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Chapter 3. AMD GPU Operator
AMD Instinct GPU accelerators combined with the AMD GPU Operator within your OpenShift Container Platform cluster lets you seamlessly harness computing capabilities for machine learning, Generative AI, and GPU-accelerated applications.
This documentation provides the information you need to enable, configure, and test the AMD GPU Operator. For more information, see AMD Instinct™ Accelerators.
3.1. About the AMD GPU Operator
The hardware acceleration capabilities of the AMD GPU Operator provide enhanced performance and cost efficiency for data scientists and developers using Red Hat OpenShift AI for creating artificial intelligence and machine learning (AI/ML) applications. Accelerating specific areas of GPU functions can minimize CPU processing and memory usage, improving overall application speed, memory consumption, and bandwidth restrictions.
3.2. Installing the AMD GPU Operator
As a cluster administrator, you can install the AMD GPU Operator by using the OpenShift CLI and the web console. This is a multi-step procedure that requires the installation of the Node Feature Discovery Operator, the Kernel Module Management Operator, and then the AMD GPU Operator. Use the following steps in succession to install the AMD community release of the Operator.
Next steps
- Install the Node Feature Discovery Operator.
- Install the Kernel Module Management Operator.
- Install and configure the AMD GPU Operator.
3.3. Testing the AMD GPU Operator
Use the following procedure to test the ROCmInfo installation and view the logs for the AMD MI210 GPU.
Procedure
Create a YAML file that tests ROCmInfo:
$ cat << EOF > rocminfo.yaml apiVersion: v1 kind: Pod metadata: name: rocminfo spec: containers: - image: docker.io/rocm/pytorch:latest name: rocminfo command: ["/bin/sh","-c"] args: ["rocminfo"] resources: limits: amd.com/gpu: 1 requests: amd.com/gpu: 1 restartPolicy: Never EOFCreate the
rocminfopod:$ oc create -f rocminfo.yaml
Example output
apiVersion: v1 pod/rocminfo created
Check the
rocmnfolog with one MI210 GPU:$ oc logs rocminfo | grep -A5 "Agent"
Example output
HSA Agents ========== ******* Agent 1 ******* Name: Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz Uuid: CPU-XX Marketing Name: Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz Vendor Name: CPU -- Agent 2 ******* Name: Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz Uuid: CPU-XX Marketing Name: Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz Vendor Name: CPU -- Agent 3 ******* Name: gfx90a Uuid: GPU-024b776f768a638b Marketing Name: AMD Instinct MI210 Vendor Name: AMD
Delete the pod:
$ oc delete -f rocminfo.yaml
Example output
pod "rocminfo" deleted
