The Red Hat Ecosystem Catalog is the official source for discovering and learning more about the Red Hat Ecosystem of both Red Hat and certified third-party products and services.
We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.
The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components needed to provision GPU. These components include the NVIDIA drivers (to enable CUDA), Kubernetes device plugin for GPUs, the NVIDIA Container Runtime, automatic node labelling, DCGM based monitoring and others.
For more information on getting started with the GPU Operator using OpenShift OperatorHub, refer to the product documentation.
The following information was extracted from the containerfile and other sources.
Summary | Automate the management and monitoring of NVIDIA GPUs. |
Description | The Universal Base Image is designed and engineered to be the base layer for all of your containerized applications, middleware and utilities. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly. |
Provider | Nvidia Corporation |
Maintainer | NVIDIA CORPORATION <sw-cuda-installer@nvidia.com> |
The following information was extracted from the containerfile and other sources.
Repository name | NVIDIA GPU Operator |
Image version | 92db3259a39263a3cf1206d8f8cdc6ad0175c712 |
Architecture | amd64 |
User | gpu-operator |
Product EULA
* If you have a publicly available EULA for your product provide the URL here.
Instructions to obtain the container images from the hosted registry.
* Specify if authentication is required to access the repository.
* If your product is supported on OpenShift, for best practices, it is recommended to use registry tokens when pulling content for OpenShift deployments.
Use the following command(s) from a system with podman installed.
*If your product is supported on Red Hat Enterprise Linux 8, with the release of RHEL8, there is a new set of container tools which allow users to find, run, build, and share containers. This set of tools allows you to start simple with podman, and adopt more sophisticated tools (buildah, and skopeo) as you discover advanced use cases.
Example:
$ podman login <Hosted Registry Name>
Username: ${REGISTRY-SERVICE-ACCOUNT-USERNAME}
Password: ${REGISTRY-SERVICE-ACCOUNT-PASSWORD}
Login Succeeded!
$ podman pull <Repository Path for your container image>
Use the following command(s) from a system with docker service installed and running.
Example:
$ docker login <Hosted Registry Name>
Username: ${REGISTRY-SERVICE-ACCOUNT-USERNAME}
Password: ${REGISTRY-SERVICE-ACCOUNT-PASSWORD}
Login Succeeded!
$ docker pull <Repository Path for your container image>
Quick Start commands to start the application
*Provide instructions on how to use the image to quick start your application.
User Guide
For more information see the user guide: https://docs.nvidia.com/datacenter/kubernetes/openshift-on-gpu-install-guide/index.html
Support
Please open an issue on the GitHub project for any questions.