Go to file
Evan Lezar 5a70e75547 Use stable/rpm repo for release tests
Signed-off-by: Evan Lezar <elezar@nvidia.com>
2024-01-30 12:40:57 +01:00
.github Add github actions 2024-01-29 14:32:02 +01:00
build/container Remove unused centos8 jobs 2024-01-30 12:40:16 +01:00
cmd Fix bug in update-ldcache hook 2024-01-29 15:20:21 +01:00
docker
internal
packaging
pkg
scripts
test Use stable/rpm repo for release tests 2024-01-30 12:40:57 +01:00
third_party
tools/container
vendor
.common-ci.yml Drop go checks from gitlab ci 2024-01-28 18:23:20 +01:00
.dockerignore
.gitignore
.gitlab-ci.yml Remove unused centos8 jobs 2024-01-30 12:40:16 +01:00
.gitmodules
.golangci.yml
.nvidia-ci.yml
CHANGELOG.md Bump version to v1.15.0-rc.3 2024-01-30 11:18:17 +01:00
CONTRIBUTING.md
DEVELOPMENT.md Remove unused centos8 jobs 2024-01-30 12:40:16 +01:00
go.mod
go.sum
Jenkinsfile
LICENSE
Makefile
README.md
versions.mk Bump version to v1.15.0-rc.3 2024-01-30 11:18:17 +01:00

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!