Deleting a Model Deployment

Delete a Data Science model deployment from a project.

If you configured logs, you can manually delete the access and predict logs that are associated with a model deployment. By default the logs aren't deleted.

Model deployments that use the model deployment that you delete can't be used.

    1. On the Projects list page, select the project that contains the model deployments that you want to work with. If you need help finding the list page or the project, see Listing Projects.
    2. On the project details page, select Model deployments.
      All model deployments in the selected project are displayed in a table.
    3. Find the model deployment that you want to work with.
    4. From the Actions menu (three dots) for the model deployment, select Terminate.
    5. In the Delete dialog box, enter the name of the model deployment that you want to delete exactly as it appears.
    6. Select Delete.
    A notification is displayed indicating that the model deployment is deleted successfully.
  • Use the oci data-science model-deployment delete command and required parameters to delete a model deployment:

    oci data-science model-deployment delete --model-deployment-id <model-deployment-id> ... [OPTIONS]

    For a complete list of parameters and values for CLI commands, see the CLI Command Reference.

  • Use the DeleteModelDeployment operation to delete the model deployment.