Chapter 5. AMD GPU Integration

Procedure

1. Use the OpenShift CLI to verify if GPU resources are allocatable:

   1. List all nodes in the cluster to identify the node with an AMD GPU:

      oc get nodes

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   2. Note the name of the node where you expect the AMD GPU to be present.

   3. Describe the node to check its resource allocation:

      oc describe node <node_name>

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   4. In the output, locate the Capacity and Allocatable sections and confirm that amd.com/gpu is listed. For example:

      Capacity:
        amd.com/gpu:  1
      Allocatable:
        amd.com/gpu:  1

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2. Check for the AMD GPU device using the lspci command:

   1. Log in to the node:

      oc debug node/<node_name>
      chroot /host

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   2. Run the lspci command and search for the supported AMD device in your deployment. For example:

      lspci | grep -E "MI210|MI250|MI300"

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   3. Verify that the output includes one of the AMD GPU models. For example:

      03:00.0 Display controller: Advanced Micro Devices, Inc. [AMD] Instinct MI210

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3. Optional: Use the rocminfo command if the ROCm stack is installed on the node:

   rocminfo

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   1. Confirm that the ROCm tool outputs details about the AMD GPU, such as compute units, memory, and driver status.

Procedure

1. Install the latest version of the AMD GPU Operator, as described in Install AMD GPU Operator on OpenShift.
2. After installing the AMD GPU Operator, configure the AMD drivers required by the Operator as described in the documentation: Configure AMD drivers for the GPU Operator.

1. After installing the AMD GPU Operator, create a hardware profile, as described in Working with hardware profiles.