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Evan Lezar 35df24d63a Make handling of nvidia-ctk path consistent 
This change adds an --nvidia-ctk-path to the nvidia-ctk cdi generate
command. This ensures that the executable path for the generated
hooks can be specified consistently.

Since the NVIDIA Container Runtime already allows for the executable
path to be specified in the config the utility code to update the
LDCache and create other nvidia-ctk hooks are also updated.

Signed-off-by: Evan Lezar <elezar@nvidia.com>
2023-01-18 17:02:42 +01:00
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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!