-1.bin, nvidia/gp107/sec2/image-1.bin,
    nvidia/gp108/sec2/image.bin
  * nvidia/gp102/sec2/sig.bin, nvidia/gp104/sec2/sig.bin,
    nvidia/gp106/sec2/sig.bin, nvidia/gp107/sec2/sig.bin
  * nvidia/gp102/sec2/sig-1.bin, nvidia/gp104/sec2/sig-1.bin,
    nvidia/gp106/sec2/sig-1.bin, nvidia/gp107/sec2/sig-1.bin,
    nvidia/gp108/sec2/sig.bin
  * nvidia/gp104/gr/fecs_data.bin
  * nvidia/gp104/gr/fecs_inst.bin
  * nvidia/gp104/gr/fecs_sig.bin
  * nvidia/gp104/gr/gpccs_data.bin
  * nvidia/gp104/gr/gpccs_inst.bin
  * nvidia/gp104/gr/gpccs_sig.bin
  * nvidia/gp106/gr/fecs_data.bin
  * nvidia/gp106/gr/fecs_sig.bin
  * nvidia/gp106/gr/gpccs_data.bin
  * nvidia/gp106/gr/gpccs_sig.bin
  * nvidia/gp107/gr/fecs_bl.bin
  * nvidia/gp107/gr/fecs_data.bin
  * nvidia/gp107/gr/fecs_inst.bin
  * nvidia/gp107/gr/fecs_sig.bin
  * nvidia/gp107/gr/gpccs_bl.bin
  * nvidia/gp107/gr/gpccs_data.bin
  * nvidia/gp107/gr/gpccs_inst.bin
  * nvidia/gp107/gr/gpccs_sig.bin
  * nvidia/gp107/gr/sw_ctx.bin
  * nvidia/gp107/gr/sw_nonctx.bin
  * nvidia/gp108/gr/fecs_bl.bin
  * nvidia/gp108/gr/fecs_data.bin
  * nvidia/gp108/gr/fecs_inst.bin
  * nvidia/gp108/gr/fecs_sig.bin
  * nvidia/gp108/gr/gpccs_bl.bin
  * nvidia/gp108/gr/gpccs_data.bin
  * nvidia/gp108/gr/gpccs_inst.bin
  * nvidia/gp108/gr/gpccs_sig.bin
  * nvidia/gp108/gr/sw_bundle_init.bin
  * nvidia/gp108/gr/sw_ctx.bin
  * nvidia/gp108/gr/sw_method_init.bin
  * nvidia/gp108/gr/sw_nonctx.bin
  * nvidia/gp10b/acr/bl.bin
  * nvidia/gp10b/acr/ucode_load.bin
  * nvidia/gp10b/gr/fecs_bl.bin
  * nvidia/gp10b/gr/fecs_data.bin
  * nvidia/gp10b/gr/fecs_inst.bin
  * nvidia/gp10b/gr/fecs_sig.bin
  * nvidia/gp10b/gr/gpccs_bl.bin
  * nvidia/gp10b/gr/gpccs_data.bin
  * nvidia/gp10b/gr/gpccs_inst.bin
  * nvidia/gp10b/gr/gpccs_sig.bin
  * nvidia/gp10b/gr/sw_bundle_init.bin
  * nvidia/gp10b/gr/sw_ctx.bin
  * nvidia/gp10b/gr/sw_method_init.bin
  * nvidia/gp10b/gr/sw_nonctx.bin
  * nvidia/gp10b/pmu/desc.bin
  * nvidia/gp10b/pmu/image.bin
  * nvidia/gp10b/pmu/sig.bin
  * nvidia/gv100/acr/bl.bin
  * nvidia/gv100/acr/unload_bl.bin
  * nvidia/gv100/acr/ucode_load.bin
  * nvidia/gv100/acr/ucode_unload.bin
  * nvidia/gv100/gr/fecs_bl.bin
  * nvidia/gv100/gr/fecs_inst.bin
  * nvidia/gv100/gr/fecs_data.bin
  * nvidia/gv100/gr/fecs_sig.bin
  * nvidia/gv100/gr/gpccs_bl.bin
  * nvidia/gv100/gr/gpccs_inst.bin
  * nvidia/gv100/gr/gpccs_data.bin
  * nvidia/gv100/gr/gpccs_sig.bin
  * nvidia/gv100/gr/sw_ctx.bin
  * nvidia/gv100/gr/sw_nonctx.bin
  * nvidia/gv100/gr/sw_bundle_init.bin
  * nvidia/gv100/gr/sw_method_init.bin
  * nvidia/gv100/nvdec/scrubber.bin
  * nvidia/gv100/sec2/desc.bin
  * nvidia/gv100/sec2/image.bin
  * nvidia/gv100/sec2/sig.bin
  * nvidia/tegra124/vic03_ucode.bin
  * Nvidia Tegra 124 XHCI firmware, version 45.46
    (nvidia/tegra124/xusb.bin)
  * Nvidia Tegra 186 XHCI firmware, version 55.15
    (nvidia/tegra186/xusb.bin)
  * nvidia/tegra186/vic04_ucode.bin
  * Nvidia Tegra 194 XHCI firmware, version 60.06
    (nvidia/tegra194/xusb.bin)
  * nvidia/tegra210/vic04_ucode.bin
  * Nvidia Tegra 210 XHCI firmware, version 50.24
    (nvidia/tegra210/xusb.bin)
  * nvidia/tu102/acr/bl.bin, nvidia/tu104/acr/bl.bin,
    nvidia/tu106/acr/bl.bin
  * nvidia/tu102/acr/ucode_ahesasc.bin,
    nvidia/tu104/acr/ucode_ahesasc.bin,
    nvidia/tu106/acr/ucode_ahesasc.bin
  * nvidia/tu102/acr/ucode_asb.bin, nvidia/tu104/acr/ucode_asb.bin,
    nvidia/tu106/acr/ucode_asb.bin
  * nvidia/tu102/acr/ucode_unload.bin, nvidia/tu104/acr/unload_bl.bin,
    nvidia/tu106/acr/unload_bl.bin
  * nvidia/tu102/acr/unload_bl.bin, nvidia/tu104/acr/ucode_unload.bin,
    nvidia/tu106/acr/ucode_unload.bin
  * nvidia/tu102/gr/fecs_bl.bin, nvidia/tu104/gr/fecs_bl.bin,
    nvidia/tu106/gr/fecs_bl.bin
  * nvidia/tu102/gr/fecs_data.bin
  * nvidia/tu102/gr/fecs_inst.bin
  * nvidia/tu102/gr/fecs_sig.bin
  * nvidia/tu102/gr/gpccs_bl.bin, nvidia/tu104/gr/gpccs_bl.bin,
    nvidia/tu106/gr/gpccs_bl.bin
  * nvidia/tu102/gr/gpccs_data.bin
  * nvidia/tu102/gr/gpccs_inst.bin
  * nvidia/tu102/gr/gpccs_sig.bin
  * nvidia/tu102/gr/sw_bundle_init.bin
  * nvidia/tu102/gr/sw_ctx.bin
  * nvidia/tu102/gr/sw_method_init.bin
  * nvidia/tu102/gr/sw_nonctx.bin
  * nvidia/tu102/gr/sw_veid_bundle_init.bin
  * nvidia/tu102/nvdec/scrubber.bin, nvidia/tu104/nvdec/scrubber.bin,
    nvidia/tu106/nvdec/scrubber.bin
  * nvidia/tu102/sec2/desc.bin, nvidia/tu104/sec2/desc.bin,
    nvidia/tu106/sec2/desc.bin
  * nvidia/tu102/sec2/image.bin, nvidia/tu104/sec2/image.bin,
    nvidia/tu106/sec2/image.bin
  * nvidia/tu102/sec2/sig.bin, nvidia/tu104/sec2/sig.bin,
    nvidia/tu106/sec2/sig.bin
  * nvidia/tu104/gr/fecs_data.bin
  * nvidia/tu104/gr/fecs_inst.bin
  * nvidia/tu104/gr/fecs_sig.bin
  * nvidia/tu104/gr/gpccs_data.bin
  * nvidia/tu104/gr/gpccs_inst.bin
  * nvidia/tu104/gr/gpccs_sig.bin
  * nvidia/tu104/gr/sw_bundle_init.bin
  * nvidia/tu104/gr/sw_ctx.bin
  * nvidia/tu104/gr/sw_method_init.bin
  * nvidia/tu104/gr/sw_nonctx.bin
  * nvidia/tu104/gr/sw_veid_bundle_init.bin
  * nvidia/tu106/gr/fecs_data.bin
  * nvidia/tu106/gr/fecs_inst.bin
  * nvidia/tu106/gr/fecs_sig.bin
  * nvidia/tu106/gr/gpccs_data.bin
  * nvidia/tu106/gr/gpccs_inst.bin
  * nvidia/tu106/gr/gpccs_sig.bin
  * nvidia/tu106/gr/sw_bundle_init.bin
  * nvidia/tu106/gr/sw_ctx.bin
  * nvidia/tu106/gr/sw_method_init.bin
  * nvidia/tu106/gr/sw_nonctx.bin
  * nvidia/tu106/gr/sw_veid_bundle_init.bin
  * nvidia/tu10x/typec/ccg_boot.cyacd
  * nvidia/tu10x/typec/ccg_primary.cyacd
  * nvidia/tu10x/typec/ccg_secondary.cyacd
  * nvidia/tu116/acr/bl.bin, nvidia/tu117/acr/bl.bin
  * nvidia/tu116/acr/ucode_ahesasc.bin,
    nvidia/tu117/acr/ucode_ahesasc.bin
  * nvidia/tu116/acr/ucode_asb.bin, nvidia/tu117/acr/ucode_asb.bin
  * nvidia/tu116/acr/ucode_unload.bin, nvidia/tu117/acr/ucode_unload.bin
  * nvidia/tu116/acr/unload_bl.bin, nvidia/tu117/acr/unload_bl.bin
  * nvidia/tu116/gr/fecs_bl.bin, nvidia/tu117/gr/fecs_bl.bin
  * nvidia/tu116/gr/fecs_data.bin
  * nvidia/tu116/gr/fecs_inst.bin
  * nvidia/tu116/gr/fecs_sig.bin
  * nvidia/tu116/gr/gpccs_bl.bin, nvidia/tu117/gr/gpccs_bl.bin
  * nvidia/tu116/gr/gpccs_data.bin
  * nvidia/tu116/gr/gpccs_inst.bin
  * nvidia/tu116/gr/gpccs_sig.bin
  * nvidia/tu116/gr/sw_bundle_init.bin
  * nvidia/tu116/gr/sw_ctx.bin
  * nvidia/tu116/gr/sw_method_init.bin
  * nvidia/tu116/gr/sw_nonctx.bin
  * nvidia/tu116/gr/sw_veid_bundle_init.bin
  * nvidia/tu116/nvdec/scrubber.bin, nvidia/tu117/nvdec/scrubber.bin
  * nvidia/tu116/sec2/desc.bin, nvidia/tu117/sec2/desc.bin
  * nvidia/tu116/sec2/image.bin, nvidia/tu117/sec2/image.bin
  * nvidia/tu116/sec2/sig.bin, nvidia/tu117/sec2/sig.bin
  * nvidia/tu117/gr/fecs_data.bin
  * nvidia/tu117/gr/fecs_inst.bin
  * nvidia/tu117/gr/fecs_sig.bin
  * nvidia/tu117/gr/gpccs_data.bin
  * nvidia/tu117/gr/gpccs_inst.bin
  * nvidia/tu117/gr/gpccs_sig.bin
  * nvidia/tu117/gr/sw_bundle_init.bin
  * nvidia/tu117/gr/sw_ctx.bin
  * nvidia/tu117/gr/sw_method_init.bin
  * nvidia/tu117/gr/sw_nonctx.bin
  * nvidia/tu117/gr/sw_veid_bundle_init.bin
  * Intel QAT DH895xCC UOF firmware (qat_895xcc.bin)
  * Intel QAT DH895xCC MMP firmware (qat_895xcc_mmp.bin, qat_mmp.bin)
  * Intel QAT C3xxx UOF firmware (qat_c3xxx.bin)
  * Intel QAT C3xxx MMP firmware (qat_c3xxx_mmp.bin)
  * Intel QAT C62x UOF firmware (qat_c62x.bin)
  * Intel QAT C62x MMP firmware (qat_c62x_mmp.bin)
  * Rockchip cdn DisplayPort controller firmware, version 3.1
    (rockchip/dptx.bin)
  * Comtrol RocketPort 2 firmware (rp2.fw)
  * Ralink RT2561 (RT2501/RT5201 chipset) firmware, version 1.2
    (rt2561.bin)
  * Ralink RT2561S (RT2501 Turbo/RT5201 Turbo chipset) firmware, version
    1.2 (rt2561s.bin)
  * Ralink RT2661 (RT2600/RT5600 chipset) firmware, version 1.2
    (rt2661.bin)
  * Ralink RT2760/RT2790/RT2860/RT2890/RT3090
    (RT2700P[D]/RT2700E[D]/RT2800P[D]/RT2800E[D]/RT3000E[D] chipset)
    firmware, version 0.40 (rt2860.bin, rt3090.bin)
  * Ralink RT2870/RT3070/RT3071/RT3072 (RT2800U[D] chipset) firmware,
    version 0.36 (rt2870.bin, rt3070.bin)
  * Ralink RT3071/RT3072 firmware, version 29 (rt3071.bin)
  * Ralink RT3290 firmware, version 1 (rt3290.bin)
  * Ralink RT2571W/RT2671 (RT2501USB/RT5201USB chipset) firmware,
    version 1.8 (rt73.bin)
  * Silicon Labs WF200 firmware, version 3.12.1
    (silabs/wfm_wf200_C0.sec)
  * Tehuti network card firmware (tehuti/bdx.bin)
  * Broadcom BCM5703/BCM5704 TSO firmware (tigon/tg3_tso.bin)
  * Broadcom BCM5701A0 firmware (tigon/tg3.bin)
  * Broadcom BCM5705 TSO firmware (tigon/tg3_tso5.bin)
  * Broadcom BCM57766 firmware (tigon/tg357766.bin)
  * ADI Eagle IV ADSL configuration, generic (ueagle-atm/CMV4p.bin.v2)
  * ADI Eagle IV ADSL DSP firmware (ueagle-atm/DSP4p.bin)
  * ADI Eagle IV firmware (ueagle-atm/eagleIV.fw)
  * Conexant CX231xx core firmware (v4l-cx231xx-avcore-01.fw)
  * Conexant CX23418 APU firmware (v4l-cx23418-apu.fw)
  * Conexant CX23418 CPU firmware (v4l-cx23418-cpu.fw)
  * Conexant CX23418 ADEC firmware (v4l-cx23418-dig.fw)
  * Conexant CX25840 firmware (v4l-cx25840.fw)
  * Conexant CX23885 core firmware (v4l-cx23885-avcore-01.fw)
  * VIA VT6656 firmware (vntwusb.fw)

Package: firmware-myricom
Description-md5: ca4d43bb454ac054fb806fbed3d8853e
Description-en: Binary firmware for Myri-10G Ethernet adapters
 This package contains the binary firmware for Myricom Myri-10G Ethernet
 adapters supported by the myri10ge driver.
 .
 Contents:
  * Myri-10G firmware (aligned, big RX ring), version 1.4.57
    (myri10ge_eth_big_z8e.dat)
  * Myri-10G firmware (aligned), version 1.4.57 (myri10ge_eth_z8e.dat)
  * Myri-10G firmware (unaligned, big RX ring), version 1.4.57
    (myri10ge_ethp_big_z8e.dat)
  * Myri-10G firmware (unaligned), version 1.4.57
    (myri10ge_ethp_z8e.dat)
  * Myri-10G firmware (aligned, RSS, big RX rings), version 1.4.57
    (myri10ge_rss_eth_big_z8e.dat)
  * Myri-10G firmware (aligned, RSS), version 1.4.57
    (myri10ge_rss_eth_z8e.dat)
  * Myri-10G firmware (unaligned, RSS, big RX rings), version 1.4.57
    (myri10ge_rss_ethp_big_z8e.dat)
  * Myri-10G firmware (unaligned, RSS), version 1.4.57
    (myri10ge_rss_ethp_z8e.dat)

Package: firmware-netronome
Description-md5: 90960af1865c607cd208b660533a7385
Description-en: Binary firmware for Netronome network adapters
 This package contains the binary firmware for Netronome network adapters
 supported by the nfp driver.
 .
 Contents:
  * Agilio LX (rev 11) 2x40GbE firmware (BPF), version 2.0.6.124
    (netronome/bpf/nic_AMDA0058-0011_2x40.nffw)
  * Agilio LX (rev 12) 2x40GbE firmware (BPF), version 2.0.6.124
    (netronome/bpf/nic_AMDA0058-0012_2x40.nffw)
  * Agilio LX 1x100GbE firmware (BPF), version 2.0.6.124
    (netronome/bpf/nic_AMDA0078-0011_1x100.nffw)
  * Agilio CX 1x40GbE firmware (BPF), version 2.0.6.124
    (netronome/bpf/nic_AMDA0081-0001_1x40.nffw)
  * Agilio CX 1x40GbE firmware (4x10GbE mode, BPF), version 2.0.6.124
    (netronome/bpf/nic_AMDA0081-0001_4x10.nffw)
  * Agilio CX 2x10GbE firmware (BPF), version 2.0.6.124
    (netronome/bpf/nic_AMDA0096-0001_2x10.nffw)
  * Agilio CX 2x40GbE firmware (BPF), version 2.0.6.124
    (netronome/bpf/nic_AMDA0097-0001_2x40.nffw)
  * Agilio CX 2x40GbE firmware (4x10GbE+1x40GbE mode, BPF), version
    2.0.6.124 (netronome/bpf/nic_AMDA0097-0001_4x10_1x40.nffw)
  * Agilio CX 2x40GbE firmware (8x10GbE mode, BPF), version 2.0.6.124
    (netronome/bpf/nic_AMDA0097-0001_8x10.nffw)
  * Agilio CX 2x25GbE firmware (1x10GbE+1x25GbE mode, BPF), version
    2.0.6.124 (netronome/bpf/nic_AMDA0099-0001_1x10_1x25.nffw)
  * Agilio CX 2x25GbE firmware (2x10GbE mode, BPF), version 2.0.6.124
    (netronome/bpf/nic_AMDA0099-0001_2x10.nffw)
  * Agilio CX 2x25GbE firmware (BPF), version 2.0.6.124
    (netronome/bpf/nic_AMDA0099-0001_2x25.nffw)
  * Agilio LX flower firmware, version AOTC-2.10.A.23
    (netronome/flower/nic_AMDA0058.nffw,
    netronome/flower/nic_AMDA0058-0011_1x100.nffw,
    netronome/flower/nic_AMDA0058-0011_2x40.nffw,
    netronome/flower/nic_AMDA0058-0011_4x10_1x40.nffw,
    netronome/flower/nic_AMDA0058-0011_8x10.nffw,
    netronome/flower/nic_AMDA0058-0012_1x100.nffw,
    netronome/flower/nic_AMDA0058-0012_2x40.nffw,
    netronome/flower/nic_AMDA0058-0012_4x10_1x40.nffw,
    netronome/flower/nic_AMDA0058-0012_8x10.nffw,
    netronome/flower/nic_AMDA0078-0011_1x100.nffw,
    netronome/flower/nic_AMDA0078-0011_2x40.nffw,
    netronome/flower/nic_AMDA0078-0011_4x10_1x40.nffw,
    netronome/flower/nic_AMDA0078-0011_8x10.nffw,
    netronome/flower/nic_AMDA0078-0012_1x100.nffw,
    netronome/flower/nic_AMDA0078-0012_2x40.nffw,
    netronome/flower/nic_AMDA0078-0012_4x10_1x40.nffw,
    netronome/flower/nic_AMDA0078-0012_8x10.nffw)
  * Agilio CX 2x10GbE flower firmware, version AOTC-2.10.A.23
    (netronome/flower/nic_AMDA0096.nffw,
    netronome/flower/nic_AMDA0096-0001_2x10.nffw)
  * Agilio CX 1/2x40GbE flower firmware, version AOTC-2.10.A.23
    (netronome/flower/nic_AMDA0097.nffw,
    netronome/flower/nic_AMDA0081.nffw,
    netronome/flower/nic_AMDA0097-0001_2x40.nffw,
    netronome/flower/nic_AMDA0097-0001_4x10_1x40.nffw,
    netronome/flower/nic_AMDA0097-0001_8x10.nffw)
  * Agilio CX 2x25GbE flower firmware, version AOTC-2.10.A.23
    (netronome/flower/nic_AMDA0099.nffw,
    netronome/flower/nic_AMDA0099-0001_1x10_1x25.nffw,
    netronome/flower/nic_AMDA0099-0001_2x10.nffw,
    netronome/flower/nic_AMDA0099-0001_2x25.nffw)
  * Agilio LX (rev 11) 2x40GbE firmware, version 2.1.16.1
    (netronome/nic/nic_AMDA0058-0011_2x40.nffw)
  * Agilio LX (rev 12) 2x40GbE firmware, version 2.1.16.1
    (netronome/nic/nic_AMDA0058-0012_2x40.nffw)
  * Agilio LX 1x100GbE firmware, version 2.1.16.1
    (netronome/nic/nic_AMDA0078-0011_1x100.nffw)
  * Agilio CX 1x40GbE firmware, version 2.1.16.1
    (netronome/nic/nic_AMDA0081-0001_1x40.nffw,
    netronome/nic_AMDA0081-0001_1x40.nffw)
  * Agilio CX 1x40GbE firmware (4x10GbE mode), version 2.1.16.1
    (netronome/nic/nic_AMDA0081-0001_4x10.nffw,
    netronome/nic_AMDA0081-0001_4x10.nffw)
  * Agilio CX 2x10GbE firmware, version 2.1.16.1
    (netronome/nic/nic_AMDA0096-0001_2x10.nffw,
    netronome/nic_AMDA0096-0001_2x10.nffw)
  * Agilio CX 2x40GbE firmware, version 2.1.16.1
    (netronome/nic/nic_AMDA0097-0001_2x40.nffw,
    netronome/nic_AMDA0097-0001_2x40.nffw)
  * Agilio CX 2x40GbE firmware (4x10GbE+1x40GbE mode), version 2.1.16.1
    (netronome/nic/nic_AMDA0097-0001_4x10_1x40.nffw,
    netronome/nic_AMDA0097-0001_4x10_1x40.nffw)
  * Agilio CX 2x40GbE firmware (8x10GbE mode), version 2.1.16.1
    (netronome/nic/nic_AMDA0097-0001_8x10.nffw,
    netronome/nic_AMDA0097-0001_8x10.nffw)
  * Agilio CX 2x25GbE firmware (1x10GbE+1x25GbE mode), version 2.1.16.1
    (netronome/nic/nic_AMDA0099-0001_1x10_1x25.nffw)
  * Agilio CX 2x25GbE firmware (2x10GbE mode), version 2.1.16.1
    (netronome/nic/nic_AMDA0099-0001_2x10.nffw,
    netronome/nic_AMDA0099-0001_2x10.nffw)
  * Agilio CX 2x25GbE firmware, version 2.1.16.1
    (netronome/nic/nic_AMDA0099-0001_2x25.nffw,
    netronome/nic_AMDA0099-0001_2x25.nffw)
  * Agilio LX (rev 11) 2x40GbE firmware (SR-IOV), version 2.1.16.1
    (netronome/nic-sriov/nic_AMDA0058-0011_2x40.nffw)
  * Agilio LX (rev 12) 2x40GbE firmware (SR-IOV), version 2.1.16.1
    (netronome/nic-sriov/nic_AMDA0058-0012_2x40.nffw)
  * Agilio LX 1x100GbE firmware (SR-IOV), version 2.1.16.1
    (netronome/nic-sriov/nic_AMDA0078-0011_1x100.nffw)
  * Agilio CX 1x40GbE firmware (SR-IOV), version 2.1.16.1
    (netronome/nic-sriov/nic_AMDA0081-0001_1x40.nffw)
  * Agilio CX 1x40GbE firmware (4x10GbE mode, SR-IOV), version 2.1.16.1
    (netronome/nic-sriov/nic_AMDA0081-0001_4x10.nffw)
  * Agilio CX 2x10GbE firmware (SR-IOV), version 2.1.16.1
    (netronome/nic-sriov/nic_AMDA0096-0001_2x10.nffw)
  * Agilio CX 2x40GbE firmware (SR-IOV), version 2.1.16.1
    (netronome/nic-sriov/nic_AMDA0097-0001_2x40.nffw)
  * Agilio CX 2x40GbE firmware (4x10GbE+1x40GbE mode, SR-IOV), version
    2.1.16.1 (netronome/nic-sriov/nic_AMDA0097-0001_4x10_1x40.nffw)
  * Agilio CX 2x40GbE firmware (8x10GbE mode, SR-IOV), version 2.1.16.1
    (netronome/nic-sriov/nic_AMDA0097-0001_8x10.nffw)
  * Agilio CX 2x25GbE firmware (1x10GbE+1x25GbE mode, SR-IOV), version
    2.1.16.1 (netronome/nic-sriov/nic_AMDA0099-0001_1x10_1x25.nffw)
  * Agilio CX 2x25GbE firmware (2x10GbE mode, SR-IOV), version 2.1.16.1
    (netronome/nic-sriov/nic_AMDA0099-0001_2x10.nffw)
  * Agilio CX 2x25GbE firmware (SR-IOV), version 2.1.16.1
    (netronome/nic-sriov/nic_AMDA0099-0001_2x25.nffw)

Package: firmware-netxen
Description-md5: 7fa78064ec7806e471238db34c2cb044
Description-en: Binary firmware for QLogic Intelligent Ethernet (3000 and 3100 Series)
 This package contains the binary firmware for QLogic (formerly NetXen)
 Intelligent network adapters supported by the netxen_nic and qlcnic
 drivers.
 .
 Contents:
  * QLogic Intelligent Ethernet (3000 and 3100 Series), version 4.0.590
    (phanfw.bin)

Package: firmware-qcom-media
Description-md5: c1e7b5258d2bcd95f7264264434911d0
Description-en: Binary firmware for Qualcomm graphics/video (dummy package)
 This is a dummy transitional package.  It can be safely removed.

Package: firmware-qcom-soc
Description-md5: 6ed3b9035336de4c31c0b28245ec24d5
Description-en: Binary firmware for Qualcomm SoCs
 This package contains the binary firmware for Qualcomm Snapdragon SoCs.
 .
 Contents:
  * Qualcomm Adreno 300 PFP firmware (qcom/a300_pfp.fw)
  * Qualcomm Adreno 300 PM4 firmware (qcom/a300_pm4.fw)
  * Qualcomm Adreno 530 PFP firmware (qcom/a530_pfp.fw)
  * Qualcomm Adreno 530 PM4 firmware (qcom/a530_pm4.fw)
  * Qualcomm Adreno 530 Zap firmware part 0 (qcom/a530_zap.b00)
  * Qualcomm Adreno 530 Zap firmware part 1 (qcom/a530_zap.b01)
  * Qualcomm Adreno 530 Zap firmware part 2 (qcom/a530_zap.b02)
  * Qualcomm Adreno 530 Zap firmware header (qcom/a530_zap.mdt)
  * Qualcomm Adreno 530 v3 GPMU firmware (qcom/a530v3_gpmu.fw2)
  * Qualcomm Adreno 530 v3 GPMU firmware (qcom/a530v3_gpmu.fw2)
  * Qualcomm Adreno 630 GMU firmware (qcom/a630_gmu.bin)
  * Qualcomm Adreno 630 SQE firmware (qcom/a630_sqe.fw)
  * Qualcomm Adreno 650 GMU firmware (qcom/a650_gmu.bin)
  * Qualcomm Adreno 650 SQE firmware (qcom/a650_sqe.fw)
  * Qualcomm Adreno 630 SDM845 ZAP firmware (qcom/sdm845/a630_zap.mbn)
  * Qualcomm SDM845 audio firmware (qcom/sdm845/adsp.mbn)
  * Qualcomm SDM845 audio configuration (qcom/sdm845/adspr.jsn)
  * Qualcomm SDM845 audio configuration (qcom/sdm845/adspua.jsn)
  * Qualcomm SDM845 compute firmware (qcom/sdm845/cdsp.mbn)
  * Qualcomm SDM845 compute configuration (qcom/sdm845/cdspr.jsn)
  * Qualcomm SDM845 modem firmware (qcom/sdm845/mba.mbn)
  * Qualcomm SDM845 modem firmware (qcom/sdm845/modem.mbn)
  * Qualcomm SDM845 modem configuration (qcom/sdm845/modemuw.jsn)
  * Qualcomm SM8250 ZAP firmware (qcom/sm8250/a650_zap.mbn)
  * Qualcomm SM8250 audio firmware (qcom/sm8250/adsp.mbn)
  * Qualcomm SM8250 audio general config (qcom/sm8250/adspr.jsn)
  * Qualcomm SM8250 audio config (qcom/sm8250/adspua.jsn)
  * Qualcomm SM8250 compute DSP firmware (qcom/sm8250/cdsp.mbn)
  * Qualcomm SM8250 compute DSP config (qcom/sm8250/cdspr.jsn)
  * Qualcomm Venus 1.8 firmware part 0 (qcom/venus-1.8/venus.b00)
  * Qualcomm Venus 1.8 firmware part 1 (qcom/venus-1.8/venus.b01)
  * Qualcomm Venus 1.8 firmware part 2 (qcom/venus-1.8/venus.b02)
  * Qualcomm Venus 1.8 firmware part 3 (qcom/venus-1.8/venus.b03)
  * Qualcomm Venus 1.8 firmware part 4 (qcom/venus-1.8/venus.b04)
  * Qualcomm Venus 1.8 firmware header (qcom/venus-1.8/venus.mdt)
  * Qualcomm Venus 4.2 firmware part 0 (qcom/venus-4.2/venus.b00)
  * Qualcomm Venus 4.2 firmware part 1 (qcom/venus-4.2/venus.b01)
  * Qualcomm Venus 4.2 firmware part 2 (qcom/venus-4.2/venus.b02)
  * Qualcomm Venus 4.2 firmware part 3 (qcom/venus-4.2/venus.b03)
  * Qualcomm Venus 4.2 firmware part 4 (qcom/venus-4.2/venus.b04)
  * Qualcomm Venus 4.2 firmware header (qcom/venus-4.2/venus.mdt)
  * Qualcomm Venus 5.2 firmware part 0 (qcom/venus-5.2/venus.b00)
  * Qualcomm Venus 5.2 firmware part 1 (qcom/venus-5.2/venus.b01)
  * Qualcomm Venus 5.2 firmware part 2 (qcom/venus-5.2/venus.b02)
  * Qualcomm Venus 5.2 firmware part 3 (qcom/venus-5.2/venus.b03)
  * Qualcomm Venus 5.2 firmware part 4 (qcom/venus-5.2/venus.b04)
  * Qualcomm Venus 5.2 firmware (qcom/venus-5.2/venus.mbn)
  * Qualcomm Venus 5.2 firmware header (qcom/venus-5.2/venus.mdt)
  * Qualcomm Venus 5.4 firmware part 0 (qcom/venus-5.4/venus.b00)
  * Qualcomm Venus 5.4 firmware part 1 (qcom/venus-5.4/venus.b01)
  * Qualcomm Venus 5.4 firmware part 2 (qcom/venus-5.4/venus.b02)
  * Qualcomm Venus 5.4 firmware part 3 (qcom/venus-5.4/venus.b03)
  * Qualcomm Venus 5.4 firmware part 4 (qcom/venus-5.4/venus.b04)
  * Qualcomm Venus 5.4 firmware (qcom/venus-5.4/venus.mbn)
  * Qualcomm Venus 5.4 firmware header (qcom/venus-5.4/venus.mdt)
  * Qualcomm Venus VPU-1.0 firwmare part 0 (qcom/vpu-1.0/venus.b00)
  * Qualcomm Venus VPU-1.0 firwmare part 1 (qcom/vpu-1.0/venus.b01)
  * Qualcomm Venus VPU-1.0 firwmare part 2 (qcom/vpu-1.0/venus.b02)
  * Qualcomm Venus VPU-1.0 firwmare part 3 (qcom/vpu-1.0/venus.b03)
  * Qualcomm Venus VPU-1.0 firwmare part 4 (qcom/vpu-1.0/venus.b04)
  * Qualcomm Venus VPU-1.0 firwmare part 5 (qcom/vpu-1.0/venus.b05)
  * Qualcomm Venus VPU-1.0 firwmare part 6 (qcom/vpu-1.0/venus.b06)
  * Qualcomm Venus VPU-1.0 firwmare part 7 (qcom/vpu-1.0/venus.b07)
  * Qualcomm Venus VPU-1.0 firwmare part 8 (qcom/vpu-1.0/venus.b08)
  * Qualcomm Venus VPU-1.0 firwmare part 9 (qcom/vpu-1.0/venus.b09)
  * Qualcomm Venus VPU-1.0 firwmare part 10 (qcom/vpu-1.0/venus.b10)
  * Qualcomm Venus VPU-1.0 firwmare part 19 (qcom/vpu-1.0/venus.b19)
  * Qualcomm Venus VPU-1.0 firwmare (qcom/vpu-1.0/venus.mbn)
  * Qualcomm Venus VPU-1.0 firwmare header (qcom/vpu-1.0/venus.mdt)

Package: firmware-qlogic
Description-md5: 3c3c8bc268843603dafa9b3bc23d1337
Description-en: Binary firmware for QLogic HBAs
 This package contains the binary firmware for QLogic Infiniband, SCSI,
 Fibre Channel/FCoE adapters and Converged Network Adapters supported by
 the bfa, bna, ip_iband, qed, qla1280 and qla2xxx drivers.
 .
 Contents:
  * Brocade 425/825/42B/82B/415/815/41B/81B firmware, version 3.2.3.0
    (cbfw-3.2.3.0.bin)
  * Brocade 425/825/42B/82B/415/815/41B/81B firmware, version 3.2.5.1
    (cbfw-3.2.5.1.bin)
  * Brocade 1860/1867/1869 firmware, version 3.2.3.0 (ct2fw-3.2.3.0.bin)
  * Brocade 1860/1867/1869 firmware, version 3.2.5.1 (ct2fw-3.2.5.1.bin)
  * Brocade 1010/1020/1007/1741/804 firmware, version 3.2.3.0
    (ctfw-3.2.3.0.bin)
  * Brocade 1010/1020/1007/1741/804 firmware, version 3.2.5.1
    (ctfw-3.2.5.1.bin)
  * QLogic QL45000 series firmware, version 8.10.10.0
    (qed/qed_init_values_zipped-8.10.10.0.bin)
  * QLogic QL45000 series firmware, version 8.33.1.0
    (qed/qed_init_values_zipped-8.33.1.0.bin)
  * QLogic QL45000 series firmware, version 8.33.11.0
    (qed/qed_init_values_zipped-8.33.11.0.bin)
  * QLogic QL45000 series firmware, version 8.37.2.0
    (qed/qed_init_values_zipped-8.37.2.0.bin)
  * QLogic QL45000 series firmware, version 8.42.2.0
    (qed/qed_init_values_zipped-8.42.2.0.bin)
  * QLogic QLA1040 firmware, version 7.65.06 (qlogic/1040.bin)
  * QLogic QLA1080, 1240, 1280 firmware, version 8.15.11
    (qlogic/1280.bin)
  * QLogic QLA10160, 12160 firmware, version 10.04.42 (qlogic/12160.bin)
  * QLogic IBA7220 serdes firmware (qlogic/sd7220.fw)
  * QLogic QLA2100 firmware, version 1.19.38 (ql2100_fw.bin)
  * QLogic QLA2200 firmware, version 2.02.08 (ql2200_fw.bin)
  * QLogic QLA2300, ISP2312, SP202 firmware, version 3.03.28
    (ql2300_fw.bin)
  * QLogic ISP2322, SP212 firmware, version 3.03.28 (ql2322_fw.bin)
  * QLogic ISP2422, ISP2432[M], SP222, SP232 firmware, version 8.07.00
    (ql2400_fw.bin)
  * QLogic ISP2532 firmware, version 8.07.00 (ql2500_fw.bin)

