:doc:`SageMaker <../../sagemaker>` / Client / update_inference_component_runtime_config

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update_inference_component_runtime_config
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.. py:method:: 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 <https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateInferenceComponentRuntimeConfig>`_  


  **Request Syntax**
  ::

    response = client.update_inference_component_runtime_config(
        InferenceComponentName='string',
        DesiredRuntimeConfig={
            'CopyCount': 123
        }
    )
    
  :type InferenceComponentName: string
  :param InferenceComponentName: **[REQUIRED]** 

    The name of the inference component to update.

    

  
  :type DesiredRuntimeConfig: dict
  :param DesiredRuntimeConfig: **[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.

      

    
  
  
  :rtype: dict
  :returns: 
    
    **Response Syntax**

    
    ::

      {
          'InferenceComponentArn': 'string'
      }
      
    **Response Structure**

    

    - *(dict) --* 
      

      - **InferenceComponentArn** *(string) --* 

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

        
  
  **Exceptions**
  
  *   :py:class:`SageMaker.Client.exceptions.ResourceLimitExceeded`

  