Class: Aws::SageMaker::Types::ProcessingClusterConfig

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

Configuration for the cluster used to run a processing job.

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#instance_countInteger

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.

Returns:

  • (Integer)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46516

class ProcessingClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id,
  :instance_preferences,
  :selected_instance_type,
  :selected_instance_count)
  SENSITIVE = []
  include Aws::Structure
end

#instance_preferencesArray<Types::ProcessingInstancePreference>

An ordered list of ML compute instance types for the processing job, in priority order. Amazon SageMaker launches the job on the first instance type in the list that has available capacity. If capacity is insufficient, Amazon SageMaker evaluates the next instance type in the list. Exactly one instance type is selected for the job.

InstancePreferences is mutually exclusive with InstanceType.



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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46516

class ProcessingClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id,
  :instance_preferences,
  :selected_instance_type,
  :selected_instance_count)
  SENSITIVE = []
  include Aws::Structure
end

#instance_typeString

The ML compute instance type for the processing job.

Returns:

  • (String)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46516

class ProcessingClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id,
  :instance_preferences,
  :selected_instance_type,
  :selected_instance_count)
  SENSITIVE = []
  include Aws::Structure
end

#selected_instance_countInteger

The number of instances of SelectedInstanceType that the job launched with. The job is billed for this instance type and count. Returned by DescribeProcessingJob after an instance type is selected. This field is read-only and isn't accepted in CreateProcessingJob requests.

Returns:

  • (Integer)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46516

class ProcessingClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id,
  :instance_preferences,
  :selected_instance_type,
  :selected_instance_count)
  SENSITIVE = []
  include Aws::Structure
end

#selected_instance_typeString

The instance type that Amazon SageMaker selected for the job from InstancePreferences. Returned by DescribeProcessingJob after an instance type is selected. This field is read-only and isn't accepted in CreateProcessingJob requests.

Returns:

  • (String)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46516

class ProcessingClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id,
  :instance_preferences,
  :selected_instance_type,
  :selected_instance_count)
  SENSITIVE = []
  include Aws::Structure
end

#volume_kms_key_idString

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.

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.

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

Returns:

  • (String)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46516

class ProcessingClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id,
  :instance_preferences,
  :selected_instance_type,
  :selected_instance_count)
  SENSITIVE = []
  include Aws::Structure
end

#volume_size_in_gbInteger

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

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.

Returns:

  • (Integer)


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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 46516

class ProcessingClusterConfig < Struct.new(
  :instance_count,
  :instance_type,
  :volume_size_in_gb,
  :volume_kms_key_id,
  :instance_preferences,
  :selected_instance_type,
  :selected_instance_count)
  SENSITIVE = []
  include Aws::Structure
end