Package: firmware-realtek
Description-md5: e094e58cf3ffaa1be1c4aaec688daa6e
Description-en: Binary firmware for Realtek wired/wifi/BT adapters
 This package contains the binary firmware for Realtek Ethernet, wifi and
 Bluetooth adapters supported by various drivers.
 .
 Contents:
  * Realtek RTL8192E boot code (RTL8192E/boot.img)
  * Realtek RTL8192E init data (RTL8192E/data.img)
  * Realtek RTL8192E main code (RTL8192E/main.img)
  * Realtek RTL8192EE Bluetooth firmware (rtl_bt/rtl8192ee_fw.bin)
  * Realtek RTL8192EU Bluetooth firmware (rtl_bt/rtl8192eu_fw.bin)
  * Realtek RTL8723AU rev A Bluetooth firmware (rtl_bt/rtl8723a_fw.bin)
  * Realtek RTL8723BU rev B Bluetooth firmware (rtl_bt/rtl8723b_fw.bin)
  * Realtek RTL8723BS Bluetooth config
    (rtl_bt/rtl8723bs_config-OBDA8723.bin)
  * Realtek RTL8723BS Bluetooth firmware (rtl_bt/rtl8723bs_fw.bin)
  * Realtek RTL8723D Bluetooth config (rtl_bt/rtl8723d_config.bin)
  * Realtek RTL8723D Bluetooth firmware (rtl_bt/rtl8723d_fw.bin)
  * Realtek RTL8761A Bluetooth firmware (rtl_bt/rtl8761a_fw.bin)
  * Realtek RTL8812AE Bluetooth firmware (rtl_bt/rtl8812ae_fw.bin)
  * Realtek RTL8821A Bluetooth firmware (rtl_bt/rtl8821a_fw.bin)
  * Realtek RTL8821C Bluetooth config (rtl_bt/rtl8821c_config.bin)
  * Realtek RTL8821C Bluetooth firmware (rtl_bt/rtl8821c_fw.bin)
  * Realtek RTL8822B Bluetooth config (rtl_bt/rtl8822b_config.bin)
  * Realtek RTL8822B Bluetooth firmware (rtl_bt/rtl8822b_fw.bin)
  * Realtek RTL8822CS Bluetooth config (rtl_bt/rtl8822cs_config.bin)
  * Realtek RTL8822CS Bluetooth firmware (rtl_bt/rtl8822cs_fw.bin)
  * Realtek RTL8822CU Bluetooth config (rtl_bt/rtl8822cu_config.bin)
  * Realtek RTL8822CU Bluetooth firmware (rtl_bt/rtl8822cu_fw.bin)
  * Realtek RTL8852AU Bluetooth config (rtl_bt/rtl8852au_config.bin)
  * Realtek RTL8852AU Bluetooth firmware (rtl_bt/rtl8852au_fw.bin)
  * Realtek RTL8105E-1 firmware (rtl_nic/rtl8105e-1.fw)
  * Realtek RTL8106E-1 firmware, version 0.0.1 (rtl_nic/rtl8106e-1.fw)
  * Realtek RTL8106E-2 firmware, version 0.0.1 (rtl_nic/rtl8106e-2.fw)
  * Realtek RTL8107E-1 firmware, version 0.0.2 (rtl_nic/rtl8107e-1.fw)
  * Realtek RTL8107E-2 firmware, version 0.0.2 (rtl_nic/rtl8107e-2.fw)
  * Realtek RTL8125 firmware (rtl_nic/rtl8125a-3.fw)
  * Realtek RTL8125B firmware (rtl_nic/rtl8125b-1.fw)
  * Realtek RTL8125B firmware (rtl_nic/rtl8125b-2.fw)
  * Realtek RTL8152/RTL8153 firmware (rtl_nic/rtl8153a-2.fw)
  * Realtek RTL8152/RTL8153 firmware (rtl_nic/rtl8153a-3.fw)
  * Realtek RTL8152/RTL8153 firmware (rtl_nic/rtl8153a-4.fw)
  * Realtek RTL8152/RTL8153 firmware (rtl_nic/rtl8153b-2.fw)
  * Realtek RTL8111D-1/RTL8168D-1 firmware (rtl_nic/rtl8168d-1.fw)
  * Realtek RTL8111D-2/RTL8168D-2 firmware (rtl_nic/rtl8168d-2.fw)
  * Realtek RTL8168E-1 firmware (rtl_nic/rtl8168e-1.fw)
  * Realtek RTL8168E-2 firmware (rtl_nic/rtl8168e-2.fw)
  * Realtek RTL8168E-3 firmware, version 0.0.4 (rtl_nic/rtl8168e-3.fw)
  * Realtek RTL8168F-1 firmware, version 0.0.5 (rtl_nic/rtl8168f-1.fw)
  * Realtek RTL8168F-2 firmware, version 0.0.4 (rtl_nic/rtl8168f-2.fw)
  * Realtek's RTL8168fp/RTL8117 firmware (rtl_nic/rtl8168fp-3.fw)
  * Realtek RTL8168G-1 firmware, version 0.0.3 (rtl_nic/rtl8168g-1.fw)
  * Realtek RTL8168G-2 firmware, version 0.0.1 (rtl_nic/rtl8168g-2.fw)
  * Realtek RTL8168G-3 firmware, version 0.0.1 (rtl_nic/rtl8168g-3.fw)
  * Realtek RTL8168H-1 firmware, version 0.0.2 (rtl_nic/rtl8168h-1.fw)
  * Realtek RTL8168H-2 firmware, version 0.0.2 (rtl_nic/rtl8168h-2.fw)
  * Realtek RTL8402-1 firmware, version 0.0.1 (rtl_nic/rtl8402-1.fw)
  * Realtek RTL8411-1 firmware, version 0.0.3 (rtl_nic/rtl8411-1.fw)
  * Realtek RTL8411-2 firmware, version 0.0.1 (rtl_nic/rtl8411-2.fw)
  * Realtek RTL8188EE firmware (rtlwifi/rtl8188efw.bin)
  * Realtek RTL8188EU firmware (rtlwifi/rtl8188eufw.bin)
  * Realtek RTL8192CE/RTL8188CE firmware (rtlwifi/rtl8192cfw.bin)
  * Realtek RTL8192CE/RTL8188CE B-cut firmware
    (rtlwifi/rtl8192cfwU_B.bin)
  * Realtek RTL8188CE A-cut firmware, version 4.816.2011
    (rtlwifi/rtl8192cfwU.bin)
  * Realtek RTL8192CU/RTL8188CU UMC A-cut firmware
    (rtlwifi/rtl8192cufw_A.bin)
  * Realtek RTL8192CU/RTL8188CU UMC B-cut firmware
    (rtlwifi/rtl8192cufw_B.bin)
  * Realtek RTL8192CU/RTL8188CU fallback firmware
    (rtlwifi/rtl8192cufw.bin)
  * Realtek RTL8192CU/RTL8188CU TMSC firmware
    (rtlwifi/rtl8192cufw_TMSC.bin)
  * Realtek RTL8192DE firmware (rtlwifi/rtl8192defw.bin)
  * Realtek RTL8192EE wifi firmware (rtlwifi/rtl8192eefw.bin)
  * rtlwifi/rtl8192eu_ap_wowlan.bin
  * Realtek RTl8192EU non-WoWLAN firmware (rtlwifi/rtl8192eu_nic.bin)
  * Realtek RTl8192EU WoWLAN firmware (rtlwifi/rtl8192eu_wowlan.bin)
  * Realtek RTL8192SE/RTL8191SE firmware, version 4.816.2011
    (rtlwifi/rtl8192sefw.bin)
  * Realtek RTL8192SU/RTL8712U firmware (rtlwifi/rtl8712u.bin)
  * Realtek RTL8723AU rev A wifi-with-BT firmware
    (rtlwifi/rtl8723aufw_A.bin)
  * Realtek RTL8723AU rev B wifi-with-BT firmware
    (rtlwifi/rtl8723aufw_B.bin)
  * Realtek RTL8723AU rev B wifi-only firmware
    (rtlwifi/rtl8723aufw_B_NoBT.bin)
  * Realtek RTL8723BE firmware, version 36 (rtlwifi/rtl8723befw_36.bin)
  * Realtek RTL8723BE firmware (rtlwifi/rtl8723befw.bin)
  * Realtek RTL8723BS AP WOWLAN firmware
    (rtlwifi/rtl8723bs_ap_wowlan.bin)
  * Realtek RTL8723BS BT firmware (rtlwifi/rtl8723bs_bt.bin)
  * Realtek RTL8723BS wifi non-WoWLAN firmware
    (rtlwifi/rtl8723bs_nic.bin)
  * Realtek RTL8723BS wifi WoWLAN firmware
    (rtlwifi/rtl8723bs_wowlan.bin)
  * Realtek RTl8723BU AP WoWLAN firmware
    (rtlwifi/rtl8723bu_ap_wowlan.bin)
  * Realtek RTl8723BU non-WoWLAN firmware (rtlwifi/rtl8723bu_nic.bin)
  * Realtek RTl8723BU WoWLAN firmware (rtlwifi/rtl8723bu_wowlan.bin)
  * Realtek RTL8723DE firmware (rtlwifi/rtl8723defw.bin)
  * Realtek RTL8723AE rev B firmware (rtlwifi/rtl8723fw_B.bin)
  * Realtek RTL8723AE rev A firmware (rtlwifi/rtl8723fw.bin)
  * Realtek RTL8821AEFW firmware (rtlwifi/rtl8812aefw.bin)
  * Realtek RTL8821AEFW wowlan firmware (rtlwifi/rtl8812aefw_wowlan.bin)
  * Realtek RTL8821AE firmware, version 29 (rtlwifi/rtl8821aefw_29.bin)
  * Realtek RTL8821AE firmware (rtlwifi/rtl8821aefw.bin)
  * Realtek RTL8821AE firmware (rtlwifi/rtl8821aefw_wowlan.bin)
  * Realtek RTL8822BE firmware (rtlwifi/rtl8822befw.bin)
  * Realtek 8821C firmware (rtw88/rtw8821c_fw.bin)
  * Realtek 8822BE firmware (rtw88/rtw8822b_fw.bin)
  * Realtek 8822CE firmware (rtw88/rtw8822c_fw.bin)
  * Realtek 8822C firmware (rtw88/rtw8822c_wow_fw.bin)
  * rtw88/rtw8723d_fw.bin
  * Realtek RTL8852A firmware, version v0.9.12.2 (rtw89/rtw8852a_fw.bin)

Package: firmware-samsung
Description-md5: d4a262eae47dafb2d5673546b66ce855
Description-en: Binary firmware for Samsung MFC video codecs
 This package contains the binary firmware for Samsung MFC video codecs
 used in Exynos SoCs and supported by the s5p-mfc driver.
 .
 Contents:
  * MFCv5 firmware (s5p-mfc.fw)
  * MFCv6 firmware, version 1 (s5p-mfc-v6.fw)
  * MFCv6 firmware, version 2 (s5p-mfc-v6-v2.fw)
  * MFCv7 firmware (s5p-mfc-v7.fw)
  * MFCv8 firmware (s5p-mfc-v8.fw)

Package: firmware-siano
Description-md5: a62d71d8a8c7320383e87dfa0aaa5716
Description-en: Binary firmware for Siano MDTV receivers
 This package contains the binary firmware for Siano Mobile Digital TV
 receivers supported by the smsmdtv driver.
 .
 Contents:
  * cmmb_vega_12mhz.inp
  * cmmb_venice_12mhz.inp
  * dvb_nova_12mhz.inp
  * dvb_nova_12mhz_b0.inp
  * isdbt_nova_12mhz.inp
  * isdbt_nova_12mhz_b0.inp
  * isdbt_rio.inp
  * sms1xxx-hcw-55xxx-dvbt-02.fw
  * sms1xxx-hcw-55xxx-isdbt-02.fw
  * sms1xxx-nova-a-dvbt-01.fw
  * sms1xxx-nova-b-dvbt-01.fw
  * sms1xxx-stellar-dvbt-01.fw
  * tdmb_nova_12mhz.inp

Package: firmware-ti-connectivity
Description-md5: a9d441aeff30465d959a4213890f12b5
Description-en: Binary firmware for TI Connectivity wifi and BT/FM/GPS adapters
 This package contains the binary firmware for Texas Instruments WL1251,
 WL127x, WL128x and WL18xx wireless network chips supported by the wl1251,
 wl12xx and wl18xx drivers and BT/FM/GPS chips supported by the st_drv
 driver.
 .
 Contents:
  * TI VPDMA firmare (ti/vpdma-1b8.bin)
  * ti-connectivity/TIInit_6.2.31.bts
  * ti-connectivity/TIInit_6.6.15.bts
  * ti-connectivity/TIInit_7.2.31.bts
  * TI WL1251 firmware (ti-connectivity/wl1251-fw.bin)
  * TI WL1251 reference NVS (ti-connectivity/wl1251-nvs.bin)
  * TI WL127x multi-role firmware, version 6.5.7.0.50
    (ti-connectivity/wl127x-fw-5-mr.bin)
  * TI WL127x PLT (calibration) firmware, version 6.3.10.0.142
    (ti-connectivity/wl127x-fw-5-plt.bin)
  * TI WL127x single-role firmware, version 6.3.10.0.142
    (ti-connectivity/wl127x-fw-5-sr.bin)
  * TI WL127x reference NVS (ti-connectivity/wl127x-nvs.bin,
    ti-connectivity/wl1271-nvs.bin, ti-connectivity/wl12xx-nvs.bin)
  * TI WL128x multi-role firmware, version 7.5.7.0.50
    (ti-connectivity/wl128x-fw-5-mr.bin)
  * TI WL128x PLT (calibration) firmware, version 7.3.10.2.142
    (ti-connectivity/wl128x-fw-5-plt.bin)
  * TI WL128x single-role firmware, version 7.3.10.0.142
    (ti-connectivity/wl128x-fw-5-sr.bin)
  * TI WL128x reference NVS (ti-connectivity/wl128x-nvs.bin)
  * TI WL18xx firmware, ABI 2 (ti-connectivity/wl18xx-fw-2.bin)
  * TI WL18xx firmware, ABI 3 (ti-connectivity/wl18xx-fw-3.bin)
  * TI WL18xx firmware, ABI 4, version 8.9.0.0.79
    (ti-connectivity/wl18xx-fw-4.bin)

Package: cpp-8-doc
Description-md5: 9123868d2a97a9b5893d5396e29669a8
Description-en: documentation for the GNU C preprocessor (cpp)
 This package contains manual pages and documentation in info, html,
 and pdf format, for the GNU C prerocessor.
 .
 This documentation is licensed under the terms of the GNU Free
 Documentation License, and contains invariant sections, so it can't be
 part of Debian main.

Package: gcc-8-doc
Description-md5: 4182102b274937b7fc65f9f4b1d76161
Description-en: documentation for the GNU compilers (gcc, gobjc, g++)
 This package contains manual pages and documentation in info, html,
 and pdf format, for the GNU compilers.
 .
 This documentation is licensed under the terms of the GNU Free
 Documentation License, and contains invariant sections, so it can't be
 part of Debian main.

Package: gccgo-8-doc
Description-md5: 109041cd54297009d2c59982a558d813
Description-en: documentation for the GNU Go compiler (gccgo)
 This package contains manual pages and documentation in info, html,
 and pdf format, for the GNU Go compiler.
 .
 This documentation is licensed under the terms of the GNU Free
 Documentation License, and contains invariant sections, so it can't be
 part of Debian main.

Package: gfortran-8-doc
Description-md5: 7b44864d64b40ea87d6b49f444aa7d43
Description-en: documentation for the GNU Fortran Compiler (gfortran)
 This package contains manual pages and documentation in info, html,
 and pdf format, for the GNU Fortran 95 compiler.
 .
 This documentation is licensed under the terms of the GNU Free
 Documentation License, and contains invariant sections, so it can't be
 part of Debian main.

Package: gnat-8-doc
Description-md5: 2262fa966dfbfb81e628d5e75442b335
Description-en: documentation for the GNU Ada Compiler (gnat)
 This package contains documentation in info, html, and pdf format, for
 the GNU Ada compiler.
 .
 This documentation is licensed under the terms of the GNU Free
 Documentation License, and contains invariant sections, so it can't be
 part of Debian main.

Package: hfsprogs
Description-md5: 2227b7676c8238af395d98e3c4d3e103
Description-en: mkfs and fsck for HFS and HFS+ file systems
 The HFS+ file system used by Apple Computer for their Mac OS is
 supported by the Linux kernel.  Apple provides mkfs and fsck for
 HFS+ with the Unix core of their operating system, Darwin.
 .
 This package is a port of Apple's tools for HFS+ filesystems.
 .
 For users, HFS+ seems to be a good compromise to carry files between
 MacOS X and Linux Machines, as HFS+ doesn't suffer the problems of
 FAT32 like:
 .
  * huge space waste (in slack space as devices grow faster);
  * ability to create files that are more than 4GB in size (especially
    good for those working with multimedia and that need to carry large
    ISO files);
  * ability to use case preserving (and even sensitivity!);
  * ability to use uid's and gid's on the filesystem.
 .
 Users in general can enjoy such benefits since it is expected to have
 more HFS+ filesystems in use, as Apple has announced Macintoshes for
 ix86-64, besides the filesystem being already supported by PowerPC
 systems since the beginning.

Package: intel-microcode
Description-md5: 3edb9824276886579313f0e847f6bb14
Description-en: Processor microcode firmware for Intel CPUs
 This package contains updated system processor microcode for
 Intel i686 and Intel X86-64 processors.  Intel releases microcode
 updates to correct processor behavior as documented in the
 respective processor specification updates.
 .
 For AMD processors, please refer to the amd64-microcode package.

Package: libaccinj64-11.2
Description-md5: 404daeb74b9a29243e00b395f84c5ada
Description-en: NVIDIA ACCINJ Library (64-bit)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 ACCINJ is the OpenACC internal library for profiling.
 .
 This package contains the 64-bit ACCINJ runtime library.

Package: libcublas11
Description-md5: 5d0c77d8f2c8429e53892a3a70d407c4
Description-en: NVIDIA cuBLAS Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The cuBLAS library is an implementation of BLAS (Basic Linear Algebra
 Subprograms) on top of the NVIDIA CUDA runtime. It allows the user to access
 the computational resources of NVIDIA Graphics Processing Unit (GPU), but
 does not auto-parallelize across multiple GPUs.
 .
 This package contains the cuBLAS runtime library.

Package: libcublaslt11
Description-md5: 785c52463c947123d690fd61ff5b3adb
Description-en: NVIDIA cuBLASLt Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The cuBLASLt library is a lightweight GEMM library with a flexible API and
 tensor core support for INT8 inputs and FP16 CGEMM split-complex matrix
 multiplication.
 .
 This package contains the cuBLASLt runtime library.

Package: libcudart11.0
Description-md5: d81acb8bf87762012a0607e71f8eff2e
Description-en: NVIDIA CUDA Runtime Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the CUDA Runtime API library for high-level CUDA
 programming, on top of the CUDA Driver API.

Package: libcufft10
Description-md5: 323d8bcdb5ce372c028cb925743b7ad1
Description-en: NVIDIA cuFFT Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The FFT is a divide-and-conquer algorithm for efficiently computing discrete
 Fourier transforms of complex or real-valued data sets. It is one of the most
 important and widely used numerical algorithms in computational physics and
 general signal processing. The cuFFT library provides a simple interface for
 computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the
 floating-point power and parallelism of the GPU in a highly optimized and
 tested FFT library.
 .
 This package contains the cuFFT runtime library.

Package: libcufftw10
Description-md5: 12b7b2ed306369c1f0fb326c4e9feefa
Description-en: NVIDIA cuFFTW Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The FFT is a divide-and-conquer algorithm for efficiently computing discrete
 Fourier transforms of complex or real-valued data sets. It is one of the most
 important and widely used numerical algorithms in computational physics and
 general signal processing. The cuFFT library provides a simple interface for
 computing FFTs on an NVIDIA GPU, which allows users to quickly leverage the
 floating-point power and parallelism of the GPU in a highly optimized and
 tested FFT library.
 .
 This package contains the cuFFTW runtime library.

Package: libcuinj64-11.2
Description-md5: 9eca092b41526faa574873e622a445e3
Description-en: NVIDIA CUINJ Library (64-bit)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 CUINJ is the CUDA internal library for profiling.
 .
 This package contains the 64-bit CUINJ runtime library.

Package: libcupti-dev
Description-md5: 49cdc8386d120bdf14c58bebe2b3388d
Description-en: NVIDIA CUDA Profiler Tools Interface development files
 The CUDA Profiler Tools Interface (CUPTI) enables the creation of
 profiling and tracing tools that target CUDA applications.  CUPTI
 provides a set of APIs targeted at ISVs creating profilers and other
 performance optimization tools. The CUPTI APIs are not intended to be
 used by developers in their CUDA applications.
 .
 This package contains the development files: headers and libraries.

Package: libcupti-doc
Description-md5: 0c6d9f272f89c82663423610515dd3eb
Description-en: NVIDIA CUDA Profiler Tools Interface documentation
 The CUDA Profiler Tools Interface (CUPTI) enables the creation of
 profiling and tracing tools that target CUDA applications.  CUPTI
 provides a set of APIs targeted at ISVs creating profilers and other
 performance optimization tools. The CUPTI APIs are not intended to be
 used by developers in their CUDA applications.
 .
 This package contains the documentation and examples.

Package: libcupti11.2
Description-md5: 65f2f1bea81316b239224ffd680c5064
Description-en: NVIDIA CUDA Profiler Tools Interface runtime library
 The CUDA Profiler Tools Interface (CUPTI) enables the creation of
 profiling and tracing tools that target CUDA applications.  CUPTI
 provides a set of APIs targeted at ISVs creating profilers and other
 performance optimization tools. The CUPTI APIs are not intended to be
 used by developers in their CUDA applications.
 .
 This package contains the runtime library.

Package: libcurand10
Description-md5: 05f7818fdfa9c23c51a9db2407910cae
Description-en: NVIDIA cuRAND Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The cuRAND library provides facilities that focus on the simple and efficient
 generation of high-quality pseudorandom and quasirandom numbers.
 A pseudorandom sequence of numbers satisfies most of the statistical
 properties of a truly random sequence but is generated by a deterministic
 algorithm. A quasirandom sequence of n-dimensional points is generated by a
 deterministic algorithm designed to fill an n-dimensional space evenly.
 .
 This package contains the cuRAND runtime library.

Package: libcusolver11
Description-md5: a30cfc560fa3fdce643526b0177ea7ba
Description-en: NVIDIA cuSOLVER Library
 The cuSOLVER library contains LAPACK-like functions in dense and sparse
 linear algebra, including linear solver, least-square solver and eigenvalue
 solver.
 .
 This package contains the cuSOLVER runtime library.

Package: libcusolvermg11
Description-md5: 6bd7798cc05ca17920d01c4430269d51
Description-en: NVIDIA cuSOLVERmg Library
 The cuSOLVER library contains LAPACK-like functions in dense and sparse
 linear algebra, including linear solver, least-square solver and eigenvalue
 solver.
 .
 This package contains the cuSOLVERmg runtime library.

Package: libcusparse11
Description-md5: 12835bf1c971845122d660784efe714a
Description-en: NVIDIA cuSPARSE Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The cuSPARSE library contains a set of basic linear algebra subroutines used
 for handling sparse matrices. It is implemented on top of the NVIDIA CUDA
 runtime and is designed to be called from C and C++. The library routines can
 be classified into four categories:
  * Level 1: operations between a vector in sparse format and a vector in dense
 format
  * Level 2: operations between a matrix in sparse format and a vector in dense
 format
  * Level 3: operations between a matrix in sparse format and a set of vectors
 in dense format
  * Conversion: operations that allow conversion between different matrix
 formats
 .
 This package contains the cuSPARSE runtime library.

Package: libnppc11
Description-md5: 371330c0e4596d14c1ae0b854eecfa9c
Description-en: NVIDIA Performance Primitives core runtime library
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.  The initial set offunctionality in the library focuses on imaging
 and video processing and is widely applicable for developers in these areas.
 NPP will evolve over time to encompass more of the compute heavy tasks in a
 variety of problem domains.  The NPP library is written to maximize
 flexibility, while maintaining high performance.
 .
 This package contains the NVIDIA Performance Primitives core runtime library.

Package: libnppial11
Description-md5: bedf7547f548db0fc00407b8bb5572af
Description-en: NVIDIA Performance Primitives lib for Image Arithmetic and Logic
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Arithmetic and Logic operations, which is a sub-library of nppi.

Package: libnppicc11
Description-md5: 5c43692beedf3cbda68cb3add3a2f55f
Description-en: NVIDIA Performance Primitives lib for Image Color Conversion
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Color and sampling Conversion, which is a sub-library of nppi.

Package: libnppidei11
Description-md5: 96ae21f243272a0c4cf855590b806f52
Description-en: NVIDIA Performance Primitives lib for Image Data Exchange and Initialization
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Data Exchange and Initialization, which is a sub-library of nppi.

Package: libnppif11
Description-md5: 25b0779ba1f9f488a81add47bc943c6a
Description-en: NVIDIA Performance Primitives lib for Image Filters
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Filters, which is a sub-library of nppi.

Package: libnppig11
Description-md5: 1f9ccb01fdd747cf6305e037d1c19323
Description-en: NVIDIA Performance Primitives lib for Image Geometry transforms
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Geometry transforms, which is a sub-library of nppi.

Package: libnppim11
Description-md5: f03f24db87826ca6b27a88b05bc823c0
Description-en: NVIDIA Performance Primitives lib for Image Morphological operations
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Morphological operations, which is a sub-library of nppi.

Package: libnppist11
Description-md5: c9507fd21beb3b0609afeb40e63f4792
Description-en: NVIDIA Performance Primitives lib for Image Statistics
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Statistics and Linear Transformation, which is a sub-library of nppi.

Package: libnppisu11
Description-md5: 37b8fa6ff382e1378e1a21c6d0074f80
Description-en: NVIDIA Performance Primitives lib for Image Support
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Support, which is a sub-library of nppi.

Package: libnppitc11
Description-md5: d1f0489937a1662cf9d2bf3e68764e1f
Description-en: NVIDIA Performance Primitives lib for Image Threshold and Compare
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 Image Threshold and Compare, which is a sub-library of nppi.

Package: libnpps11
Description-md5: 24aac8a47c80e58916c189d81d7a7714
Description-en: NVIDIA Performance Primitives for signal processing runtime library
 NVIDIA NPP is a library of functions for performing CUDA accelerated
 processing.  The initial set offunctionality in the library focuses on imaging
 and video processing and is widely applicable for developers in these areas.
 NPP will evolve over time to encompass more of the compute heavy tasks in a
 variety of problem domains.  The NPP library is written to maximize
 flexibility, while maintaining high performance.
 .
 This package contains the NVIDIA Performance Primitives runtime library for
 signal processing.

Package: libnvblas11
Description-md5: e77f7a1f1173b44f2910c8a51eff1d1c
Description-en: NVBLAS runtime library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The NVBLAS Library is a GPU-accelerated Library that implements BLAS (Basic
 Linear Algebra Subprograms). It can accelerate most BLAS Level-3 routines by
 dynamically routing BLAS calls to one or more NVIDIA GPUs present in the
 system, when the characteristics of the call make it to speedup on a GPU.

Package: libnvidia-ml-dev
Description-md5: 1a3cdb21304c933ce9becbb20eb9aa0f
Description-en: NVIDIA Management Library (NVML) development files
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 It provides a direct access to the queries and commands exposed via nvidia-smi.
 .
 This package contains the header file and depends on the driver-provided
 library.

Package: libnvjpeg11
Description-md5: 623ac7d33181f0192b9126244e553a5c
Description-en: NVIDIA JPEG library (nvJPEG)
 The nvJPEG 1.0 library provides high-performance, GPU accelerated JPEG
 decoding functionality for image formats commonly used in deep learning and
 hyperscale multimedia applications. The library offers single and batched JPEG
 decoding capabilities which efficiently utilize the available GPU resources
 for optimum performance; and the flexibility for users to manage the memory
 allocation needed for decoding.

Package: libnvrtc11.2
Description-md5: b1b9b1f5f271a283664f94ae0f1e94b4
Description-en: CUDA Runtime Compilation (NVIDIA NVRTC Library)
 CUDA Runtime Compilation library (nvrtc) provides an API to compile
 CUDA-C++ device source code at runtime.
 .
 The resulting compiled PTX can be launched on a GPU using the CUDA
 Driver API.
 .
 This package contains the NVRTC library.

Package: libnvtoolsext1
Description-md5: 301861470547d1207ee0ad56dfa1ef90
Description-en: NVIDIA Tools Extension Library
 The NVIDIA Tools Extension SDK (NVTX) is a C-based API for marking events and
 ranges in your applications. Applications which integrate NVTX can use Nsight
 to capture and visualize these events and ranges.
 .
 This package contains the NVIDIA Tools Extension runtime library.

Package: libnvvm4
Description-md5: 1efd5ade308f30b7de84c0430187211c
Description-en: NVIDIA NVVM Library
 NVIDIA's CUDA Compiler (NVCC) is based on the widely used LLVM open source
 compiler infrastructure.
 .
 The NVVM library is used by NVCC to compile CUDA binary code to run on NVIDIA
 GPUs.
 .
 This package contains the NVIDIA NVVM runtime library.

Package: nsight-compute
Description-md5: ae73c3bbcf7dbd4b9a83f57a09c0d8b3
Description-en: NVIDIA Nsight Compute
 NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications.
 It provides detailed performance metrics and API debugging via a user
 interface and command line tool. In addition, its baseline feature allows
 users to compare results within the tool. Nsight Compute provides a
 customizable and data-driven user interface and metric collection and can be
 extended with analysis scripts for post-processing results.

Package: nsight-compute-target
Description-md5: 63cc5f774d2e4cd2d5746e323baf9499
Description-en: NVIDIA Nsight Compute (target specific libraries)
 NVIDIA Nsight Compute is an interactive kernel profiler for CUDA applications.
 It provides detailed performance metrics and API debugging via a user
 interface and command line tool. In addition, its baseline feature allows
 users to compare results within the tool. Nsight Compute provides a
 customizable and data-driven user interface and metric collection and can be
 extended with analysis scripts for post-processing results.
 .
 This package contains the target specific libraries.

Package: nsight-systems
Description-md5: 07ace54e5beaed541842de61e76de614
Description-en: NVIDIA Nsight Systems
 NVIDIA Nsight Systems is a system-wide performance analysis tool designed to
 visualize an application’s algorithms, help you identify the largest
 opportunities to optimize, and tune to scale efficiently across any quantity
 or size of CPUs and GPUs; from large server to smallest SoCs.

Package: nsight-systems-target
Description-md5: 314a9e91087893dedfe9c4aa99b10e74
Description-en: NVIDIA Nsight Systems (target specific libraries)
 NVIDIA Nsight Systems is a system-wide performance analysis tool designed to
 visualize an application’s algorithms, help you identify the largest
 opportunities to optimize, and tune to scale efficiently across any quantity
 or size of CPUs and GPUs; from large server to smallest SoCs.
 .
 This package contains the target specific libraries.

Package: nvidia-cuda-dev
Description-md5: 23a17262479fe7daf1cae67727e949c7
Description-en: NVIDIA CUDA development files
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the development files: headers and libraries.

Package: nvidia-cuda-gdb
Description-md5: 03d8613224997399b5d081ffb05a91f3
Description-en: NVIDIA CUDA Debugger (GDB)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the cuda-gdb debugger.

Package: nvidia-cuda-toolkit
Description-md5: 4df65757189fdcbdcc50ffa97fccca02
Description-en: NVIDIA CUDA development toolkit
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the nvcc compiler and other tools needed for building
 CUDA applications.
 .
 Running CUDA applications requires a supported NVIDIA GPU and the NVIDIA
 driver kernel module.

Package: nvidia-cuda-toolkit-doc
Description-md5: 37628d7854344886d340076661277f47
Description-en: NVIDIA CUDA and OpenCL documentation
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 OpenCL (Open Computing Language) is a multi-vendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 Note that CUDA documentation is no longer bundled with CUDA toolkit releases.
 Visit https://docs.nvidia.com/cuda for the latest documentation on CUDA.

Package: nvidia-cuda-toolkit-gcc
Description-md5: 3fb666316ef4562383ecd8260bc3bc9f
Description-en: NVIDIA CUDA development toolkit (GCC compatibility)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package provides the /usr/bin/cuda-gcc, /usr/bin/cuda-g++ symlinks to
 simplify building packages that need to be built with a CUDA-compatible
 compiler.

Package: nvidia-opencl-dev
Description-md5: 5404c4fac54bb1c7a833b77f92a02e84
Description-en: NVIDIA OpenCL development files
 OpenCL (Open Computing Language) is a multi-vendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This metapackage provides the development files: headers and libraries.

Package: nvidia-openjdk-8-jre
Description-md5: 295c45af8d739220f91a54a86523e841
Description-en: Obsolete OpenJDK Java runtime, for NVIDIA applications
 Full Java runtime environment - needed for executing Java GUI and Webstart
 programs, using Hotspot JIT.
 .
 This package provides OpenJDK-8 JRE binaries built on Debian for use with
 the NVIDIA CUDA Toolkit. This obsolete version is needed for
 nvidia-visual-profiler.

Package: nvidia-profiler
Description-md5: 83d361c54427ed94d5493552d5ade11b
Description-en: NVIDIA Profiler for CUDA and OpenCL
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 OpenCL (Open Computing Language) is a multi-vendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package contains the nvprof profiler.

Package: nvidia-visual-profiler
Description-md5: c762f649b112cccddd5b9e96863b94c7
Description-en: NVIDIA Visual Profiler for CUDA and OpenCL
 The NVIDIA Visual Profiler is a cross-platform performance profiling tool
 that delivers developers vital feedback for optimizing CUDA C/C++ and OpenCL
 applications.

Package: libcuda1
Description-md5: 72a9c892bbee8e9b5d3e22a50f5c2e05
Description-en: NVIDIA CUDA Driver Library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the CUDA Driver API library for low-level CUDA
 programming.
 .
 Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
 series, as well as the Tesla computing processors.
 .
 Please see the nvidia-kernel-dkms or
 nvidia-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-kernel-470.141.03.

Package: libegl-nvidia0
Description-md5: 2606f210b69a7afade1df300e773e837
Description-en: NVIDIA binary EGL library
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 See the description of the nvidia-driver package
 or /usr/share/doc/libgl1-nvidia-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary EGL implementation provided
 by NVIDIA that is accessed via GLVND.

Package: libgl1-nvidia-glvnd-glx
Description-md5: f5610f89ce121e1802305d9a3d330565
Description-en: NVIDIA binary OpenGL/GLX library (GLVND variant)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 See the description of the nvidia-driver package
 or /usr/share/doc/libgl1-nvidia-glvnd-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This metapackage depends on the NVIDIA binary OpenGL/GLX implementation using
 GLVND and the corresponding GLVND loader library.

