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