# 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 it 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.

**Topics**
+ [

## Delete a custom model deployment (console)
](#delete-deployment-console)
+ [

## Delete a custom model deployment (AWS Command Line Interface)
](#delete-deployment-cli)
+ [

## Delete a custom model deployment (AWS SDKs)
](#delete-deployment-sdk)

## Delete a custom model deployment (console)


**To delete a custom model deployment**

1. In the navigation pane, under **Inference and Assessment**, choose **Custom model on-demand**.

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

1. Choose **Delete**.

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

1. Choose **Delete** to confirm.

The deployment status will change to `Deleting` while the deletion is in progress. Once completed, the deployment will be removed from the list.

## 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.

```
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](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_DeleteCustomModelDeployment.html) 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 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(f"Deployment deletion initiated")
        return response
 
    except Exception as e:
        print(f"Error deleting deployment: {str(e)}")
        raise
```