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Add nvidia-cdi-refresh service 
Automatic regeneration of /var/run/cdi/nvidia.yaml
New units:
	•	nvidia-cdi-refresh.service – one-shot wrapper for
			nvidia-ctk cdi generate (adds sleep + required caps).
	•	nvidia-cdi-refresh.path   – fires on driver install/upgrade via
			modules.dep.bin changes.
	•	60-nvidia-cdi-refresh.rules – udev triggers for module add/remove, PCI
			bind/unbind/change, and MIG /dev/nvidia-caps* char-device events.
Packaging
	•	RPM %post reloads udev/systemd and enables the path unit on fresh
			installs.
	•	DEB postinst does the same (configure, skip on upgrade).

Result: CDI spec is always up to date

Signed-off-by: Carlos Eduardo Arango Gutierrez <eduardoa@nvidia.com>
2025-05-12 18:57:18 +02:00
.github Merge pull request #1063 from NVIDIA/dependabot/github_actions/main/slackapi/slack-github-action-2.1.0 2025-05-07 17:19:08 +02:00
cmd bump runc go dep to v1.3.0 2025-04-29 19:01:38 -07:00
deployments Add nvidia-cdi-refresh service 2025-05-12 18:57:18 +02:00
docker Add nvidia-cdi-refresh service 2025-05-12 18:57:18 +02:00
hack [no-relnote] Fix typo in script 2024-10-16 10:53:45 +02:00
internal Merge pull request #1046 from elezar/resolve-ldcache-libs-on-arm64 2025-05-09 15:04:00 +02:00
packaging Add nvidia-cdi-refresh service 2025-05-12 18:57:18 +02:00
pkg Allow container runtime executable path to be specified 2025-04-07 17:28:11 +02:00
scripts [no-relnote] Use centos:stream9 for signing container 2025-03-12 12:44:35 +02:00
testdata Add imex mode to CDI spec generation 2024-11-25 13:46:43 +01:00
tests Bump golang.org/x/crypto from 0.37.0 to 0.38.0 in /tests 2025-05-06 08:42:33 +00:00
third_party Bump third_party/libnvidia-container from 95d3e86 to a198166 2025-04-18 08:16:29 +00:00
vendor Bump golang.org/x/sys from 0.32.0 to 0.33.0 2025-05-06 09:31:22 +00:00
.common-ci.yml Updated .release:staging to stage images in nvstaging 2025-04-17 14:02:33 +02:00
.dockerignore Add dockerfile and makefile to build toolkit-container 2021-10-22 11:57:55 +02:00
.gitignore Rename test folder to tests 2025-01-23 11:46:14 +01:00
.gitlab-ci.yml [no-relnote] Add toolkit install unit test 2024-11-05 14:23:35 -08:00
.gitmodules Update libnvidia-container to github ref 2024-02-01 16:36:10 +01:00
.golangci.yml [no-relnote] Migrate golangci-lint config to v2 2025-04-02 14:18:32 +02:00
.nvidia-ci.yml add ngc image signing job for auto signing 2024-06-12 13:20:35 +05:30
CHANGELOG.md Bump version for v1.17.4 release 2025-02-10 13:24:41 +01:00
CONTRIBUTING.md Ensure LICENSE and CONTRIBUTING.md files are present 2019-10-31 12:56:46 -07:00
DEVELOPMENT.md Rename test folder to tests 2025-01-23 11:46:14 +01:00
go.mod Bump golang.org/x/sys from 0.32.0 to 0.33.0 2025-05-06 09:31:22 +00:00
go.sum Bump golang.org/x/sys from 0.32.0 to 0.33.0 2025-05-06 09:31:22 +00:00
LICENSE Ensure LICENSE and CONTRIBUTING.md files are present 2019-10-31 12:56:46 -07:00
Makefile [no-relnote] Use --exit-code instead of --quiet for mod check 2025-03-06 11:33:48 +02:00
README.md Change master references to main 2022-04-12 14:52:38 +02:00
RELEASE.md [no-relnote] Add RELEASE.md 2024-07-15 14:25:12 +02:00
versions.mk Bump version for v1.17.4 release 2025-02-10 13:24:27 +01:00

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!