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