class Aws::SageMaker::Types::ResourceConfig
Describes the resources, including ML compute instances and ML storage volumes, to use for model training.
@note When making an API call, you may pass ResourceConfig
data as a hash: { instance_type: "ml.m4.xlarge", # required, accepts ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, 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.p3dn.24xlarge, ml.p4d.24xlarge, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.c5n.xlarge, ml.c5n.2xlarge, ml.c5n.4xlarge, ml.c5n.9xlarge, ml.c5n.18xlarge instance_count: 1, # required volume_size_in_gb: 1, # required volume_kms_key_id: "KmsKeyId", }
@!attribute [rw] instance_type
The ML compute instance type. @return [String]
@!attribute [rw] instance_count
The number of ML compute instances to use. For distributed training, provide a value greater than 1. @return [Integer]
@!attribute [rw] volume_size_in_gb
The size of the ML storage volume that you want to provision. ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose `File` as the `TrainingInputMode` in the algorithm specification. You must specify sufficient ML storage for your scenario. <note markdown="1"> Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume type. </note> <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 training, 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 KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training 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> The `VolumeKmsKeyId` can be in any of the following formats: * // KMS Key ID `"1234abcd-12ab-34cd-56ef-1234567890ab"` * // Amazon Resource Name (ARN) of a KMS Key `"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"` [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/ResourceConfig AWS API Documentation
Constants
- SENSITIVE