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