Package: libgles-nvidia1
Description-md5: 555def88414f46d44a7552c4b950ed5e
Description-en: NVIDIA binary OpenGL|ES 1.x library
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 1.x provides an API for fixed-function hardware.
 .
 See the description of the nvidia-driver package
 or /usr/share/doc/libgl1-nvidia-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 1.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libgles-nvidia2
Description-md5: 2ab41620403f7c2fb60970103d41e55b
Description-en: NVIDIA binary OpenGL|ES 2.x library
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 2.x provides an API for programmable hardware including vertex
 and fragment shaders.
 .
 See the description of the nvidia-driver package
 or /usr/share/doc/libgl1-nvidia-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 2.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libglx-nvidia0
Description-md5: ce379c987bbb78e30edc487761a62221
Description-en: NVIDIA binary GLX library
 GLX ("OpenGL Extension to the X Window System") provides an interface between
 OpenGL and the X Window System as well as extensions to OpenGL itself.
 .
 See the description of the nvidia-driver package
 or /usr/share/doc/libgl1-nvidia-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary GLX implementation by NVIDIA
 that is accessed via GLVND.

Package: libnvcuvid1
Description-md5: d9966c2df4b73cef90a50ffc930d1c5c
Description-en: NVIDIA CUDA Video Decoder runtime library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to
 hardware video decoding capabilities on NVIDIA GPUs with CUDA.
 .
 This package contains the nvcuvid runtime library.

Package: libnvidia-allocator1
Description-md5: 4aa0c57c9f87cb2fccbfbec438abcd19
Description-en: NVIDIA allocator runtime library
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private nvidia-allocator runtime library.

Package: libnvidia-cbl
Description-md5: e9813353b6df84c524f4a3f2403ac35b
Description-en: NVIDIA binary Vulkan ray tracing (cbl) library
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private cbl library used by the NVIDIA
 implementation of Vulkan.

Package: libnvidia-cfg1
Description-md5: 7dce7edcd194e980223937b38f49e8b9
Description-en: NVIDIA binary OpenGL/GLX configuration library
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the libnvidia-cfg.so.1 runtime library.

Package: libnvidia-compiler
Description-md5: e3bbac6ba5c7d6fa67ed3c17cc15718a
Description-en: NVIDIA runtime compiler library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime compiler library.

Package: libnvidia-eglcore
Description-md5: 77f4911a3ecf14f3670337606e22e0a3
Description-en: NVIDIA binary EGL core libraries
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of EGL and OpenGL|ES.

Package: libnvidia-encode1
Description-md5: 21b4191ea88e49a7e948a2b89cfed901
Description-en: NVENC Video Encoding runtime library
 The NVENC Video Encoding library provides an interface to video encoder
 hardware on supported NVIDIA GPUs.
 .
 This package contains the nvidia-encode runtime library.

Package: libnvidia-fbc1
Description-md5: 19123a53d351a2e540ca869d1e74f9d2
Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library
 The NVIDIA OpenGL-based Framebuffer Capture (NvFBCOpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvFBCOpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvFBCOpenGL runtime library.

Package: libnvidia-glcore
Description-md5: 68cd652814642e8dfbd57042c30021b6
Description-en: NVIDIA binary OpenGL/GLX core libraries
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of OpenGL and GLX.

Package: libnvidia-glvkspirv
Description-md5: 66e20b087609564268b47e903baff1b5
Description-en: NVIDIA binary Vulkan Spir-V compiler library
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library provides a NVIDIA Vulkan Spir-V compiler which reduces shader
 compilation time and shader system memory consumption.
 .
 This package contains the private Spir-V compiler libraries used by the
 NVIDIA implementation of Vulkan.

Package: libnvidia-ifr1
Description-md5: ed00f275619e715136fe0176e6f7fd69
Description-en: NVIDIA OpenGL-based Inband Frame Readback runtime library
 The NVIDIA OpenGL-based Inband Frame Readback (NvIFROpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvIFROpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvIFROpenGL runtime library.

Package: libnvidia-ml1
Description-md5: eab021537b152fcedb35b51d1a3ddb34
Description-en: NVIDIA Management Library (NVML) runtime library
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 It provides a direct access to the queries and commands exposed via nvidia-smi.
 .
 This package contains the nvidia-ml runtime library.

Package: libnvidia-ngx1
Description-md5: cbc0e7c1dd410a92386733206fc0fa3f
Description-en: NVIDIA NGX runtime library
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the NVIDIA NGX runtime library.

Package: libnvidia-nvvm4
Description-md5: 707487927d91b1fd88e07fa712789ee8
Description-en: NVIDIA NVVM Compiler library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the NVVM Compiler library.

Package: libnvidia-opticalflow1
Description-md5: b6321ff988bec29959f6c49e060abf1d
Description-en: NVIDIA Optical Flow runtime library
 The NVIDIA Optical Flow SDK exposes the latest hardware capability of Turing
 GPUs dedicated to computing the relative motion of pixels between images.
 .
 This package contains the Optical Flow runtime library.

Package: libnvidia-ptxjitcompiler1
Description-md5: 93cc113f54f51767c65e3416fc05b76f
Description-en: NVIDIA PTX JIT Compiler library
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime PTX JIT Compiler library.

Package: libnvidia-rtcore
Description-md5: cfcfd031f6c6978d63aacfbaa60e8f09
Description-en: NVIDIA binary Vulkan ray tracing (rtcore) library
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private rtcore library used by the NVIDIA
 implementation of Vulkan.

Package: libnvoptix1
Description-md5: c49d57f8e36ee7ea703ea9eb0e1ed3a3
Description-en: NVIDIA implementation of the OptiX ray tracing engine
 The OptiX API is an application framework for achieving optimal ray tracing
 performance on the GPU.
 .
 This package contains runtime library of the OptiX ray tracing engine
 implementation for NVIDIA CUDA.
 It is used by liboptix.so.* coming with applications using the OptiX API.

Package: nvidia-alternative
Description-md5: 43dd859f350d9c1c1f144ab08a1977f6
Description-en: allows the selection of NVIDIA as GLX provider
 In setups with several NVIDIA driver versions installed (e.g. current and
 legacy) this metapackage registers an alternative to allow easy switching
 between the different versions.
 .
 Use 'update-glx --config nvidia' to select a version.
 .
 This package does not depend on the corresponding NVIDIA libraries.
 In order to install the NVIDIA driver and libraries, install the
 nvidia-driver package instead.

Package: nvidia-detect
Description-md5: de5fef6c52e28939c7bdfe2f953b580c
Description-en: NVIDIA GPU detection utility
 The 'nvidia-detect' script in this package checks for an NVIDIA GPU in the
 system and recommends one of the non-free accelerated driver meta-packages
 (nvidia-driver, nvidia-tesla-470-driver,
 nvidia-tesla-450-driver, nvidia-tesla-418-driver,
 or nvidia-legacy-390xx-driver) for installation.

Package: nvidia-driver
Description-md5: ef472c126821d775ebf358512aedd0b3
Description-en: NVIDIA metapackage
 This metapackage depends on the NVIDIA binary driver and libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES/Vulkan applications via a direct-rendering X Server.
 .
 Please see the nvidia-kernel-dkms or
 nvidia-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-kernel-470.141.03.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 Building the kernel module has been tested up to Linux 5.19.

Package: nvidia-driver-bin
Description-md5: d0118daed7fe8c1a550944b8cecc8a53
Description-en: NVIDIA driver support binaries
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains supporting binaries for the driver.

Package: nvidia-driver-libs
Description-md5: 316d7881efd72c30ac3f0e1720998a13
Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries)
 This metapackage depends on the NVIDIA binary libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.

Package: nvidia-egl-common
Description-md5: fed2d098ae63a755a343fdf61c591389
Description-en: NVIDIA binary EGL driver - common files
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 This package provides the common files for the NVIDIA installable client
 driver (ICD) for EGL via GLVND.

Package: nvidia-egl-icd
Description-md5: 48bb1c6fd6391aad335bab10bc4ab1eb
Description-en: NVIDIA EGL installable client driver (ICD)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 EGL via GLVND which supports NVIDIA GPUs.

Package: nvidia-kernel-dkms
Description-md5: 76e970f56e1ee4a26c32c03eec6cee84
Description-en: NVIDIA binary kernel module DKMS source
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-kernel-dkms
Description-md5: ca1eaac976f13c7ae854d7670c104f24
Description-en: NVIDIA binary kernel module DKMS source
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-kernel-source
Description-md5: 42d2e5ac8c10c2c91997271c510bb420
Description-en: NVIDIA binary kernel module source
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-kernel-dkms instead.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-kernel-source
Description-md5: fde4c155520225707c54022c43e77fae
Description-en: NVIDIA binary kernel module source
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-kernel-dkms instead.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-kernel-support
Description-md5: 8792dd43882b8dd916f141a2ea5a842a
Description-en: NVIDIA binary kernel module support files
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package provides supporting configuration for the kernel module.

Package: nvidia-legacy-check
Description-md5: b9b67894f32dc3ae82000edbc4af6cb2
Description-en: check for NVIDIA GPUs requiring a legacy driver
 This package checks whether the system contains NVIDIA GPUs that are no longer
 supported by the main driver line and require a legacy driver.
 .
 If such hardware is present, a (preseedable) debconf question will be asked to
 confirm the installation of the current driver line.

Package: nvidia-libopencl1
Description-md5: cb4d24bd3fb20036c8903da079bf3b0c
Description-en: NVIDIA OpenCL ICD Loader library
 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 The OpenCL installable client driver loader (ICD Loader) acts as a dispatcher
 between an OpenCL application and one (or more) installable client drivers
 (ICD) that can be from any vendor. At least one ICD (and the corresponding
 hardware) is required to run OpenCL applications.
 .
 This package contains the ICD Loader library provided by NVIDIA. This library
 supports OpenCL 1.x and 2.0 only.

Package: nvidia-nonglvnd-vulkan-common
Description-md5: 03b8acfde5cb1717f9aa067248e0cbc3
Description-en: NVIDIA Vulkan driver - common files (non-GLVND variant)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This package provides the common files for the NVIDIA installable client
 driver (ICD) for Vulkan (non-GLVND variant).

Package: nvidia-opencl-common
Description-md5: 72502d83403cf0ff0374f5b07acbf529
Description-en: NVIDIA OpenCL driver - common files
 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package provides the common files for the NVIDIA installable client
 driver (ICD) for OpenCL.

Package: nvidia-opencl-icd
Description-md5: bfa09353d5ecc3ff3512f7d9ba15ada7
Description-en: NVIDIA OpenCL installable client driver (ICD)
 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package provides the NVIDIA installable client driver (ICD) for OpenCL
 which supports NVIDIA GPUs. This ICD supports OpenCL 1.x only.

Package: nvidia-smi
Description-md5: b173d400cbd92c511f6abb1c18284f04
Description-en: NVIDIA System Management Interface
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 The application "nvidia-smi" is the NVIDIA System Management Interface (NVSMI)
 and provides a command line interface to this functionality.
 .
 See the output from the --help command line option for supported models and
 further information.

Package: nvidia-vdpau-driver
Description-md5: 96b80847c72eaf7aa8d88b71a6783498
Description-en: Video Decode and Presentation API for Unix - NVIDIA driver
 These libraries provide the Video Decode and Presentation API for Unix.
 They provide accelerated video playback (incl. H.264) for the supported
 graphics cards.
 .
 This package contains the NVIDIA VDPAU driver.
 .
 See /usr/share/doc/nvidia-vdpau-driver/README.txt.gz
 for more information.
 .
 Please see the nvidia-kernel-dkms or
 nvidia-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-kernel-470.141.03.

Package: nvidia-vulkan-common
Description-md5: 89971dfca7826f5f08811a7f718f7529
Description-en: NVIDIA Vulkan driver - common files
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This package provides the common files for the NVIDIA installable client
 driver (ICD) for Vulkan (GLVND variant).

Package: nvidia-vulkan-icd
Description-md5: d104ec0a3dbcaf5f512b3217367c796e
Description-en: NVIDIA Vulkan installable client driver (ICD)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 Vulkan (GLVND variant) which supports NVIDIA GPUs.

Package: xserver-xorg-video-nvidia
Description-md5: f3cf586de2cb9ef6e10c4c32a1ff64b2
Description-en: NVIDIA binary Xorg driver
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 Please see the nvidia-kernel-dkms or
 nvidia-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-kernel-470.141.03.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

Package: libegl1-nvidia-legacy-340xx
Description-md5: f55dd888265c04b63c19b5389ccc4e06
Description-en: NVIDIA binary EGL library (340xx legacy version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 See the description of the nvidia-legacy-340xx-driver package
 or /usr/share/doc/libgl1-nvidia-legacy-340xx-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary EGL implementation provided
 by NVIDIA.

Package: libgl1-nvidia-legacy-340xx-glx
Description-md5: 16960e5e9ca29ff3706d2a475dae32d7
Description-en: NVIDIA binary OpenGL/GLX library (340xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 See the description of the nvidia-legacy-340xx-driver package
 or /usr/share/doc/libgl1-nvidia-legacy-340xx-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL/GLX implementation
 provided by NVIDIA.

Package: libgles1-nvidia-legacy-340xx
Description-md5: b3354e66c3f74bfb5fa7ffe3ff78fafd
Description-en: NVIDIA binary OpenGL|ES 1.x library (340xx legacy version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 1.x provides an API for fixed-function hardware.
 .
 See the description of the nvidia-legacy-340xx-driver package
 or /usr/share/doc/libgl1-nvidia-legacy-340xx-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

Package: libgles2-nvidia-legacy-340xx
Description-md5: 366c25dde251a24f4f6dc1689b4e29df
Description-en: NVIDIA binary OpenGL|ES 2.x library (340xx legacy version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 2.x provides an API for programmable hardware including vertex
 and fragment shaders.
 .
 See the description of the nvidia-legacy-340xx-driver package
 or /usr/share/doc/libgl1-nvidia-legacy-340xx-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

Package: libnvidia-legacy-340xx-cfg1
Description-md5: 220dfbc200cecae454e028f89ed4cf9c
Description-en: NVIDIA binary OpenGL/GLX configuration library (340xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the libnvidia-cfg.so.1 runtime library.

Package: libnvidia-legacy-340xx-compiler
Description-md5: 531dd64c9e2ad401a2c4c9c67c79e85a
Description-en: NVIDIA runtime compiler library (340xx legacy version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime compiler library.

Package: libnvidia-legacy-340xx-cuda1
Description-md5: ed2c8838c769128b0c119ca571946794
Description-en: NVIDIA CUDA Driver Library (340xx legacy version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the CUDA Driver API library for low-level CUDA
 programming.
 .
 Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
 series, as well as the Tesla computing processors.
 .
 Please see the nvidia-legacy-340xx-kernel-dkms or
 nvidia-legacy-340xx-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-legacy-340xx-kernel-340.108.

Package: libnvidia-legacy-340xx-cuda1-i386
Description-md5: 96708f2d6e4429b2a400f96c95c15ef6
Description-en: NVIDIA CUDA 32-bit runtime library (340xx legacy version)
 This metapackage helps the automatic installation of the 32-bit NVIDIA CUDA
 library when installing libnvidia-legacy-340xx-cuda1 on amd64 with foreign
 architecture i386 enabled.

Package: libnvidia-legacy-340xx-eglcore
Description-md5: 3f2b5082f7a0c5a983be4c6c49c5b3b5
Description-en: NVIDIA binary EGL core libraries (340xx legacy version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of EGL and OpenGL|ES.

Package: libnvidia-legacy-340xx-encode1
Description-md5: d4e58b15bd9e2c109caaec967e5eb2be
Description-en: NVENC Video Encoding runtime library (340xx legacy version)
 The NVENC Video Encoding library provides an interface to video encoder
 hardware on supported NVIDIA GPUs.
 .
 This package contains the nvidia-encode runtime library.

Package: libnvidia-legacy-340xx-fbc1
Description-md5: 3cb289f41728b68abef00663eac56dd6
Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library (340xx legacy version)
 The NVIDIA OpenGL-based Framebuffer Capture (NvFBCOpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvFBCOpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvFBCOpenGL runtime library.

Package: libnvidia-legacy-340xx-glcore
Description-md5: fd34566d605915ba5f6ae0d09f655e1d
Description-en: NVIDIA binary OpenGL/GLX core libraries (340xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of OpenGL and GLX.

Package: libnvidia-legacy-340xx-ifr1
Description-md5: f6f071c1032a8d6f7758071f8bbc2795
Description-en: NVIDIA OpenGL-based Inband Frame Readback runtime library (340xx legacy)
 The NVIDIA OpenGL-based Inband Frame Readback (NvIFROpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvIFROpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvIFROpenGL runtime library.

Package: libnvidia-legacy-340xx-ml1
Description-md5: 1c99eafb1561ba89592577b50f35e299
Description-en: NVIDIA Management Library (NVML) runtime library (340xx legacy version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 It provides a direct access to the queries and commands exposed via nvidia-smi.
 .
 This package contains the nvidia-ml runtime library.

Package: libnvidia-legacy-340xx-nvcuvid1
Description-md5: 474bdda4dbf8122a10c22962ac2c9af5
Description-en: NVIDIA CUDA Video Decoder runtime library (340xx legacy version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to
 hardware video decoding capabilities on NVIDIA GPUs with CUDA.
 .
 This package contains the nvcuvid runtime library.

Package: nvidia-legacy-340xx-alternative
Description-md5: ed0fbaf50ff32b8fc69f2368fdd32e90
Description-en: allows the selection of NVIDIA as GLX provider (340xx legacy version)
 In setups with several NVIDIA driver versions installed (e.g. current and
 legacy) this metapackage registers an alternative to allow easy switching
 between the different versions.
 .
 Use 'update-glx --config nvidia' to select a version.
 .
 This package does not depend on the corresponding NVIDIA libraries.
 In order to install the NVIDIA driver and libraries, install the
 nvidia-legacy-340xx-driver package instead.

Package: nvidia-legacy-340xx-driver
Description-md5: f5ca6768b801928a54109cacad439193
Description-en: NVIDIA metapackage (340xx legacy version)
 This metapackage depends on the NVIDIA binary driver and libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.
 .
 Please see the nvidia-legacy-340xx-kernel-dkms or
 nvidia-legacy-340xx-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-legacy-340xx-kernel-340.108.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 205 [GT218], GeForce 210 [GT216], GeForce 210 [GT218],
 GeForce 305M [GT218M], GeForce 310 [GT218], GeForce 310M [GT218M],
 GeForce 315 [GT216], GeForce 315 [GT218], GeForce 315M [GT218M],
 GeForce 320M [MCP89], GeForce 405 [GT216], GeForce 405 [GT218],
 GeForce 8100 [C77], GeForce 8200 [C77], GeForce 8200M [C77],
 GeForce 8200M G [C77], GeForce 8200M G [MCP79], GeForce 8300 [C77],
 GeForce 8300 GS [G84], GeForce 8300 GS [G86], GeForce 8300 GS [G98],
 GeForce 8400 [G98], GeForce 8400 GS [G84], GeForce 8400 GS [G86],
 GeForce 8400 GS Rev. 2 [G98], GeForce 8400 GS Rev. 3 [GT218],
 GeForce 8400 SE [G86], GeForce 8400M G [G86M], GeForce 8400M GS [G86M],
 GeForce 8400M GT [G86M], GeForce 8500 GT [G86], GeForce 8600 GS [G84],
 GeForce 8600 GT [G84], GeForce 8600 GTS [G84], GeForce 8600M GS [G86M],
 GeForce 8600M GT [G84M], GeForce 8700M GT [G84M], GeForce 8800 GS [G92],
 GeForce 8800 GT [G92], GeForce 8800 GTS [G80], GeForce 8800 GTS 512 [G92],
 GeForce 8800 GTX [G80], GeForce 8800 Ultra [G80], GeForce 8800M GTS [G92M],
 GeForce 8800M GTX [G92M], GeForce 9100 [C78], GeForce 9100M G [C77],
 GeForce 9100M G [C79], GeForce 9200 [C77], GeForce 9200 [C79],
 GeForce 9200M GS [G98M], GeForce 9300 [C79], GeForce 9300/ION [C79],
 GeForce 9300 GE [G98], GeForce 9300 GS [G98], GeForce 9300 GS Rev. 2 [GT218],
 GeForce 9300 SE [G98], GeForce 9300M G [G86M], GeForce 9300M GS [G98M],
 GeForce 9400 [C79], GeForce 9400 [MCP7A], GeForce 9400 GT [G86],
 GeForce 9400 GT [G96], GeForce 9400M [C79], GeForce 9400M [ION VGA],
 GeForce 9400M G [C79], GeForce 9500 GS [G96], GeForce 9500 GT [G96],
 GeForce 9500M G [G96M], GeForce 9500M GS [G84M], GeForce 9600 GS [G94],
 GeForce 9600 GSO 512 [G94], GeForce 9600 GSO [G92], GeForce 9600 GSO [G94],
 GeForce 9600 GT [G94], GeForce 9600M GS [G96M], GeForce 9600M GT [G96M],
 GeForce 9650 S [G96], GeForce 9650M GS [G84M], GeForce 9650M GT [G96M],
 GeForce 9700M GT [G96M], GeForce 9700M GTS [G94M], GeForce 9800 GT [G92],
 GeForce 9800 GTX [G92], GeForce 9800 GTX+ [G92], GeForce 9800 GX2 [G92],
 GeForce 9800M GS [G94M], GeForce 9800M GT [G92M], GeForce 9800M GTS [G94M],
 GeForce 9800M GTX [G92M], GeForce G 100 [G98], GeForce G 102M [C79],
 GeForce G 103M [G98M], GeForce G 105M [G98M], GeForce G 105M [GT218M],
 GeForce G 110M [G96M], GeForce G 210 [GT218], GeForce G 210M [GT218M],
 GeForce GT 120 [G96], GeForce GT 120M [G96M], GeForce GT 130 [G94],
 GeForce GT 130M [G96M], GeForce GT 140 [G94], GeForce GT 220 [GT215],
 GeForce GT 220 [GT216], GeForce GT 220/315 [GT215], GeForce GT 220M [G96M],
 GeForce GT 230 OEM [G92], GeForce GT 230 [G94], GeForce GT 230M [GT216M],
 GeForce GT 240 [GT215], GeForce GT 240M [GT216M], GeForce GT 320 [GT215],
 GeForce GT 320M [GT216M], GeForce GT 325M [GT216M], GeForce GT 330 [G92],
 GeForce GT 330 [GT215], GeForce GT 330M [GT216M], GeForce GT 335M [GT215M],
 GeForce GT 340 [GT215], GeForce GT 415 [GT216], GeForce GTS 150M [G94M],
 GeForce GTS 160M [G94M], GeForce GTS 240 [G92], GeForce GTS 250 [G92],
 GeForce GTS 250M [GT215M], GeForce GTS 260M [GT215M],
 GeForce GTS 350M [GT215M], GeForce GTS 360M [GT215M],
 GeForce GTX 260 [GT200], GeForce GTX 260M [G92M], GeForce GTX 275 [GT200b],
 GeForce GTX 280 [GT200], GeForce GTX 280M [G92M], GeForce GTX 285 [GT200b],
 GeForce GTX 285M [G92M], GeForce GTX 295 [GT200], GeForce GTX 295 [GT200b],
 HICx16 + Graphics [G98], ION VGA, ION LE VGA, ION [C79], ION [GT218],
 ION 2 [GT218], NVS 300 [GT218], NVS 2100M [GT218M], NVS 3100M [GT218M],
 NVS 5100M [GT216M], Quadro 400 [GT216GL], Quadro CX [GT200GL],
 Quadro FX 360M [G86GLM], Quadro FX 370 [G84GL], Quadro FX 370 LP [G98GL],
 Quadro FX 370M [G98GLM], Quadro FX 380 [G96GL], Quadro FX 380 LP [GT218GL],
 Quadro FX 380M [GT218GLM], Quadro FX 570 [G84GL], Quadro FX 570M [G84GLM],
 Quadro FX 580 [G96GL], Quadro FX 770M [G96GLM], Quadro FX 880M [GT216GLM],
 Quadro FX 1600M [G84GLM], Quadro FX 1700 [G84GL], Quadro FX 1700M [G96GLM],
 Quadro FX 1800 [G94GL], Quadro FX 1800M [GT215GLM], Quadro FX 2700M [G94GLM],
 Quadro FX 2800M [G92GLM], Quadro FX 3600M [G92GLM], Quadro FX 3700 [G92GL],
 Quadro FX 3700M [G92GLM], Quadro FX 3800 [GT200GL], Quadro FX 3800M [G92GLM],
 Quadro FX 4600 [G80GL], Quadro FX 4700 X2 [G92GL], Quadro FX 4800 [GT200GL],
 Quadro FX 5600 [G80GL], Quadro FX 5800 [GT200GL], Quadro NVS 130M [G86M],
 Quadro NVS 135M [G86M], Quadro NVS 140M [G86M], Quadro NVS 150M [G98M],
 Quadro NVS 160M [G98M], Quadro NVS 290 [G86], Quadro NVS 295 [G98],
 Quadro NVS 320M [G84GLM], Quadro NVS 420 [G98], Quadro NVS 450 [G98],
 Quadro Plex 2200 D2 [GT200GL], Quadro Plex 2200 S4 [GT200GL],
 Quadro VX 200 [G92GL], Tesla C870 [G80GL], Tesla C1060 [GT200GL],
 Tesla M1060 [GT200GL], nForce 720a [C77], nForce 730a [C77],
 nForce 730i [C79], nForce 750a SLI [C77], nForce 760i SLI [C79],
 nForce 780a SLI [C77], nForce 980a SLI [C77], GRID K1 [GK107GL],
 GRID K2 [GK104GL], GRID K340 [GK107GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-340xx-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 Building the kernel module has been tested up to Linux 5.10.

Package: nvidia-legacy-340xx-driver-bin
Description-md5: 899ba203b7f9424591d7d61305b58b5e
Description-en: NVIDIA driver support binaries (340xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains supporting binaries for the driver.

Package: nvidia-legacy-340xx-driver-libs
Description-md5: ab9f1cc825a3102b45fcccc577ded83b
Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries) (340xx legacy version)
 This metapackage depends on the NVIDIA binary libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.

Package: nvidia-legacy-340xx-driver-libs-i386
Description-md5: 117969805d648d2a5223f9a3d19b49fd
Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES 32-bit libraries) (340xx legacy)
 This metapackage helps the automatic installation of the 32-bit NVIDIA
 OpenGL/GLX/EGL/GLES libraries when installing nvidia-legacy-340xx-driver-libs
 on amd64 with foreign architecture i386 enabled.

