An X driver (/usr/lib/xorg/modules/drivers/nvidia_drv.so); this driver is needed by the X server to use your NVIDIA hardware.

A GLX extension module for X (/usr/lib/xorg/modules/extensions/libglxserver_nvidia.so.550.163.01); this module is used by the X server to provide server-side GLX support.

EGL and OpenGL ES libraries ( /usr/lib/libEGL.so.1, /usr/lib/libGLESv1_CM.so.550.163.01, and /usr/lib/libGLESv2.so.550.163.01 ); these libraries provide the API entry points for all OpenGL ES and EGL function calls. They are loaded at run-time by applications.

A Wayland EGL external platform library (/usr/lib/libnvidia-egl-wayland.so.1) and its corresponding configuration file ( /usr/share/egl/egl_external_platform.d/10_nvidia_wayland.json ); this library provides client-side Wayland EGL application support using either dmabuf or EGLStream buffer sharing protocols, as well as server-side protocol extensions enabling the client-side EGLStream-based buffer sharing path. The EGLStream path can only be used in combination with an EGLStream-enabled Wayland compositor, e.g: https://gitlab.freedesktop.org/ekurzinger/weston.

More information can be found along with the EGL external interface and Wayland library source code at https://github.com/NVIDIA/eglexternalplatform and https://github.com/NVIDIA/egl-wayland.

A GBM EGL external platform library (/usr/lib/libnvidia-egl-gbm.so.1) and its corresponding configuration file ( /usr/share/egl/egl_external_platform.d/15_nvidia_gbm.json ); this library provides GBM EGL application support.

The source code for the GBM EGL external platform library can be found at https://github.com/NVIDIA/egl-gbm. See Chapter 40, GBM and GBM-based Wayland Compositors for more details on GBM support in the NVIDIA driver.

Vendor neutral graphics libraries provided by libglvnd (/usr/lib/libOpenGL.so.0, /usr/lib/libGLX.so.0, and /usr/lib/libGLdispatch.so.0); these libraries are currently used to provide full OpenGL dispatching support to NVIDIA's implementation of EGL.

Source code for libglvnd is available at https://github.com/NVIDIA/libglvnd

GLVND vendor implementation libraries for GLX (/usr/lib/libGLX_nvidia.so.0) and EGL (/usr/lib/libEGL_nvidia.so.0); these libraries provide NVIDIA implementations of OpenGL functionality which may be accessed using the GLVND client-facing libraries.

libGLX_nvidia.so.0 and libEGL_nvidia.so.0 can be used as Vulkan ICDs. The Vulkan ICD configuration file included with the driver references libGLX_nvidia.so.0, however in environments where X11 client libraries are not available, libEGL_nvidia.so.0 should be used.

The Vulkan ICD configuration file is installed as /etc/vulkan/icd.d/nvidia_icd.json.

An additional Vulkan layer configuration file is installed as /etc/vulkan/implicit_layer.d/nvidia_layers.json. These layers add functionality to the Vulkan loader.

A GLVND GLX client ICD loader library (/usr/lib/libGL.so.1), This library provides API entry points for all GLX function calls, and is loaded at run-time by applications.

This library is included as a convenience to support systems that do not already have an existing libglvnd installation. On systems with libglvnd libraries already installed, the existing libraries should be used instead.

Various libraries that are used internally by other driver components. These include /usr/lib/libnvidia-cfg.so.550.163.01, /usr/lib/libnvidia-eglcore.so.550.163.01, /usr/lib/libnvidia-glcore.so.550.163.01, /usr/lib/libnvidia-glsi.so.550.163.01, /usr/lib/libnvidia-glvkspirv.so.550.163.01, /usr/lib/libnvidia-gpucomp.so.550.163.01, /usr/lib/libnvidia-rtcore.so.550.163.01, and /usr/lib/libnvidia-allocator.so.550.163.01.

A VDPAU (Video Decode and Presentation API for Unix-like systems) library for the NVIDIA vendor implementation, (/usr/lib/vdpau/libvdpau_nvidia.so.550.163.01); see Appendix G, VDPAU Support for details.

The CUDA library (/usr/lib/libcuda.so.550.163.01) which provides runtime support for CUDA (high-performance computing on the GPU) applications.

The CUDA Debugger library (/usr/lib/libcudadebugger.so.550.163.01) which provides support for debugging CUDA applications.

Cryptography library wrappers, (/usr/lib/libnvidia-pkcs11.so.550.163.01) and (/usr/lib/libnvidia-pkcs11.openssl3.so.550.163.01), which dynamically link to the system's OpenSSL libraries and provide cryptography operations when the GPU and driver are operating in Confidential Compute mode. The driver attempts to use OpenSSL 3 first and if OpenSSL 3 is not available then it will attempt to use OpenSSL 1.1.

The PTX JIT Compiler library (/usr/lib/libnvidia-ptxjitcompiler.so.550.163.01) is a JIT compiler which compiles PTX into GPU machine code and is used by the CUDA driver.

The NVVM Compiler library (/usr/lib/libnvidia-nvvm.so.4.0.0) is loaded by the CUDA driver to do JIT link-time-optimization.

