class Aws::SageMaker::Types::ProcessingClusterConfig

Configuration for the cluster used to run a processing job.

@note When making an API call, you may pass ProcessingClusterConfig

data as a hash:

    {
      instance_count: 1, # required
      instance_type: "ml.t3.medium", # required, accepts ml.t3.medium, ml.t3.large, ml.t3.xlarge, ml.t3.2xlarge, ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.c4.xlarge, ml.c4.2xlarge, ml.c4.4xlarge, ml.c4.8xlarge, ml.p2.xlarge, ml.p2.8xlarge, ml.p2.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.8xlarge, ml.r5.12xlarge, ml.r5.16xlarge, ml.r5.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge
      volume_size_in_gb: 1, # required
      volume_kms_key_id: "KmsKeyId",
    }

@!attribute [rw] instance_count

The number of ML compute instances to use in the processing job. For
distributed processing jobs, specify a value greater than 1. The
default value is 1.
@return [Integer]

@!attribute [rw] instance_type

The ML compute instance type for the processing job.
@return [String]

@!attribute [rw] volume_size_in_gb

The size of the ML storage volume in gigabytes that you want to
provision. You must specify sufficient ML storage for your scenario.

<note markdown="1"> Certain Nitro-based instances include local storage with a fixed
total size, dependent on the instance type. When using these
instances for processing, Amazon SageMaker mounts the local instance
storage instead of Amazon EBS gp2 storage. You can't request a
`VolumeSizeInGB` greater than the total size of the local instance
storage.

 For a list of instance types that support local instance storage,
including the total size per instance type, see [Instance Store
Volumes][1].

 </note>

[1]: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html#instance-store-volumes
@return [Integer]

@!attribute [rw] volume_kms_key_id

The Amazon Web Services Key Management Service (Amazon Web Services
KMS) key that Amazon SageMaker uses to encrypt data on the storage
volume attached to the ML compute instance(s) that run the
processing job.

<note markdown="1"> Certain Nitro-based instances include local storage, dependent on
the instance type. Local storage volumes are encrypted using a
hardware module on the instance. You can't request a
`VolumeKmsKeyId` when using an instance type with local storage.

 For a list of instance types that support local instance storage,
see [Instance Store Volumes][1].

 For more information about local instance storage encryption, see
[SSD Instance Store Volumes][2].

 </note>

[1]: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html#instance-store-volumes
[2]: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ssd-instance-store.html
@return [String]

@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ProcessingClusterConfig AWS API Documentation

Constants

SENSITIVE