Chapter 1. Customizing the dashboard

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The OpenShift AI dashboard provides features that are designed to work for most scenarios. These features are configured in the OdhDashboardConfig custom resource (CR) file.

To see a description of the options in the OpenShift AI dashboard configuration file, see Dashboard configuration options.

As an administrator, you can customize the interface of the dashboard, for example to show or hide some of the dashboard navigation menu options. To change the default settings of the dashboard, edit the OdhDashboardConfig custom resource (CR) file as described in Editing the dashboard configuration file.

1.1. Editing the dashboard configuration file

As an administrator, you can customize the interface of the dashboard by editing the dashboard configuration file.

Prerequisites

You have cluster administrator privileges for your OpenShift cluster.

Procedure

Log in to the OpenShift console as a cluster administrator.
In the Administrator perspective, click Home API Explorer.
In the search bar, enter OdhDashboardConfig to filter by kind.
Click the OdhDashboardConfig custom resource (CR) to open the resource details page.
Select the redhat-ods-applications project from the Project list.
Click the Instances tab.
Click the odh-dashboard-config instance to open the details page.

Click the YAML tab. Here is an example OdhDashboardConfig file showing default values:

apiVersion: opendatahub.io/v1alpha
kind: OdhDashboardConfig
metadata:
  name: odh-dashboard-config
spec:
  dashboardConfig:
    enablement: true
    disableBYONImageStream: false
    disableClusterManager: false
    disableISVBadges: false
    disableInfo: false
    disableSupport: false
    disableTracking: true
    disableProjects: true
    disablePipelines: true
    disableModelServing: true
    disableProjectSharing: true
    disableCustomServingRuntimes: false
    disableAcceleratorProfiles: true
    modelMetricsNamespace: ''
    disablePerformanceMetrics: false
  notebookController:
    enabled: true
  notebookSizes:
    - name: Small
      resources:
        limits:
          cpu: '2'
          memory: 2Gi
        requests:
          cpu: '1'
          memory: 1Gi
    - name: Medium
      resources:
        limits:
          cpu: '4'
          memory: 4Gi
        requests:
          cpu: '2'
          memory: 2Gi
    - name: Large
      resources:
        limits:
          cpu: '8'
          memory: 8Gi
        requests:
          cpu: '4'
          memory: 4Gi
  modelServerSizes:
    - name: Small
      resources:
        limits:
          cpu: '2'
          memory: 8Gi
        requests:
          cpu: '1'
          memory: 4Gi
    - name: Medium
      resources:
        limits:
          cpu: '8'
          memory: 10Gi
        requests:
          cpu: '4'
          memory: 8Gi
    - name: Large
      resources:
        limits:
          cpu: '10'
          memory: 20Gi
        requests:
          cpu: '6'
          memory: 16Gi
  groupsConfig:
    adminGroups: 'odh-admins'
    allowedGroups: 'system:authenticated'
  templateOrder:
    - 'ovms'
  templateDisablement:
    - 'ovms'

Edit the values of the options that you want to change.
Click Save to apply your changes and then click Reload to make sure that your changes are synced to the cluster.

Verification

1.2. Dashboard configuration options

The OpenShift AI dashboard includes a set of core features enabled by default that are designed to work for most scenarios. Administrators can configure the OpenShift AI dashboard from the OdhDashboardConfig custom resource (CR) in OpenShift.

Table 1.1. Dashboard feature configuration options
Feature	Default	Description
`dashboardConfig: enablement`	`true`	Enables admin users to add applications to the OpenShift AI dashboard Application Enabled page. To disable this ability, set the value to `false`.
`dashboardConfig: disableInfo`	`false`	On the Applications Explore page, when a user clicks on an application tile, an information panel opens with more details about the application. To disable the information panel for all applications on the Applications Explore page , set the value to `true`.
`dashboardConfig: disableSupport`	`false`	Shows the Support menu option when a user clicks the Help icon in the dashboard toolbar. To hide this menu option, set the value to `true`.
`dashboardConfig: disableClusterManager`	`false`	Shows the Settings Cluster settings option in the dashboard navigation menu. To hide this menu option, set the value to `true`.
`dashboardConfig: disableTracking`	`true`	Allows Red Hat to collect data about OpenShift AI usage in your cluster. To enable data collection, set the value to `false`. You can also set this option in the OpenShift AI dashboard interface from the Settings Cluster settings navigation menu.
`dashboardConfig: disableBYONImageStream`	`false`	Shows the Settings Notebook images option in the dashboard navigation menu. To hide this menu option, set the value to `false`.
`dashboardConfig: disableISVBadges`	`false`	Shows the label on a tile that indicates whether the application is “Red Hat managed”, “Partner managed”, or “Self-managed”. To hide these labels, set the value to `true`.
`dashboardConfig: disableUserManagement`	`false`	Shows the Settings User management option in the dashboard navigation menu. To hide this menu option, set the value to `true`.
`dashboardConfig: disableProjects`	`false`	Shows the Data Science Projects option in the dashboard navigation menu. To hide this menu option, set the value to `true`.
`dashboardConfig: disablePipelines`	`false`	Shows the Data Science Pipelines option in the dashboard navigation menu. To hide this menu option, set the value to `true`.
`dashboardConfig: disableModelServing`	`false`	Shows the Model Serving option in the dashboard navigation menu and in the list of components for the data science projects. To hide Model Serving from the dashboard navigation menu and from the list of components for data science projects, set the value to `true`.
`dashboardConfig: disableProjectSharing`	`false`	Allows users to share access to their data science projects with other users. To prevent users from sharing data science projects, set the value to `true`.
`dashboardConfig: disableCustomServingRuntimes`	`false`	Shows the Serving runtimes option in the dashboard navigation menu. To hide this menu option, set the value to `true`.
`dashboardConfig: disableKServe`	`false`	Enables the ability to select KServe as a Serving Platform. To disable this ability, set the value to `true`.
`dashboardConfig: disableModelMesh`	`false`	Enables the ability to select ModelMesh as a Serving Platform. To disable this ability, set the value to `true`.
`dashboardConfig: disableAcceleratorProfiles`	`false`	Shows the Accelerator profiles option in the dashboard navigation menu. To hide this menu option, set the value to `true`.
`dashboardConfig: modelMetricsNamespace`	`false`	Enables the namespace in which the Model Serving Metrics' Prometheus Operator is installed.
`dashboardConfig: disablePerformanceMetrics`	`false`	Shows the Endpoint Performance tab on the Model Serving page. To hide this tab, set the value to `true`.
`notebookController: enabled`	`true`	Controls the Notebook Controller options, such as whether it is enabled in the dashboard and which parts are visible.
`notebookSizes`		Allows you to customize names and resources for notebooks. The Kubernetes-style sizes are shown in the dropdown menu that appears when spawning notebooks with the Notebook Controller. Note: These sizes must follow conventions. For example, requests must be smaller than limits.
`ModelServerSizes`		Allows you to customize names and resources for model servers.
`groupsConfig`		Controls access to dashboard features, such as the spawner for allowed users and the cluster settings UI for admin users.
`templateOrder`		Specifies the order of custom Serving Runtime templates. When the user creates a new template, it is added to this list.

Chapter 1. Customizing the dashboard

1.1. Editing the dashboard configuration file

1.2. Dashboard configuration options

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