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Evan Lezar 963250a58f Refactor CSV discovery for testability 
This change improves the testibility of the CSV discoverer.
This is done by adding injection points for mocks for library discovery and
symlink resolution.

Note that this highlights a bug in the current implementation where the
library filter causes valid symlinks to be skipped.

Signed-off-by: Evan Lezar <elezar@nvidia.com>
2023-09-22 22:02:30 +02:00
.github/workflows Merge branch 'rorajani-rename-ci' into 'main' 2023-05-30 11:41:33 +00:00
build/container Set NVIDIA_VISIBLE_DEVICES=void in toolkit-container 2023-08-15 11:52:56 +02:00
cmd Add required option to new toml config 2023-09-07 11:56:01 +02:00
docker Remove installation of oci-nvidia-hook files in RPM packages 2023-08-11 16:34:58 +02:00
internal Refactor CSV discovery for testability 2023-09-22 22:02:30 +02:00
packaging Extend nvidia-ctk config command to allow options to be set 2023-08-14 11:33:26 +02:00
pkg Add support for creating oci hook to nvidia-ctk 2023-08-11 16:34:58 +02:00
scripts Publish generic deb and rpm repos. 2023-08-09 17:54:41 +02:00
test Remove NVIDIA experimental runtime from toolkit container 2023-07-10 11:44:55 +02:00
third_party Update libnvidia-container 2023-09-07 15:55:06 +00:00
tools/container Add support for creating oci hook to nvidia-ctk 2023-08-11 16:34:58 +02:00
vendor Update go-nvlib dependency to v0.0.0-20230818092907-09424fdc8884 2023-08-18 11:40:15 +02:00
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CHANGELOG.md Bump version to 1.14.2 2023-09-22 22:02:28 +02:00
CONTRIBUTING.md
DEVELOPMENT.md Add scripting to sign and publish packages 2022-04-13 12:14:51 +02:00
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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!