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Jared Baur 5788e622f4 Use XDG_DATA_DIRS instead of hardcoding /usr/share 
When running nvidia-ctk on a system that uses a custom XDG_DATA_DIRS
environment variable value, the configuration files for `glvnd`,
`vulkan`, and `egl` fail to get passed through from the host to the
container. Reading from XDG_DATA_DIRS instead of hardcoding the default
value allows for finding said files so they can be mounted in the
container.

Signed-off-by: Jared Baur <jaredbaur@fastmail.com>
Signed-off-by: Evan Lezar <elezar@nvidia.com>
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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!