AMD GPU Operator Documentation

AMD GPU Operator Documentation#

The AMD GPU Operator simplifies the deployment and management of AMD Instinct GPU accelerators within Kubernetes clusters. This project enables seamless configuration and operation of GPU-accelerated workloads, including machine learning, Generative AI, and other GPU-intensive applications.

Features#

  • Automated driver installation and management

  • Easy deployment of the AMD GPU device plugin

  • Metrics collection and export

  • Support for Vanilla Kubernetes

  • Simplified GPU resource allocation for containers

  • Automatic worker node labeling for GPU-enabled nodes

Compatibility#

  • Kubernetes: 1.29.0

  • Please refer to the ROCm documentation for the compatibility matrix for the AMD GPU DKMS driver.

Prerequisites#

  • Helm v3.2.0+

  • kubectl CLI tool configured to access your cluster

Support#

For bugs and feature requests, please file an issue on our GitHub Issues page.

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