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Model Serve roles

Model Serve
roles

To provide access to

Model Serve

, assign users the appropriate roles. You can assign a system-defined role or create custom roles for users.

The following table describes the system-defined roles that provide access to

Model Serve

:

Role	Description
Admin*	Provides full access to Model Serve .
Designer*	Allows users to perform the following tasks in Model Serve : Create, view, edit, and delete machine learning models. Create, view, edit, delete, and run model deployments. Generate predictions from a deployed machine learning model.
Model Serve Admin	Role for Model Serve administration. Allows users to perform the following tasks: Assign permissions for other Model Serve users. Register and deploy machine learning models. Generate predictions from a deployed machine learning model.
Model Serve Predictions User	Role for generating predictions. Allows users to perform the following tasks: Generate predictions from a deployed machine learning model. View, but not change, model deployment assets.
Model Serve System Role	Role for the Model Serve system user. Assigns necessary permissions so that the system user can perform tasks such as provisioning resources for model deployments. Do not assign this role to users. For more information about the Model Serve system user, see Model Serve system user.
Monitor*	Allows users to view asset details in Model Serve .
Operator*	Allows users to view asset details in Model Serve .
* Provides access to multiple services. For more information, see Cross-service roles.

System-defined roles

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