Go to file
Evan Lezar d1286bceed
Merge pull request #763 from elezar/allow-config-override-by-envvar
Add support for specifying the config file path in an environment variable
2025-06-24 19:54:36 +02:00
.github [no-relnote] Don't refer to target image distribution 2025-06-18 14:32:54 +02:00
cmd Merge pull request #763 from elezar/allow-config-override-by-envvar 2025-06-24 19:54:36 +02:00
deployments Create /work/nvidia-toolkit symlink 2025-06-19 10:23:09 +02:00
docker
hack [no-relnote] Update release scripts for distroless 2025-06-19 10:20:59 +02:00
internal Merge pull request #763 from elezar/allow-config-override-by-envvar 2025-06-24 19:54:36 +02:00
packaging
pkg Add envvar for libcuda.so parent dir to CDI spec 2025-06-24 13:24:50 +02:00
scripts [no-relnote] Update release scripts for distroless 2025-06-19 10:20:59 +02:00
testdata
tests [no-relnote] Fix tests for compat mode 2025-06-18 15:22:08 +02:00
third_party
vendor
.common-ci.yml
.dockerignore
.gitignore
.gitmodules
.golangci.yml
.nvidia-ci.yml
CHANGELOG.md
CONTRIBUTING.md
DEVELOPMENT.md
go.mod
go.sum
LICENSE
Makefile [no-relnote] Enable Coveralls 2025-05-23 13:53:45 +02:00
README.md
RELEASE.md
SECURITY.md
versions.mk

NVIDIA Container Toolkit

GitHub license Documentation Package repository

nvidia-container-stack

Introduction

The NVIDIA Container Toolkit allows users to build and run GPU accelerated containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs.

Product documentation including an architecture overview, platform support, and installation and usage guides can be found in the documentation repository.

Getting Started

Make sure you have installed the NVIDIA driver for your Linux Distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed

For instructions on getting started with the NVIDIA Container Toolkit, refer to the installation guide.

Usage

The user guide provides information on the configuration and command line options available when running GPU containers with Docker.

Issues and Contributing

Checkout the Contributing document!