Update a deployment configuration - Amazon SageMaker AI

Update a deployment configuration

You can update the deployment configuration for models that you've deployed to endpoints in Amazon SageMaker Canvas. For example, you can deploy an updated model version to the endpoint, or you can update the instance type or number of instances behind the endpoint based on your capacity needs.

There are several different ways for you to update your deployment from the Canvas application. You can use any of the following methods:

  • On the ML Ops page of the Canvas application, you can choose the Deployments tab and select the deployment that you want to update. Then, choose Update configuration.

  • When on the details page for a model version, on the Deploy tab, you can view the deployments for that version. Next to the deployment, choose the More options icon ( More options icon for the output CSV file. ) and then choose Update configuration.

Both of the preceding methods open the Update configuration side panel, where you can make changes to your deployment configuration. To update the configuration, do the following:

  1. For the Select version dropdown menu, you can select a different model version to deploy to the endpoint.

    Note

    When updating a deployment configuration, you can only choose a different model version to deploy. To deploy a different model, create a new deployment.

  2. For Instance type, you can select a different instance type for hosting your model.

  3. For Instance count, you can change the number of active instances that are used for your endpoint.

  4. Choose Save.

Your deployment configuration should now be updated.