Jared Baur 838493b8b9 Allow for customizing the path to ldconfig
Since the `createContainer` `runc` hook runs with the environment that
the container's config.json specifies, the path to `ldconfig` may not be
easily resolvable if the host environment differs enough from the
container (e.g. on a NixOS host where all binaries are under hashed
paths in /nix/store with an Ubuntu container whose PATH contains
FHS-style paths such as /bin and /usr/bin). This change allows for
specifying exactly where ldconfig comes from.

Signed-off-by: Jared Baur <jaredbaur@fastmail.com>
2024-01-17 21:07:00 -08:00
2023-10-31 15:25:41 +01:00
2023-05-10 13:10:10 +02:00
2023-02-13 16:09:45 +01:00
2023-07-17 16:28:31 +02:00
2021-05-18 11:25:52 +02:00
2022-04-12 14:52:38 +02:00
2024-01-11 10:35:54 +01:00

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!

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