Chainguard Container for gpu-feature-discovery

Minimal gpu-feature-discovery container image.

Chainguard Containers are regularly-updated, secure-by-default container images.

Download this Container Image

For those with access, this container image is available on cgr.dev:

docker pull cgr.dev/ORGANIZATION/gpu-feature-discovery:latest

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

Usage

NVIDIA GPU Feature Discovery for Kubernetes is a software component that allows you to automatically generate labels for the set of GPUs available on a node For more information, refer to the GFD documentation:

• GFD Github README

NAME:
   GPU Feature Discovery - generate labels for NVIDIA devices

USAGE:
   GPU Feature Discovery [global options] command [command options] [arguments...]

VERSION:
   0.8.2
commit: 47a1ea6862f69844c5364c98a77aa97fe9ea7b74

COMMANDS:
   help, h  Shows a list of commands or help for one command

GLOBAL OPTIONS:
   --mig-strategy value                           the desired strategy for exposing MIG devices on GPUs that support it:
                                                    [none | single | mixed] (default: "none") [$GFD_MIG_STRATEGY, $MIG_STRATEGY]
   --fail-on-init-error                           fail the plugin if an error is encountered during initialization, otherwise block indefinitely (default: true) [$GFD_FAIL_ON_INIT_ERROR, $FAIL_ON_INIT_ERROR]
   --oneshot                                      Label once and exit (default: false) [$GFD_ONESHOT]
   --no-timestamp                                 Do not add the timestamp to the labels (default: false) [$GFD_NO_TIMESTAMP]
   --sleep-interval value                         Time to sleep between labeling (default: 1m0s) [$GFD_SLEEP_INTERVAL]
   --output-file value, --output value, -o value  (default: "/etc/kubernetes/node-feature-discovery/features.d/gfd") [$GFD_OUTPUT_FILE]
   --machine-type-file value                      a path to a file that contains the DMI (SMBIOS) information for the node (default: "/sys/class/dmi/id/product_name") [$GFD_MACHINE_TYPE_FILE]
   --config-file value                            the path to a config file as an alternative to command line options or environment variables [$GFD_CONFIG_FILE, $CONFIG_FILE]
   --use-node-feature-api                         Use NFD NodeFeature API to publish labels (default: false) [$GFD_USE_NODE_FEATURE_API]
   --help, -h                                     show help
   --version, -v                                  print the version

Helm Installation for GPU Feature Discovery

Step 1: Add and Update Helm Repository Add the NVIDIA GFD Helm repository and update it to ensure you have access to the latest charts.

$ helm repo add nvgfd https://nvidia.github.io/gpu-feature-discovery
$ helm repo update

Step 2: Install GPU Feature Discovery Install GPU Feature Discovery using Helm with the specified version, namespace, and optional configuration settings.

This command deploys GPU Feature Discovery as a standalone chart in the gpu-feature-discovery namespace.

$ helm upgrade -i nvgfd nvgfd/gpu-feature-discovery \
  --version 0.8.2 \
  --namespace gpu-feature-discovery \
  --create-namespace

Step 3: Verify Installation Verify that the GPU Feature Discovery DaemonSet is running in the specified namespace.

$ kubectl get daemonset -n gpu-feature-discovery -l app.kubernetes.io/name=gpu-feature-discovery

For more information, refer to the documentation:

• Helm Installation Guide

What are Chainguard Containers?

Chainguard Containers are minimal container images that are secure by default.

In many cases, the Chainguard Containers tagged as :latest contain only an open-source application and its runtime dependencies. These minimal container images typically do not contain a shell or package manager. Chainguard Containers are built with Wolfi, our Linux undistro designed to produce container images that meet the requirements of a more secure software supply chain.

The main features of Chainguard Containers include:

• Minimal design, without unnecessary software bloat
• Daily builds to ensure container images are up-to-date with available security patches
• High quality build-time SBOMs attesting to the provenance of all artifacts within the image
• Verifiable signatures provided by Sigstore
• Reproducible builds with Cosign and apko (read more about reproducibility)

For cases where you need container images with shells and package managers to build or debug, most Chainguard Containers come paired with a -dev variant.

Although the -dev container image variants have similar security features as their more minimal versions, they feature additional software that is typically not necessary in production environments. We recommend using multi-stage builds to leverage the -dev variants, copying application artifacts into a final minimal container that offers a reduced attack surface that won’t allow package installations or logins.

Learn More

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Trademarks

This software listing is packaged by Chainguard. The trademarks set forth in this offering are owned by their respective companies, and use of them does not imply any affiliation, sponsorship, or endorsement by such companies.