NVIDIA Linux Open GPU Kernel Module Source

This is the source release of the NVIDIA Linux open GPU kernel modules, version 565.77.

How to Build

To build:

make modules -j$(nproc)

To install, first uninstall any existing NVIDIA kernel modules. Then, as root:

make modules_install -j$(nproc)

Note that the kernel modules built here must be used with GSP firmware and user-space NVIDIA GPU driver components from a corresponding 565.77 driver release. This can be achieved by installing the NVIDIA GPU driver from the .run file using the --no-kernel-modules option. E.g.,

sh ./NVIDIA-Linux-[...].run --no-kernel-modules

Supported Target CPU Architectures

Currently, the kernel modules can be built for x86_64 or aarch64. If cross-compiling, set these variables on the make command line:

TARGET_ARCH=aarch64|x86_64
CC
LD
AR
CXX
OBJCOPY

E.g.,

# compile on x86_64 for aarch64
make modules -j$(nproc)         \
    TARGET_ARCH=aarch64         \
    CC=aarch64-linux-gnu-gcc    \
    LD=aarch64-linux-gnu-ld     \
    AR=aarch64-linux-gnu-ar     \
    CXX=aarch64-linux-gnu-g++   \
    OBJCOPY=aarch64-linux-gnu-objcopy

Other Build Knobs

NV_VERBOSE - Set this to "1" to print each complete command executed; otherwise, a succinct "CC" line is printed.

DEBUG - Set this to "1" to build the kernel modules as debug. By default, the build compiles without debugging information. This also enables various debug log messages in the kernel modules.

These variables can be set on the make command line. E.g.,

make modules -j$(nproc) NV_VERBOSE=1

Supported Toolchains

Any reasonably modern version of GCC or Clang can be used to build the kernel modules. Note that the kernel interface layers of the kernel modules must be built with the toolchain that was used to build the kernel.

Supported Linux Kernel Versions

The NVIDIA open kernel modules support the same range of Linux kernel versions that are supported with the proprietary NVIDIA kernel modules. This is currently Linux kernel 4.15 or newer.

How to Contribute

Contributions can be made by creating a pull request on https://github.com/NVIDIA/open-gpu-kernel-modules We'll respond via GitHub.

Note that when submitting a pull request, you will be prompted to accept a Contributor License Agreement.

This code base is shared with NVIDIA's proprietary drivers, and various processing is performed on the shared code to produce the source code that is published here. This has several implications for the foreseeable future:

• The GitHub repository will function mostly as a snapshot of each driver release.

• We do not expect to be able to provide revision history for individual changes that were made to NVIDIA's shared code base. There will likely only be one git commit per driver release.

• We may not be able to reflect individual contributions as separate git commits in the GitHub repository.

• Because the code undergoes various processing prior to publishing here, contributions made here require manual merging to be applied to the shared code base. Therefore, large refactoring changes made here may be difficult to merge and accept back into the shared code base. If you have large refactoring to suggest, please contact us in advance, so we can coordinate.

How to Report Issues

Problems specific to the Open GPU Kernel Modules can be reported in the Issues section of the https://github.com/NVIDIA/open-gpu-kernel-modules repository.

Further, any of the existing bug reporting venues can be used to communicate problems to NVIDIA, such as our forum:

https://forums.developer.nvidia.com/c/gpu-graphics/linux/148

or linux-bugs@nvidia.com.

Please see the 'NVIDIA Contact Info and Additional Resources' section of the NVIDIA GPU Driver README for details.

Please see the separate SECURITY.md document if you believe you have discovered a security vulnerability in this software.

Kernel Interface and OS-Agnostic Components of Kernel Modules

Most of NVIDIA's kernel modules are split into two components:

• An "OS-agnostic" component: this is the component of each kernel module that is independent of operating system.

• A "kernel interface layer": this is the component of each kernel module that is specific to the Linux kernel version and configuration.

When packaged in the NVIDIA .run installation package, the OS-agnostic component is provided as a binary: it is large and time-consuming to compile, so pre-built versions are provided so that the user does not have to compile it during every driver installation. For the nvidia.ko kernel module, this component is named "nv-kernel.o_binary". For the nvidia-modeset.ko kernel module, this component is named "nv-modeset-kernel.o_binary". Neither nvidia-drm.ko nor nvidia-uvm.ko have OS-agnostic components.

The kernel interface layer component for each kernel module must be built for the target kernel.

Directory Structure Layout

• kernel-open/ The kernel interface layer

• kernel-open/nvidia/ The kernel interface layer for nvidia.ko

• kernel-open/nvidia-drm/ The kernel interface layer for nvidia-drm.ko

• kernel-open/nvidia-modeset/ The kernel interface layer for nvidia-modeset.ko

• kernel-open/nvidia-uvm/ The kernel interface layer for nvidia-uvm.ko

• src/ The OS-agnostic code

• src/nvidia/ The OS-agnostic code for nvidia.ko

• src/nvidia-modeset/ The OS-agnostic code for nvidia-modeset.ko

• src/common/ Utility code used by one or more of nvidia.ko and nvidia-modeset.ko

• nouveau/ Tools for integration with the Nouveau device driver

Nouveau device driver integration

The Python script in the 'nouveau' directory is used to extract some of the firmware binary images (and related data) encoded in the source code and store them as distinct files. These files are used by the Nouveau device driver to load and communicate with the GSP firmware.

The layout of the binary files is described in nouveau_firmware_layout.ods, which is an OpenDocument Spreadsheet file, compatible with most spreadsheet software applications.

Compatible GPUs

The NVIDIA open kernel modules can be used on any Turing or later GPU (see the table below).

For details on feature support and limitations, see the NVIDIA GPU driver end user README here:

https://us.download.nvidia.com/XFree86/Linux-x86_64/565.77/README/kernel_open.html

For vGPU support, please refer to the README.vgpu packaged in the vGPU Host Package for more details.

In the below table, if three IDs are listed, the first is the PCI Device ID, the second is the PCI Subsystem Vendor ID, and the third is the PCI Subsystem Device ID.