nvidia-graphics-drivers-418-server 418.152.00-0ubuntu0.18.04.1 source package in Ubuntu

 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.

 This package provides a set of files that are required by the NVIDIA
 libraries.

 This package provides a set of libraries which enable the NVIDIA Server Driver
 to use GPUs for parallel general purpose computation through CUDA and
 OpenCL.

 This package includes the NVIDIA CUDA Video Decoder (NVCUVID) library which
 provides an interface to hardware video decoding capabilities on NVIDIA GPUs with CUDA.
 .
 The package also provides a VDPAU (Video Decode and Presentation API for Unix-like
 systems) library for the NVIDIA vendor implementation.

 The NVENC Video Encoding library provides an interface to video encoder
 hardware on supported NVIDIA GPUs.
 .
 This package contains the nvidia-encode 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.

 This package provides the NVIDIA OpenGL/GLX/EGL/GLES libraries and the
 Vulkan ICD.

 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.

 This package provides utility binaries for paraller general purpose
 computing use cases with the NVIDIA Server Driver.
 .
 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.

 This package builds the NVIDIA kernel module needed by the userspace
 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.

 This metapackage depends on the NVIDIA binary driver and on all of its libraries,
 to provide hardware acceleration for OpenGL/GLX/EGL/GLES/Vulkan
 applications on either X11 or on Wayland.
 .
 See /usr/share/doc/nvidia-driver-418-server/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.

 This metapackage installs the NVIDIA Server Driver and the libraries that enable
 parallel general purpose computation through CUDA and
 OpenCL.
 .
 Install this package if you do not need X11 or Wayland support, which is
 provided by the nvidia-driver-418-server metapackage.

 This metapackage installs the NVIDIA Server Driver and the libraries that enable
 parallel general purpose computation through CUDA and
 OpenCL. DKMS will not be installed, and, therefore, the kernel module
 will not be built.
 .
 Install this package if you do not need X11 or Wayland support, which is
 provided by the nvidia-driver-418-server metapackage.

 This package installs all the optional accessory files for the NVIDIA
 kernel module.
 .
 Install this package if you want to blacklist any conflicting kernel
 modules, and if you want udev to load the the NVIDIA kernel modules,
 and to create the uvm devices automatically.

 This package provides the NVIDIA kernel source needed by the userspace
 driver.

 This package contains supporting binaries for the NVIDIA Server 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.
 .
 See /usr/share/doc/nvidia-driver-418-server/README.txt.gz
 for a complete list of supported GPUs and PCI IDs.