Red Hat Summit 红帽全球峰会支持控制台（Console）开发人员开始试用联系人

此内容没有您所选择的语言版本。

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
    Copy to Clipboard Toggle word wrap
  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.

返回顶部
Red Hat logoGithubredditYoutubeTwitter

学习

尝试、购买和销售

社区

关于红帽文档

通过我们的产品和服务，以及可以信赖的内容，帮助红帽用户创新并实现他们的目标。 了解我们当前的更新.

让开源更具包容性

红帽致力于替换我们的代码、文档和 Web 属性中存在问题的语言。欲了解更多详情，请参阅红帽博客.

關於紅帽

我们提供强化的解决方案，使企业能够更轻松地跨平台和环境（从核心数据中心到网络边缘）工作。

Theme

© 2026 Red Hat