SageMaker / Client / update_inference_component_runtime_config

update_inference_component_runtime_config#

SageMaker.Client.update_inference_component_runtime_config(**kwargs)#

Runtime settings for a model that is deployed with an inference component.

See also: AWS API Documentation

Request Syntax

response = client.update_inference_component_runtime_config(
    InferenceComponentName='string',
    DesiredRuntimeConfig={
        'CopyCount': 123
    }
)
Parameters:
  • InferenceComponentName (string) –

    [REQUIRED]

    The name of the inference component to update.

  • DesiredRuntimeConfig (dict) –

    [REQUIRED]

    Runtime settings for a model that is deployed with an inference component.

    • CopyCount (integer) – [REQUIRED]

      The number of runtime copies of the model container to deploy with the inference component. Each copy can serve inference requests.

Return type:

dict

Returns:

Response Syntax

{
    'InferenceComponentArn': 'string'
}

Response Structure

  • (dict) –

    • InferenceComponentArn (string) –

      The Amazon Resource Name (ARN) of the inference component.

Exceptions

  • SageMaker.Client.exceptions.ResourceLimitExceeded