Package: nvidia-legacy-340xx-kernel-dkms
Description-md5: 1af99d878c252ab9fd35e88a827abf0e
Description-en: NVIDIA binary kernel module DKMS source (340xx legacy version)
 This package builds the NVIDIA Xorg binary kernel module needed by
 nvidia-legacy-340xx-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 205 [GT218], GeForce 210 [GT216], GeForce 210 [GT218],
 GeForce 305M [GT218M], GeForce 310 [GT218], GeForce 310M [GT218M],
 GeForce 315 [GT216], GeForce 315 [GT218], GeForce 315M [GT218M],
 GeForce 320M [MCP89], GeForce 405 [GT216], GeForce 405 [GT218],
 GeForce 8100 [C77], GeForce 8200 [C77], GeForce 8200M [C77],
 GeForce 8200M G [C77], GeForce 8200M G [MCP79], GeForce 8300 [C77],
 GeForce 8300 GS [G84], GeForce 8300 GS [G86], GeForce 8300 GS [G98],
 GeForce 8400 [G98], GeForce 8400 GS [G84], GeForce 8400 GS [G86],
 GeForce 8400 GS Rev. 2 [G98], GeForce 8400 GS Rev. 3 [GT218],
 GeForce 8400 SE [G86], GeForce 8400M G [G86M], GeForce 8400M GS [G86M],
 GeForce 8400M GT [G86M], GeForce 8500 GT [G86], GeForce 8600 GS [G84],
 GeForce 8600 GT [G84], GeForce 8600 GTS [G84], GeForce 8600M GS [G86M],
 GeForce 8600M GT [G84M], GeForce 8700M GT [G84M], GeForce 8800 GS [G92],
 GeForce 8800 GT [G92], GeForce 8800 GTS [G80], GeForce 8800 GTS 512 [G92],
 GeForce 8800 GTX [G80], GeForce 8800 Ultra [G80], GeForce 8800M GTS [G92M],
 GeForce 8800M GTX [G92M], GeForce 9100 [C78], GeForce 9100M G [C77],
 GeForce 9100M G [C79], GeForce 9200 [C77], GeForce 9200 [C79],
 GeForce 9200M GS [G98M], GeForce 9300 [C79], GeForce 9300/ION [C79],
 GeForce 9300 GE [G98], GeForce 9300 GS [G98], GeForce 9300 GS Rev. 2 [GT218],
 GeForce 9300 SE [G98], GeForce 9300M G [G86M], GeForce 9300M GS [G98M],
 GeForce 9400 [C79], GeForce 9400 [MCP7A], GeForce 9400 GT [G86],
 GeForce 9400 GT [G96], GeForce 9400M [C79], GeForce 9400M [ION VGA],
 GeForce 9400M G [C79], GeForce 9500 GS [G96], GeForce 9500 GT [G96],
 GeForce 9500M G [G96M], GeForce 9500M GS [G84M], GeForce 9600 GS [G94],
 GeForce 9600 GSO 512 [G94], GeForce 9600 GSO [G92], GeForce 9600 GSO [G94],
 GeForce 9600 GT [G94], GeForce 9600M GS [G96M], GeForce 9600M GT [G96M],
 GeForce 9650 S [G96], GeForce 9650M GS [G84M], GeForce 9650M GT [G96M],
 GeForce 9700M GT [G96M], GeForce 9700M GTS [G94M], GeForce 9800 GT [G92],
 GeForce 9800 GTX [G92], GeForce 9800 GTX+ [G92], GeForce 9800 GX2 [G92],
 GeForce 9800M GS [G94M], GeForce 9800M GT [G92M], GeForce 9800M GTS [G94M],
 GeForce 9800M GTX [G92M], GeForce G 100 [G98], GeForce G 102M [C79],
 GeForce G 103M [G98M], GeForce G 105M [G98M], GeForce G 105M [GT218M],
 GeForce G 110M [G96M], GeForce G 210 [GT218], GeForce G 210M [GT218M],
 GeForce GT 120 [G96], GeForce GT 120M [G96M], GeForce GT 130 [G94],
 GeForce GT 130M [G96M], GeForce GT 140 [G94], GeForce GT 220 [GT215],
 GeForce GT 220 [GT216], GeForce GT 220/315 [GT215], GeForce GT 220M [G96M],
 GeForce GT 230 OEM [G92], GeForce GT 230 [G94], GeForce GT 230M [GT216M],
 GeForce GT 240 [GT215], GeForce GT 240M [GT216M], GeForce GT 320 [GT215],
 GeForce GT 320M [GT216M], GeForce GT 325M [GT216M], GeForce GT 330 [G92],
 GeForce GT 330 [GT215], GeForce GT 330M [GT216M], GeForce GT 335M [GT215M],
 GeForce GT 340 [GT215], GeForce GT 415 [GT216], GeForce GTS 150M [G94M],
 GeForce GTS 160M [G94M], GeForce GTS 240 [G92], GeForce GTS 250 [G92],
 GeForce GTS 250M [GT215M], GeForce GTS 260M [GT215M],
 GeForce GTS 350M [GT215M], GeForce GTS 360M [GT215M],
 GeForce GTX 260 [GT200], GeForce GTX 260M [G92M], GeForce GTX 275 [GT200b],
 GeForce GTX 280 [GT200], GeForce GTX 280M [G92M], GeForce GTX 285 [GT200b],
 GeForce GTX 285M [G92M], GeForce GTX 295 [GT200], GeForce GTX 295 [GT200b],
 HICx16 + Graphics [G98], ION VGA, ION LE VGA, ION [C79], ION [GT218],
 ION 2 [GT218], NVS 300 [GT218], NVS 2100M [GT218M], NVS 3100M [GT218M],
 NVS 5100M [GT216M], Quadro 400 [GT216GL], Quadro CX [GT200GL],
 Quadro FX 360M [G86GLM], Quadro FX 370 [G84GL], Quadro FX 370 LP [G98GL],
 Quadro FX 370M [G98GLM], Quadro FX 380 [G96GL], Quadro FX 380 LP [GT218GL],
 Quadro FX 380M [GT218GLM], Quadro FX 570 [G84GL], Quadro FX 570M [G84GLM],
 Quadro FX 580 [G96GL], Quadro FX 770M [G96GLM], Quadro FX 880M [GT216GLM],
 Quadro FX 1600M [G84GLM], Quadro FX 1700 [G84GL], Quadro FX 1700M [G96GLM],
 Quadro FX 1800 [G94GL], Quadro FX 1800M [GT215GLM], Quadro FX 2700M [G94GLM],
 Quadro FX 2800M [G92GLM], Quadro FX 3600M [G92GLM], Quadro FX 3700 [G92GL],
 Quadro FX 3700M [G92GLM], Quadro FX 3800 [GT200GL], Quadro FX 3800M [G92GLM],
 Quadro FX 4600 [G80GL], Quadro FX 4700 X2 [G92GL], Quadro FX 4800 [GT200GL],
 Quadro FX 5600 [G80GL], Quadro FX 5800 [GT200GL], Quadro NVS 130M [G86M],
 Quadro NVS 135M [G86M], Quadro NVS 140M [G86M], Quadro NVS 150M [G98M],
 Quadro NVS 160M [G98M], Quadro NVS 290 [G86], Quadro NVS 295 [G98],
 Quadro NVS 320M [G84GLM], Quadro NVS 420 [G98], Quadro NVS 450 [G98],
 Quadro Plex 2200 D2 [GT200GL], Quadro Plex 2200 S4 [GT200GL],
 Quadro VX 200 [G92GL], Tesla C870 [G80GL], Tesla C1060 [GT200GL],
 Tesla M1060 [GT200GL], nForce 720a [C77], nForce 730a [C77],
 nForce 730i [C79], nForce 750a SLI [C77], nForce 760i SLI [C79],
 nForce 780a SLI [C77], nForce 980a SLI [C77], GRID K1 [GK107GL],
 GRID K2 [GK104GL], GRID K340 [GK107GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-340xx-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-340xx-kernel-dkms
Description-md5: 7a34285aa51a34082d3a5d358dd59c13
Description-en: NVIDIA binary kernel module DKMS source (340xx legacy version)
 This package builds the NVIDIA Xorg binary kernel module needed by
 nvidia-legacy-340xx-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 205 [GT218], GeForce 210 [GT216], GeForce 210 [GT218],
 GeForce 305M [GT218M], GeForce 310 [GT218], GeForce 310M [GT218M],
 GeForce 315 [GT216], GeForce 315 [GT218], GeForce 315M [GT218M],
 GeForce 320M [MCP89], GeForce 405 [GT216], GeForce 405 [GT218],
 GeForce 8100 [C77], GeForce 8200 [C77], GeForce 8200M [C77],
 GeForce 8200M G [C77], GeForce 8200M G [MCP79], GeForce 8300 [C77],
 GeForce 8300 GS [G84], GeForce 8300 GS [G86], GeForce 8300 GS [G98],
 GeForce 8400 [G98], GeForce 8400 GS [G84], GeForce 8400 GS [G86],
 GeForce 8400 GS Rev. 2 [G98], GeForce 8400 GS Rev. 3 [GT218],
 GeForce 8400 SE [G86], GeForce 8400M G [G86M], GeForce 8400M GS [G86M],
 GeForce 8400M GT [G86M], GeForce 8500 GT [G86], GeForce 8600 GS [G84],
 GeForce 8600 GT [G84], GeForce 8600 GTS [G84], GeForce 8600M GS [G86M],
 GeForce 8600M GT [G84M], GeForce 8700M GT [G84M], GeForce 8800 GS [G92],
 GeForce 8800 GT [G92], GeForce 8800 GTS [G80], GeForce 8800 GTS 512 [G92],
 GeForce 8800 GTX [G80], GeForce 8800 Ultra [G80], GeForce 8800M GTS [G92M],
 GeForce 8800M GTX [G92M], GeForce 9100 [C78], GeForce 9100M G [C77],
 GeForce 9100M G [C79], GeForce 9200 [C77], GeForce 9200 [C79],
 GeForce 9200M GS [G98M], GeForce 9300 [C79], GeForce 9300/ION [C79],
 GeForce 9300 GE [G98], GeForce 9300 GS [G98], GeForce 9300 GS Rev. 2 [GT218],
 GeForce 9300 SE [G98], GeForce 9300M G [G86M], GeForce 9300M GS [G98M],
 GeForce 9400 [C79], GeForce 9400 [MCP7A], GeForce 9400 GT [G86],
 GeForce 9400 GT [G96], GeForce 9400M [C79], GeForce 9400M [ION VGA],
 GeForce 9400M G [C79], GeForce 9500 GS [G96], GeForce 9500 GT [G96],
 GeForce 9500M G [G96M], GeForce 9500M GS [G84M], GeForce 9600 GS [G94],
 GeForce 9600 GSO 512 [G94], GeForce 9600 GSO [G92], GeForce 9600 GSO [G94],
 GeForce 9600 GT [G94], GeForce 9600M GS [G96M], GeForce 9600M GT [G96M],
 GeForce 9650 S [G96], GeForce 9650M GS [G84M], GeForce 9650M GT [G96M],
 GeForce 9700M GT [G96M], GeForce 9700M GTS [G94M], GeForce 9800 GT [G92],
 GeForce 9800 GTX [G92], GeForce 9800 GTX+ [G92], GeForce 9800 GX2 [G92],
 GeForce 9800M GS [G94M], GeForce 9800M GT [G92M], GeForce 9800M GTS [G94M],
 GeForce 9800M GTX [G92M], GeForce G 100 [G98], GeForce G 102M [C79],
 GeForce G 103M [G98M], GeForce G 105M [G98M], GeForce G 105M [GT218M],
 GeForce G 110M [G96M], GeForce G 210 [GT218], GeForce G 210M [GT218M],
 GeForce GT 120 [G96], GeForce GT 120M [G96M], GeForce GT 130 [G94],
 GeForce GT 130M [G96M], GeForce GT 140 [G94], GeForce GT 220 [GT215],
 GeForce GT 220 [GT216], GeForce GT 220/315 [GT215], GeForce GT 220M [G96M],
 GeForce GT 230 OEM [G92], GeForce GT 230 [G94], GeForce GT 230M [GT216M],
 GeForce GT 240 [GT215], GeForce GT 240M [GT216M], GeForce GT 320 [GT215],
 GeForce GT 320M [GT216M], GeForce GT 325M [GT216M], GeForce GT 330 [G92],
 GeForce GT 330 [GT215], GeForce GT 330M [GT216M], GeForce GT 335M [GT215M],
 GeForce GT 340 [GT215], GeForce GT 415 [GT216], GeForce GTS 150M [G94M],
 GeForce GTS 160M [G94M], GeForce GTS 240 [G92], GeForce GTS 250 [G92],
 GeForce GTS 250M [GT215M], GeForce GTS 260M [GT215M],
 GeForce GTS 350M [GT215M], GeForce GTS 360M [GT215M],
 GeForce GTX 260 [GT200], GeForce GTX 260M [G92M], GeForce GTX 275 [GT200b],
 GeForce GTX 280 [GT200], GeForce GTX 280M [G92M], GeForce GTX 285 [GT200b],
 GeForce GTX 285M [G92M], GeForce GTX 295 [GT200], GeForce GTX 295 [GT200b],
 HICx16 + Graphics [G98], ION VGA, ION LE VGA, ION [C79], ION [GT218],
 ION 2 [GT218], NVS 300 [GT218], NVS 2100M [GT218M], NVS 3100M [GT218M],
 NVS 5100M [GT216M], Quadro 400 [GT216GL], Quadro CX [GT200GL],
 Quadro FX 360M [G86GLM], Quadro FX 370 [G84GL], Quadro FX 370 LP [G98GL],
 Quadro FX 370M [G98GLM], Quadro FX 380 [G96GL], Quadro FX 380 LP [GT218GL],
 Quadro FX 380M [GT218GLM], Quadro FX 570 [G84GL], Quadro FX 570M [G84GLM],
 Quadro FX 580 [G96GL], Quadro FX 770M [G96GLM], Quadro FX 880M [GT216GLM],
 Quadro FX 1600M [G84GLM], Quadro FX 1700 [G84GL], Quadro FX 1700M [G96GLM],
 Quadro FX 1800 [G94GL], Quadro FX 1800M [GT215GLM], Quadro FX 2700M [G94GLM],
 Quadro FX 2800M [G92GLM], Quadro FX 3600M [G92GLM], Quadro FX 3700 [G92GL],
 Quadro FX 3700M [G92GLM], Quadro FX 3800 [GT200GL], Quadro FX 3800M [G92GLM],
 Quadro FX 4600 [G80GL], Quadro FX 4700 X2 [G92GL], Quadro FX 4800 [GT200GL],
 Quadro FX 5600 [G80GL], Quadro FX 5800 [GT200GL], Quadro NVS 130M [G86M],
 Quadro NVS 135M [G86M], Quadro NVS 140M [G86M], Quadro NVS 150M [G98M],
 Quadro NVS 160M [G98M], Quadro NVS 290 [G86], Quadro NVS 295 [G98],
 Quadro NVS 320M [G84GLM], Quadro NVS 420 [G98], Quadro NVS 450 [G98],
 Quadro Plex 2200 D2 [GT200GL], Quadro Plex 2200 S4 [GT200GL],
 Quadro VX 200 [G92GL], Tesla C870 [G80GL], Tesla C1060 [GT200GL],
 Tesla M1060 [GT200GL], nForce 720a [C77], nForce 730a [C77],
 nForce 730i [C79], nForce 750a SLI [C77], nForce 760i SLI [C79],
 nForce 780a SLI [C77], nForce 980a SLI [C77], GRID K1 [GK107GL],
 GRID K2 [GK104GL], GRID K340 [GK107GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-340xx-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 i386 architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-340xx-kernel-dkms
Description-md5: cfcf4c27b0acfb623fa76acebd0e6446
Description-en: NVIDIA binary kernel module DKMS source (340xx legacy version)
 This package builds the NVIDIA Xorg binary kernel module needed by
 nvidia-legacy-340xx-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 205 [GT218], GeForce 210 [GT216], GeForce 210 [GT218],
 GeForce 305M [GT218M], GeForce 310 [GT218], GeForce 310M [GT218M],
 GeForce 315 [GT216], GeForce 315 [GT218], GeForce 315M [GT218M],
 GeForce 320M [MCP89], GeForce 405 [GT216], GeForce 405 [GT218],
 GeForce 8100 [C77], GeForce 8200 [C77], GeForce 8200M [C77],
 GeForce 8200M G [C77], GeForce 8200M G [MCP79], GeForce 8300 [C77],
 GeForce 8300 GS [G84], GeForce 8300 GS [G86], GeForce 8300 GS [G98],
 GeForce 8400 [G98], GeForce 8400 GS [G84], GeForce 8400 GS [G86],
 GeForce 8400 GS Rev. 2 [G98], GeForce 8400 GS Rev. 3 [GT218],
 GeForce 8400 SE [G86], GeForce 8400M G [G86M], GeForce 8400M GS [G86M],
 GeForce 8400M GT [G86M], GeForce 8500 GT [G86], GeForce 8600 GS [G84],
 GeForce 8600 GT [G84], GeForce 8600 GTS [G84], GeForce 8600M GS [G86M],
 GeForce 8600M GT [G84M], GeForce 8700M GT [G84M], GeForce 8800 GS [G92],
 GeForce 8800 GT [G92], GeForce 8800 GTS [G80], GeForce 8800 GTS 512 [G92],
 GeForce 8800 GTX [G80], GeForce 8800 Ultra [G80], GeForce 8800M GTS [G92M],
 GeForce 8800M GTX [G92M], GeForce 9100 [C78], GeForce 9100M G [C77],
 GeForce 9100M G [C79], GeForce 9200 [C77], GeForce 9200 [C79],
 GeForce 9200M GS [G98M], GeForce 9300 [C79], GeForce 9300/ION [C79],
 GeForce 9300 GE [G98], GeForce 9300 GS [G98], GeForce 9300 GS Rev. 2 [GT218],
 GeForce 9300 SE [G98], GeForce 9300M G [G86M], GeForce 9300M GS [G98M],
 GeForce 9400 [C79], GeForce 9400 [MCP7A], GeForce 9400 GT [G86],
 GeForce 9400 GT [G96], GeForce 9400M [C79], GeForce 9400M [ION VGA],
 GeForce 9400M G [C79], GeForce 9500 GS [G96], GeForce 9500 GT [G96],
 GeForce 9500M G [G96M], GeForce 9500M GS [G84M], GeForce 9600 GS [G94],
 GeForce 9600 GSO 512 [G94], GeForce 9600 GSO [G92], GeForce 9600 GSO [G94],
 GeForce 9600 GT [G94], GeForce 9600M GS [G96M], GeForce 9600M GT [G96M],
 GeForce 9650 S [G96], GeForce 9650M GS [G84M], GeForce 9650M GT [G96M],
 GeForce 9700M GT [G96M], GeForce 9700M GTS [G94M], GeForce 9800 GT [G92],
 GeForce 9800 GTX [G92], GeForce 9800 GTX+ [G92], GeForce 9800 GX2 [G92],
 GeForce 9800M GS [G94M], GeForce 9800M GT [G92M], GeForce 9800M GTS [G94M],
 GeForce 9800M GTX [G92M], GeForce G 100 [G98], GeForce G 102M [C79],
 GeForce G 103M [G98M], GeForce G 105M [G98M], GeForce G 105M [GT218M],
 GeForce G 110M [G96M], GeForce G 210 [GT218], GeForce G 210M [GT218M],
 GeForce GT 120 [G96], GeForce GT 120M [G96M], GeForce GT 130 [G94],
 GeForce GT 130M [G96M], GeForce GT 140 [G94], GeForce GT 220 [GT215],
 GeForce GT 220 [GT216], GeForce GT 220/315 [GT215], GeForce GT 220M [G96M],
 GeForce GT 230 OEM [G92], GeForce GT 230 [G94], GeForce GT 230M [GT216M],
 GeForce GT 240 [GT215], GeForce GT 240M [GT216M], GeForce GT 320 [GT215],
 GeForce GT 320M [GT216M], GeForce GT 325M [GT216M], GeForce GT 330 [G92],
 GeForce GT 330 [GT215], GeForce GT 330M [GT216M], GeForce GT 335M [GT215M],
 GeForce GT 340 [GT215], GeForce GT 415 [GT216], GeForce GTS 150M [G94M],
 GeForce GTS 160M [G94M], GeForce GTS 240 [G92], GeForce GTS 250 [G92],
 GeForce GTS 250M [GT215M], GeForce GTS 260M [GT215M],
 GeForce GTS 350M [GT215M], GeForce GTS 360M [GT215M],
 GeForce GTX 260 [GT200], GeForce GTX 260M [G92M], GeForce GTX 275 [GT200b],
 GeForce GTX 280 [GT200], GeForce GTX 280M [G92M], GeForce GTX 285 [GT200b],
 GeForce GTX 285M [G92M], GeForce GTX 295 [GT200], GeForce GTX 295 [GT200b],
 HICx16 + Graphics [G98], ION VGA, ION LE VGA, ION [C79], ION [GT218],
 ION 2 [GT218], NVS 300 [GT218], NVS 2100M [GT218M], NVS 3100M [GT218M],
 NVS 5100M [GT216M], Quadro 400 [GT216GL], Quadro CX [GT200GL],
 Quadro FX 360M [G86GLM], Quadro FX 370 [G84GL], Quadro FX 370 LP [G98GL],
 Quadro FX 370M [G98GLM], Quadro FX 380 [G96GL], Quadro FX 380 LP [GT218GL],
 Quadro FX 380M [GT218GLM], Quadro FX 570 [G84GL], Quadro FX 570M [G84GLM],
 Quadro FX 580 [G96GL], Quadro FX 770M [G96GLM], Quadro FX 880M [GT216GLM],
 Quadro FX 1600M [G84GLM], Quadro FX 1700 [G84GL], Quadro FX 1700M [G96GLM],
 Quadro FX 1800 [G94GL], Quadro FX 1800M [GT215GLM], Quadro FX 2700M [G94GLM],
 Quadro FX 2800M [G92GLM], Quadro FX 3600M [G92GLM], Quadro FX 3700 [G92GL],
 Quadro FX 3700M [G92GLM], Quadro FX 3800 [GT200GL], Quadro FX 3800M [G92GLM],
 Quadro FX 4600 [G80GL], Quadro FX 4700 X2 [G92GL], Quadro FX 4800 [GT200GL],
 Quadro FX 5600 [G80GL], Quadro FX 5800 [GT200GL], Quadro NVS 130M [G86M],
 Quadro NVS 135M [G86M], Quadro NVS 140M [G86M], Quadro NVS 150M [G98M],
 Quadro NVS 160M [G98M], Quadro NVS 290 [G86], Quadro NVS 295 [G98],
 Quadro NVS 320M [G84GLM], Quadro NVS 420 [G98], Quadro NVS 450 [G98],
 Quadro Plex 2200 D2 [GT200GL], Quadro Plex 2200 S4 [GT200GL],
 Quadro VX 200 [G92GL], Tesla C870 [G80GL], Tesla C1060 [GT200GL],
 Tesla M1060 [GT200GL], nForce 720a [C77], nForce 730a [C77],
 nForce 730i [C79], nForce 750a SLI [C77], nForce 760i SLI [C79],
 nForce 780a SLI [C77], nForce 980a SLI [C77], GRID K1 [GK107GL],
 GRID K2 [GK104GL], GRID K340 [GK107GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-340xx-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 armhf architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-340xx-kernel-source
Description-md5: 7a78e197175f44e0a10cd71a2cac371f
Description-en: NVIDIA binary kernel module source (340xx legacy version)
 This package provides the source for the NVIDIA Xorg binary kernel module
 needed by nvidia-legacy-340xx-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-legacy-340xx-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-legacy-340xx-kernel-dkms instead.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 205 [GT218], GeForce 210 [GT216], GeForce 210 [GT218],
 GeForce 305M [GT218M], GeForce 310 [GT218], GeForce 310M [GT218M],
 GeForce 315 [GT216], GeForce 315 [GT218], GeForce 315M [GT218M],
 GeForce 320M [MCP89], GeForce 405 [GT216], GeForce 405 [GT218],
 GeForce 8100 [C77], GeForce 8200 [C77], GeForce 8200M [C77],
 GeForce 8200M G [C77], GeForce 8200M G [MCP79], GeForce 8300 [C77],
 GeForce 8300 GS [G84], GeForce 8300 GS [G86], GeForce 8300 GS [G98],
 GeForce 8400 [G98], GeForce 8400 GS [G84], GeForce 8400 GS [G86],
 GeForce 8400 GS Rev. 2 [G98], GeForce 8400 GS Rev. 3 [GT218],
 GeForce 8400 SE [G86], GeForce 8400M G [G86M], GeForce 8400M GS [G86M],
 GeForce 8400M GT [G86M], GeForce 8500 GT [G86], GeForce 8600 GS [G84],
 GeForce 8600 GT [G84], GeForce 8600 GTS [G84], GeForce 8600M GS [G86M],
 GeForce 8600M GT [G84M], GeForce 8700M GT [G84M], GeForce 8800 GS [G92],
 GeForce 8800 GT [G92], GeForce 8800 GTS [G80], GeForce 8800 GTS 512 [G92],
 GeForce 8800 GTX [G80], GeForce 8800 Ultra [G80], GeForce 8800M GTS [G92M],
 GeForce 8800M GTX [G92M], GeForce 9100 [C78], GeForce 9100M G [C77],
 GeForce 9100M G [C79], GeForce 9200 [C77], GeForce 9200 [C79],
 GeForce 9200M GS [G98M], GeForce 9300 [C79], GeForce 9300/ION [C79],
 GeForce 9300 GE [G98], GeForce 9300 GS [G98], GeForce 9300 GS Rev. 2 [GT218],
 GeForce 9300 SE [G98], GeForce 9300M G [G86M], GeForce 9300M GS [G98M],
 GeForce 9400 [C79], GeForce 9400 [MCP7A], GeForce 9400 GT [G86],
 GeForce 9400 GT [G96], GeForce 9400M [C79], GeForce 9400M [ION VGA],
 GeForce 9400M G [C79], GeForce 9500 GS [G96], GeForce 9500 GT [G96],
 GeForce 9500M G [G96M], GeForce 9500M GS [G84M], GeForce 9600 GS [G94],
 GeForce 9600 GSO 512 [G94], GeForce 9600 GSO [G92], GeForce 9600 GSO [G94],
 GeForce 9600 GT [G94], GeForce 9600M GS [G96M], GeForce 9600M GT [G96M],
 GeForce 9650 S [G96], GeForce 9650M GS [G84M], GeForce 9650M GT [G96M],
 GeForce 9700M GT [G96M], GeForce 9700M GTS [G94M], GeForce 9800 GT [G92],
 GeForce 9800 GTX [G92], GeForce 9800 GTX+ [G92], GeForce 9800 GX2 [G92],
 GeForce 9800M GS [G94M], GeForce 9800M GT [G92M], GeForce 9800M GTS [G94M],
 GeForce 9800M GTX [G92M], GeForce G 100 [G98], GeForce G 102M [C79],
 GeForce G 103M [G98M], GeForce G 105M [G98M], GeForce G 105M [GT218M],
 GeForce G 110M [G96M], GeForce G 210 [GT218], GeForce G 210M [GT218M],
 GeForce GT 120 [G96], GeForce GT 120M [G96M], GeForce GT 130 [G94],
 GeForce GT 130M [G96M], GeForce GT 140 [G94], GeForce GT 220 [GT215],
 GeForce GT 220 [GT216], GeForce GT 220/315 [GT215], GeForce GT 220M [G96M],
 GeForce GT 230 OEM [G92], GeForce GT 230 [G94], GeForce GT 230M [GT216M],
 GeForce GT 240 [GT215], GeForce GT 240M [GT216M], GeForce GT 320 [GT215],
 GeForce GT 320M [GT216M], GeForce GT 325M [GT216M], GeForce GT 330 [G92],
 GeForce GT 330 [GT215], GeForce GT 330M [GT216M], GeForce GT 335M [GT215M],
 GeForce GT 340 [GT215], GeForce GT 415 [GT216], GeForce GTS 150M [G94M],
 GeForce GTS 160M [G94M], GeForce GTS 240 [G92], GeForce GTS 250 [G92],
 GeForce GTS 250M [GT215M], GeForce GTS 260M [GT215M],
 GeForce GTS 350M [GT215M], GeForce GTS 360M [GT215M],
 GeForce GTX 260 [GT200], GeForce GTX 260M [G92M], GeForce GTX 275 [GT200b],
 GeForce GTX 280 [GT200], GeForce GTX 280M [G92M], GeForce GTX 285 [GT200b],
 GeForce GTX 285M [G92M], GeForce GTX 295 [GT200], GeForce GTX 295 [GT200b],
 HICx16 + Graphics [G98], ION VGA, ION LE VGA, ION [C79], ION [GT218],
 ION 2 [GT218], NVS 300 [GT218], NVS 2100M [GT218M], NVS 3100M [GT218M],
 NVS 5100M [GT216M], Quadro 400 [GT216GL], Quadro CX [GT200GL],
 Quadro FX 360M [G86GLM], Quadro FX 370 [G84GL], Quadro FX 370 LP [G98GL],
 Quadro FX 370M [G98GLM], Quadro FX 380 [G96GL], Quadro FX 380 LP [GT218GL],
 Quadro FX 380M [GT218GLM], Quadro FX 570 [G84GL], Quadro FX 570M [G84GLM],
 Quadro FX 580 [G96GL], Quadro FX 770M [G96GLM], Quadro FX 880M [GT216GLM],
 Quadro FX 1600M [G84GLM], Quadro FX 1700 [G84GL], Quadro FX 1700M [G96GLM],
 Quadro FX 1800 [G94GL], Quadro FX 1800M [GT215GLM], Quadro FX 2700M [G94GLM],
 Quadro FX 2800M [G92GLM], Quadro FX 3600M [G92GLM], Quadro FX 3700 [G92GL],
 Quadro FX 3700M [G92GLM], Quadro FX 3800 [GT200GL], Quadro FX 3800M [G92GLM],
 Quadro FX 4600 [G80GL], Quadro FX 4700 X2 [G92GL], Quadro FX 4800 [GT200GL],
 Quadro FX 5600 [G80GL], Quadro FX 5800 [GT200GL], Quadro NVS 130M [G86M],
 Quadro NVS 135M [G86M], Quadro NVS 140M [G86M], Quadro NVS 150M [G98M],
 Quadro NVS 160M [G98M], Quadro NVS 290 [G86], Quadro NVS 295 [G98],
 Quadro NVS 320M [G84GLM], Quadro NVS 420 [G98], Quadro NVS 450 [G98],
 Quadro Plex 2200 D2 [GT200GL], Quadro Plex 2200 S4 [GT200GL],
 Quadro VX 200 [G92GL], Tesla C870 [G80GL], Tesla C1060 [GT200GL],
 Tesla M1060 [GT200GL], nForce 720a [C77], nForce 730a [C77],
 nForce 730i [C79], nForce 750a SLI [C77], nForce 760i SLI [C79],
 nForce 780a SLI [C77], nForce 980a SLI [C77], GRID K1 [GK107GL],
 GRID K2 [GK104GL], GRID K340 [GK107GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-340xx-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 i386 architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-340xx-kernel-source
Description-md5: c7ec95390184e3b08c8cbc8e859d7f31
Description-en: NVIDIA binary kernel module source (340xx legacy version)
 This package provides the source for the NVIDIA Xorg binary kernel module
 needed by nvidia-legacy-340xx-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-legacy-340xx-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-legacy-340xx-kernel-dkms instead.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 205 [GT218], GeForce 210 [GT216], GeForce 210 [GT218],
 GeForce 305M [GT218M], GeForce 310 [GT218], GeForce 310M [GT218M],
 GeForce 315 [GT216], GeForce 315 [GT218], GeForce 315M [GT218M],
 GeForce 320M [MCP89], GeForce 405 [GT216], GeForce 405 [GT218],
 GeForce 8100 [C77], GeForce 8200 [C77], GeForce 8200M [C77],
 GeForce 8200M G [C77], GeForce 8200M G [MCP79], GeForce 8300 [C77],
 GeForce 8300 GS [G84], GeForce 8300 GS [G86], GeForce 8300 GS [G98],
 GeForce 8400 [G98], GeForce 8400 GS [G84], GeForce 8400 GS [G86],
 GeForce 8400 GS Rev. 2 [G98], GeForce 8400 GS Rev. 3 [GT218],
 GeForce 8400 SE [G86], GeForce 8400M G [G86M], GeForce 8400M GS [G86M],
 GeForce 8400M GT [G86M], GeForce 8500 GT [G86], GeForce 8600 GS [G84],
 GeForce 8600 GT [G84], GeForce 8600 GTS [G84], GeForce 8600M GS [G86M],
 GeForce 8600M GT [G84M], GeForce 8700M GT [G84M], GeForce 8800 GS [G92],
 GeForce 8800 GT [G92], GeForce 8800 GTS [G80], GeForce 8800 GTS 512 [G92],
 GeForce 8800 GTX [G80], GeForce 8800 Ultra [G80], GeForce 8800M GTS [G92M],
 GeForce 8800M GTX [G92M], GeForce 9100 [C78], GeForce 9100M G [C77],
 GeForce 9100M G [C79], GeForce 9200 [C77], GeForce 9200 [C79],
 GeForce 9200M GS [G98M], GeForce 9300 [C79], GeForce 9300/ION [C79],
 GeForce 9300 GE [G98], GeForce 9300 GS [G98], GeForce 9300 GS Rev. 2 [GT218],
 GeForce 9300 SE [G98], GeForce 9300M G [G86M], GeForce 9300M GS [G98M],
 GeForce 9400 [C79], GeForce 9400 [MCP7A], GeForce 9400 GT [G86],
 GeForce 9400 GT [G96], GeForce 9400M [C79], GeForce 9400M [ION VGA],
 GeForce 9400M G [C79], GeForce 9500 GS [G96], GeForce 9500 GT [G96],
 GeForce 9500M G [G96M], GeForce 9500M GS [G84M], GeForce 9600 GS [G94],
 GeForce 9600 GSO 512 [G94], GeForce 9600 GSO [G92], GeForce 9600 GSO [G94],
 GeForce 9600 GT [G94], GeForce 9600M GS [G96M], GeForce 9600M GT [G96M],
 GeForce 9650 S [G96], GeForce 9650M GS [G84M], GeForce 9650M GT [G96M],
 GeForce 9700M GT [G96M], GeForce 9700M GTS [G94M], GeForce 9800 GT [G92],
 GeForce 9800 GTX [G92], GeForce 9800 GTX+ [G92], GeForce 9800 GX2 [G92],
 GeForce 9800M GS [G94M], GeForce 9800M GT [G92M], GeForce 9800M GTS [G94M],
 GeForce 9800M GTX [G92M], GeForce G 100 [G98], GeForce G 102M [C79],
 GeForce G 103M [G98M], GeForce G 105M [G98M], GeForce G 105M [GT218M],
 GeForce G 110M [G96M], GeForce G 210 [GT218], GeForce G 210M [GT218M],
 GeForce GT 120 [G96], GeForce GT 120M [G96M], GeForce GT 130 [G94],
 GeForce GT 130M [G96M], GeForce GT 140 [G94], GeForce GT 220 [GT215],
 GeForce GT 220 [GT216], GeForce GT 220/315 [GT215], GeForce GT 220M [G96M],
 GeForce GT 230 OEM [G92], GeForce GT 230 [G94], GeForce GT 230M [GT216M],
 GeForce GT 240 [GT215], GeForce GT 240M [GT216M], GeForce GT 320 [GT215],
 GeForce GT 320M [GT216M], GeForce GT 325M [GT216M], GeForce GT 330 [G92],
 GeForce GT 330 [GT215], GeForce GT 330M [GT216M], GeForce GT 335M [GT215M],
 GeForce GT 340 [GT215], GeForce GT 415 [GT216], GeForce GTS 150M [G94M],
 GeForce GTS 160M [G94M], GeForce GTS 240 [G92], GeForce GTS 250 [G92],
 GeForce GTS 250M [GT215M], GeForce GTS 260M [GT215M],
 GeForce GTS 350M [GT215M], GeForce GTS 360M [GT215M],
 GeForce GTX 260 [GT200], GeForce GTX 260M [G92M], GeForce GTX 275 [GT200b],
 GeForce GTX 280 [GT200], GeForce GTX 280M [G92M], GeForce GTX 285 [GT200b],
 GeForce GTX 285M [G92M], GeForce GTX 295 [GT200], GeForce GTX 295 [GT200b],
 HICx16 + Graphics [G98], ION VGA, ION LE VGA, ION [C79], ION [GT218],
 ION 2 [GT218], NVS 300 [GT218], NVS 2100M [GT218M], NVS 3100M [GT218M],
 NVS 5100M [GT216M], Quadro 400 [GT216GL], Quadro CX [GT200GL],
 Quadro FX 360M [G86GLM], Quadro FX 370 [G84GL], Quadro FX 370 LP [G98GL],
 Quadro FX 370M [G98GLM], Quadro FX 380 [G96GL], Quadro FX 380 LP [GT218GL],
 Quadro FX 380M [GT218GLM], Quadro FX 570 [G84GL], Quadro FX 570M [G84GLM],
 Quadro FX 580 [G96GL], Quadro FX 770M [G96GLM], Quadro FX 880M [GT216GLM],
 Quadro FX 1600M [G84GLM], Quadro FX 1700 [G84GL], Quadro FX 1700M [G96GLM],
 Quadro FX 1800 [G94GL], Quadro FX 1800M [GT215GLM], Quadro FX 2700M [G94GLM],
 Quadro FX 2800M [G92GLM], Quadro FX 3600M [G92GLM], Quadro FX 3700 [G92GL],
 Quadro FX 3700M [G92GLM], Quadro FX 3800 [GT200GL], Quadro FX 3800M [G92GLM],
 Quadro FX 4600 [G80GL], Quadro FX 4700 X2 [G92GL], Quadro FX 4800 [GT200GL],
 Quadro FX 5600 [G80GL], Quadro FX 5800 [GT200GL], Quadro NVS 130M [G86M],
 Quadro NVS 135M [G86M], Quadro NVS 140M [G86M], Quadro NVS 150M [G98M],
 Quadro NVS 160M [G98M], Quadro NVS 290 [G86], Quadro NVS 295 [G98],
 Quadro NVS 320M [G84GLM], Quadro NVS 420 [G98], Quadro NVS 450 [G98],
 Quadro Plex 2200 D2 [GT200GL], Quadro Plex 2200 S4 [GT200GL],
 Quadro VX 200 [G92GL], Tesla C870 [G80GL], Tesla C1060 [GT200GL],
 Tesla M1060 [GT200GL], nForce 720a [C77], nForce 730a [C77],
 nForce 730i [C79], nForce 750a SLI [C77], nForce 760i SLI [C79],
 nForce 780a SLI [C77], nForce 980a SLI [C77], GRID K1 [GK107GL],
 GRID K2 [GK104GL], GRID K340 [GK107GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-340xx-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-340xx-kernel-source
Description-md5: d8d0fbaabb0d04cc1ce60528f26a2582
Description-en: NVIDIA binary kernel module source (340xx legacy version)
 This package provides the source for the NVIDIA Xorg binary kernel module
 needed by nvidia-legacy-340xx-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-legacy-340xx-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-legacy-340xx-kernel-dkms instead.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 205 [GT218], GeForce 210 [GT216], GeForce 210 [GT218],
 GeForce 305M [GT218M], GeForce 310 [GT218], GeForce 310M [GT218M],
 GeForce 315 [GT216], GeForce 315 [GT218], GeForce 315M [GT218M],
 GeForce 320M [MCP89], GeForce 405 [GT216], GeForce 405 [GT218],
 GeForce 8100 [C77], GeForce 8200 [C77], GeForce 8200M [C77],
 GeForce 8200M G [C77], GeForce 8200M G [MCP79], GeForce 8300 [C77],
 GeForce 8300 GS [G84], GeForce 8300 GS [G86], GeForce 8300 GS [G98],
 GeForce 8400 [G98], GeForce 8400 GS [G84], GeForce 8400 GS [G86],
 GeForce 8400 GS Rev. 2 [G98], GeForce 8400 GS Rev. 3 [GT218],
 GeForce 8400 SE [G86], GeForce 8400M G [G86M], GeForce 8400M GS [G86M],
 GeForce 8400M GT [G86M], GeForce 8500 GT [G86], GeForce 8600 GS [G84],
 GeForce 8600 GT [G84], GeForce 8600 GTS [G84], GeForce 8600M GS [G86M],
 GeForce 8600M GT [G84M], GeForce 8700M GT [G84M], GeForce 8800 GS [G92],
 GeForce 8800 GT [G92], GeForce 8800 GTS [G80], GeForce 8800 GTS 512 [G92],
 GeForce 8800 GTX [G80], GeForce 8800 Ultra [G80], GeForce 8800M GTS [G92M],
 GeForce 8800M GTX [G92M], GeForce 9100 [C78], GeForce 9100M G [C77],
 GeForce 9100M G [C79], GeForce 9200 [C77], GeForce 9200 [C79],
 GeForce 9200M GS [G98M], GeForce 9300 [C79], GeForce 9300/ION [C79],
 GeForce 9300 GE [G98], GeForce 9300 GS [G98], GeForce 9300 GS Rev. 2 [GT218],
 GeForce 9300 SE [G98], GeForce 9300M G [G86M], GeForce 9300M GS [G98M],
 GeForce 9400 [C79], GeForce 9400 [MCP7A], GeForce 9400 GT [G86],
 GeForce 9400 GT [G96], GeForce 9400M [C79], GeForce 9400M [ION VGA],
 GeForce 9400M G [C79], GeForce 9500 GS [G96], GeForce 9500 GT [G96],
 GeForce 9500M G [G96M], GeForce 9500M GS [G84M], GeForce 9600 GS [G94],
 GeForce 9600 GSO 512 [G94], GeForce 9600 GSO [G92], GeForce 9600 GSO [G94],
 GeForce 9600 GT [G94], GeForce 9600M GS [G96M], GeForce 9600M GT [G96M],
 GeForce 9650 S [G96], GeForce 9650M GS [G84M], GeForce 9650M GT [G96M],
 GeForce 9700M GT [G96M], GeForce 9700M GTS [G94M], GeForce 9800 GT [G92],
 GeForce 9800 GTX [G92], GeForce 9800 GTX+ [G92], GeForce 9800 GX2 [G92],
 GeForce 9800M GS [G94M], GeForce 9800M GT [G92M], GeForce 9800M GTS [G94M],
 GeForce 9800M GTX [G92M], GeForce G 100 [G98], GeForce G 102M [C79],
 GeForce G 103M [G98M], GeForce G 105M [G98M], GeForce G 105M [GT218M],
 GeForce G 110M [G96M], GeForce G 210 [GT218], GeForce G 210M [GT218M],
 GeForce GT 120 [G96], GeForce GT 120M [G96M], GeForce GT 130 [G94],
 GeForce GT 130M [G96M], GeForce GT 140 [G94], GeForce GT 220 [GT215],
 GeForce GT 220 [GT216], GeForce GT 220/315 [GT215], GeForce GT 220M [G96M],
 GeForce GT 230 OEM [G92], GeForce GT 230 [G94], GeForce GT 230M [GT216M],
 GeForce GT 240 [GT215], GeForce GT 240M [GT216M], GeForce GT 320 [GT215],
 GeForce GT 320M [GT216M], GeForce GT 325M [GT216M], GeForce GT 330 [G92],
 GeForce GT 330 [GT215], GeForce GT 330M [GT216M], GeForce GT 335M [GT215M],
 GeForce GT 340 [GT215], GeForce GT 415 [GT216], GeForce GTS 150M [G94M],
 GeForce GTS 160M [G94M], GeForce GTS 240 [G92], GeForce GTS 250 [G92],
 GeForce GTS 250M [GT215M], GeForce GTS 260M [GT215M],
 GeForce GTS 350M [GT215M], GeForce GTS 360M [GT215M],
 GeForce GTX 260 [GT200], GeForce GTX 260M [G92M], GeForce GTX 275 [GT200b],
 GeForce GTX 280 [GT200], GeForce GTX 280M [G92M], GeForce GTX 285 [GT200b],
 GeForce GTX 285M [G92M], GeForce GTX 295 [GT200], GeForce GTX 295 [GT200b],
 HICx16 + Graphics [G98], ION VGA, ION LE VGA, ION [C79], ION [GT218],
 ION 2 [GT218], NVS 300 [GT218], NVS 2100M [GT218M], NVS 3100M [GT218M],
 NVS 5100M [GT216M], Quadro 400 [GT216GL], Quadro CX [GT200GL],
 Quadro FX 360M [G86GLM], Quadro FX 370 [G84GL], Quadro FX 370 LP [G98GL],
 Quadro FX 370M [G98GLM], Quadro FX 380 [G96GL], Quadro FX 380 LP [GT218GL],
 Quadro FX 380M [GT218GLM], Quadro FX 570 [G84GL], Quadro FX 570M [G84GLM],
 Quadro FX 580 [G96GL], Quadro FX 770M [G96GLM], Quadro FX 880M [GT216GLM],
 Quadro FX 1600M [G84GLM], Quadro FX 1700 [G84GL], Quadro FX 1700M [G96GLM],
 Quadro FX 1800 [G94GL], Quadro FX 1800M [GT215GLM], Quadro FX 2700M [G94GLM],
 Quadro FX 2800M [G92GLM], Quadro FX 3600M [G92GLM], Quadro FX 3700 [G92GL],
 Quadro FX 3700M [G92GLM], Quadro FX 3800 [GT200GL], Quadro FX 3800M [G92GLM],
 Quadro FX 4600 [G80GL], Quadro FX 4700 X2 [G92GL], Quadro FX 4800 [GT200GL],
 Quadro FX 5600 [G80GL], Quadro FX 5800 [GT200GL], Quadro NVS 130M [G86M],
 Quadro NVS 135M [G86M], Quadro NVS 140M [G86M], Quadro NVS 150M [G98M],
 Quadro NVS 160M [G98M], Quadro NVS 290 [G86], Quadro NVS 295 [G98],
 Quadro NVS 320M [G84GLM], Quadro NVS 420 [G98], Quadro NVS 450 [G98],
 Quadro Plex 2200 D2 [GT200GL], Quadro Plex 2200 S4 [GT200GL],
 Quadro VX 200 [G92GL], Tesla C870 [G80GL], Tesla C1060 [GT200GL],
 Tesla M1060 [GT200GL], nForce 720a [C77], nForce 730a [C77],
 nForce 730i [C79], nForce 750a SLI [C77], nForce 760i SLI [C79],
 nForce 780a SLI [C77], nForce 980a SLI [C77], GRID K1 [GK107GL],
 GRID K2 [GK104GL], GRID K340 [GK107GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-340xx-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 armhf architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-340xx-kernel-support
Description-md5: 61c6c3eb50b45a7f5e0cd52e4f060968
Description-en: NVIDIA binary kernel module support files (340xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package provides supporting configuration for the kernel module.

