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

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

Overview

Configuration for the cluster used to run a processing job.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#instance_count ⇒ Integer

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 'lib/aws-sdk-sagemaker/types.rb', line 38398

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

#instance_type ⇒ String

The ML compute instance type for the processing job.

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 38398

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

#volume_kms_key_id ⇒ String

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].

For more information about local instance storage encryption, see

[SSD Instance Store Volumes].

</note>

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

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 38398

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

#volume_size_in_gb ⇒ Integer

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].

</note>

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

Returns:

  • (Integer) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 38398

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