UniqAI/nvidia-container-toolkit
1
0
Fork 0
mirror of https://github.com/NVIDIA/nvidia-container-toolkit synced 2024-11-22 08:18:32 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity
1,464 Commits 20 Branches 73 Tags 28 MiB
Go 87%
Shell 7.1%
C 3.8%
Makefile 1.7%
Dockerfile 0.3%
Other 0.1%
33cb1b68df
Go to file
Christopher Desiniotis 33cb1b68df Merge branch 'deduplicate-symlinks' into 'main' 
Deduplicate symlinks

See merge request nvidia/container-toolkit/container-toolkit!493
2023-11-17 17:09:18 +00:00
.github/workflows
build/container Set NVIDIA_VISIBLE_DEVICES=void in toolkit-container 2023-08-15 11:52:56 +02:00
cmd Use github.com/NVIDIA/go-nvlib imports 2023-11-15 21:38:26 +01:00
docker Ensure git works in container 2023-10-31 15:25:41 +01:00
internal Allow multiple pattern matches for symlinks 2023-11-17 10:43:52 +01:00
packaging
pkg Use github.com/NVIDIA/go-nvlib imports 2023-11-15 21:38:26 +01:00
scripts
test
third_party Update libnvidia-container 2023-09-07 15:55:06 +00:00
tools/container Use tags.cncf.io for CDI imports 2023-11-01 12:40:51 +01:00
vendor Update vendoring 2023-11-15 21:38:54 +01:00
.common-ci.yml
.dockerignore
.gitignore
.gitlab-ci.yml Replace check targets with golangci-lint 2023-10-24 20:00:24 +02:00
.gitmodules
.golangci.yml Use .golangci config for toml.Delete issues 2023-10-24 20:00:24 +02:00
.nvidia-ci.yml
CHANGELOG.md Bump version to v1.14.3 2023-10-19 13:20:23 +02:00
CONTRIBUTING.md
DEVELOPMENT.md
go.mod Update vendoring 2023-11-15 21:38:54 +01:00
go.sum Update vendoring 2023-11-15 21:38:54 +01:00
Jenkinsfile
LICENSE
Makefile Ensure git works in container 2023-10-31 15:25:41 +01:00
README.md
versions.mk Bump CUDA base image version to 12.2.2 2023-10-19 10:47:13 +02:00

README.md

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!