Package: nvidia-legacy-340xx-opencl-icd
Description-md5: e36f69fd157e8a3a6747cdbc15514be4
Description-en: NVIDIA OpenCL installable client driver (ICD) (340xx legacy version)
 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package provides the NVIDIA installable client driver (ICD) for OpenCL
 which supports NVIDIA GPUs. This ICD supports OpenCL 1.x only.

Package: nvidia-legacy-340xx-smi
Description-md5: 68d4d8c90581a312e65e00b59a65d5f7
Description-en: NVIDIA System Management Interface (340xx legacy version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 The application "nvidia-smi" is the NVIDIA System Management Interface (NVSMI)
 and provides a command line interface to this functionality.
 .
 See the output from the --help command line option for supported models and
 further information.

Package: nvidia-legacy-340xx-vdpau-driver
Description-md5: 1ede00b39ad7e4df023171c105420ed9
Description-en: Video Decode and Presentation API for Unix - NVIDIA driver (340xx legacy)
 These libraries provide the Video Decode and Presentation API for Unix.
 They provide accelerated video playback (incl. H.264) for the supported
 graphics cards.
 .
 This package contains the NVIDIA VDPAU driver.
 .
 See /usr/share/doc/nvidia-legacy-340xx-vdpau-driver/README.txt.gz
 for more information.
 .
 Please see the nvidia-legacy-340xx-kernel-dkms or
 nvidia-legacy-340xx-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-legacy-340xx-kernel-340.108.

Package: xserver-xorg-video-nvidia-legacy-340xx
Description-md5: d0ac21e517c3a6c7cebf581f38d71977
Description-en: NVIDIA binary Xorg driver (340xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 Please see the nvidia-legacy-340xx-kernel-dkms or
 nvidia-legacy-340xx-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-legacy-340xx-kernel-340.108.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 205 [GT218], GeForce 210 [GT216], GeForce 210 [GT218],
 GeForce 305M [GT218M], GeForce 310 [GT218], GeForce 310M [GT218M],
 GeForce 315 [GT216], GeForce 315 [GT218], GeForce 315M [GT218M],
 GeForce 320M [MCP89], GeForce 405 [GT216], GeForce 405 [GT218],
 GeForce 8100 [C77], GeForce 8200 [C77], GeForce 8200M [C77],
 GeForce 8200M G [C77], GeForce 8200M G [MCP79], GeForce 8300 [C77],
 GeForce 8300 GS [G84], GeForce 8300 GS [G86], GeForce 8300 GS [G98],
 GeForce 8400 [G98], GeForce 8400 GS [G84], GeForce 8400 GS [G86],
 GeForce 8400 GS Rev. 2 [G98], GeForce 8400 GS Rev. 3 [GT218],
 GeForce 8400 SE [G86], GeForce 8400M G [G86M], GeForce 8400M GS [G86M],
 GeForce 8400M GT [G86M], GeForce 8500 GT [G86], GeForce 8600 GS [G84],
 GeForce 8600 GT [G84], GeForce 8600 GTS [G84], GeForce 8600M GS [G86M],
 GeForce 8600M GT [G84M], GeForce 8700M GT [G84M], GeForce 8800 GS [G92],
 GeForce 8800 GT [G92], GeForce 8800 GTS [G80], GeForce 8800 GTS 512 [G92],
 GeForce 8800 GTX [G80], GeForce 8800 Ultra [G80], GeForce 8800M GTS [G92M],
 GeForce 8800M GTX [G92M], GeForce 9100 [C78], GeForce 9100M G [C77],
 GeForce 9100M G [C79], GeForce 9200 [C77], GeForce 9200 [C79],
 GeForce 9200M GS [G98M], GeForce 9300 [C79], GeForce 9300/ION [C79],
 GeForce 9300 GE [G98], GeForce 9300 GS [G98], GeForce 9300 GS Rev. 2 [GT218],
 GeForce 9300 SE [G98], GeForce 9300M G [G86M], GeForce 9300M GS [G98M],
 GeForce 9400 [C79], GeForce 9400 [MCP7A], GeForce 9400 GT [G86],
 GeForce 9400 GT [G96], GeForce 9400M [C79], GeForce 9400M [ION VGA],
 GeForce 9400M G [C79], GeForce 9500 GS [G96], GeForce 9500 GT [G96],
 GeForce 9500M G [G96M], GeForce 9500M GS [G84M], GeForce 9600 GS [G94],
 GeForce 9600 GSO 512 [G94], GeForce 9600 GSO [G92], GeForce 9600 GSO [G94],
 GeForce 9600 GT [G94], GeForce 9600M GS [G96M], GeForce 9600M GT [G96M],
 GeForce 9650 S [G96], GeForce 9650M GS [G84M], GeForce 9650M GT [G96M],
 GeForce 9700M GT [G96M], GeForce 9700M GTS [G94M], GeForce 9800 GT [G92],
 GeForce 9800 GTX [G92], GeForce 9800 GTX+ [G92], GeForce 9800 GX2 [G92],
 GeForce 9800M GS [G94M], GeForce 9800M GT [G92M], GeForce 9800M GTS [G94M],
 GeForce 9800M GTX [G92M], GeForce G 100 [G98], GeForce G 102M [C79],
 GeForce G 103M [G98M], GeForce G 105M [G98M], GeForce G 105M [GT218M],
 GeForce G 110M [G96M], GeForce G 210 [GT218], GeForce G 210M [GT218M],
 GeForce GT 120 [G96], GeForce GT 120M [G96M], GeForce GT 130 [G94],
 GeForce GT 130M [G96M], GeForce GT 140 [G94], GeForce GT 220 [GT215],
 GeForce GT 220 [GT216], GeForce GT 220/315 [GT215], GeForce GT 220M [G96M],
 GeForce GT 230 OEM [G92], GeForce GT 230 [G94], GeForce GT 230M [GT216M],
 GeForce GT 240 [GT215], GeForce GT 240M [GT216M], GeForce GT 320 [GT215],
 GeForce GT 320M [GT216M], GeForce GT 325M [GT216M], GeForce GT 330 [G92],
 GeForce GT 330 [GT215], GeForce GT 330M [GT216M], GeForce GT 335M [GT215M],
 GeForce GT 340 [GT215], GeForce GT 415 [GT216], GeForce GTS 150M [G94M],
 GeForce GTS 160M [G94M], GeForce GTS 240 [G92], GeForce GTS 250 [G92],
 GeForce GTS 250M [GT215M], GeForce GTS 260M [GT215M],
 GeForce GTS 350M [GT215M], GeForce GTS 360M [GT215M],
 GeForce GTX 260 [GT200], GeForce GTX 260M [G92M], GeForce GTX 275 [GT200b],
 GeForce GTX 280 [GT200], GeForce GTX 280M [G92M], GeForce GTX 285 [GT200b],
 GeForce GTX 285M [G92M], GeForce GTX 295 [GT200], GeForce GTX 295 [GT200b],
 HICx16 + Graphics [G98], ION VGA, ION LE VGA, ION [C79], ION [GT218],
 ION 2 [GT218], NVS 300 [GT218], NVS 2100M [GT218M], NVS 3100M [GT218M],
 NVS 5100M [GT216M], Quadro 400 [GT216GL], Quadro CX [GT200GL],
 Quadro FX 360M [G86GLM], Quadro FX 370 [G84GL], Quadro FX 370 LP [G98GL],
 Quadro FX 370M [G98GLM], Quadro FX 380 [G96GL], Quadro FX 380 LP [GT218GL],
 Quadro FX 380M [GT218GLM], Quadro FX 570 [G84GL], Quadro FX 570M [G84GLM],
 Quadro FX 580 [G96GL], Quadro FX 770M [G96GLM], Quadro FX 880M [GT216GLM],
 Quadro FX 1600M [G84GLM], Quadro FX 1700 [G84GL], Quadro FX 1700M [G96GLM],
 Quadro FX 1800 [G94GL], Quadro FX 1800M [GT215GLM], Quadro FX 2700M [G94GLM],
 Quadro FX 2800M [G92GLM], Quadro FX 3600M [G92GLM], Quadro FX 3700 [G92GL],
 Quadro FX 3700M [G92GLM], Quadro FX 3800 [GT200GL], Quadro FX 3800M [G92GLM],
 Quadro FX 4600 [G80GL], Quadro FX 4700 X2 [G92GL], Quadro FX 4800 [GT200GL],
 Quadro FX 5600 [G80GL], Quadro FX 5800 [GT200GL], Quadro NVS 130M [G86M],
 Quadro NVS 135M [G86M], Quadro NVS 140M [G86M], Quadro NVS 150M [G98M],
 Quadro NVS 160M [G98M], Quadro NVS 290 [G86], Quadro NVS 295 [G98],
 Quadro NVS 320M [G84GLM], Quadro NVS 420 [G98], Quadro NVS 450 [G98],
 Quadro Plex 2200 D2 [GT200GL], Quadro Plex 2200 S4 [GT200GL],
 Quadro VX 200 [G92GL], Tesla C870 [G80GL], Tesla C1060 [GT200GL],
 Tesla M1060 [GT200GL], nForce 720a [C77], nForce 730a [C77],
 nForce 730i [C79], nForce 750a SLI [C77], nForce 760i SLI [C79],
 nForce 780a SLI [C77], nForce 980a SLI [C77], GRID K1 [GK107GL],
 GRID K2 [GK104GL], GRID K340 [GK107GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-340xx-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

Package: libegl-nvidia-legacy-390xx0
Description-md5: a60fa61c318ab2a59c76e662ff249e83
Description-en: NVIDIA binary EGL library (390xx legacy version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 See the description of the nvidia-legacy-390xx-driver package
 or /usr/share/doc/libgl1-nvidia-legacy-390xx-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary EGL implementation provided
 by NVIDIA that is accessed via GLVND.

Package: libegl1-nvidia-legacy-390xx
Description-md5: 56e4f886c9f3c72eb4dc99d9cbd8b367
Description-en: NVIDIA binary EGL library (non-GLVND variant) (390xx legacy version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 This package contains the driver specific binary EGL implementation by NVIDIA
 as a non-GLVND alternative.

Package: libgl1-nvidia-legacy-390xx-glvnd-glx
Description-md5: 049da4b12db475f89190cb58028d8632
Description-en: NVIDIA binary OpenGL/GLX library (GLVND variant) (390xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 See the description of the nvidia-legacy-390xx-driver package
 or /usr/share/doc/libgl1-nvidia-legacy-390xx-glvnd-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This metapackage depends on the NVIDIA binary OpenGL/GLX implementation using
 GLVND and the corresponding GLVND loader library.

Package: libgl1-nvidia-legacy-390xx-glx
Description-md5: 612f17e0be17de4159cf2ad1070501ca
Description-en: NVIDIA binary OpenGL/GLX library (non-GLVND variant) (390xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 See the description of the nvidia-legacy-390xx-driver package
 or /usr/share/doc/libgl1-nvidia-legacy-390xx-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL/GLX implementation
 provided by NVIDIA as a non-GLVND alternative.

Package: libgles-nvidia-legacy-390xx1
Description-md5: bea4ea39959ebbdd25de98f49d216cb7
Description-en: NVIDIA binary OpenGL|ES 1.x library (390xx legacy version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 1.x provides an API for fixed-function hardware.
 .
 See the description of the nvidia-legacy-390xx-driver package
 or /usr/share/doc/libgl1-nvidia-legacy-390xx-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 1.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libgles-nvidia-legacy-390xx2
Description-md5: 52f9840920a47f7e524faed24b4b3b9b
Description-en: NVIDIA binary OpenGL|ES 2.x library (390xx legacy version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 2.x provides an API for programmable hardware including vertex
 and fragment shaders.
 .
 See the description of the nvidia-legacy-390xx-driver package
 or /usr/share/doc/libgl1-nvidia-legacy-390xx-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 2.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libglx-nvidia-legacy-390xx0
Description-md5: ec43a951270bda02c306b14de9e8e007
Description-en: NVIDIA binary GLX library (390xx legacy version)
 GLX ("OpenGL Extension to the X Window System") provides an interface between
 OpenGL and the X Window System as well as extensions to OpenGL itself.
 .
 See the description of the nvidia-legacy-390xx-driver package
 or /usr/share/doc/libgl1-nvidia-legacy-390xx-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary GLX implementation by NVIDIA
 that is accessed via GLVND.

Package: libnvidia-legacy-390xx-cfg1
Description-md5: 9bc82c7ad9f1a6f632677e0edafb1e73
Description-en: NVIDIA binary OpenGL/GLX configuration library (390xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the libnvidia-cfg.so.1 runtime library.

Package: libnvidia-legacy-390xx-compiler
Description-md5: 42631eb26dc8e58eb181c53d89c5ef2c
Description-en: NVIDIA runtime compiler library (390xx legacy version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime compiler library.

Package: libnvidia-legacy-390xx-cuda1
Description-md5: f3e859eb6554001feb0ade560946b63c
Description-en: NVIDIA CUDA Driver Library (390xx legacy version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the CUDA Driver API library for low-level CUDA
 programming.
 .
 Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
 series, as well as the Tesla computing processors.
 .
 Please see the nvidia-legacy-390xx-kernel-dkms or
 nvidia-legacy-390xx-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-legacy-390xx-kernel-390.144.

Package: libnvidia-legacy-390xx-cuda1-i386
Description-md5: f39b2aebe877722a81b97212f84bb0ee
Description-en: NVIDIA CUDA 32-bit runtime library (390xx legacy version)
 This metapackage helps the automatic installation of the 32-bit NVIDIA CUDA
 library when installing libnvidia-legacy-390xx-cuda1 on amd64 with foreign
 architecture i386 enabled.

Package: libnvidia-legacy-390xx-eglcore
Description-md5: 0a0fe1aac2d4033df056938908ded337
Description-en: NVIDIA binary EGL core libraries (390xx legacy version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of EGL and OpenGL|ES.

Package: libnvidia-legacy-390xx-encode1
Description-md5: c87b9e738ce53112a391c56e9788dffd
Description-en: NVENC Video Encoding runtime library (390xx legacy version)
 The NVENC Video Encoding library provides an interface to video encoder
 hardware on supported NVIDIA GPUs.
 .
 This package contains the nvidia-encode runtime library.

Package: libnvidia-legacy-390xx-fatbinaryloader
Description-md5: 975b8d8bd68647a620b35307f3e8390e
Description-en: NVIDIA FAT binary loader (390xx legacy version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the FAT multiarchitecture binary loader.

Package: libnvidia-legacy-390xx-fbc1
Description-md5: bde377fb65e2587d6855072c3533632c
Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library (390xx legacy version)
 The NVIDIA OpenGL-based Framebuffer Capture (NvFBCOpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvFBCOpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvFBCOpenGL runtime library.

Package: libnvidia-legacy-390xx-glcore
Description-md5: b18f86a6f16227d3e4a96572591066ff
Description-en: NVIDIA binary OpenGL/GLX core libraries (390xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of OpenGL and GLX.

Package: libnvidia-legacy-390xx-ifr1
Description-md5: 3ae915d7da7ca6369aa180b408066b35
Description-en: NVIDIA OpenGL-based Inband Frame Readback runtime library (390xx legacy)
 The NVIDIA OpenGL-based Inband Frame Readback (NvIFROpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvIFROpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvIFROpenGL runtime library.

Package: libnvidia-legacy-390xx-ml1
Description-md5: 11bde97b7c0a056cc8a84831f6b310be
Description-en: NVIDIA Management Library (NVML) runtime library (390xx legacy version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 It provides a direct access to the queries and commands exposed via nvidia-smi.
 .
 This package contains the nvidia-ml runtime library.

Package: libnvidia-legacy-390xx-nvcuvid1
Description-md5: 8e3dc8f79228a41fd669f0a94c9da901
Description-en: NVIDIA CUDA Video Decoder runtime library (390xx legacy version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to
 hardware video decoding capabilities on NVIDIA GPUs with CUDA.
 .
 This package contains the nvcuvid runtime library.

Package: libnvidia-legacy-390xx-ptxjitcompiler1
Description-md5: 61970f853027d9435e024596fbdc7f34
Description-en: NVIDIA PTX JIT Compiler library (390xx legacy version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime PTX JIT Compiler library.

Package: nvidia-legacy-390xx-alternative
Description-md5: 920ec173cdd5c9c2b323ad02ecdecc5b
Description-en: allows the selection of NVIDIA as GLX provider (390xx legacy version)
 In setups with several NVIDIA driver versions installed (e.g. current and
 legacy) this metapackage registers an alternative to allow easy switching
 between the different versions.
 .
 Use 'update-glx --config nvidia' to select a version.
 .
 This package does not depend on the corresponding NVIDIA libraries.
 In order to install the NVIDIA driver and libraries, install the
 nvidia-legacy-390xx-driver package instead.

Package: nvidia-legacy-390xx-driver
Description-md5: 2e46a921f4578bec2e6106228674d052
Description-en: NVIDIA metapackage (390xx legacy version)
 This metapackage depends on the NVIDIA binary driver and libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES/Vulkan applications via a direct-rendering X Server.
 .
 Please see the nvidia-legacy-390xx-kernel-dkms or
 nvidia-legacy-390xx-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-legacy-390xx-kernel-390.144.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 410M [GF119M], GeForce 510 [GF119], GeForce 605 [GF119],
 GeForce 610M [GF108M], GeForce 610M [GF119M], GeForce 610M [GF117M],
 GeForce 705M [GF119M], GeForce 710A [GK107M], GeForce 710M [GF117M],
 GeForce 810M [GF117M], GeForce 810M [GK107M], GeForce 820M [GF117M],
 GeForce 820M [GK107M], GeForce 825M [GK208M], GeForce 910M [GK208BM],
 GeForce GT 415M [GF108M], GeForce GT 420 [GF108], GeForce GT 420M [GF108M],
 GeForce GT 425M [GF108M], GeForce GT 430 [GF108], GeForce GT 435M [GF106M],
 GeForce GT 435M [GF108M], GeForce GT 440 [GF106], GeForce GT 440 [GF108],
 GeForce GT 445M [GF106M], GeForce GT 520 [GF108], GeForce GT 520 [GF119],
 GeForce GT 520M [GF108M], GeForce GT 520M [GF119M],
 GeForce GT 520MX [GF119M], GeForce GT 525M [GF108M], GeForce GT 530 [GF108],
 GeForce GT 540M [GF108M], GeForce GT 545 OEM [GF116], GeForce GT 545 [GF116],
 GeForce GT 550M [GF106M], GeForce GT 550M [GF108M], GeForce GT 550M [GF116M],
 GeForce GT 555M [GF106M], GeForce GT 555M [GF108M], GeForce GT 555M [GF116M],
 GeForce GT 560M [GF116M], GeForce GT 610 [GF108], GeForce GT 610 [GF119],
 GeForce GT 620 OEM [GF119], GeForce GT 620 [GF108], GeForce GT 620M [GF108M],
 GeForce GT 620M [GF117M], GeForce GT 620M LE [GF108M],
 GeForce GT 625 OEM [GF119], GeForce GT 625M [GF117M], GeForce GT 630 [GF108],
 GeForce GT 630M [GF117M], GeForce GT 630M LE [GF108M],
 GeForce GT 635M [GF108M], GeForce GT 635M [GF116M],
 GeForce GT 635M LE [GF108M], GeForce GT 640 OEM [GF116],
 GeForce GT 640M LE [GF108M], GeForce GT 640M LE [GK107M],
 GeForce GT 640M Mac Edition [GK107M], GeForce GT 645 OEM [GF114],
 GeForce GT 645M [GK107M], GeForce GT 650M [GK107M],
 GeForce GT 650M Mac Edition [GK107M], GeForce GT 705 [GF119],
 GeForce GT 720M [GF117M], GeForce GT 720M [GK208M], GeForce GT 730 [GF108],
 GeForce GT 730M [GK107M], GeForce GT 730M [GK208M], GeForce GT 735M [GK208M],
 GeForce GT 740M [GK107M], GeForce GT 745M [GK107M], GeForce GT 750M [GK107M],
 GeForce GT 750M Mac Edition [GK107M], GeForce GT 755M [GK107M],
 GeForce GT 755M Mac Edition [GK107M], GeForce GTS 450 OEM [GF106],
 GeForce GTS 450 [GF106], GeForce GTS 450 Rev. 2 [GF116],
 GeForce GTS 450 Rev. 3 [GF116], GeForce GTX 460 OEM [GF104],
 GeForce GTX 460 [GF104], GeForce GTX 460 v2 [GF114],
 GeForce GTX 460 SE [GF104], GeForce GTX 460 SE v2 [GF114],
 GeForce GTX 460M [GF106M], GeForce GTX 465 [GF100], GeForce GTX 470 [GF100],
 GeForce GTX 470M [GF104M], GeForce GTX 480 [GF100],
 GeForce GTX 480M [GF100M], GeForce GTX 485M [GF104M],
 GeForce GTX 550 Ti [GF116], GeForce GTX 555 [GF114],
 GeForce GTX 560 OEM [GF110], GeForce GTX 560 [GF114],
 GeForce GTX 560 SE [GF114], GeForce GTX 560 Ti [GF114],
 GeForce GTX 560 Ti OEM [GF110], GeForce GTX 560 Ti 448 Cores [GF110],
 GeForce GTX 570 [GF110], GeForce GTX 570 Rev. 2 [GF110],
 GeForce GTX 570M [GF114M], GeForce GTX 580 [GF110],
 GeForce GTX 580 Rev. 2 [GF110], GeForce GTX 580M [GF114M],
 GeForce GTX 590 [GF110], GeForce GTX 660M [GK107M],
 GeForce GTX 660M Mac Edition [GK107M], GeForce GTX 670M [GF114M],
 GeForce GTX 670MX [GK104M], GeForce GTX 675M [GF114M],
 GeForce GTX 675MX [GK104M], GeForce GTX 675MX Mac Edition [GK104M],
 GeForce GTX 680M [GK104M], GeForce GTX 680MX [GK104M],
 GeForce GTX 765M [GK106M], GeForce GTX 770M [GK106M],
 GeForce GTX 775M Mac Edition [GK104M], GeForce GTX 780M [GK104M],
 GeForce GTX 780M Mac Edition [GK104M], GeForce GTX 860M [GK104M],
 GeForce GTX 880M [GK104M], NVS 310 [GF119], NVS 315 [GF119],
 NVS 4200M [GF119M], NVS 5200M [GF108GLM], NVS 5400M [GF108M],
 Quadro 500M [GF108GLM], Quadro 600 [GF108GL], Quadro 1000M [GF108GLM],
 Quadro 2000 [GF106GL], Quadro 2000M [GF106GLM], Quadro 3000M [GF104GLM],
 Quadro 4000 [GF100GL], Quadro 4000M [GF104GLM], Quadro 5000 [GF100GL],
 Quadro 5000M [GF100GLM], Quadro 5010M [GF100GLM], Quadro 6000 [GF100GL],
 Quadro 7000 [GF100GL], Quadro K500M [GK107GLM], Quadro K510M [GK208GLM],
 Quadro K610M [GK208GLM], Quadro K1000M [GK107GLM], Quadro K1100M [GK107GLM],
 Quadro K2000M [GK107GLM], Quadro K2100M [GK106GLM], Quadro K3000M [GK104GLM],
 Quadro K3100M [GK104GLM], Quadro K4000M [GK104GLM], Quadro K4100M [GK104GLM],
 Quadro K5000M [GK104GLM], Quadro K5100M [GK104GLM],
 Quadro NVS 4200M [GF119M], Tesla C2050 [GF100GL], Tesla C2050 [GF110GL],
 Tesla C2070 [GF100GL], Tesla C2075 [GF110GL], Tesla M2070 [GF100GL],
 Tesla M2070-Q [GF100GL], Tesla M2075 [GF110GL], Tesla M2090 [GF110GL],
 Tesla T20 Processor [GF100GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-390xx-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 Building the kernel module has been tested up to Linux 5.10.

Package: nvidia-legacy-390xx-driver-bin
Description-md5: 00d4cddd256da0b3b2448703e875ed33
Description-en: NVIDIA driver support binaries (390xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains supporting binaries for the driver.

Package: nvidia-legacy-390xx-driver-libs
Description-md5: bffc248c9dcc39fc9ab0772c9b880247
Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries) (390xx legacy version)
 This metapackage depends on the NVIDIA binary libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.

Package: nvidia-legacy-390xx-driver-libs-i386
Description-md5: 3bb1065d7c554282e7f0df6304528ad8
Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES 32-bit libraries) (390xx legacy)
 This metapackage helps the automatic installation of the 32-bit NVIDIA
 OpenGL/GLX/EGL/GLES libraries when installing nvidia-legacy-390xx-driver-libs
 on amd64 with foreign architecture i386 enabled.

Package: nvidia-legacy-390xx-driver-libs-nonglvnd
Description-md5: 885d686f8a861f637067dfb88abfe765
Description-en: NVIDIA metapackage (non-GLVND OpenGL/GLX/EGL/GLES libraries) (390xx legacy)
 This metapackage depends on the (non-GLVND) NVIDIA binary libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.

Package: nvidia-legacy-390xx-driver-libs-nonglvnd-i386
Description-md5: 69992d2790f607bd7aaeae3ebf29c7e5
Description-en: NVIDIA metapackage (non-GLVND OpenGL/EGL etc. 32-bit libraries) (390xx legacy)
 This metapackage helps the automatic installation of the 32-bit NVIDIA
 OpenGL/GLX/EGL/GLES libraries when installing
 nvidia-legacy-390xx-driver-libs-nonglvnd
 on amd64 with foreign architecture i386 enabled.

Package: nvidia-legacy-390xx-egl-icd
Description-md5: 48bb1c6fd6391aad335bab10bc4ab1eb
Description-en: NVIDIA EGL installable client driver (ICD)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 EGL via GLVND which supports NVIDIA GPUs.

