Delete a custom model deployment - Amazon Bedrock
Delete a custom model deployment (console)Delete a custom model deployment (AWS Command Line Interface)Delete a custom model deployment (AWS SDKs)

Delete a custom model deployment

After you are finished using your model for on-demand inference, you can delete the deployment. After you delete the deployment, you can't use it for on-demand inference but deployment deletion doesn't delete the underlying custom model.

You can delete a custom model deployment with the Amazon Bedrock console, AWS Command Line Interface, or AWS SDKs.

Important

Deleting a custom model deployment is irreversible. Make sure you no longer need the deployment before proceeding with the deletion. If you need to use the custom model for on-demand inference again, you must create a new deployment.

Delete a custom model deployment (console)

To delete a custom model deployment

  1. In the navigation pane, under Infer, choose Custom model on-demand.

  2. Choose the custom model deployment you want to delete.

  3. Choose Delete.

  4. In the confirmation dialog, enter the deployment name to confirm the deletion.

  5. Choose Delete to confirm deletion.

Delete a custom model deployment (AWS Command Line Interface)

To delete a custom model deployment using the AWS Command Line Interface, use the delete-custom-model-deployment command with your deployment identifier. This command uses the DeleteCustomModelDeployment API operation. 

aws bedrock delete-custom-model-deployment \
--custom-model-deployment-identifier "deployment-arn-or-name" \
--region region

Delete a custom model deployment (AWS SDKs)

To delete a custom model deployment programmatically, use the DeleteCustomModelDeployment API operation with the deployment's Amazon Resource Name (ARN) or name. The following code shows how to use the SDK for Python (Boto3) to delete a custom model deployment. 

def delete_custom_model_deployment(bedrock_client):
    """Delete a custom model deployment

    Args:
        bedrock_client: A boto3 Amazon Bedrock client for making API calls

    Returns:
        dict: The response from the delete operation

    Raises:
        Exception: If there is an error deleting the deployment
    """

    try:
        response = bedrock_client.delete_custom_model_deployment(
            customModelDeploymentIdentifier="Deployment identifier"
        )

        print("Deleting deployment...")
        return response

    except Exception as e:
        print(f"Error deleting deployment: {str(e)}")
        raise