Class: Aws::SageMaker::Types::ProcessingResources

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::ProcessingResources

Defined in:

gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

Note:

When making an API call, you may pass ProcessingResources data as a hash:

{
  cluster_config: { # required
    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",
  },
}

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #cluster_config ⇒ Types::ProcessingClusterConfig

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

Instance Attribute Details

#cluster_config ⇒ Types::ProcessingClusterConfig

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

Returns:

• (Types::ProcessingClusterConfig)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 34099

class ProcessingResources < Struct.new(
  :cluster_config)
  SENSITIVE = []
  include Aws::Structure
end