Package: nvidia-legacy-390xx-kernel-dkms
Description-md5: 60d3f80317517e0bd86e5e347f203669
Description-en: NVIDIA binary kernel module DKMS source (390xx legacy version)
 This package builds the NVIDIA Xorg binary kernel module needed by
 nvidia-legacy-390xx-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 410M [GF119M], GeForce 510 [GF119], GeForce 605 [GF119],
 GeForce 610M [GF108M], GeForce 610M [GF119M], GeForce 610M [GF117M],
 GeForce 705M [GF119M], GeForce 710A [GK107M], GeForce 710M [GF117M],
 GeForce 810M [GF117M], GeForce 810M [GK107M], GeForce 820M [GF117M],
 GeForce 820M [GK107M], GeForce 825M [GK208M], GeForce 910M [GK208BM],
 GeForce GT 415M [GF108M], GeForce GT 420 [GF108], GeForce GT 420M [GF108M],
 GeForce GT 425M [GF108M], GeForce GT 430 [GF108], GeForce GT 435M [GF106M],
 GeForce GT 435M [GF108M], GeForce GT 440 [GF106], GeForce GT 440 [GF108],
 GeForce GT 445M [GF106M], GeForce GT 520 [GF108], GeForce GT 520 [GF119],
 GeForce GT 520M [GF108M], GeForce GT 520M [GF119M],
 GeForce GT 520MX [GF119M], GeForce GT 525M [GF108M], GeForce GT 530 [GF108],
 GeForce GT 540M [GF108M], GeForce GT 545 OEM [GF116], GeForce GT 545 [GF116],
 GeForce GT 550M [GF106M], GeForce GT 550M [GF108M], GeForce GT 550M [GF116M],
 GeForce GT 555M [GF106M], GeForce GT 555M [GF108M], GeForce GT 555M [GF116M],
 GeForce GT 560M [GF116M], GeForce GT 610 [GF108], GeForce GT 610 [GF119],
 GeForce GT 620 OEM [GF119], GeForce GT 620 [GF108], GeForce GT 620M [GF108M],
 GeForce GT 620M [GF117M], GeForce GT 620M LE [GF108M],
 GeForce GT 625 OEM [GF119], GeForce GT 625M [GF117M], GeForce GT 630 [GF108],
 GeForce GT 630M [GF117M], GeForce GT 630M LE [GF108M],
 GeForce GT 635M [GF108M], GeForce GT 635M [GF116M],
 GeForce GT 635M LE [GF108M], GeForce GT 640 OEM [GF116],
 GeForce GT 640M LE [GF108M], GeForce GT 640M LE [GK107M],
 GeForce GT 640M Mac Edition [GK107M], GeForce GT 645 OEM [GF114],
 GeForce GT 645M [GK107M], GeForce GT 650M [GK107M],
 GeForce GT 650M Mac Edition [GK107M], GeForce GT 705 [GF119],
 GeForce GT 720M [GF117M], GeForce GT 720M [GK208M], GeForce GT 730 [GF108],
 GeForce GT 730M [GK107M], GeForce GT 730M [GK208M], GeForce GT 735M [GK208M],
 GeForce GT 740M [GK107M], GeForce GT 745M [GK107M], GeForce GT 750M [GK107M],
 GeForce GT 750M Mac Edition [GK107M], GeForce GT 755M [GK107M],
 GeForce GT 755M Mac Edition [GK107M], GeForce GTS 450 OEM [GF106],
 GeForce GTS 450 [GF106], GeForce GTS 450 Rev. 2 [GF116],
 GeForce GTS 450 Rev. 3 [GF116], GeForce GTX 460 OEM [GF104],
 GeForce GTX 460 [GF104], GeForce GTX 460 v2 [GF114],
 GeForce GTX 460 SE [GF104], GeForce GTX 460 SE v2 [GF114],
 GeForce GTX 460M [GF106M], GeForce GTX 465 [GF100], GeForce GTX 470 [GF100],
 GeForce GTX 470M [GF104M], GeForce GTX 480 [GF100],
 GeForce GTX 480M [GF100M], GeForce GTX 485M [GF104M],
 GeForce GTX 550 Ti [GF116], GeForce GTX 555 [GF114],
 GeForce GTX 560 OEM [GF110], GeForce GTX 560 [GF114],
 GeForce GTX 560 SE [GF114], GeForce GTX 560 Ti [GF114],
 GeForce GTX 560 Ti OEM [GF110], GeForce GTX 560 Ti 448 Cores [GF110],
 GeForce GTX 570 [GF110], GeForce GTX 570 Rev. 2 [GF110],
 GeForce GTX 570M [GF114M], GeForce GTX 580 [GF110],
 GeForce GTX 580 Rev. 2 [GF110], GeForce GTX 580M [GF114M],
 GeForce GTX 590 [GF110], GeForce GTX 660M [GK107M],
 GeForce GTX 660M Mac Edition [GK107M], GeForce GTX 670M [GF114M],
 GeForce GTX 670MX [GK104M], GeForce GTX 675M [GF114M],
 GeForce GTX 675MX [GK104M], GeForce GTX 675MX Mac Edition [GK104M],
 GeForce GTX 680M [GK104M], GeForce GTX 680MX [GK104M],
 GeForce GTX 765M [GK106M], GeForce GTX 770M [GK106M],
 GeForce GTX 775M Mac Edition [GK104M], GeForce GTX 780M [GK104M],
 GeForce GTX 780M Mac Edition [GK104M], GeForce GTX 860M [GK104M],
 GeForce GTX 880M [GK104M], NVS 310 [GF119], NVS 315 [GF119],
 NVS 4200M [GF119M], NVS 5200M [GF108GLM], NVS 5400M [GF108M],
 Quadro 500M [GF108GLM], Quadro 600 [GF108GL], Quadro 1000M [GF108GLM],
 Quadro 2000 [GF106GL], Quadro 2000M [GF106GLM], Quadro 3000M [GF104GLM],
 Quadro 4000 [GF100GL], Quadro 4000M [GF104GLM], Quadro 5000 [GF100GL],
 Quadro 5000M [GF100GLM], Quadro 5010M [GF100GLM], Quadro 6000 [GF100GL],
 Quadro 7000 [GF100GL], Quadro K500M [GK107GLM], Quadro K510M [GK208GLM],
 Quadro K610M [GK208GLM], Quadro K1000M [GK107GLM], Quadro K1100M [GK107GLM],
 Quadro K2000M [GK107GLM], Quadro K2100M [GK106GLM], Quadro K3000M [GK104GLM],
 Quadro K3100M [GK104GLM], Quadro K4000M [GK104GLM], Quadro K4100M [GK104GLM],
 Quadro K5000M [GK104GLM], Quadro K5100M [GK104GLM],
 Quadro NVS 4200M [GF119M], Tesla C2050 [GF100GL], Tesla C2050 [GF110GL],
 Tesla C2070 [GF100GL], Tesla C2075 [GF110GL], Tesla M2070 [GF100GL],
 Tesla M2070-Q [GF100GL], Tesla M2075 [GF110GL], Tesla M2090 [GF110GL],
 Tesla T20 Processor [GF100GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-390xx-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 armhf architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-390xx-kernel-dkms
Description-md5: 8845e7ea48a96d135f8cb269e7410168
Description-en: NVIDIA binary kernel module DKMS source (390xx legacy version)
 This package builds the NVIDIA Xorg binary kernel module needed by
 nvidia-legacy-390xx-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 410M [GF119M], GeForce 510 [GF119], GeForce 605 [GF119],
 GeForce 610M [GF108M], GeForce 610M [GF119M], GeForce 610M [GF117M],
 GeForce 705M [GF119M], GeForce 710A [GK107M], GeForce 710M [GF117M],
 GeForce 810M [GF117M], GeForce 810M [GK107M], GeForce 820M [GF117M],
 GeForce 820M [GK107M], GeForce 825M [GK208M], GeForce 910M [GK208BM],
 GeForce GT 415M [GF108M], GeForce GT 420 [GF108], GeForce GT 420M [GF108M],
 GeForce GT 425M [GF108M], GeForce GT 430 [GF108], GeForce GT 435M [GF106M],
 GeForce GT 435M [GF108M], GeForce GT 440 [GF106], GeForce GT 440 [GF108],
 GeForce GT 445M [GF106M], GeForce GT 520 [GF108], GeForce GT 520 [GF119],
 GeForce GT 520M [GF108M], GeForce GT 520M [GF119M],
 GeForce GT 520MX [GF119M], GeForce GT 525M [GF108M], GeForce GT 530 [GF108],
 GeForce GT 540M [GF108M], GeForce GT 545 OEM [GF116], GeForce GT 545 [GF116],
 GeForce GT 550M [GF106M], GeForce GT 550M [GF108M], GeForce GT 550M [GF116M],
 GeForce GT 555M [GF106M], GeForce GT 555M [GF108M], GeForce GT 555M [GF116M],
 GeForce GT 560M [GF116M], GeForce GT 610 [GF108], GeForce GT 610 [GF119],
 GeForce GT 620 OEM [GF119], GeForce GT 620 [GF108], GeForce GT 620M [GF108M],
 GeForce GT 620M [GF117M], GeForce GT 620M LE [GF108M],
 GeForce GT 625 OEM [GF119], GeForce GT 625M [GF117M], GeForce GT 630 [GF108],
 GeForce GT 630M [GF117M], GeForce GT 630M LE [GF108M],
 GeForce GT 635M [GF108M], GeForce GT 635M [GF116M],
 GeForce GT 635M LE [GF108M], GeForce GT 640 OEM [GF116],
 GeForce GT 640M LE [GF108M], GeForce GT 640M LE [GK107M],
 GeForce GT 640M Mac Edition [GK107M], GeForce GT 645 OEM [GF114],
 GeForce GT 645M [GK107M], GeForce GT 650M [GK107M],
 GeForce GT 650M Mac Edition [GK107M], GeForce GT 705 [GF119],
 GeForce GT 720M [GF117M], GeForce GT 720M [GK208M], GeForce GT 730 [GF108],
 GeForce GT 730M [GK107M], GeForce GT 730M [GK208M], GeForce GT 735M [GK208M],
 GeForce GT 740M [GK107M], GeForce GT 745M [GK107M], GeForce GT 750M [GK107M],
 GeForce GT 750M Mac Edition [GK107M], GeForce GT 755M [GK107M],
 GeForce GT 755M Mac Edition [GK107M], GeForce GTS 450 OEM [GF106],
 GeForce GTS 450 [GF106], GeForce GTS 450 Rev. 2 [GF116],
 GeForce GTS 450 Rev. 3 [GF116], GeForce GTX 460 OEM [GF104],
 GeForce GTX 460 [GF104], GeForce GTX 460 v2 [GF114],
 GeForce GTX 460 SE [GF104], GeForce GTX 460 SE v2 [GF114],
 GeForce GTX 460M [GF106M], GeForce GTX 465 [GF100], GeForce GTX 470 [GF100],
 GeForce GTX 470M [GF104M], GeForce GTX 480 [GF100],
 GeForce GTX 480M [GF100M], GeForce GTX 485M [GF104M],
 GeForce GTX 550 Ti [GF116], GeForce GTX 555 [GF114],
 GeForce GTX 560 OEM [GF110], GeForce GTX 560 [GF114],
 GeForce GTX 560 SE [GF114], GeForce GTX 560 Ti [GF114],
 GeForce GTX 560 Ti OEM [GF110], GeForce GTX 560 Ti 448 Cores [GF110],
 GeForce GTX 570 [GF110], GeForce GTX 570 Rev. 2 [GF110],
 GeForce GTX 570M [GF114M], GeForce GTX 580 [GF110],
 GeForce GTX 580 Rev. 2 [GF110], GeForce GTX 580M [GF114M],
 GeForce GTX 590 [GF110], GeForce GTX 660M [GK107M],
 GeForce GTX 660M Mac Edition [GK107M], GeForce GTX 670M [GF114M],
 GeForce GTX 670MX [GK104M], GeForce GTX 675M [GF114M],
 GeForce GTX 675MX [GK104M], GeForce GTX 675MX Mac Edition [GK104M],
 GeForce GTX 680M [GK104M], GeForce GTX 680MX [GK104M],
 GeForce GTX 765M [GK106M], GeForce GTX 770M [GK106M],
 GeForce GTX 775M Mac Edition [GK104M], GeForce GTX 780M [GK104M],
 GeForce GTX 780M Mac Edition [GK104M], GeForce GTX 860M [GK104M],
 GeForce GTX 880M [GK104M], NVS 310 [GF119], NVS 315 [GF119],
 NVS 4200M [GF119M], NVS 5200M [GF108GLM], NVS 5400M [GF108M],
 Quadro 500M [GF108GLM], Quadro 600 [GF108GL], Quadro 1000M [GF108GLM],
 Quadro 2000 [GF106GL], Quadro 2000M [GF106GLM], Quadro 3000M [GF104GLM],
 Quadro 4000 [GF100GL], Quadro 4000M [GF104GLM], Quadro 5000 [GF100GL],
 Quadro 5000M [GF100GLM], Quadro 5010M [GF100GLM], Quadro 6000 [GF100GL],
 Quadro 7000 [GF100GL], Quadro K500M [GK107GLM], Quadro K510M [GK208GLM],
 Quadro K610M [GK208GLM], Quadro K1000M [GK107GLM], Quadro K1100M [GK107GLM],
 Quadro K2000M [GK107GLM], Quadro K2100M [GK106GLM], Quadro K3000M [GK104GLM],
 Quadro K3100M [GK104GLM], Quadro K4000M [GK104GLM], Quadro K4100M [GK104GLM],
 Quadro K5000M [GK104GLM], Quadro K5100M [GK104GLM],
 Quadro NVS 4200M [GF119M], Tesla C2050 [GF100GL], Tesla C2050 [GF110GL],
 Tesla C2070 [GF100GL], Tesla C2075 [GF110GL], Tesla M2070 [GF100GL],
 Tesla M2070-Q [GF100GL], Tesla M2075 [GF110GL], Tesla M2090 [GF110GL],
 Tesla T20 Processor [GF100GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-390xx-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-390xx-kernel-dkms
Description-md5: a48dda0b73f8a7301e11a584dd02a34c
Description-en: NVIDIA binary kernel module DKMS source (390xx legacy version)
 This package builds the NVIDIA Xorg binary kernel module needed by
 nvidia-legacy-390xx-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 410M [GF119M], GeForce 510 [GF119], GeForce 605 [GF119],
 GeForce 610M [GF108M], GeForce 610M [GF119M], GeForce 610M [GF117M],
 GeForce 705M [GF119M], GeForce 710A [GK107M], GeForce 710M [GF117M],
 GeForce 810M [GF117M], GeForce 810M [GK107M], GeForce 820M [GF117M],
 GeForce 820M [GK107M], GeForce 825M [GK208M], GeForce 910M [GK208BM],
 GeForce GT 415M [GF108M], GeForce GT 420 [GF108], GeForce GT 420M [GF108M],
 GeForce GT 425M [GF108M], GeForce GT 430 [GF108], GeForce GT 435M [GF106M],
 GeForce GT 435M [GF108M], GeForce GT 440 [GF106], GeForce GT 440 [GF108],
 GeForce GT 445M [GF106M], GeForce GT 520 [GF108], GeForce GT 520 [GF119],
 GeForce GT 520M [GF108M], GeForce GT 520M [GF119M],
 GeForce GT 520MX [GF119M], GeForce GT 525M [GF108M], GeForce GT 530 [GF108],
 GeForce GT 540M [GF108M], GeForce GT 545 OEM [GF116], GeForce GT 545 [GF116],
 GeForce GT 550M [GF106M], GeForce GT 550M [GF108M], GeForce GT 550M [GF116M],
 GeForce GT 555M [GF106M], GeForce GT 555M [GF108M], GeForce GT 555M [GF116M],
 GeForce GT 560M [GF116M], GeForce GT 610 [GF108], GeForce GT 610 [GF119],
 GeForce GT 620 OEM [GF119], GeForce GT 620 [GF108], GeForce GT 620M [GF108M],
 GeForce GT 620M [GF117M], GeForce GT 620M LE [GF108M],
 GeForce GT 625 OEM [GF119], GeForce GT 625M [GF117M], GeForce GT 630 [GF108],
 GeForce GT 630M [GF117M], GeForce GT 630M LE [GF108M],
 GeForce GT 635M [GF108M], GeForce GT 635M [GF116M],
 GeForce GT 635M LE [GF108M], GeForce GT 640 OEM [GF116],
 GeForce GT 640M LE [GF108M], GeForce GT 640M LE [GK107M],
 GeForce GT 640M Mac Edition [GK107M], GeForce GT 645 OEM [GF114],
 GeForce GT 645M [GK107M], GeForce GT 650M [GK107M],
 GeForce GT 650M Mac Edition [GK107M], GeForce GT 705 [GF119],
 GeForce GT 720M [GF117M], GeForce GT 720M [GK208M], GeForce GT 730 [GF108],
 GeForce GT 730M [GK107M], GeForce GT 730M [GK208M], GeForce GT 735M [GK208M],
 GeForce GT 740M [GK107M], GeForce GT 745M [GK107M], GeForce GT 750M [GK107M],
 GeForce GT 750M Mac Edition [GK107M], GeForce GT 755M [GK107M],
 GeForce GT 755M Mac Edition [GK107M], GeForce GTS 450 OEM [GF106],
 GeForce GTS 450 [GF106], GeForce GTS 450 Rev. 2 [GF116],
 GeForce GTS 450 Rev. 3 [GF116], GeForce GTX 460 OEM [GF104],
 GeForce GTX 460 [GF104], GeForce GTX 460 v2 [GF114],
 GeForce GTX 460 SE [GF104], GeForce GTX 460 SE v2 [GF114],
 GeForce GTX 460M [GF106M], GeForce GTX 465 [GF100], GeForce GTX 470 [GF100],
 GeForce GTX 470M [GF104M], GeForce GTX 480 [GF100],
 GeForce GTX 480M [GF100M], GeForce GTX 485M [GF104M],
 GeForce GTX 550 Ti [GF116], GeForce GTX 555 [GF114],
 GeForce GTX 560 OEM [GF110], GeForce GTX 560 [GF114],
 GeForce GTX 560 SE [GF114], GeForce GTX 560 Ti [GF114],
 GeForce GTX 560 Ti OEM [GF110], GeForce GTX 560 Ti 448 Cores [GF110],
 GeForce GTX 570 [GF110], GeForce GTX 570 Rev. 2 [GF110],
 GeForce GTX 570M [GF114M], GeForce GTX 580 [GF110],
 GeForce GTX 580 Rev. 2 [GF110], GeForce GTX 580M [GF114M],
 GeForce GTX 590 [GF110], GeForce GTX 660M [GK107M],
 GeForce GTX 660M Mac Edition [GK107M], GeForce GTX 670M [GF114M],
 GeForce GTX 670MX [GK104M], GeForce GTX 675M [GF114M],
 GeForce GTX 675MX [GK104M], GeForce GTX 675MX Mac Edition [GK104M],
 GeForce GTX 680M [GK104M], GeForce GTX 680MX [GK104M],
 GeForce GTX 765M [GK106M], GeForce GTX 770M [GK106M],
 GeForce GTX 775M Mac Edition [GK104M], GeForce GTX 780M [GK104M],
 GeForce GTX 780M Mac Edition [GK104M], GeForce GTX 860M [GK104M],
 GeForce GTX 880M [GK104M], NVS 310 [GF119], NVS 315 [GF119],
 NVS 4200M [GF119M], NVS 5200M [GF108GLM], NVS 5400M [GF108M],
 Quadro 500M [GF108GLM], Quadro 600 [GF108GL], Quadro 1000M [GF108GLM],
 Quadro 2000 [GF106GL], Quadro 2000M [GF106GLM], Quadro 3000M [GF104GLM],
 Quadro 4000 [GF100GL], Quadro 4000M [GF104GLM], Quadro 5000 [GF100GL],
 Quadro 5000M [GF100GLM], Quadro 5010M [GF100GLM], Quadro 6000 [GF100GL],
 Quadro 7000 [GF100GL], Quadro K500M [GK107GLM], Quadro K510M [GK208GLM],
 Quadro K610M [GK208GLM], Quadro K1000M [GK107GLM], Quadro K1100M [GK107GLM],
 Quadro K2000M [GK107GLM], Quadro K2100M [GK106GLM], Quadro K3000M [GK104GLM],
 Quadro K3100M [GK104GLM], Quadro K4000M [GK104GLM], Quadro K4100M [GK104GLM],
 Quadro K5000M [GK104GLM], Quadro K5100M [GK104GLM],
 Quadro NVS 4200M [GF119M], Tesla C2050 [GF100GL], Tesla C2050 [GF110GL],
 Tesla C2070 [GF100GL], Tesla C2075 [GF110GL], Tesla M2070 [GF100GL],
 Tesla M2070-Q [GF100GL], Tesla M2075 [GF110GL], Tesla M2090 [GF110GL],
 Tesla T20 Processor [GF100GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-390xx-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 i386 architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-390xx-kernel-source
Description-md5: 777bf5ef205f3cbe6b421e0319090316
Description-en: NVIDIA binary kernel module source (390xx legacy version)
 This package provides the source for the NVIDIA Xorg binary kernel module
 needed by nvidia-legacy-390xx-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-legacy-390xx-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-legacy-390xx-kernel-dkms instead.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 410M [GF119M], GeForce 510 [GF119], GeForce 605 [GF119],
 GeForce 610M [GF108M], GeForce 610M [GF119M], GeForce 610M [GF117M],
 GeForce 705M [GF119M], GeForce 710A [GK107M], GeForce 710M [GF117M],
 GeForce 810M [GF117M], GeForce 810M [GK107M], GeForce 820M [GF117M],
 GeForce 820M [GK107M], GeForce 825M [GK208M], GeForce 910M [GK208BM],
 GeForce GT 415M [GF108M], GeForce GT 420 [GF108], GeForce GT 420M [GF108M],
 GeForce GT 425M [GF108M], GeForce GT 430 [GF108], GeForce GT 435M [GF106M],
 GeForce GT 435M [GF108M], GeForce GT 440 [GF106], GeForce GT 440 [GF108],
 GeForce GT 445M [GF106M], GeForce GT 520 [GF108], GeForce GT 520 [GF119],
 GeForce GT 520M [GF108M], GeForce GT 520M [GF119M],
 GeForce GT 520MX [GF119M], GeForce GT 525M [GF108M], GeForce GT 530 [GF108],
 GeForce GT 540M [GF108M], GeForce GT 545 OEM [GF116], GeForce GT 545 [GF116],
 GeForce GT 550M [GF106M], GeForce GT 550M [GF108M], GeForce GT 550M [GF116M],
 GeForce GT 555M [GF106M], GeForce GT 555M [GF108M], GeForce GT 555M [GF116M],
 GeForce GT 560M [GF116M], GeForce GT 610 [GF108], GeForce GT 610 [GF119],
 GeForce GT 620 OEM [GF119], GeForce GT 620 [GF108], GeForce GT 620M [GF108M],
 GeForce GT 620M [GF117M], GeForce GT 620M LE [GF108M],
 GeForce GT 625 OEM [GF119], GeForce GT 625M [GF117M], GeForce GT 630 [GF108],
 GeForce GT 630M [GF117M], GeForce GT 630M LE [GF108M],
 GeForce GT 635M [GF108M], GeForce GT 635M [GF116M],
 GeForce GT 635M LE [GF108M], GeForce GT 640 OEM [GF116],
 GeForce GT 640M LE [GF108M], GeForce GT 640M LE [GK107M],
 GeForce GT 640M Mac Edition [GK107M], GeForce GT 645 OEM [GF114],
 GeForce GT 645M [GK107M], GeForce GT 650M [GK107M],
 GeForce GT 650M Mac Edition [GK107M], GeForce GT 705 [GF119],
 GeForce GT 720M [GF117M], GeForce GT 720M [GK208M], GeForce GT 730 [GF108],
 GeForce GT 730M [GK107M], GeForce GT 730M [GK208M], GeForce GT 735M [GK208M],
 GeForce GT 740M [GK107M], GeForce GT 745M [GK107M], GeForce GT 750M [GK107M],
 GeForce GT 750M Mac Edition [GK107M], GeForce GT 755M [GK107M],
 GeForce GT 755M Mac Edition [GK107M], GeForce GTS 450 OEM [GF106],
 GeForce GTS 450 [GF106], GeForce GTS 450 Rev. 2 [GF116],
 GeForce GTS 450 Rev. 3 [GF116], GeForce GTX 460 OEM [GF104],
 GeForce GTX 460 [GF104], GeForce GTX 460 v2 [GF114],
 GeForce GTX 460 SE [GF104], GeForce GTX 460 SE v2 [GF114],
 GeForce GTX 460M [GF106M], GeForce GTX 465 [GF100], GeForce GTX 470 [GF100],
 GeForce GTX 470M [GF104M], GeForce GTX 480 [GF100],
 GeForce GTX 480M [GF100M], GeForce GTX 485M [GF104M],
 GeForce GTX 550 Ti [GF116], GeForce GTX 555 [GF114],
 GeForce GTX 560 OEM [GF110], GeForce GTX 560 [GF114],
 GeForce GTX 560 SE [GF114], GeForce GTX 560 Ti [GF114],
 GeForce GTX 560 Ti OEM [GF110], GeForce GTX 560 Ti 448 Cores [GF110],
 GeForce GTX 570 [GF110], GeForce GTX 570 Rev. 2 [GF110],
 GeForce GTX 570M [GF114M], GeForce GTX 580 [GF110],
 GeForce GTX 580 Rev. 2 [GF110], GeForce GTX 580M [GF114M],
 GeForce GTX 590 [GF110], GeForce GTX 660M [GK107M],
 GeForce GTX 660M Mac Edition [GK107M], GeForce GTX 670M [GF114M],
 GeForce GTX 670MX [GK104M], GeForce GTX 675M [GF114M],
 GeForce GTX 675MX [GK104M], GeForce GTX 675MX Mac Edition [GK104M],
 GeForce GTX 680M [GK104M], GeForce GTX 680MX [GK104M],
 GeForce GTX 765M [GK106M], GeForce GTX 770M [GK106M],
 GeForce GTX 775M Mac Edition [GK104M], GeForce GTX 780M [GK104M],
 GeForce GTX 780M Mac Edition [GK104M], GeForce GTX 860M [GK104M],
 GeForce GTX 880M [GK104M], NVS 310 [GF119], NVS 315 [GF119],
 NVS 4200M [GF119M], NVS 5200M [GF108GLM], NVS 5400M [GF108M],
 Quadro 500M [GF108GLM], Quadro 600 [GF108GL], Quadro 1000M [GF108GLM],
 Quadro 2000 [GF106GL], Quadro 2000M [GF106GLM], Quadro 3000M [GF104GLM],
 Quadro 4000 [GF100GL], Quadro 4000M [GF104GLM], Quadro 5000 [GF100GL],
 Quadro 5000M [GF100GLM], Quadro 5010M [GF100GLM], Quadro 6000 [GF100GL],
 Quadro 7000 [GF100GL], Quadro K500M [GK107GLM], Quadro K510M [GK208GLM],
 Quadro K610M [GK208GLM], Quadro K1000M [GK107GLM], Quadro K1100M [GK107GLM],
 Quadro K2000M [GK107GLM], Quadro K2100M [GK106GLM], Quadro K3000M [GK104GLM],
 Quadro K3100M [GK104GLM], Quadro K4000M [GK104GLM], Quadro K4100M [GK104GLM],
 Quadro K5000M [GK104GLM], Quadro K5100M [GK104GLM],
 Quadro NVS 4200M [GF119M], Tesla C2050 [GF100GL], Tesla C2050 [GF110GL],
 Tesla C2070 [GF100GL], Tesla C2075 [GF110GL], Tesla M2070 [GF100GL],
 Tesla M2070-Q [GF100GL], Tesla M2075 [GF110GL], Tesla M2090 [GF110GL],
 Tesla T20 Processor [GF100GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-390xx-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 i386 architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-390xx-kernel-source
Description-md5: 870e1f209e04c277fb51042664c682d4
Description-en: NVIDIA binary kernel module source (390xx legacy version)
 This package provides the source for the NVIDIA Xorg binary kernel module
 needed by nvidia-legacy-390xx-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-legacy-390xx-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-legacy-390xx-kernel-dkms instead.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 410M [GF119M], GeForce 510 [GF119], GeForce 605 [GF119],
 GeForce 610M [GF108M], GeForce 610M [GF119M], GeForce 610M [GF117M],
 GeForce 705M [GF119M], GeForce 710A [GK107M], GeForce 710M [GF117M],
 GeForce 810M [GF117M], GeForce 810M [GK107M], GeForce 820M [GF117M],
 GeForce 820M [GK107M], GeForce 825M [GK208M], GeForce 910M [GK208BM],
 GeForce GT 415M [GF108M], GeForce GT 420 [GF108], GeForce GT 420M [GF108M],
 GeForce GT 425M [GF108M], GeForce GT 430 [GF108], GeForce GT 435M [GF106M],
 GeForce GT 435M [GF108M], GeForce GT 440 [GF106], GeForce GT 440 [GF108],
 GeForce GT 445M [GF106M], GeForce GT 520 [GF108], GeForce GT 520 [GF119],
 GeForce GT 520M [GF108M], GeForce GT 520M [GF119M],
 GeForce GT 520MX [GF119M], GeForce GT 525M [GF108M], GeForce GT 530 [GF108],
 GeForce GT 540M [GF108M], GeForce GT 545 OEM [GF116], GeForce GT 545 [GF116],
 GeForce GT 550M [GF106M], GeForce GT 550M [GF108M], GeForce GT 550M [GF116M],
 GeForce GT 555M [GF106M], GeForce GT 555M [GF108M], GeForce GT 555M [GF116M],
 GeForce GT 560M [GF116M], GeForce GT 610 [GF108], GeForce GT 610 [GF119],
 GeForce GT 620 OEM [GF119], GeForce GT 620 [GF108], GeForce GT 620M [GF108M],
 GeForce GT 620M [GF117M], GeForce GT 620M LE [GF108M],
 GeForce GT 625 OEM [GF119], GeForce GT 625M [GF117M], GeForce GT 630 [GF108],
 GeForce GT 630M [GF117M], GeForce GT 630M LE [GF108M],
 GeForce GT 635M [GF108M], GeForce GT 635M [GF116M],
 GeForce GT 635M LE [GF108M], GeForce GT 640 OEM [GF116],
 GeForce GT 640M LE [GF108M], GeForce GT 640M LE [GK107M],
 GeForce GT 640M Mac Edition [GK107M], GeForce GT 645 OEM [GF114],
 GeForce GT 645M [GK107M], GeForce GT 650M [GK107M],
 GeForce GT 650M Mac Edition [GK107M], GeForce GT 705 [GF119],
 GeForce GT 720M [GF117M], GeForce GT 720M [GK208M], GeForce GT 730 [GF108],
 GeForce GT 730M [GK107M], GeForce GT 730M [GK208M], GeForce GT 735M [GK208M],
 GeForce GT 740M [GK107M], GeForce GT 745M [GK107M], GeForce GT 750M [GK107M],
 GeForce GT 750M Mac Edition [GK107M], GeForce GT 755M [GK107M],
 GeForce GT 755M Mac Edition [GK107M], GeForce GTS 450 OEM [GF106],
 GeForce GTS 450 [GF106], GeForce GTS 450 Rev. 2 [GF116],
 GeForce GTS 450 Rev. 3 [GF116], GeForce GTX 460 OEM [GF104],
 GeForce GTX 460 [GF104], GeForce GTX 460 v2 [GF114],
 GeForce GTX 460 SE [GF104], GeForce GTX 460 SE v2 [GF114],
 GeForce GTX 460M [GF106M], GeForce GTX 465 [GF100], GeForce GTX 470 [GF100],
 GeForce GTX 470M [GF104M], GeForce GTX 480 [GF100],
 GeForce GTX 480M [GF100M], GeForce GTX 485M [GF104M],
 GeForce GTX 550 Ti [GF116], GeForce GTX 555 [GF114],
 GeForce GTX 560 OEM [GF110], GeForce GTX 560 [GF114],
 GeForce GTX 560 SE [GF114], GeForce GTX 560 Ti [GF114],
 GeForce GTX 560 Ti OEM [GF110], GeForce GTX 560 Ti 448 Cores [GF110],
 GeForce GTX 570 [GF110], GeForce GTX 570 Rev. 2 [GF110],
 GeForce GTX 570M [GF114M], GeForce GTX 580 [GF110],
 GeForce GTX 580 Rev. 2 [GF110], GeForce GTX 580M [GF114M],
 GeForce GTX 590 [GF110], GeForce GTX 660M [GK107M],
 GeForce GTX 660M Mac Edition [GK107M], GeForce GTX 670M [GF114M],
 GeForce GTX 670MX [GK104M], GeForce GTX 675M [GF114M],
 GeForce GTX 675MX [GK104M], GeForce GTX 675MX Mac Edition [GK104M],
 GeForce GTX 680M [GK104M], GeForce GTX 680MX [GK104M],
 GeForce GTX 765M [GK106M], GeForce GTX 770M [GK106M],
 GeForce GTX 775M Mac Edition [GK104M], GeForce GTX 780M [GK104M],
 GeForce GTX 780M Mac Edition [GK104M], GeForce GTX 860M [GK104M],
 GeForce GTX 880M [GK104M], NVS 310 [GF119], NVS 315 [GF119],
 NVS 4200M [GF119M], NVS 5200M [GF108GLM], NVS 5400M [GF108M],
 Quadro 500M [GF108GLM], Quadro 600 [GF108GL], Quadro 1000M [GF108GLM],
 Quadro 2000 [GF106GL], Quadro 2000M [GF106GLM], Quadro 3000M [GF104GLM],
 Quadro 4000 [GF100GL], Quadro 4000M [GF104GLM], Quadro 5000 [GF100GL],
 Quadro 5000M [GF100GLM], Quadro 5010M [GF100GLM], Quadro 6000 [GF100GL],
 Quadro 7000 [GF100GL], Quadro K500M [GK107GLM], Quadro K510M [GK208GLM],
 Quadro K610M [GK208GLM], Quadro K1000M [GK107GLM], Quadro K1100M [GK107GLM],
 Quadro K2000M [GK107GLM], Quadro K2100M [GK106GLM], Quadro K3000M [GK104GLM],
 Quadro K3100M [GK104GLM], Quadro K4000M [GK104GLM], Quadro K4100M [GK104GLM],
 Quadro K5000M [GK104GLM], Quadro K5100M [GK104GLM],
 Quadro NVS 4200M [GF119M], Tesla C2050 [GF100GL], Tesla C2050 [GF110GL],
 Tesla C2070 [GF100GL], Tesla C2075 [GF110GL], Tesla M2070 [GF100GL],
 Tesla M2070-Q [GF100GL], Tesla M2075 [GF110GL], Tesla M2090 [GF110GL],
 Tesla T20 Processor [GF100GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-390xx-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-390xx-kernel-source
Description-md5: de232003ba69a6c6e2d3abddc86e8465
Description-en: NVIDIA binary kernel module source (390xx legacy version)
 This package provides the source for the NVIDIA Xorg binary kernel module
 needed by nvidia-legacy-390xx-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-legacy-390xx-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-legacy-390xx-kernel-dkms instead.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 410M [GF119M], GeForce 510 [GF119], GeForce 605 [GF119],
 GeForce 610M [GF108M], GeForce 610M [GF119M], GeForce 610M [GF117M],
 GeForce 705M [GF119M], GeForce 710A [GK107M], GeForce 710M [GF117M],
 GeForce 810M [GF117M], GeForce 810M [GK107M], GeForce 820M [GF117M],
 GeForce 820M [GK107M], GeForce 825M [GK208M], GeForce 910M [GK208BM],
 GeForce GT 415M [GF108M], GeForce GT 420 [GF108], GeForce GT 420M [GF108M],
 GeForce GT 425M [GF108M], GeForce GT 430 [GF108], GeForce GT 435M [GF106M],
 GeForce GT 435M [GF108M], GeForce GT 440 [GF106], GeForce GT 440 [GF108],
 GeForce GT 445M [GF106M], GeForce GT 520 [GF108], GeForce GT 520 [GF119],
 GeForce GT 520M [GF108M], GeForce GT 520M [GF119M],
 GeForce GT 520MX [GF119M], GeForce GT 525M [GF108M], GeForce GT 530 [GF108],
 GeForce GT 540M [GF108M], GeForce GT 545 OEM [GF116], GeForce GT 545 [GF116],
 GeForce GT 550M [GF106M], GeForce GT 550M [GF108M], GeForce GT 550M [GF116M],
 GeForce GT 555M [GF106M], GeForce GT 555M [GF108M], GeForce GT 555M [GF116M],
 GeForce GT 560M [GF116M], GeForce GT 610 [GF108], GeForce GT 610 [GF119],
 GeForce GT 620 OEM [GF119], GeForce GT 620 [GF108], GeForce GT 620M [GF108M],
 GeForce GT 620M [GF117M], GeForce GT 620M LE [GF108M],
 GeForce GT 625 OEM [GF119], GeForce GT 625M [GF117M], GeForce GT 630 [GF108],
 GeForce GT 630M [GF117M], GeForce GT 630M LE [GF108M],
 GeForce GT 635M [GF108M], GeForce GT 635M [GF116M],
 GeForce GT 635M LE [GF108M], GeForce GT 640 OEM [GF116],
 GeForce GT 640M LE [GF108M], GeForce GT 640M LE [GK107M],
 GeForce GT 640M Mac Edition [GK107M], GeForce GT 645 OEM [GF114],
 GeForce GT 645M [GK107M], GeForce GT 650M [GK107M],
 GeForce GT 650M Mac Edition [GK107M], GeForce GT 705 [GF119],
 GeForce GT 720M [GF117M], GeForce GT 720M [GK208M], GeForce GT 730 [GF108],
 GeForce GT 730M [GK107M], GeForce GT 730M [GK208M], GeForce GT 735M [GK208M],
 GeForce GT 740M [GK107M], GeForce GT 745M [GK107M], GeForce GT 750M [GK107M],
 GeForce GT 750M Mac Edition [GK107M], GeForce GT 755M [GK107M],
 GeForce GT 755M Mac Edition [GK107M], GeForce GTS 450 OEM [GF106],
 GeForce GTS 450 [GF106], GeForce GTS 450 Rev. 2 [GF116],
 GeForce GTS 450 Rev. 3 [GF116], GeForce GTX 460 OEM [GF104],
 GeForce GTX 460 [GF104], GeForce GTX 460 v2 [GF114],
 GeForce GTX 460 SE [GF104], GeForce GTX 460 SE v2 [GF114],
 GeForce GTX 460M [GF106M], GeForce GTX 465 [GF100], GeForce GTX 470 [GF100],
 GeForce GTX 470M [GF104M], GeForce GTX 480 [GF100],
 GeForce GTX 480M [GF100M], GeForce GTX 485M [GF104M],
 GeForce GTX 550 Ti [GF116], GeForce GTX 555 [GF114],
 GeForce GTX 560 OEM [GF110], GeForce GTX 560 [GF114],
 GeForce GTX 560 SE [GF114], GeForce GTX 560 Ti [GF114],
 GeForce GTX 560 Ti OEM [GF110], GeForce GTX 560 Ti 448 Cores [GF110],
 GeForce GTX 570 [GF110], GeForce GTX 570 Rev. 2 [GF110],
 GeForce GTX 570M [GF114M], GeForce GTX 580 [GF110],
 GeForce GTX 580 Rev. 2 [GF110], GeForce GTX 580M [GF114M],
 GeForce GTX 590 [GF110], GeForce GTX 660M [GK107M],
 GeForce GTX 660M Mac Edition [GK107M], GeForce GTX 670M [GF114M],
 GeForce GTX 670MX [GK104M], GeForce GTX 675M [GF114M],
 GeForce GTX 675MX [GK104M], GeForce GTX 675MX Mac Edition [GK104M],
 GeForce GTX 680M [GK104M], GeForce GTX 680MX [GK104M],
 GeForce GTX 765M [GK106M], GeForce GTX 770M [GK106M],
 GeForce GTX 775M Mac Edition [GK104M], GeForce GTX 780M [GK104M],
 GeForce GTX 780M Mac Edition [GK104M], GeForce GTX 860M [GK104M],
 GeForce GTX 880M [GK104M], NVS 310 [GF119], NVS 315 [GF119],
 NVS 4200M [GF119M], NVS 5200M [GF108GLM], NVS 5400M [GF108M],
 Quadro 500M [GF108GLM], Quadro 600 [GF108GL], Quadro 1000M [GF108GLM],
 Quadro 2000 [GF106GL], Quadro 2000M [GF106GLM], Quadro 3000M [GF104GLM],
 Quadro 4000 [GF100GL], Quadro 4000M [GF104GLM], Quadro 5000 [GF100GL],
 Quadro 5000M [GF100GLM], Quadro 5010M [GF100GLM], Quadro 6000 [GF100GL],
 Quadro 7000 [GF100GL], Quadro K500M [GK107GLM], Quadro K510M [GK208GLM],
 Quadro K610M [GK208GLM], Quadro K1000M [GK107GLM], Quadro K1100M [GK107GLM],
 Quadro K2000M [GK107GLM], Quadro K2100M [GK106GLM], Quadro K3000M [GK104GLM],
 Quadro K3100M [GK104GLM], Quadro K4000M [GK104GLM], Quadro K4100M [GK104GLM],
 Quadro K5000M [GK104GLM], Quadro K5100M [GK104GLM],
 Quadro NVS 4200M [GF119M], Tesla C2050 [GF100GL], Tesla C2050 [GF110GL],
 Tesla C2070 [GF100GL], Tesla C2075 [GF110GL], Tesla M2070 [GF100GL],
 Tesla M2070-Q [GF100GL], Tesla M2075 [GF110GL], Tesla M2090 [GF110GL],
 Tesla T20 Processor [GF100GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-390xx-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 armhf architecture.
 Building the kernel modules has been tested up to Linux 5.10.

Package: nvidia-legacy-390xx-kernel-support
Description-md5: 16dec0bb04dd8db67c4ceb2f5fa0323d
Description-en: NVIDIA binary kernel module support files (390xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package provides supporting configuration for the kernel module.

Package: nvidia-legacy-390xx-nonglvnd-vulkan-icd
Description-md5: 4c24014bf0d92b2a47fae6c6a02a7854
Description-en: NVIDIA Vulkan ICD (non-GLVND variant) (390xx legacy version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 Vulkan (non-GLVND variant) which supports NVIDIA GPUs.

Package: nvidia-legacy-390xx-opencl-icd
Description-md5: 9abda5c94b1112eef98dad8e7adbfa70
Description-en: NVIDIA OpenCL installable client driver (ICD) (390xx legacy version)
 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package provides the NVIDIA installable client driver (ICD) for OpenCL
 which supports NVIDIA GPUs. This ICD supports OpenCL 1.x only.

Package: nvidia-legacy-390xx-smi
Description-md5: ae6beec94ae6875c481fb0e880c871d5
Description-en: NVIDIA System Management Interface (390xx legacy version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 The application "nvidia-smi" is the NVIDIA System Management Interface (NVSMI)
 and provides a command line interface to this functionality.
 .
 See the output from the --help command line option for supported models and
 further information.

Package: nvidia-legacy-390xx-vdpau-driver
Description-md5: 2a8d75d409f3e882b619d46351fb8587
Description-en: Video Decode and Presentation API for Unix - NVIDIA driver (390xx legacy)
 These libraries provide the Video Decode and Presentation API for Unix.
 They provide accelerated video playback (incl. H.264) for the supported
 graphics cards.
 .
 This package contains the NVIDIA VDPAU driver.
 .
 See /usr/share/doc/nvidia-legacy-390xx-vdpau-driver/README.txt.gz
 for more information.
 .
 Please see the nvidia-legacy-390xx-kernel-dkms or
 nvidia-legacy-390xx-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-legacy-390xx-kernel-390.144.

