​
DirectorySecurity Advisories
Sign In
Directory
nvidia-gpu-driver logo

nvidia-gpu-driver

Last changed

Get Started with Latest for Free
docker pull cgr.dev/chainguard/nvidia-gpu-driver

Need access to a specific version? Contact us.

Sign In for Updates

Get notified of upcoming product changes, critical vulnerability notifications and patches and more.

Sign In
Versions
Overview
Provenance
Specifications
SBOM
Vulnerabilities
Advisories

Chainguard Image for nvidia-gpu-driver

Tools necessary for GPU and feature discovery for NVIDIA GPU driver container that allows the provisioning of the NVIDIA driver through the use of containers.

Chainguard Images are regularly-updated, minimal container images with low-to-zero CVEs.

Download this Image

This image is available on cgr.dev:

docker pull cgr.dev/ORGANIZATION/nvidia-gpu-driver:latest

Be sure to replace the ORGANIZATION placeholder with the name used for your organization's private repository within the Chainguard registry.

Important Considerations

This image provides tools necessary for GPU and feature discovery, but it does not include the functionality to compile drivers directly within the container. It is important to understand that running the initialization scripts to configure the driver as provided will not be feasible without a host node and a Helm chart that correctly mounts all the required volumes from the host into the container.

  1. Host Node and Helm Chart Requirements:
    • To use this image effectively, you need a host node with the appropriate hardware and drivers already installed.
    • A Helm chart is required to mount all the expected volumes from the host into the container. This includes device files, driver files, and other necessary resources.
  2. Initialization Scripts:
    • The initialization scripts included in this image are meant for configuration purposes only. They cannot compile drivers within the container.
    • Ensure that the host node is properly configured before attempting to use these scripts.
  3. Volume Mounts:
    • Proper volume mounts are crucial for the functionality of the tools provided in this image.
    • The Helm chart must define the necessary volume mounts to pass through GPU device files, configuration files, and other dependencies from the host node into the container.

Usage

  1. Container Entry Point:

    • The entry point is set to sleep infinity, which keeps the container running indefinitely. This allows for interactive configuration and troubleshooting.
    • Example command to run the container:
      docker run -d --name test-nvidia cgr.dev/chainguard/nvidia-gpu-driver:latest
  2. Interacting with the Container:

    • Once the container is running, you can exec into the container to run the provided GPU and feature discovery tools.
    • Example command to exec into the container:
      docker exec -it test-nvidia /bin/bash

Contact Support

If you have a Zendesk account (typically set up for you by your Customer Success Manager) you can reach out to Chainguard's Customer Success team through our Zendesk portal.

What are Chainguard Images?

Chainguard Images are a collection of container images designed for security and minimalism.

Many Chainguard Images are distroless; they contain only an open-source application and its runtime dependencies. These images do not even contain a shell or package manager. Chainguard Images are built with Wolfi, our Linux undistro designed to produce container images that meet the requirements of a secure software supply chain.

The main features of Chainguard Images include:

-dev Variants

As mentioned previously, Chainguard’s distroless Images have no shell or package manager by default. This is great for security, but sometimes you need these things, especially in builder images. For those cases, most (but not all) Chainguard Images come paired with a -dev variant which does include a shell and package manager.

Although the -dev image variants have similar security features as their distroless versions, such as complete SBOMs and signatures, they feature additional software that is typically not necessary in production environments. The general recommendation is to use the -dev variants only to build the application and then copy all application artifacts into a distroless image, which will result in a final container image that has a minimal attack surface and won’t allow package installations or logins.

That being said, it’s worth noting that -dev variants of Chainguard Images are completely fine to run in production environments. After all, the -dev variants are still more secure than many popular container images based on fully-featured operating systems such as Debian and Ubuntu since they carry less software, follow a more frequent patch cadence, and offer attestations for what they include.

Learn More

To better understand how to work with Chainguard Images, we encourage you to visit Chainguard Academy, our documentation and education platform.

Licenses

Chainguard Images contain software packages that are direct or transitive dependencies. The following licenses were found in the "latest" version of this image:

  • ( GPL-2.0-or-later

  • Apache-2.0

  • BSD-2-Clause

  • BSD-3-Clause

  • GCC-exception-3.1

  • GPL-2.0-only

  • GPL-2.0-or-later

For a complete list of licenses, please refer to this Image's SBOM.

Software license agreement

Category
AI
ai-gpu
application

Safe Source for Open Sourceâ„¢
Media KitContact Us
© 2024 Chainguard. All Rights Reserved.
Private PolicyTerms of Use

Chainguard Images