

# InferenceComponentRuntimeConfig
<a name="API_InferenceComponentRuntimeConfig"></a>

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

## Contents
<a name="API_InferenceComponentRuntimeConfig_Contents"></a>

 ** CopyCount **   <a name="sagemaker-Type-InferenceComponentRuntimeConfig-CopyCount"></a>
The number of runtime copies of the model container to deploy with the inference component. Each copy can serve inference requests.  
Type: Integer  
Valid Range: Minimum value of 0.  
Required: Yes

## See Also
<a name="API_InferenceComponentRuntimeConfig_SeeAlso"></a>

For more information about using this API in one of the language-specific AWS SDKs, see the following:
+  [AWS SDK for C\+\+](https://docs.aws.amazon.com/goto/SdkForCpp/sagemaker-2017-07-24/InferenceComponentRuntimeConfig) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/sagemaker-2017-07-24/InferenceComponentRuntimeConfig) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/sagemaker-2017-07-24/InferenceComponentRuntimeConfig) 

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon SageMaker. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query sagemaker` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).
