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Evan Lezar 2d07385e81 Pull public staging images to scan and release 
This change pulls images from public staging repositories to scan
and release. This ensures that the bits built and tested in public
CI (off the master branch, for example) match those scanned and
released. This also serves to reduce the load on our internal CI
runners as these don't have to store artifacts and build images.

Two CI variables: STAGING_REGISTRY and STAGING_VERSION are used
to control which image is pulled for release, with the latter
defaulting to the CI_COMMIT_SHORT_SHA.

Signed-off-by: Evan Lezar <elezar@nvidia.com>
2021-12-02 17:31:07 +01:00
build/container Address review comments 2021-12-01 18:45:30 +01:00
cmd Add nvidia-container-config option to overide drivercapabilities 2021-11-17 16:53:08 +01:00
config Add jetpack-specific config.toml 2021-11-17 16:53:08 +01:00
docker Add jetpack-specific config.toml 2021-11-17 16:53:08 +01:00
internal/oci Fix logging to stderr instead of file logger 2021-11-16 21:37:50 +01:00
packaging Bump version to 1.7.0 2021-11-30 14:27:17 +01:00
scripts Address review comments 2021-12-01 18:45:30 +01:00
test Don't rebuild packages for every local run 2021-11-25 14:00:21 +01:00
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tools/container Specify containerd runtime type as string 2021-11-24 15:42:37 +01:00
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.common-ci.yml Pull public staging images to scan and release 2021-12-02 17:31:07 +01:00
.dockerignore Add dockerfile and makefile to build toolkit-container 2021-10-22 11:57:55 +02:00
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README.md Apply edits for the NVIDIA container toolkit 2021-09-22 16:49:58 +02:00
versions.mk Bump version to 1.7.0 2021-11-30 14:27:17 +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!