Red Hat SummitChapter 3. Customizing the dashboard
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.
3.1. 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.
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In the Administrator perspective, click Home
API Explorer. -
In the search bar, enter
OdhDashboardConfigto filter by kind. -
Click the
OdhDashboardConfigcustom resource (CR) to open the resource details page. -
Select the
redhat-ods-applicationsproject from the Project list. - Click the Instances tab.
-
Click the
odh-dashboard-configinstance to open the details page. - Click the YAML tab.
- Edit the values of the options that you want to change.
- Click Save to apply your changes and then click Reload to synchronize your changes to the cluster.
Verification
Log in to OpenShift AI and verify that your dashboard configurations apply.
3.2. 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.
Features denoted with (Technology Preview) in this table are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using Technology Preview features in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.
| Feature configuration option | Default value | Description |
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Shows the Settings
Note: The |
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Shows the Settings |
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Shows the Settings |
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Shows the Settings |
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Shows the Settings |
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Shows the Distributed workloads option in the dashboard navigation menu. To hide this menu option, set the value to |
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Hides the Settings
To show the Settings
If both options are set to Hardware profiles is a Technology Preview feature in this OpenShift AI release. |
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Shows the Home option in the dashboard navigation menu. To hide this menu option, set the value to |
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On the Applications |
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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 |
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Enables the ability to select KServe as a model-serving platform. To disable this ability, set the value to |
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Enables the ability to use authentication with KServe. To disable this ability, set the value to |
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Enables the ability to view KServe metrics. To disable this ability, set the value to |
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On the Settings On the Deploy model dialog when using the single-model serving platform: - If the Red Hat OpenShift Serverless Operator and Red Hat OpenShift Service Mesh Operator are installed, shows the Deployment mode list. - If the Red Hat OpenShift Serverless Operator and Red Hat OpenShift Service Mesh Operator are not installed, hides the Deployment mode list, and sets the deployment mode to Standard.
To hide these deployment-mode lists and set the deployment mode to Advanced when using the single-model serving platform, set the |
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Enables the ability to select ModelMesh as a model-serving platform. To disable this ability, set the value to |
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Shows the Model registry option and the Settings |
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Shows the Add CA certificate to secure database connection section in the Create model registry dialog and the Edit model registry dialog. To hide this section, set the value to |
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Shows the Models option in the dashboard navigation menu and in the list of components for the data science projects. To hide Models from the dashboard navigation menu and from the list of components for data science projects, set the value to |
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Enables the ability to select NVIDIA NIM as a model-serving platform. To disable this ability, set the value to |
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Shows the Endpoint Performance tab on the Model deployments page. To hide this tab, set the value to |
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Shows the Data science pipelines option in the dashboard navigation menu. To hide this menu option, set the value to |
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Shows the Data science projects option in the dashboard navigation menu. To hide this menu option, set the value to |
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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 |
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Shows the Configuration parameters section in the Deploy model dialog and the Edit model dialog when using the single-model serving platform. To hide this section, set the value to |
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Shows the Settings |
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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 |
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Allows Red Hat to collect data about OpenShift AI usage in your cluster. To disable data collection, set the value to |
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Shows the Model Bias tab on the Models page. To hide this tab, set the value to |
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Shows the Settings |
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Enables OpenShift AI administrators to add applications to the OpenShift AI dashboard Applications |
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| Controls the Notebook Controller options, such as whether it is enabled in the dashboard and which parts are visible. |
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| Allows you to customize names and resources for notebooks. The Kubernetes-style sizes are shown in the drop-down menu that appears when launching a workbench with the Notebook Controller. Note: These sizes must follow conventions. For example, requests must be smaller than limits. | |
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| Allows you to customize names and resources for model servers. | |
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Read-only. To configure access to the OpenShift AI dashboard, use the | |
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| Specifies the order of custom Serving Runtime templates. When the user creates a new template, it is added to this list. |
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