Go to file
Evan Lezar 05632c0a40 Treat missing nvidia device majors as an error
Signed-off-by: Evan Lezar <elezar@nvidia.com>
2023-05-26 10:24:36 +02:00
.github/workflows
build/container
cmd Add symlinks package with Resolve function 2023-05-23 20:42:17 +02:00
docker Add centos7-aarch64 targets 2023-05-24 15:32:09 +02:00
internal Treat missing nvidia device majors as an error 2023-05-26 10:24:36 +02:00
packaging
pkg Merge branch 'CNT-1876/cdi-specs-from-csv' into 'main' 2023-05-23 14:47:19 +00:00
scripts Add centos7-aarch64 targets 2023-05-24 15:32:09 +02:00
test
third_party Update libnvidia-container 2023-05-24 15:32:34 +02:00
tools/container
vendor
.common-ci.yml
.dockerignore
.gitignore Update gitignore 2023-02-13 16:09:45 +01:00
.gitlab-ci.yml Add centos7-aarch64 CI jobs 2023-05-24 16:48:14 +02:00
.gitmodules
.nvidia-ci.yml
CHANGELOG.md
CONTRIBUTING.md
DEVELOPMENT.md
go.mod
go.sum
Jenkinsfile
LICENSE
Makefile
oci-nvidia-hook
oci-nvidia-hook.json
README.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!