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Chapter 2. Enabling accelerators


Before you can use an accelerator in OpenShift AI, you must install the relevant software components. The installation process varies based on the accelerator type.

Prerequisites

  • You have logged in to your OpenShift cluster.
  • You have the cluster-admin role in your OpenShift cluster.
  • You have installed an accelerator and confirmed that it is detected in your environment.

Procedure

  1. Follow the appropriate documentation to enable your accelerator:

  2. After installing your accelerator, create an accelerator profile as described in: Working with accelerator profiles.

    Important

    By default, hardware profiles are hidden in the dashboard navigation menu and user interface, while accelerator profiles remain visible. In addition, user interface components associated with the deprecated accelerator profiles functionality are still displayed. To show the Settings Hardware profiles option in the dashboard navigation menu, and the user interface components associated with hardware profiles, set the disableHardwareProfiles value to false in the OdhDashboardConfig custom resource (CR) in OpenShift. For more information about setting dashboard configuration options, see Customizing the dashboard.

Verification

  • From the Administrator perspective, go to the Operators Installed Operators page. Confirm that the following Operators appear:

    • The Operator for your accelerator
    • Node Feature Discovery (NFD)
    • Kernel Module Management (KMM)
  • The accelerator is correctly detected a few minutes after full installation of the Node Feature Discovery (NFD) and the relevant accelerator Operator. The OpenShift CLI (oc) displays the appropriate output for the GPU worker node. For example, here is output confirming that an NVIDIA GPU is detected:

    # Expected output when the accelerator is detected correctly
    oc describe node <node name>
    ...
    Capacity:
      cpu:                4
      ephemeral-storage:  313981932Ki
      hugepages-1Gi:      0
      hugepages-2Mi:      0
      memory:             16076568Ki
      nvidia.com/gpu:     1
      pods:               250
    Allocatable:
      cpu:                3920m
      ephemeral-storage:  288292006229
      hugepages-1Gi:      0
      hugepages-2Mi:      0
      memory:             12828440Ki
      nvidia.com/gpu:     1
      pods:               250
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