Two OpenCL libraries (/usr/lib/libOpenCL.so.1.0.0, /usr/lib/libnvidia-opencl.so.550.163.01); the former is a vendor-independent Installable Client Driver (ICD) loader, and the latter is the NVIDIA Vendor ICD. A config file /etc/OpenCL/vendors/nvidia.icd is also installed, to advertise the NVIDIA Vendor ICD to the ICD Loader.

The nvidia-cuda-mps-control and nvidia-cuda-mps-server applications, which allow MPI processes to run concurrently on a single GPU.

A kernel module (/lib/modules/`uname -r`/kernel/drivers/video/nvidia-modeset.ko); this kernel module is responsible for programming the display engine of the GPU. User-mode NVIDIA driver components such as the NVIDIA X driver, OpenGL driver, and VDPAU driver communicate with nvidia-modeset.ko through the /dev/nvidia-modeset device file.

A kernel module (/lib/modules/`uname -r`/kernel/drivers/video/nvidia.ko); this kernel module provides low-level access to your NVIDIA hardware for all of the above components. It is generally loaded into the kernel when the X server is started, and is used by the X driver and OpenGL. nvidia.ko consists of two pieces: the binary-only core, and a kernel interface that must be compiled specifically for your kernel version. Note that the Linux kernel does not have a consistent binary interface like the X server, so it is important that this kernel interface be matched with the version of the kernel that you are using. This can either be accomplished by compiling yourself, or using precompiled binaries provided for the kernels shipped with some of the more common Linux distributions.

NVIDIA Unified Memory kernel module (/lib/modules/`uname -r`/kernel/drivers/video/nvidia-uvm.ko); this kernel module provides functionality for sharing memory between the CPU and GPU in CUDA programs. It is generally loaded into the kernel when a CUDA program is started, and is used by the CUDA driver on supported platforms.

The nvidia-tls library (/usr/lib/libnvidia-tls.so.550.163.01); this file provides thread local storage support for the NVIDIA OpenGL libraries (libGLX_nvidia, libnvidia-glcore, and libglxserver_nvidia).

The nvidia-ml library (/usr/lib/libnvidia-ml.so.550.163.01); The NVIDIA Management Library provides a monitoring and management API. See Chapter 28, The NVIDIA Management Library for more information.

The application nvidia-installer (/usr/bin/nvidia-installer) is NVIDIA's tool for installing and updating NVIDIA drivers. See Chapter 4, Installing the NVIDIA Driver for a more thorough description.

Source code is available at https://download.nvidia.com/XFree86/nvidia-installer/.

The application nvidia-modprobe (/usr/bin/nvidia-modprobe) is installed as setuid root and is used to load the NVIDIA kernel module, create the /dev/nvidia* device nodes and configure certain runtime settings in the kernel by processes (such as CUDA applications) that don't run with sufficient privileges to do those things themselves.

Source code is available at https://download.nvidia.com/XFree86/nvidia-modprobe/.

The application nvidia-xconfig (/usr/bin/nvidia-xconfig) is NVIDIA's tool for manipulating X server configuration files. See Chapter 6, Configuring X for the NVIDIA Driver for more information.

Source code is available at https://download.nvidia.com/XFree86/nvidia-xconfig/.

The application nvidia-settings (/usr/bin/nvidia-settings) is NVIDIA's tool for dynamic configuration while the X server is running. See Chapter 25, Using the nvidia-settings Utility for more information.

The libnvidia-gtk libraries (/usr/lib/libnvidia-gtk2.so.550.163.01 and /usr/lib/libnvidia-gtk3.so.550.163.01); these libraries are required to provide the nvidia-settings user interface.

Source code is available at https://download.nvidia.com/XFree86/nvidia-settings/.

The application nvidia-smi (/usr/bin/nvidia-smi) is the NVIDIA System Management Interface for management and monitoring functionality. See Chapter 27, Using the nvidia-smi Utility for more information.

The application nvidia-debugdump (/usr/bin/nvidia-debugdump) is NVIDIA's tool for collecting internal GPU state. It is normally invoked by the nvidia-bug-report.sh (/usr/bin/nvidia-bug-report.sh) script. See Chapter 29, Using the nvidia-debugdump Utility for more information.

The daemon nvidia-persistenced (/usr/bin/nvidia-persistenced) is the NVIDIA Persistence Daemon for allowing the NVIDIA kernel module to maintain persistent state when no other NVIDIA driver components are running. See Chapter 30, Using the nvidia-persistenced Utility for more information.

Source code is available at https://download.nvidia.com/XFree86/nvidia-persistenced/.

The NVCUVID library (/usr/lib/libnvcuvid.so.550.163.01); The NVIDIA CUDA Video Decoder (NVCUVID) library provides an interface to hardware video decoding capabilities on NVIDIA GPUs with CUDA.

The NvEncodeAPI library (/usr/lib/libnvidia-encode.so.550.163.01); The NVENC Video Encoding library provides an interface to video encoder hardware on supported NVIDIA GPUs.

The NVAPI library (/usr/lib/libnvidia-api.so.1;); NVAPI provides an interface for managing properties of GPUs. The NVAPI library provides runtime support for NVAPI applications.

The NvFBC library (/usr/lib/libnvidia-fbc.so.550.163.01); The NVIDIA Framebuffer Capture library provides an interface to capture and optionally encode the framebuffer of an X server