# TransformResources

ML compute instances for the transform job.

- Source: [`aws-stepfunctions-tasks/lib/sagemaker/base-types.ts`](https://github.com/aws/aws-cdk/blob/v2.274.0/packages/aws-cdk-lib/aws-stepfunctions-tasks/lib/sagemaker/base-types.ts#L620)
- Type last changed: v2.224.0 · 13 Nov 2025

## Example

```ts
new tasks.SageMakerCreateTransformJob(this, 'Batch Inference', {
  transformJobName: 'MyTransformJob',
  modelName: 'MyModelName',
  modelClientOptions: {
    invocationsMaxRetries: 3,  // default is 0
    invocationsTimeout: Duration.minutes(5),  // default is 60 seconds
  },
  transformInput: {
    transformDataSource: {
      s3DataSource: {
        s3Uri: 's3://inputbucket/train',
        s3DataType: tasks.S3DataType.S3_PREFIX,
      }
    }
  },
  transformOutput: {
    s3OutputPath: 's3://outputbucket/TransformJobOutputPath',
  },
  transformResources: {
    instanceCount: 1,
    instanceType: ec2.InstanceType.of(ec2.InstanceClass.M4, ec2.InstanceSize.XLARGE),
  }
});
```

## Properties

- `instanceCount`: number (required) — Number of ML compute instances to use in the transform job.

- `instanceType`: [InstanceType](/cdk/api/v2/docs/aws-cdk-lib.aws_ec2.InstanceType.html) (required) — ML compute instance type for the transform job.

- `volumeEncryptionKey`: [IKeyRef](/cdk/api/v2/docs/aws-cdk-lib.interfaces.aws_kms.IKeyRef.html) = None — AWS KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s).