# ClusterConfigProperty

The configuration for the cluster resources used to run the processing job.

- Source: Generated code
- Type last changed: v2.93.0 · 23 Aug 2023

## Example

```ts
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_sagemaker as sagemaker } from 'aws-cdk-lib';
const clusterConfigProperty: sagemaker.CfnModelExplainabilityJobDefinition.ClusterConfigProperty = {
  instanceCount: 123,
  instanceType: 'instanceType',
  volumeSizeInGb: 123,

  // the properties below are optional
  volumeKmsKeyId: 'volumeKmsKeyId',
};
```

## Properties

- `instanceCount`: number (required) — The number of ML compute instances to use in the model monitoring job.

  For distributed processing jobs, specify a value greater than 1. The default value is 1.

- `instanceType`: string (required) — The ML compute instance type for the processing job.

- `volumeKmsKeyId`: string — The AWS Key Management Service ( AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

- `volumeSizeInGb`: number (required) — The size of the ML storage volume, in gigabytes, that you want to provision.

  You must specify sufficient ML storage for your scenario.