Package: nvidia-legacy-390xx-vulkan-icd
Description-md5: 9cec1a3a6024722fe8adc81ab9b7906d
Description-en: NVIDIA Vulkan installable client driver (ICD) (390xx legacy version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 Vulkan (GLVND variant) which supports NVIDIA GPUs.

Package: xserver-xorg-video-nvidia-legacy-390xx
Description-md5: a7e56e58b95d37c036f3969529dcd051
Description-en: NVIDIA binary Xorg driver (390xx legacy version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 Please see the nvidia-legacy-390xx-kernel-dkms or
 nvidia-legacy-390xx-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-legacy-390xx-kernel-390.144.
 .
 This legacy version is the last release that supports the following GPUs:
 GeForce 410M [GF119M], GeForce 510 [GF119], GeForce 605 [GF119],
 GeForce 610M [GF108M], GeForce 610M [GF119M], GeForce 610M [GF117M],
 GeForce 705M [GF119M], GeForce 710A [GK107M], GeForce 710M [GF117M],
 GeForce 810M [GF117M], GeForce 810M [GK107M], GeForce 820M [GF117M],
 GeForce 820M [GK107M], GeForce 825M [GK208M], GeForce 910M [GK208BM],
 GeForce GT 415M [GF108M], GeForce GT 420 [GF108], GeForce GT 420M [GF108M],
 GeForce GT 425M [GF108M], GeForce GT 430 [GF108], GeForce GT 435M [GF106M],
 GeForce GT 435M [GF108M], GeForce GT 440 [GF106], GeForce GT 440 [GF108],
 GeForce GT 445M [GF106M], GeForce GT 520 [GF108], GeForce GT 520 [GF119],
 GeForce GT 520M [GF108M], GeForce GT 520M [GF119M],
 GeForce GT 520MX [GF119M], GeForce GT 525M [GF108M], GeForce GT 530 [GF108],
 GeForce GT 540M [GF108M], GeForce GT 545 OEM [GF116], GeForce GT 545 [GF116],
 GeForce GT 550M [GF106M], GeForce GT 550M [GF108M], GeForce GT 550M [GF116M],
 GeForce GT 555M [GF106M], GeForce GT 555M [GF108M], GeForce GT 555M [GF116M],
 GeForce GT 560M [GF116M], GeForce GT 610 [GF108], GeForce GT 610 [GF119],
 GeForce GT 620 OEM [GF119], GeForce GT 620 [GF108], GeForce GT 620M [GF108M],
 GeForce GT 620M [GF117M], GeForce GT 620M LE [GF108M],
 GeForce GT 625 OEM [GF119], GeForce GT 625M [GF117M], GeForce GT 630 [GF108],
 GeForce GT 630M [GF117M], GeForce GT 630M LE [GF108M],
 GeForce GT 635M [GF108M], GeForce GT 635M [GF116M],
 GeForce GT 635M LE [GF108M], GeForce GT 640 OEM [GF116],
 GeForce GT 640M LE [GF108M], GeForce GT 640M LE [GK107M],
 GeForce GT 640M Mac Edition [GK107M], GeForce GT 645 OEM [GF114],
 GeForce GT 645M [GK107M], GeForce GT 650M [GK107M],
 GeForce GT 650M Mac Edition [GK107M], GeForce GT 705 [GF119],
 GeForce GT 720M [GF117M], GeForce GT 720M [GK208M], GeForce GT 730 [GF108],
 GeForce GT 730M [GK107M], GeForce GT 730M [GK208M], GeForce GT 735M [GK208M],
 GeForce GT 740M [GK107M], GeForce GT 745M [GK107M], GeForce GT 750M [GK107M],
 GeForce GT 750M Mac Edition [GK107M], GeForce GT 755M [GK107M],
 GeForce GT 755M Mac Edition [GK107M], GeForce GTS 450 OEM [GF106],
 GeForce GTS 450 [GF106], GeForce GTS 450 Rev. 2 [GF116],
 GeForce GTS 450 Rev. 3 [GF116], GeForce GTX 460 OEM [GF104],
 GeForce GTX 460 [GF104], GeForce GTX 460 v2 [GF114],
 GeForce GTX 460 SE [GF104], GeForce GTX 460 SE v2 [GF114],
 GeForce GTX 460M [GF106M], GeForce GTX 465 [GF100], GeForce GTX 470 [GF100],
 GeForce GTX 470M [GF104M], GeForce GTX 480 [GF100],
 GeForce GTX 480M [GF100M], GeForce GTX 485M [GF104M],
 GeForce GTX 550 Ti [GF116], GeForce GTX 555 [GF114],
 GeForce GTX 560 OEM [GF110], GeForce GTX 560 [GF114],
 GeForce GTX 560 SE [GF114], GeForce GTX 560 Ti [GF114],
 GeForce GTX 560 Ti OEM [GF110], GeForce GTX 560 Ti 448 Cores [GF110],
 GeForce GTX 570 [GF110], GeForce GTX 570 Rev. 2 [GF110],
 GeForce GTX 570M [GF114M], GeForce GTX 580 [GF110],
 GeForce GTX 580 Rev. 2 [GF110], GeForce GTX 580M [GF114M],
 GeForce GTX 590 [GF110], GeForce GTX 660M [GK107M],
 GeForce GTX 660M Mac Edition [GK107M], GeForce GTX 670M [GF114M],
 GeForce GTX 670MX [GK104M], GeForce GTX 675M [GF114M],
 GeForce GTX 675MX [GK104M], GeForce GTX 675MX Mac Edition [GK104M],
 GeForce GTX 680M [GK104M], GeForce GTX 680MX [GK104M],
 GeForce GTX 765M [GK106M], GeForce GTX 770M [GK106M],
 GeForce GTX 775M Mac Edition [GK104M], GeForce GTX 780M [GK104M],
 GeForce GTX 780M Mac Edition [GK104M], GeForce GTX 860M [GK104M],
 GeForce GTX 880M [GK104M], NVS 310 [GF119], NVS 315 [GF119],
 NVS 4200M [GF119M], NVS 5200M [GF108GLM], NVS 5400M [GF108M],
 Quadro 500M [GF108GLM], Quadro 600 [GF108GL], Quadro 1000M [GF108GLM],
 Quadro 2000 [GF106GL], Quadro 2000M [GF106GLM], Quadro 3000M [GF104GLM],
 Quadro 4000 [GF100GL], Quadro 4000M [GF104GLM], Quadro 5000 [GF100GL],
 Quadro 5000M [GF100GLM], Quadro 5010M [GF100GLM], Quadro 6000 [GF100GL],
 Quadro 7000 [GF100GL], Quadro K500M [GK107GLM], Quadro K510M [GK208GLM],
 Quadro K610M [GK208GLM], Quadro K1000M [GK107GLM], Quadro K1100M [GK107GLM],
 Quadro K2000M [GK107GLM], Quadro K2100M [GK106GLM], Quadro K3000M [GK104GLM],
 Quadro K3100M [GK104GLM], Quadro K4000M [GK104GLM], Quadro K4100M [GK104GLM],
 Quadro K5000M [GK104GLM], Quadro K5100M [GK104GLM],
 Quadro NVS 4200M [GF119M], Tesla C2050 [GF100GL], Tesla C2050 [GF110GL],
 Tesla C2070 [GF100GL], Tesla C2075 [GF110GL], Tesla M2070 [GF100GL],
 Tesla M2070-Q [GF100GL], Tesla M2075 [GF110GL], Tesla M2090 [GF110GL],
 Tesla T20 Processor [GF100GL].
 .
 There are several "more modern" GPUs supported by this package, too, but the
 updated drivers in the newer legacy packages or the current nvidia-driver
 package usually provide more features and better support.
 Look at the other legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-legacy-390xx-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

Package: libegl-nvidia-tesla-418-0
Description-md5: c64d804c2d7b1421449233925c9ac52a
Description-en: NVIDIA binary EGL library (Tesla 418 version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 See the description of the nvidia-tesla-418-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-418-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary EGL implementation provided
 by NVIDIA that is accessed via GLVND.

Package: libegl1-nvidia-tesla-418
Description-md5: 2e429465783f59b17a042bbfaa67d8e5
Description-en: NVIDIA binary EGL library (non-GLVND variant) (Tesla 418 version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 This package contains the driver specific binary EGL implementation by NVIDIA
 as a non-GLVND alternative.

Package: libgl1-nvidia-tesla-418-glvnd-glx
Description-md5: 5ecc42b7b13ebdddf5a397f05845b2ae
Description-en: NVIDIA binary OpenGL/GLX library (GLVND variant) (Tesla 418 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 See the description of the nvidia-tesla-418-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-418-glvnd-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This metapackage depends on the NVIDIA binary OpenGL/GLX implementation using
 GLVND and the corresponding GLVND loader library.

Package: libgl1-nvidia-tesla-418-glx
Description-md5: f48f5bd1a781d115103c2f67a6ba1487
Description-en: NVIDIA binary OpenGL/GLX library (non-GLVND variant) (Tesla 418 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 See the description of the nvidia-tesla-418-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-418-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL/GLX implementation
 provided by NVIDIA as a non-GLVND alternative.

Package: libgles-nvidia-tesla-418-1
Description-md5: 4ba450e31cf211161368415937338fd7
Description-en: NVIDIA binary OpenGL|ES 1.x library (Tesla 418 version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 1.x provides an API for fixed-function hardware.
 .
 See the description of the nvidia-tesla-418-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-418-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 1.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libgles-nvidia-tesla-418-2
Description-md5: 260b8c55765d4dc47e4660bb005ad870
Description-en: NVIDIA binary OpenGL|ES 2.x library (Tesla 418 version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 2.x provides an API for programmable hardware including vertex
 and fragment shaders.
 .
 See the description of the nvidia-tesla-418-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-418-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 2.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libglx-nvidia-tesla-418-0
Description-md5: 7085c5938c8d050726b532c7e543c160
Description-en: NVIDIA binary GLX library (Tesla 418 version)
 GLX ("OpenGL Extension to the X Window System") provides an interface between
 OpenGL and the X Window System as well as extensions to OpenGL itself.
 .
 See the description of the nvidia-tesla-418-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-418-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary GLX implementation by NVIDIA
 that is accessed via GLVND.

Package: libnvidia-tesla-418-cbl
Description-md5: d24c170c4678d23e1418fa5f96947d9a
Description-en: NVIDIA binary Vulkan ray tracing (cbl) library (Tesla 418 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private cbl library used by the NVIDIA
 implementation of Vulkan.

Package: libnvidia-tesla-418-cfg1
Description-md5: 02baeab116a730176975d3363b1b20b5
Description-en: NVIDIA binary OpenGL/GLX configuration library (Tesla 418 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the libnvidia-cfg.so.1 runtime library.

Package: libnvidia-tesla-418-compiler
Description-md5: c0fc2ba80f3f47781d5497b6b38eea84
Description-en: NVIDIA runtime compiler library (Tesla 418 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime compiler library.

Package: libnvidia-tesla-418-cuda1
Description-md5: 45c7ac41d2b216b5f7f137ecb741f773
Description-en: NVIDIA CUDA Driver Library (Tesla 418 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the CUDA Driver API library for low-level CUDA
 programming.
 .
 Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
 series, as well as the Tesla computing processors.
 .
 Please see the nvidia-tesla-418-kernel-dkms or
 nvidia-tesla-418-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-418-kernel-418.226.00.

Package: libnvidia-tesla-418-eglcore
Description-md5: 8a96b4cbf27937f2d42003c44d551dde
Description-en: NVIDIA binary EGL core libraries (Tesla 418 version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of EGL and OpenGL|ES.

Package: libnvidia-tesla-418-encode1
Description-md5: 067e6fe9efaf063cde24b510808e0ead
Description-en: NVENC Video Encoding runtime library (Tesla 418 version)
 The NVENC Video Encoding library provides an interface to video encoder
 hardware on supported NVIDIA GPUs.
 .
 This package contains the nvidia-encode runtime library.

Package: libnvidia-tesla-418-fatbinaryloader
Description-md5: fa9cdcdf51b4d7dc21fb7583f9b18a83
Description-en: NVIDIA FAT binary loader (Tesla 418 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the FAT multiarchitecture binary loader.

Package: libnvidia-tesla-418-fbc1
Description-md5: 0ebe6cbe27ab63f24fb3f99a5db43f52
Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library (Tesla 418 version)
 The NVIDIA OpenGL-based Framebuffer Capture (NvFBCOpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvFBCOpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvFBCOpenGL runtime library.

Package: libnvidia-tesla-418-glcore
Description-md5: 5a9e5d6458dceb7c876d8093d8b6e575
Description-en: NVIDIA binary OpenGL/GLX core libraries (Tesla 418 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of OpenGL and GLX.

Package: libnvidia-tesla-418-glvkspirv
Description-md5: 8e37cbea63357d00e48f60915d19d57e
Description-en: NVIDIA binary Vulkan Spir-V compiler library (Tesla 418 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library provides a NVIDIA Vulkan Spir-V compiler which reduces shader
 compilation time and shader system memory consumption.
 .
 This package contains the private Spir-V compiler libraries used by the
 NVIDIA implementation of Vulkan.

Package: libnvidia-tesla-418-ifr1
Description-md5: c5d3a9d701529b405e0e623f99d99f5a
Description-en: NVIDIA OpenGL-based Inband Frame Readback runtime library (Tesla 418)
 The NVIDIA OpenGL-based Inband Frame Readback (NvIFROpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvIFROpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvIFROpenGL runtime library.

Package: libnvidia-tesla-418-ml1
Description-md5: 1f3d80156068d72370731d027595e94a
Description-en: NVIDIA Management Library (NVML) runtime library (Tesla 418 version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 It provides a direct access to the queries and commands exposed via nvidia-smi.
 .
 This package contains the nvidia-ml runtime library.

Package: libnvidia-tesla-418-nvcuvid1
Description-md5: 0f9809d1b2682c46f7870b93a84e45a0
Description-en: NVIDIA CUDA Video Decoder runtime library (Tesla 418 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to
 hardware video decoding capabilities on NVIDIA GPUs with CUDA.
 .
 This package contains the nvcuvid runtime library.

Package: libnvidia-tesla-418-nvoptix1
Description-md5: 4ea922d476c80de7b239684d20353598
Description-en: NVIDIA implementation of the OptiX ray tracing engine (Tesla 418 version)
 The OptiX API is an application framework for achieving optimal ray tracing
 performance on the GPU.
 .
 This package contains runtime library of the OptiX ray tracing engine
 implementation for NVIDIA CUDA.
 It is used by liboptix.so.* coming with applications using the OptiX API.

Package: libnvidia-tesla-418-opticalflow1
Description-md5: 151ed46fb0cb32c76c901e07181e89ed
Description-en: NVIDIA Optical Flow runtime library (Tesla 418 version)
 The NVIDIA Optical Flow SDK exposes the latest hardware capability of Turing
 GPUs dedicated to computing the relative motion of pixels between images.
 .
 This package contains the Optical Flow runtime library.

Package: libnvidia-tesla-418-ptxjitcompiler1
Description-md5: c1f40471dce7a71ffbdf7c946471aef2
Description-en: NVIDIA PTX JIT Compiler library (Tesla 418 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime PTX JIT Compiler library.

Package: libnvidia-tesla-418-rtcore
Description-md5: 98812a4f9b6f01e4ce0928b8bdeac307
Description-en: NVIDIA binary Vulkan ray tracing (rtcore) library (Tesla 418 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private rtcore library used by the NVIDIA
 implementation of Vulkan.

Package: nvidia-tesla-418-alternative
Description-md5: 11a4c593573f6a9f04fa143749b2df1f
Description-en: allows the selection of NVIDIA as GLX provider (Tesla 418 version)
 In setups with several NVIDIA driver versions installed (e.g. current and
 legacy) this metapackage registers an alternative to allow easy switching
 between the different versions.
 .
 Use 'update-glx --config nvidia' to select a version.
 .
 This package does not depend on the corresponding NVIDIA libraries.
 In order to install the NVIDIA driver and libraries, install the
 nvidia-tesla-418-driver package instead.

Package: nvidia-tesla-418-driver
Description-md5: 638d4266bedfa0e84c5688d65b5d953c
Description-en: NVIDIA metapackage (Tesla 418 version)
 This metapackage depends on the NVIDIA binary driver and libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES/Vulkan applications via a direct-rendering X Server.
 .
 Please see the nvidia-tesla-418-kernel-dkms or
 nvidia-tesla-418-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-418-kernel-418.226.00.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, or newer architectures.  Look at the legacy packages
 for older cards.
 .
 See /usr/share/doc/nvidia-tesla-418-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 Building the kernel module has been tested up to Linux 5.18.

Package: nvidia-tesla-418-driver-bin
Description-md5: 619043ffe692851dc462f498944ee616
Description-en: NVIDIA driver support binaries (Tesla 418 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains supporting binaries for the driver.

Package: nvidia-tesla-418-driver-libs
Description-md5: 22ea03c717b7e74ae969fc67934c8999
Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries) (Tesla 418 version)
 This metapackage depends on the NVIDIA binary libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.

Package: nvidia-tesla-418-driver-libs-nonglvnd
Description-md5: 9eb0237b6338d5902b7c4ea7b6c2807c
Description-en: NVIDIA metapackage (non-GLVND OpenGL/GLX/EGL/GLES libraries) (Tesla 418)
 This metapackage depends on the (non-GLVND) NVIDIA binary libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.

Package: nvidia-tesla-418-egl-icd
Description-md5: 48bb1c6fd6391aad335bab10bc4ab1eb
Description-en: NVIDIA EGL installable client driver (ICD)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 EGL via GLVND which supports NVIDIA GPUs.

Package: nvidia-tesla-418-kernel-dkms
Description-md5: 63092e85e5fe852805a0894f094ef63d
Description-en: NVIDIA binary kernel module DKMS source (Tesla 418 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-418-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, or newer architectures.  Look at the legacy packages
 for older cards.
 .
 See /usr/share/doc/nvidia-tesla-418-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 5.18.

Package: nvidia-tesla-418-kernel-dkms
Description-md5: 848df932b0d18af9ca71cad0254cf8df
Description-en: NVIDIA binary kernel module DKMS source (Tesla 418 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-418-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, or newer architectures.  Look at the legacy packages
 for older cards.
 .
 See /usr/share/doc/nvidia-tesla-418-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.18.

Package: nvidia-tesla-418-kernel-source
Description-md5: 8f13b81f845d7a7b4d08820ca89dfafc
Description-en: NVIDIA binary kernel module source (Tesla 418 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-418-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-418-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-418-kernel-dkms instead.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, or newer architectures.  Look at the legacy packages
 for older cards.
 .
 See /usr/share/doc/nvidia-tesla-418-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 5.18.

Package: nvidia-tesla-418-kernel-source
Description-md5: d2adbd3d488d3b359b4f7ff0ab6ef823
Description-en: NVIDIA binary kernel module source (Tesla 418 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-418-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-418-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-418-kernel-dkms instead.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, or newer architectures.  Look at the legacy packages
 for older cards.
 .
 See /usr/share/doc/nvidia-tesla-418-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.18.

Package: nvidia-tesla-418-kernel-support
Description-md5: c4d364657676279a17b3194c9df98d86
Description-en: NVIDIA binary kernel module support files (Tesla 418 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package provides supporting configuration for the kernel module.

Package: nvidia-tesla-418-nonglvnd-vulkan-icd
Description-md5: dc9a78f6400c105c889749d5ff87ea2e
Description-en: NVIDIA Vulkan ICD (non-GLVND variant) (Tesla 418 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 Vulkan (non-GLVND variant) which supports NVIDIA GPUs.

Package: nvidia-tesla-418-opencl-icd
Description-md5: 9f84b0b33b26bc58f2e8376ee76bbb75
Description-en: NVIDIA OpenCL installable client driver (ICD) (Tesla 418 version)
 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package provides the NVIDIA installable client driver (ICD) for OpenCL
 which supports NVIDIA GPUs. This ICD supports OpenCL 1.x only.

Package: nvidia-tesla-418-smi
Description-md5: c2242680c17f770edfaa4cb44b377a69
Description-en: NVIDIA System Management Interface (Tesla 418 version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 The application "nvidia-smi" is the NVIDIA System Management Interface (NVSMI)
 and provides a command line interface to this functionality.
 .
 See the output from the --help command line option for supported models and
 further information.

Package: nvidia-tesla-418-vdpau-driver
Description-md5: b5fe103e7d843379e6f5d804cfde2b3d
Description-en: Video Decode and Presentation API for Unix - NVIDIA driver (Tesla 418)
 These libraries provide the Video Decode and Presentation API for Unix.
 They provide accelerated video playback (incl. H.264) for the supported
 graphics cards.
 .
 This package contains the NVIDIA VDPAU driver.
 .
 See /usr/share/doc/nvidia-tesla-418-vdpau-driver/README.txt.gz
 for more information.
 .
 Please see the nvidia-tesla-418-kernel-dkms or
 nvidia-tesla-418-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-418-kernel-418.226.00.

Package: nvidia-tesla-418-vulkan-icd
Description-md5: 8b38d9599a590e019bb394f60fef1d23
Description-en: NVIDIA Vulkan installable client driver (ICD) (Tesla 418 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 Vulkan (GLVND variant) which supports NVIDIA GPUs.

Package: xserver-xorg-video-nvidia-tesla-418
Description-md5: de1833424ecadc1b0017d198cf3c975c
Description-en: NVIDIA binary Xorg driver (Tesla 418 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 Please see the nvidia-tesla-418-kernel-dkms or
 nvidia-tesla-418-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-418-kernel-418.226.00.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, or newer architectures.  Look at the legacy packages
 for older cards.
 .
 See /usr/share/doc/nvidia-tesla-418-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

Package: libegl-nvidia-tesla-450-0
Description-md5: f7195949cc6543a86e5790010617ca6c
Description-en: NVIDIA binary EGL library (Tesla 450 version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 See the description of the nvidia-tesla-450-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-450-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary EGL implementation provided
 by NVIDIA that is accessed via GLVND.

Package: libgl1-nvidia-tesla-450-glvnd-glx
Description-md5: d3913677eefa32a6e1f4cb579a00e613
Description-en: NVIDIA binary OpenGL/GLX library (GLVND variant) (Tesla 450 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 See the description of the nvidia-tesla-450-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-450-glvnd-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This metapackage depends on the NVIDIA binary OpenGL/GLX implementation using
 GLVND and the corresponding GLVND loader library.

Package: libgles-nvidia-tesla-450-1
Description-md5: 6c34c1ab061e6eb3e6300d22e8a5bf7e
Description-en: NVIDIA binary OpenGL|ES 1.x library (Tesla 450 version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 1.x provides an API for fixed-function hardware.
 .
 See the description of the nvidia-tesla-450-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-450-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 1.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libgles-nvidia-tesla-450-2
Description-md5: fec7d296c317d2f3eeb0f71d94ef2643
Description-en: NVIDIA binary OpenGL|ES 2.x library (Tesla 450 version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 2.x provides an API for programmable hardware including vertex
 and fragment shaders.
 .
 See the description of the nvidia-tesla-450-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-450-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 2.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libglx-nvidia-tesla-450-0
Description-md5: 260d20a4d54db01e22460d16380f9e4b
Description-en: NVIDIA binary GLX library (Tesla 450 version)
 GLX ("OpenGL Extension to the X Window System") provides an interface between
 OpenGL and the X Window System as well as extensions to OpenGL itself.
 .
 See the description of the nvidia-tesla-450-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-450-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary GLX implementation by NVIDIA
 that is accessed via GLVND.

Package: libnvidia-tesla-450-allocator1
Description-md5: d167475809b0c6bbf5557ebaeefaaed7
Description-en: NVIDIA allocator runtime library (Tesla 450 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private nvidia-allocator runtime library.

Package: libnvidia-tesla-450-cbl
Description-md5: 35d76bc98b3a90616f897129e748be75
Description-en: NVIDIA binary Vulkan ray tracing (cbl) library (Tesla 450 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private cbl library used by the NVIDIA
 implementation of Vulkan.

Package: libnvidia-tesla-450-cfg1
Description-md5: 9f9ccdf64f9d8018ae5221564dd1634b
Description-en: NVIDIA binary OpenGL/GLX configuration library (Tesla 450 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the libnvidia-cfg.so.1 runtime library.

Package: libnvidia-tesla-450-compiler
Description-md5: 3d0c6f8e12fcb7945bb35363ea738644
Description-en: NVIDIA runtime compiler library (Tesla 450 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime compiler library.

Package: libnvidia-tesla-450-cuda1
Description-md5: 8c11133da07cda3294e39f13a4414d1b
Description-en: NVIDIA CUDA Driver Library (Tesla 450 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the CUDA Driver API library for low-level CUDA
 programming.
 .
 Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
 series, as well as the Tesla computing processors.
 .
 Please see the nvidia-tesla-450-kernel-dkms or
 nvidia-tesla-450-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-450-kernel-450.203.03.

Package: libnvidia-tesla-450-eglcore
Description-md5: e827888ea596c32123c1fa8c0dfc76ed
Description-en: NVIDIA binary EGL core libraries (Tesla 450 version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of EGL and OpenGL|ES.

Package: libnvidia-tesla-450-encode1
Description-md5: dce005fa6c5fd5016e5c961079c55572
Description-en: NVENC Video Encoding runtime library (Tesla 450 version)
 The NVENC Video Encoding library provides an interface to video encoder
 hardware on supported NVIDIA GPUs.
 .
 This package contains the nvidia-encode runtime library.

Package: libnvidia-tesla-450-fbc1
Description-md5: aa878234213e606f45e7ad5d1ca84e93
Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library (Tesla 450 version)
 The NVIDIA OpenGL-based Framebuffer Capture (NvFBCOpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvFBCOpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvFBCOpenGL runtime library.

Package: libnvidia-tesla-450-glcore
Description-md5: 35b006da9ed827b069a9337f91c17213
Description-en: NVIDIA binary OpenGL/GLX core libraries (Tesla 450 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of OpenGL and GLX.

Package: libnvidia-tesla-450-glvkspirv
Description-md5: 8549520bb985cf7b9a131fb1fb843eae
Description-en: NVIDIA binary Vulkan Spir-V compiler library (Tesla 450 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library provides a NVIDIA Vulkan Spir-V compiler which reduces shader
 compilation time and shader system memory consumption.
 .
 This package contains the private Spir-V compiler libraries used by the
 NVIDIA implementation of Vulkan.

Package: libnvidia-tesla-450-ifr1
Description-md5: ba5dacfb40351b9e0ad68032dfc5a17a
Description-en: NVIDIA OpenGL-based Inband Frame Readback runtime library (Tesla 450)
 The NVIDIA OpenGL-based Inband Frame Readback (NvIFROpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvIFROpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvIFROpenGL runtime library.

Package: libnvidia-tesla-450-ml1
Description-md5: 56b43d2d0073f96f705239b858504ae1
Description-en: NVIDIA Management Library (NVML) runtime library (Tesla 450 version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 It provides a direct access to the queries and commands exposed via nvidia-smi.
 .
 This package contains the nvidia-ml runtime library.

Package: libnvidia-tesla-450-ngx1
Description-md5: c050a398389224404eb0501fba5caef5
Description-en: NVIDIA NGX runtime library (Tesla 450)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the NVIDIA NGX runtime library.

Package: libnvidia-tesla-450-nvcuvid1
Description-md5: 1e79b85429ee426a120a36e3d1ceca6f
Description-en: NVIDIA CUDA Video Decoder runtime library (Tesla 450 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to
 hardware video decoding capabilities on NVIDIA GPUs with CUDA.
 .
 This package contains the nvcuvid runtime library.

Package: libnvidia-tesla-450-nvoptix1
Description-md5: 5402ebb27b84e78d8bf2a5f224122c6d
Description-en: NVIDIA implementation of the OptiX ray tracing engine (Tesla 450 version)
 The OptiX API is an application framework for achieving optimal ray tracing
 performance on the GPU.
 .
 This package contains runtime library of the OptiX ray tracing engine
 implementation for NVIDIA CUDA.
 It is used by liboptix.so.* coming with applications using the OptiX API.

Package: libnvidia-tesla-450-opticalflow1
Description-md5: a4e4685fd3a4db0ff4e5113ac4e43016
Description-en: NVIDIA Optical Flow runtime library (Tesla 450 version)
 The NVIDIA Optical Flow SDK exposes the latest hardware capability of Turing
 GPUs dedicated to computing the relative motion of pixels between images.
 .
 This package contains the Optical Flow runtime library.

Package: libnvidia-tesla-450-ptxjitcompiler1
Description-md5: 993e3a9406d327590caf00118f3e2396
Description-en: NVIDIA PTX JIT Compiler library (Tesla 450 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime PTX JIT Compiler library.

Package: libnvidia-tesla-450-rtcore
Description-md5: e33dc70872ee412fcbe52b18fdeec8ae
Description-en: NVIDIA binary Vulkan ray tracing (rtcore) library (Tesla 450 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private rtcore library used by the NVIDIA
 implementation of Vulkan.

Package: nvidia-tesla-450-alternative
Description-md5: 3fd8926a60b717261075a53fec40cd91
Description-en: allows the selection of NVIDIA as GLX provider (Tesla 450 version)
 In setups with several NVIDIA driver versions installed (e.g. current and
 legacy) this metapackage registers an alternative to allow easy switching
 between the different versions.
 .
 Use 'update-glx --config nvidia' to select a version.
 .
 This package does not depend on the corresponding NVIDIA libraries.
 In order to install the NVIDIA driver and libraries, install the
 nvidia-tesla-450-driver package instead.

Package: nvidia-tesla-450-driver
Description-md5: 4393dda36816f44755727fd4643b7756
Description-en: NVIDIA metapackage (Tesla 450 version)
 This metapackage depends on the NVIDIA binary driver and libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES/Vulkan applications via a direct-rendering X Server.
 .
 Please see the nvidia-tesla-450-kernel-dkms or
 nvidia-tesla-450-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-450-kernel-450.203.03.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-450-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 Building the kernel module has been tested up to Linux 5.19.

Package: nvidia-tesla-450-driver-bin
Description-md5: 0d5ff3f349ab841d33ce00c1d30ec8e4
Description-en: NVIDIA driver support binaries (Tesla 450 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains supporting binaries for the driver.

Package: nvidia-tesla-450-driver-libs
Description-md5: 134503173a20d3ddbf95751e141f1b1d
Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries) (Tesla 450 version)
 This metapackage depends on the NVIDIA binary libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.

Package: nvidia-tesla-450-egl-icd
Description-md5: 48bb1c6fd6391aad335bab10bc4ab1eb
Description-en: NVIDIA EGL installable client driver (ICD)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 EGL via GLVND which supports NVIDIA GPUs.

Package: nvidia-tesla-450-kernel-dkms
Description-md5: 1156e7b4baa0d56d811282ff135ae816
Description-en: NVIDIA binary kernel module DKMS source (Tesla 450 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-450-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-450-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-450-kernel-dkms
Description-md5: a27d944ed0ec2c9086ffca16a80d90b0
Description-en: NVIDIA binary kernel module DKMS source (Tesla 450 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-450-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-450-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-450-kernel-dkms
Description-md5: b06a96dc5280041674755dca3d11630e
Description-en: NVIDIA binary kernel module DKMS source (Tesla 450 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-450-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-450-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-450-kernel-source
Description-md5: 3c99f8596896e398dee6741aad559b0a
Description-en: NVIDIA binary kernel module source (Tesla 450 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-450-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-450-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-450-kernel-dkms instead.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-450-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-450-kernel-source
Description-md5: 7665f363313270e728c89d0a54fee50d
Description-en: NVIDIA binary kernel module source (Tesla 450 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-450-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-450-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-450-kernel-dkms instead.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-450-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-450-kernel-source
Description-md5: 7807b48f39e5385372b9f1d1ea3e56e7
Description-en: NVIDIA binary kernel module source (Tesla 450 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-450-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-450-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-450-kernel-dkms instead.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-450-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-450-kernel-support
Description-md5: 2853241145523d47aa1df5702b2e00fa
Description-en: NVIDIA binary kernel module support files (Tesla 450 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package provides supporting configuration for the kernel module.

Package: nvidia-tesla-450-opencl-icd
Description-md5: 45de4a96dacb33f020860ae3eaed95d9
Description-en: NVIDIA OpenCL installable client driver (ICD) (Tesla 450 version)
 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package provides the NVIDIA installable client driver (ICD) for OpenCL
 which supports NVIDIA GPUs. This ICD supports OpenCL 1.x only.

Package: nvidia-tesla-450-smi
Description-md5: ab3d5a4e3b2096015eb44a91fbf42e18
Description-en: NVIDIA System Management Interface (Tesla 450 version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 The application "nvidia-smi" is the NVIDIA System Management Interface (NVSMI)
 and provides a command line interface to this functionality.
 .
 See the output from the --help command line option for supported models and
 further information.

Package: nvidia-tesla-450-vdpau-driver
Description-md5: 2b261c3e6ed8d18c0c01f4a64ab9b988
Description-en: Video Decode and Presentation API for Unix - NVIDIA driver (Tesla 450)
 These libraries provide the Video Decode and Presentation API for Unix.
 They provide accelerated video playback (incl. H.264) for the supported
 graphics cards.
 .
 This package contains the NVIDIA VDPAU driver.
 .
 See /usr/share/doc/nvidia-tesla-450-vdpau-driver/README.txt.gz
 for more information.
 .
 Please see the nvidia-tesla-450-kernel-dkms or
 nvidia-tesla-450-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-450-kernel-450.203.03.

Package: nvidia-tesla-450-vulkan-icd
Description-md5: 831e0e24d4194e90f372bee5cb7c6007
Description-en: NVIDIA Vulkan installable client driver (ICD) (Tesla 450 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 Vulkan (GLVND variant) which supports NVIDIA GPUs.

Package: xserver-xorg-video-nvidia-tesla-450
Description-md5: c386902bc7ab0c2d8d0c0560ff5e3d04
Description-en: NVIDIA binary Xorg driver (Tesla 450 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 Please see the nvidia-tesla-450-kernel-dkms or
 nvidia-tesla-450-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-450-kernel-450.203.03.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-450-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

Package: libegl-nvidia-tesla-460-0
Description-md5: badb3907c0e065c067ee6658afdaec55
Description-en: NVIDIA binary EGL library (Tesla 460 version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 See the description of the nvidia-tesla-460-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-460-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary EGL implementation provided
 by NVIDIA that is accessed via GLVND.

Package: libgl1-nvidia-tesla-460-glvnd-glx
Description-md5: 90873d3db92e6ecff70ad341a86ba9d8
Description-en: NVIDIA binary OpenGL/GLX library (GLVND variant) (Tesla 460 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 See the description of the nvidia-tesla-460-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-460-glvnd-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This metapackage depends on the NVIDIA binary OpenGL/GLX implementation using
 GLVND and the corresponding GLVND loader library.

Package: libgles-nvidia-tesla-460-1
Description-md5: 03f4bdef7bad46319231b1875e4ac655
Description-en: NVIDIA binary OpenGL|ES 1.x library (Tesla 460 version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 1.x provides an API for fixed-function hardware.
 .
 See the description of the nvidia-tesla-460-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-460-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 1.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libgles-nvidia-tesla-460-2
Description-md5: b41317a61cc0f42582b7eb4b6696f80d
Description-en: NVIDIA binary OpenGL|ES 2.x library (Tesla 460 version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 2.x provides an API for programmable hardware including vertex
 and fragment shaders.
 .
 See the description of the nvidia-tesla-460-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-460-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 2.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libglx-nvidia-tesla-460-0
Description-md5: a9518d2535a00f16f14121795859ee70
Description-en: NVIDIA binary GLX library (Tesla 460 version)
 GLX ("OpenGL Extension to the X Window System") provides an interface between
 OpenGL and the X Window System as well as extensions to OpenGL itself.
 .
 See the description of the nvidia-tesla-460-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-460-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary GLX implementation by NVIDIA
 that is accessed via GLVND.

