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Chapter 2. Enabling the model registry component

Before data scientists and AI engineers in your organization can work with the model registry and model catalog, you must ensure that the modelregistry component is enabled in OpenShift AI.

Note

The modelregistry component is enabled by default in a new OpenShift AI 3.2 installation. However, if the model registry was not enabled in a previous version of OpenShift AI, you must enable this component after upgrading to OpenShift AI 3.2.

Prerequisites

Procedure

  1. In the OpenShift console, click Operators Installed Operators.
  2. Search for the Red Hat OpenShift AI Operator version 2.14+, and then click the Operator name to open the Operator details page.
  3. Click the Data Science Cluster tab.
  4. Click the default instance name (for example, default-dsc) to open the instance details page.
  5. Click the YAML tab to show the instance specifications.

  6. Find the spec.components section, and then add or update it to include the following modelregistry component entry, with the managementState field set to Managed, and the registriesNamespace field set to rhoai-model-registries: 

     modelregistry:
    managementState: Managed
    registriesNamespace: rhoai-model-registries
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  7. Click Save.

Verification

  • Confirm that the model registry namespace was created successfully:

    1. In the OpenShift console, click Home Projects.
    2. Confirm that the rhoai-model-registries namespace is displayed in the Projects drop-down list.

  • Check the status of the model-registry-operator-controller-manager pod:

    1. In the OpenShift console, from the Project list, select redhat-ods-applications.
    2. Click Workloads Deployments.
    3. Search for the model-registry-operator-controller-manager deployment.

    4. Check the status:

      1. Click the deployment name to open the deployment details page.
      2. Click the Pods tab.

      3. View the pod status.

        When the status of the model-registry-operator-controller-manager-<pod-id> pod is Running, the pod is ready to use.

Next step

OpenShift AI administrators can create, delete, and manage permissions for model registries. For more information, see Managing model registries.

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