# ProcessingResources
<a name="API_ProcessingResources"></a>

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

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

 ** ClusterConfig **   <a name="sagemaker-Type-ProcessingResources-ClusterConfig"></a>
The configuration for the resources in a cluster used to run the processing job.  
Type: [ProcessingClusterConfig](API_ProcessingClusterConfig.md) object  
Required: Yes

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

For more information about using this API in one of the language-specific AWS SDKs, see the following:
+  [AWS SDK for C\$1\$1](https://docs.aws.amazon.com/goto/SdkForCpp/sagemaker-2017-07-24/ProcessingResources) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/sagemaker-2017-07-24/ProcessingResources) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/sagemaker-2017-07-24/ProcessingResources)