Package: libnvidia-tesla-460-allocator1
Description-md5: 8ec6ba60b215d3f4f0ed1f41cc86f724
Description-en: NVIDIA allocator runtime library (Tesla 460 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private nvidia-allocator runtime library.

Package: libnvidia-tesla-460-cbl
Description-md5: 2cc9b554f6c7c752bec9c08ea06cff1e
Description-en: NVIDIA binary Vulkan ray tracing (cbl) library (Tesla 460 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private cbl library used by the NVIDIA
 implementation of Vulkan.

Package: libnvidia-tesla-460-cfg1
Description-md5: 516d7e9dd7aadc82e6a62b6379317f9f
Description-en: NVIDIA binary OpenGL/GLX configuration library (Tesla 460 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the libnvidia-cfg.so.1 runtime library.

Package: libnvidia-tesla-460-compiler
Description-md5: a5d3d3aa47fe0d46b64e68af58f37f72
Description-en: NVIDIA runtime compiler library (Tesla 460 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime compiler library.

Package: libnvidia-tesla-460-cuda1
Description-md5: 847099e39b732b1801863d514da762c4
Description-en: NVIDIA CUDA Driver Library (Tesla 460 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the CUDA Driver API library for low-level CUDA
 programming.
 .
 Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
 series, as well as the Tesla computing processors.
 .
 Please see the nvidia-tesla-460-kernel-dkms or
 nvidia-tesla-460-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-460-kernel-460.106.00.

Package: libnvidia-tesla-460-eglcore
Description-md5: 21ca89a16bf00c298cbcb32570a435f1
Description-en: NVIDIA binary EGL core libraries (Tesla 460 version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of EGL and OpenGL|ES.

Package: libnvidia-tesla-460-encode1
Description-md5: d106f301955e463a7d479fc98c245e4c
Description-en: NVENC Video Encoding runtime library (Tesla 460 version)
 The NVENC Video Encoding library provides an interface to video encoder
 hardware on supported NVIDIA GPUs.
 .
 This package contains the nvidia-encode runtime library.

Package: libnvidia-tesla-460-fbc1
Description-md5: f488ea2a4429cb864e4f8ff89352c7e6
Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library (Tesla 460 version)
 The NVIDIA OpenGL-based Framebuffer Capture (NvFBCOpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvFBCOpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvFBCOpenGL runtime library.

Package: libnvidia-tesla-460-glcore
Description-md5: 26e2216900eec6dc044490ea72c2ffae
Description-en: NVIDIA binary OpenGL/GLX core libraries (Tesla 460 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of OpenGL and GLX.

Package: libnvidia-tesla-460-glvkspirv
Description-md5: cf2cf53c31bd526c4e4b89a898ad9a7b
Description-en: NVIDIA binary Vulkan Spir-V compiler library (Tesla 460 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library provides a NVIDIA Vulkan Spir-V compiler which reduces shader
 compilation time and shader system memory consumption.
 .
 This package contains the private Spir-V compiler libraries used by the
 NVIDIA implementation of Vulkan.

Package: libnvidia-tesla-460-ifr1
Description-md5: 3b87afe7c831c5bb615a1028b18659e6
Description-en: NVIDIA OpenGL-based Inband Frame Readback runtime library (Tesla 460)
 The NVIDIA OpenGL-based Inband Frame Readback (NvIFROpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvIFROpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvIFROpenGL runtime library.

Package: libnvidia-tesla-460-ml1
Description-md5: 6a0f36fe77d1e96c734a0bed91baf117
Description-en: NVIDIA Management Library (NVML) runtime library (Tesla 460 version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 It provides a direct access to the queries and commands exposed via nvidia-smi.
 .
 This package contains the nvidia-ml runtime library.

Package: libnvidia-tesla-460-ngx1
Description-md5: b46148b686074165bd8f7b4b82a0f972
Description-en: NVIDIA NGX runtime library (Tesla 460)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the NVIDIA NGX runtime library.

Package: libnvidia-tesla-460-nvcuvid1
Description-md5: b74fdf8d35a003e4b8ead0fc8d821bb1
Description-en: NVIDIA CUDA Video Decoder runtime library (Tesla 460 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to
 hardware video decoding capabilities on NVIDIA GPUs with CUDA.
 .
 This package contains the nvcuvid runtime library.

Package: libnvidia-tesla-460-nvoptix1
Description-md5: f35c49a7b3663ec4689e4fd5e6039d04
Description-en: NVIDIA implementation of the OptiX ray tracing engine (Tesla 460 version)
 The OptiX API is an application framework for achieving optimal ray tracing
 performance on the GPU.
 .
 This package contains runtime library of the OptiX ray tracing engine
 implementation for NVIDIA CUDA.
 It is used by liboptix.so.* coming with applications using the OptiX API.

Package: libnvidia-tesla-460-opticalflow1
Description-md5: e59eeb0b2246066e680518cb12dac1a3
Description-en: NVIDIA Optical Flow runtime library (Tesla 460 version)
 The NVIDIA Optical Flow SDK exposes the latest hardware capability of Turing
 GPUs dedicated to computing the relative motion of pixels between images.
 .
 This package contains the Optical Flow runtime library.

Package: libnvidia-tesla-460-ptxjitcompiler1
Description-md5: 94c62b184aa30d32f29c26ae6fefa45c
Description-en: NVIDIA PTX JIT Compiler library (Tesla 460 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime PTX JIT Compiler library.

Package: libnvidia-tesla-460-rtcore
Description-md5: 1826f48f1d7f35a06f66825a66591781
Description-en: NVIDIA binary Vulkan ray tracing (rtcore) library (Tesla 460 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private rtcore library used by the NVIDIA
 implementation of Vulkan.

Package: nvidia-tesla-460-alternative
Description-md5: 1fe52d0fc0b7bae8336a48a35e98bfcc
Description-en: allows the selection of NVIDIA as GLX provider (Tesla 460 version)
 In setups with several NVIDIA driver versions installed (e.g. current and
 legacy) this metapackage registers an alternative to allow easy switching
 between the different versions.
 .
 Use 'update-glx --config nvidia' to select a version.
 .
 This package does not depend on the corresponding NVIDIA libraries.
 In order to install the NVIDIA driver and libraries, install the
 nvidia-tesla-460-driver package instead.

Package: nvidia-tesla-460-driver
Description-md5: 5a47421cb510da5b6305939bfcd83290
Description-en: NVIDIA metapackage (Tesla 460 version)
 This metapackage depends on the NVIDIA binary driver and libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES/Vulkan applications via a direct-rendering X Server.
 .
 Please see the nvidia-tesla-460-kernel-dkms or
 nvidia-tesla-460-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-460-kernel-460.106.00.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-460-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 Building the kernel module has been tested up to Linux 5.18.

Package: nvidia-tesla-460-driver-bin
Description-md5: d1f8ff34784c7b360d439d381a8e5b96
Description-en: NVIDIA driver support binaries (Tesla 460 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains supporting binaries for the driver.

Package: nvidia-tesla-460-driver-libs
Description-md5: b18467672ca090cb6594b63c9cee0b6a
Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries) (Tesla 460 version)
 This metapackage depends on the NVIDIA binary libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.

Package: nvidia-tesla-460-egl-icd
Description-md5: 48bb1c6fd6391aad335bab10bc4ab1eb
Description-en: NVIDIA EGL installable client driver (ICD)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 EGL via GLVND which supports NVIDIA GPUs.

Package: nvidia-tesla-460-kernel-dkms
Description-md5: 300aea21bdd89e63dce5c9fc6dcd395b
Description-en: NVIDIA binary kernel module DKMS source (Tesla 460 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-460-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-460-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.18.

Package: nvidia-tesla-460-kernel-dkms
Description-md5: 79e4a0ba09c0e25a5ca026df4003bb1b
Description-en: NVIDIA binary kernel module DKMS source (Tesla 460 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-460-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-460-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 5.18.

Package: nvidia-tesla-460-kernel-dkms
Description-md5: cf3d4791975340bda60b2797b09faa23
Description-en: NVIDIA binary kernel module DKMS source (Tesla 460 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-460-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-460-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 5.18.

Package: nvidia-tesla-460-kernel-source
Description-md5: 24c72b3ec8e0e657e4bedb6d372f80b3
Description-en: NVIDIA binary kernel module source (Tesla 460 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-460-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-460-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-460-kernel-dkms instead.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-460-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 5.18.

Package: nvidia-tesla-460-kernel-source
Description-md5: 75b303e4c9b866e1a9cb00b201ebab93
Description-en: NVIDIA binary kernel module source (Tesla 460 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-460-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-460-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-460-kernel-dkms instead.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-460-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.18.

Package: nvidia-tesla-460-kernel-source
Description-md5: acd5444110417b0f792c945308e161a6
Description-en: NVIDIA binary kernel module source (Tesla 460 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-460-driver in a form suitable
 for use by module-assistant or kernel-package.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-460-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-460-kernel-dkms instead.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-460-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 5.18.

Package: nvidia-tesla-460-kernel-support
Description-md5: 2f3a8b7a7e2104c9913f3abff44cb80b
Description-en: NVIDIA binary kernel module support files (Tesla 460 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package provides supporting configuration for the kernel module.

Package: nvidia-tesla-460-opencl-icd
Description-md5: f783a876e19685cbe081a768edefc88f
Description-en: NVIDIA OpenCL installable client driver (ICD) (Tesla 460 version)
 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package provides the NVIDIA installable client driver (ICD) for OpenCL
 which supports NVIDIA GPUs. This ICD supports OpenCL 1.x only.

Package: nvidia-tesla-460-smi
Description-md5: 47c41253a057ac0aeeb67410a710329f
Description-en: NVIDIA System Management Interface (Tesla 460 version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 The application "nvidia-smi" is the NVIDIA System Management Interface (NVSMI)
 and provides a command line interface to this functionality.
 .
 See the output from the --help command line option for supported models and
 further information.

Package: nvidia-tesla-460-vdpau-driver
Description-md5: 0ae22f13ea88e60433ec5c2d410068ce
Description-en: Video Decode and Presentation API for Unix - NVIDIA driver (Tesla 460)
 These libraries provide the Video Decode and Presentation API for Unix.
 They provide accelerated video playback (incl. H.264) for the supported
 graphics cards.
 .
 This package contains the NVIDIA VDPAU driver.
 .
 See /usr/share/doc/nvidia-tesla-460-vdpau-driver/README.txt.gz
 for more information.
 .
 Please see the nvidia-tesla-460-kernel-dkms or
 nvidia-tesla-460-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-460-kernel-460.106.00.

Package: nvidia-tesla-460-vulkan-icd
Description-md5: 2c40d33564a42d6215ae2127f8c6725b
Description-en: NVIDIA Vulkan installable client driver (ICD) (Tesla 460 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 Vulkan (GLVND variant) which supports NVIDIA GPUs.

Package: xserver-xorg-video-nvidia-tesla-460
Description-md5: 5e9a2c1af75e44891e518d500e08dfce
Description-en: NVIDIA binary Xorg driver (Tesla 460 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 Please see the nvidia-tesla-460-kernel-dkms or
 nvidia-tesla-460-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-460-kernel-460.106.00.
 .
 This version only supports GeForce, Quadro, NVS, Tesla, ... GPUs based on the
 Kepler, Maxwell, Volta, Turing, or newer architectures.
 Look at the legacy packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-460-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

Package: libegl-nvidia-tesla-470-0
Description-md5: 52c38794ee1484bdff51276c594734d6
Description-en: NVIDIA binary EGL library (Tesla 470 version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 See the description of the nvidia-tesla-470-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-470-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary EGL implementation provided
 by NVIDIA that is accessed via GLVND.

Package: libgl1-nvidia-tesla-470-glvnd-glx
Description-md5: d167913ca39c15aecdf5d7ec22a895bb
Description-en: NVIDIA binary OpenGL/GLX library (GLVND variant) (Tesla 470 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 See the description of the nvidia-tesla-470-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-470-glvnd-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This metapackage depends on the NVIDIA binary OpenGL/GLX implementation using
 GLVND and the corresponding GLVND loader library.

Package: libgles-nvidia-tesla-470-1
Description-md5: 2363bcc4095919bb3d7d59c4b356ed8d
Description-en: NVIDIA binary OpenGL|ES 1.x library (Tesla 470 version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 1.x provides an API for fixed-function hardware.
 .
 See the description of the nvidia-tesla-470-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-470-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 1.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libgles-nvidia-tesla-470-2
Description-md5: 7912750b01f237feaa4560a7c00837e6
Description-en: NVIDIA binary OpenGL|ES 2.x library (Tesla 470 version)
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 OpenGL|ES 2.x provides an API for programmable hardware including vertex
 and fragment shaders.
 .
 See the description of the nvidia-tesla-470-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-470-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary OpenGL|ES 2.x implementation
 by NVIDIA that is accessed via GLVND.

Package: libglx-nvidia-tesla-470-0
Description-md5: 1fc772f235271071013ee9d67a2129da
Description-en: NVIDIA binary GLX library (Tesla 470 version)
 GLX ("OpenGL Extension to the X Window System") provides an interface between
 OpenGL and the X Window System as well as extensions to OpenGL itself.
 .
 See the description of the nvidia-tesla-470-driver package
 or /usr/share/doc/libgl1-nvidia-tesla-470-glx/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the driver specific binary GLX implementation by NVIDIA
 that is accessed via GLVND.

Package: libnvidia-tesla-470-allocator1
Description-md5: 40c9c8dfa6bc8c35a0a7b2889a7acf87
Description-en: NVIDIA allocator runtime library (Tesla 470 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private nvidia-allocator runtime library.

Package: libnvidia-tesla-470-cbl
Description-md5: ceb533726737bd9e127b5cf336c8b9f9
Description-en: NVIDIA binary Vulkan ray tracing (cbl) library (Tesla 470 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private cbl library used by the NVIDIA
 implementation of Vulkan.

Package: libnvidia-tesla-470-cfg1
Description-md5: 6001b9d987d0264c02b94519574470b0
Description-en: NVIDIA binary OpenGL/GLX configuration library (Tesla 470 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the libnvidia-cfg.so.1 runtime library.

Package: libnvidia-tesla-470-compiler
Description-md5: 6bcc6309b892a135654ebadab8e142ca
Description-en: NVIDIA runtime compiler library (Tesla 470 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime compiler library.

Package: libnvidia-tesla-470-cuda1
Description-md5: e5f16c5a5cc2a33496f877f4b98f5023
Description-en: NVIDIA CUDA Driver Library (Tesla 470 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the CUDA Driver API library for low-level CUDA
 programming.
 .
 Supported NVIDIA devices include GPUs starting from GeForce 8 and Quadro FX
 series, as well as the Tesla computing processors.
 .
 Please see the nvidia-tesla-470-kernel-dkms or
 nvidia-tesla-470-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-470-kernel-470.141.03.

Package: libnvidia-tesla-470-eglcore
Description-md5: 9ce14eda75493dcc4b1af988df460106
Description-en: NVIDIA binary EGL core libraries (Tesla 470 version)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 OpenGL|ES is a cross-platform API for full-function 2D and 3D graphics on
 embedded systems - including consoles, phones, appliances and vehicles.
 It contains a subset of OpenGL plus a number of extensions for the
 special needs of embedded systems.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of EGL and OpenGL|ES.

Package: libnvidia-tesla-470-encode1
Description-md5: 59b02491ee88dd221b14fba5f8018cb5
Description-en: NVENC Video Encoding runtime library (Tesla 470 version)
 The NVENC Video Encoding library provides an interface to video encoder
 hardware on supported NVIDIA GPUs.
 .
 This package contains the nvidia-encode runtime library.

Package: libnvidia-tesla-470-fbc1
Description-md5: f3f09330e12344b791263d3a942c2772
Description-en: NVIDIA OpenGL-based Framebuffer Capture runtime library (Tesla 470 version)
 The NVIDIA OpenGL-based Framebuffer Capture (NvFBCOpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvFBCOpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvFBCOpenGL runtime library.

Package: libnvidia-tesla-470-glcore
Description-md5: 2d48525de4ab549b600bf5fdc9abcbb9
Description-en: NVIDIA binary OpenGL/GLX core libraries (Tesla 470 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the private core libraries used by the NVIDIA
 implementation of OpenGL and GLX.

Package: libnvidia-tesla-470-glvkspirv
Description-md5: a58df5ca5e38ce153be0cca8afd117a5
Description-en: NVIDIA binary Vulkan Spir-V compiler library (Tesla 470 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library provides a NVIDIA Vulkan Spir-V compiler which reduces shader
 compilation time and shader system memory consumption.
 .
 This package contains the private Spir-V compiler libraries used by the
 NVIDIA implementation of Vulkan.

Package: libnvidia-tesla-470-ifr1
Description-md5: c71e083ab37f20e3d7afb5a8db383bdb
Description-en: NVIDIA OpenGL-based Inband Frame Readback runtime library (Tesla 470)
 The NVIDIA OpenGL-based Inband Frame Readback (NvIFROpenGL) library provides
 a high performance, low latency interface to capture and optionally encode an
 OpenGL framebuffer. NvIFROpenGL is a private API that is only available to
 approved partners for use in remote graphics scenarios.
 .
 This package contains the NvIFROpenGL runtime library.

Package: libnvidia-tesla-470-ml1
Description-md5: da89930dc3e4d41abfc51c6bf3131467
Description-en: NVIDIA Management Library (NVML) runtime library (Tesla 470 version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 It provides a direct access to the queries and commands exposed via nvidia-smi.
 .
 This package contains the nvidia-ml runtime library.

Package: libnvidia-tesla-470-ngx1
Description-md5: 7207ae89c9339ee93fa3aa14df022022
Description-en: NVIDIA NGX runtime library (Tesla 470)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains the NVIDIA NGX runtime library.

Package: libnvidia-tesla-470-nvcuvid1
Description-md5: d09fa43276418a36bec6fcd8d5281f8d
Description-en: NVIDIA CUDA Video Decoder runtime library (Tesla 470 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to
 hardware video decoding capabilities on NVIDIA GPUs with CUDA.
 .
 This package contains the nvcuvid runtime library.

Package: libnvidia-tesla-470-nvoptix1
Description-md5: 2bb020413f85aae31202735ff7b0eaac
Description-en: NVIDIA implementation of the OptiX ray tracing engine (Tesla 470 version)
 The OptiX API is an application framework for achieving optimal ray tracing
 performance on the GPU.
 .
 This package contains runtime library of the OptiX ray tracing engine
 implementation for NVIDIA CUDA.
 It is used by liboptix.so.* coming with applications using the OptiX API.

Package: libnvidia-tesla-470-nvvm4
Description-md5: 432c5a9fc3639a5b794b76c45ca1726b
Description-en: NVIDIA NVVM Compiler library (Tesla 470 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the NVVM Compiler library.

Package: libnvidia-tesla-470-opticalflow1
Description-md5: 2f10dd31401cfc18e9f03e03638bf334
Description-en: NVIDIA Optical Flow runtime library (Tesla 470 version)
 The NVIDIA Optical Flow SDK exposes the latest hardware capability of Turing
 GPUs dedicated to computing the relative motion of pixels between images.
 .
 This package contains the Optical Flow runtime library.

Package: libnvidia-tesla-470-ptxjitcompiler1
Description-md5: 69e3bd363a07d6cfcf29d8e905ce8dcb
Description-en: NVIDIA PTX JIT Compiler library (Tesla 470 version)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 This package contains the runtime PTX JIT Compiler library.

Package: libnvidia-tesla-470-rtcore
Description-md5: 4be144255cd57f062d5b36c985c4e417
Description-en: NVIDIA binary Vulkan ray tracing (rtcore) library (Tesla 470 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This library is part of the Vulkan real-time ray tracing extensions
 (VK_NV_raytracing) implementation by NVIDIA.
 .
 This package contains the private rtcore library used by the NVIDIA
 implementation of Vulkan.

Package: nvidia-cuda-mps
Description-md5: c5434f0c594dc7047cdf712a673ccf7c
Description-en: NVIDIA CUDA Multi Process Service (MPS)
 The Compute Unified Device Architecture (CUDA) enables NVIDIA
 graphics processing units (GPUs) to be used for massively parallel
 general purpose computation.
 .
 CUDA MPS is a feature that allows multiple CUDA processes to share a single
 GPU context. CUDA MPS should be transparent to CUDA programs.
 .
 CUDA MPS requires a device that supports Unified Virtual Address (UVA) and
 has compute capability SM 3.5 or higher.
 Pre-CUDA 4.0 APIs are not supported under CUDA MPS.

Package: nvidia-tesla-470-alternative
Description-md5: 21d78ef612cafffe1e396c605b3a57af
Description-en: allows the selection of NVIDIA as GLX provider (Tesla 470 version)
 In setups with several NVIDIA driver versions installed (e.g. current and
 legacy) this metapackage registers an alternative to allow easy switching
 between the different versions.
 .
 Use 'update-glx --config nvidia' to select a version.
 .
 This package does not depend on the corresponding NVIDIA libraries.
 In order to install the NVIDIA driver and libraries, install the
 nvidia-tesla-470-driver package instead.

Package: nvidia-tesla-470-driver
Description-md5: b1c9a796de3bd29279e919b8eeb63d4c
Description-en: NVIDIA metapackage (Tesla 470 version)
 This metapackage depends on the NVIDIA binary driver and libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES/Vulkan applications via a direct-rendering X Server.
 .
 Please see the nvidia-tesla-470-kernel-dkms or
 nvidia-tesla-470-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-470-kernel-470.141.03.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-470-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 Building the kernel module has been tested up to Linux 5.19.

Package: nvidia-tesla-470-driver-bin
Description-md5: c740690eca57c0061bc17f8f28d73671
Description-en: NVIDIA driver support binaries (Tesla 470 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package contains supporting binaries for the driver.

Package: nvidia-tesla-470-driver-libs
Description-md5: fd12997a1d112b44e78d93d467644a0c
Description-en: NVIDIA metapackage (OpenGL/GLX/EGL/GLES libraries) (Tesla 470 version)
 This metapackage depends on the NVIDIA binary libraries
 that provide optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server.

Package: nvidia-tesla-470-egl-icd
Description-md5: 48bb1c6fd6391aad335bab10bc4ab1eb
Description-en: NVIDIA EGL installable client driver (ICD)
 EGL provides a platform-agnostic mechanism for creating rendering surfaces
 for use with other graphics libraries, such as OpenGL|ES.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 EGL via GLVND which supports NVIDIA GPUs.

Package: nvidia-tesla-470-kernel-dkms
Description-md5: 06f504220ef29cf149eb135bbd6b49ad
Description-en: NVIDIA binary kernel module DKMS source (Tesla 470 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-470-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-470-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-470-kernel-dkms
Description-md5: 44398b5f0bfab59de2f84c9eebfd8837
Description-en: NVIDIA binary kernel module DKMS source (Tesla 470 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-470-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-470-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-470-kernel-dkms
Description-md5: ab55c78e414072915238111fc24bd1d2
Description-en: NVIDIA binary kernel module DKMS source (Tesla 470 version)
 This package builds the NVIDIA binary kernel modules needed by
 nvidia-tesla-470-driver, using DKMS.
 Provided that you have the kernel header packages installed, the kernel
 module will be built for your running kernel and automatically rebuilt for
 any new kernel headers that are installed.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-470-kernel-dkms/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-470-kernel-source
Description-md5: 61f6ecca0b9b605c5d4ba6de6378471f
Description-en: NVIDIA binary kernel module source (Tesla 470 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-470-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-470-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-470-kernel-dkms instead.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-470-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 amd64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-470-kernel-source
Description-md5: 623e5832d53f2075702ce785239221ff
Description-en: NVIDIA binary kernel module source (Tesla 470 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-470-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-470-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-470-kernel-dkms instead.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-470-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 ppc64el architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-470-kernel-source
Description-md5: 8d32b2ecfee55ed47ca7f693a42e623f
Description-en: NVIDIA binary kernel module source (Tesla 470 version)
 This package provides the source for the NVIDIA binary kernel modules
 needed by nvidia-tesla-470-driver in a form suitable
 for use by module-assistant.
 .
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 PLEASE read /usr/share/doc/nvidia-tesla-470-kernel-source/README.Debian.gz
 for building information. If you want the kernel module to be automatically
 installed via DKMS, install nvidia-tesla-470-kernel-dkms instead.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-470-kernel-source/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.
 .
 This package contains the blobs for building kernel modules for the
 arm64 architecture.
 Building the kernel modules has been tested up to Linux 5.19.

Package: nvidia-tesla-470-kernel-support
Description-md5: 6e7bfe61c71e67983d52361ca9600416
Description-en: NVIDIA binary kernel module support files (Tesla 470 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 This package provides supporting configuration for the kernel module.

Package: nvidia-tesla-470-opencl-icd
Description-md5: 96d9ff16574e9d09d2f2391ebd2d31ca
Description-en: NVIDIA OpenCL installable client driver (ICD) (Tesla 470 version)
 OpenCL (Open Computing Language) is a multivendor open standard for
 general-purpose parallel programming of heterogeneous systems that include
 CPUs, GPUs and other processors.
 .
 This package provides the NVIDIA installable client driver (ICD) for OpenCL
 which supports NVIDIA GPUs. This ICD supports OpenCL 1.x only.

Package: nvidia-tesla-470-smi
Description-md5: a51ddee5a90e466e25fadd89add6f762
Description-en: NVIDIA System Management Interface (Tesla 470 version)
 The NVIDIA Management Library (NVML) provides a monitoring and management API.
 The application "nvidia-smi" is the NVIDIA System Management Interface (NVSMI)
 and provides a command line interface to this functionality.
 .
 See the output from the --help command line option for supported models and
 further information.

Package: nvidia-tesla-470-vdpau-driver
Description-md5: 2e4bd9410aafe280acd098c5195a2224
Description-en: Video Decode and Presentation API for Unix - NVIDIA driver (Tesla 470)
 These libraries provide the Video Decode and Presentation API for Unix.
 They provide accelerated video playback (incl. H.264) for the supported
 graphics cards.
 .
 This package contains the NVIDIA VDPAU driver.
 .
 See /usr/share/doc/nvidia-tesla-470-vdpau-driver/README.txt.gz
 for more information.
 .
 Please see the nvidia-tesla-470-kernel-dkms or
 nvidia-tesla-470-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-470-kernel-470.141.03.

Package: nvidia-tesla-470-vulkan-icd
Description-md5: 8932f3ac9eee7570fffc87ba6ef73025
Description-en: NVIDIA Vulkan installable client driver (ICD) (Tesla 470 version)
 Vulkan is a multivendor open standard by the Khronos Group for 3D graphics.
 .
 This metapackage provides the NVIDIA installable client driver (ICD) for
 Vulkan (GLVND variant) which supports NVIDIA GPUs.

Package: xserver-xorg-video-nvidia-tesla-470
Description-md5: 9502d70d59be6edeafff17d730d931da
Description-en: NVIDIA binary Xorg driver (Tesla 470 version)
 The NVIDIA binary driver provides optimized hardware acceleration of
 OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
 for graphics cards using NVIDIA chip sets.
 .
 Please see the nvidia-tesla-470-kernel-dkms or
 nvidia-tesla-470-kernel-source packages
 for building the kernel module required by this package.
 This will provide nvidia-tesla-470-kernel-470.141.03.
 .
 This version only supports GeForce, NVS, Quadro, RTX, Tesla, ... GPUs based on
 the Kepler, Maxwell, Pascal, Volta, Turing, Ampere, or newer architectures.
 The (Tesla) 470 drivers are the last driver series supporting GPUs based on
 the Kepler architecture.
 Look at the legacy driver packages for older cards.
 .
 See /usr/share/doc/nvidia-tesla-470-driver/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

Package: otrs
Description-md5: f22f1489d0bca8e0b5370738fa5f2be0
Description-en: Open Ticket Request System (Znuny 6)
 Znuny is an Open source Ticket Request System (also well known as
 trouble ticket system) with many features to manage customer telephone
 calls and e-mails. The system is built to allow your support, sales,
 pre-sales, billing, internal IT, helpdesk, etc. department to react
 quickly to inbound inquiries.
 .
 This package depends on the otrs2 6.x series package.

Package: otrs2
Description-md5: 290701760a3865670b9dccd7b92a308c
Description-en: Open Ticket Request System Znuny
 Znuny is an Open source Ticket Request System (also well known as
 trouble ticket system) with many features to manage customer telephone
 calls and e-mails. The system is built to allow your support, sales,
 pre-sales, billing, internal IT, helpdesk, etc. department to react
 quickly to inbound inquiries.
 .
 This package ships version 6 of Znuny.

Package: proj-rdnap
Description-md5: 56b7d4a3af661f6f4c745f395411f4c9
Description-en: RDNAP grid correction files for PROJ
 Kadaster and Rijkswaterstaat CIV, working together under the name RDNAP,
 developed RDNAPTRANS™2008, the precise and official transformation
 between ETRS89 and the dutch national horizontal and vertical coordinate
 reference systems the Stelsel van de Rijksdriehoeksmeting (RD) and the
 Normaal Amsterdams Peil (NAP). A ‘simplified’ procedure has been
 developed which uses a NTv2-grid for the transformation between ETRS89
 and RD as well as a VDatum-grid for the transformation between ETRS89
 and NAP. This ‘simplified’ procedure has the following limitations:
 .
  1) The rdtrans2008 NTv2-grid can only give identical results to
     RDNAPTRANS™2008 within 1 millimeter at ground level onshore and at
     mean sea level offshore. The horizontal deviation is approximately
     1 millimeter per 50 meter height difference from ground level or mean
     sea level.
  2) An exception to 1) is the border of the RDNAPTRANS™2008 correction
     grid. Transformation results within cells of the rdtrans2008 NTv2-grid
     that are intersected by the border of the RDNAPTRANS™2008 correction
     grid can result in deviations of up to 20 centimeter.
  3) The naptrans2008 VDatum-grid cannot be used to determine deflections
     of the vertical. For this the NLGEO2004 geoid model has to be used.
  4) The naptrans2008 VDatum-grid is referenced to the Bessel-1841 ellipsoid
     and cannot be used stand-alone, it has to be used in combination with
     the rdtrans2008 NTv2-grid.
 .
 Taking into account the limitations listed above, the rdtrans2008 NTv2-grid
 and naptrans2008 VDatum-grid can be used as an alternative to
 RDNAPTRANS™2008 to transform geographic ETRS89-coordinates to
 projected RD-coordinates with grid correction applied and NAP-heights.
 .
 Note that, although the resulting RD/NAP and ETRS89 coordinates from the
 transformation will be correct, geographic Bessel-1841 coordinates will
 differ in both procedures and should only be considered as an intermediate
 result.
 .
 RDNAPTRANS™2018 contains a new datum transformation based on the updated
 ETRS89 coordinates of realisation ETRF2000(R14). Next to this, a new and
 slightly more precise quasi-geoid grid model is used. This NLGEO2018
 quasi-geoid model covers a larger area including a large part of the North
 Sea. A change with big impact is the use of a new data format of the grid
 files and a corresponding transformation procedure that changes the order
 of the steps of the transformation and uses a fixed height in the datum
 transformation. As a result, the transformation is now possible conform a
 de facto standard by including the datum transformation in the correction
 grid (variant 2). This allows straightforward implementation in software
 like GIS packages and can resolve current problems due to incorrect
 implementations of the transformation.
 .
 Within the administrative borders of the Netherlands, the differences in
 the resulting horizontal coordinates due to the changes from version 2008
 to 2018 of RDNAPTRANS™ are at maximum 0.010 m at sea level (zero NAP
 height), and at maximum an additional 0.001 m per 50 m height above or
 below zero NAP height. The maximum change in the transformed height
 coordinates due to the slightly more precise new quasi-geoid grid model
 is about 0.025 m. The new correction grid has a different sampling in
 ellipsoidal coordinates. With this resampling, discontinuities in the
 correction grid are smoothed, especially outside the administrative
 borders of the Netherlands, to allow bilinear interpolation. As a result,
 changes in the resulting horizontal coordinates up to 0.05 m occur
 occasionally in Belgium, Germany and the Dutch EEZ. To use the same
 bounding box around the Netherlands including the Dutch EEZ of the
 North Sea of the quasi-geoid grid model for the correction grid, the
 correction grid has been faded out to zero correction for a seamless
 land-sea transition. This introduces latitude and longitude corrections
 up to 0.25 m in areas outside the former validity area of RDNAPTRANS™
 where no corrections were defined before.
 .
 There are two variants for the implementation of RDNAPTRANS™2018.
 Implementation variant 1 applies the datum transformation as a separate
 step using a 3D similarity transformation. Implementation variant 2
 includes the datum transformation in the correction grid and a different
 quasi-geoid grid for the height transformation is used. The advantage of
 implementation variant 1 is that it has no strict bounds for the area
 where horizontal coordinates can be transformed correctly. The
 disadvantage is that many software packages do not support
 implementation variant 1. Implementation variant 2 is supported by more
 software but can only be used within the bounds of the correction grid.
 The difference in the resulting coordinates between the two variants is
 well below 0.0010 m within the bounds of the RDNAPTRANS™2008 grids.
 Although transformation at sea and even outside the grid bounds is
 possible, the scale factor of the map projection increases rapidly and
 also the precision of transformation back and forth deteriorates. There
 are bounds to the recommended use of RD and NAP at sea and outside the
 Netherlands.

Package: r8168-dkms
Description-md5: eaa28982dd31d75e907229d8fbe767db
Description-en: dkms source for the r8168 network driver
 r8168 is the Linux device driver released by RealTek for their network
 controllers with PCI-Express interface:
  * 10/100/1000M Gigabit Ethernet: RTL8111B, RTL8111C, RTL8111D, RTL8111E,
    RTL8111F, RTL8111G(S), RTL8111H(S), RTL8118(A)(S), RTL8119i, RTL8111L,
    RTL8168B, RTL8168E, RTL8168H, RTL8111DP, RTL8111EP, RTL8111FP, RTL8411,
    RTL8411B
 .
 This driver should only be used for devices not yet supported by the
 in-kernel driver r8169. Please see the README.Debian for instructions how
 to report bugs against r8169 that made it necessary to use r8168-dkms.
 .
 Installation of the r8168-dkms package will disable the in-kernel r8169
 module. To re-enable r8169, the r8168-dkms package must be purged.
 .
 This package provides the dkms source code for the r8168 kernel modules.
 Kernel source or headers are required to compile these modules.

Package: raspi-firmware
Description-md5: 1d52938bf8f18e15a1948e9778a9e310
Description-en: Raspberry Pi family GPU firmware and bootloaders
 This package contains all the proprietary files necessary to boot a
 Raspberry Pi board. This should work with all models in the 0, 1, 2, 3 and
 4 families.
 .
 Raspberry Pi is a trademark of the Raspberry Pi Foundation.

Package: raspi3-firmware
Description-md5: bfe8ebc058cce6653c20fea6f85a4246
Description-en: transitional package
 This is a transitional package. It can safely be removed.

Package: ugene
Description-md5: 9a10717d68a69dfaff1354fa2282b503
Description-en: integrated bioinformatics toolkit
 Unipro UGENE is a cross-platform visual environment for DNA and protein
 sequence analysis. UGENE integrates the most important bioinformatics
 computational algorithms and provides an easy-to-use GUI for performing
 complex analysis of the genomic data. One of the main features of UGENE
 is a designer for custom bioinformatics workflows.

Package: ugene-data
Description-md5: a0c0756b3f7b317ece195fedee3dde50
Description-en: required data for UGENE - integrated bioinformatics toolkit
 Unipro UGENE is a cross-platform visual environment for DNA and protein
 sequence analysis.
 .
 This package contains various data and example files for UGENE.

