Class: Aws::SageMaker::Types::ProductionVariant

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::ProductionVariant

Defined in:

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

Overview

Note:

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

{
  variant_name: "VariantName", # required
  model_name: "ModelName", # required
  initial_instance_count: 1, # required
  instance_type: "ml.t2.medium", # required, accepts ml.t2.medium, ml.t2.large, ml.t2.xlarge, ml.t2.2xlarge, ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5d.large, ml.m5d.xlarge, ml.m5d.2xlarge, ml.m5d.4xlarge, ml.m5d.12xlarge, ml.m5d.24xlarge, ml.c4.large, 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.large, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.c5d.large, ml.c5d.xlarge, ml.c5d.2xlarge, ml.c5d.4xlarge, ml.c5d.9xlarge, ml.c5d.18xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.12xlarge, ml.r5.24xlarge, ml.r5d.large, ml.r5d.xlarge, ml.r5d.2xlarge, ml.r5d.4xlarge, ml.r5d.12xlarge, ml.r5d.24xlarge, ml.inf1.xlarge, ml.inf1.2xlarge, ml.inf1.6xlarge, ml.inf1.24xlarge
  initial_variant_weight: 1.0,
  accelerator_type: "ml.eia1.medium", # accepts ml.eia1.medium, ml.eia1.large, ml.eia1.xlarge, ml.eia2.medium, ml.eia2.large, ml.eia2.xlarge
}

Identifies a model that you want to host and the resources to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #accelerator_type ⇒ String

  The size of the Elastic Inference (EI) instance to use for the production variant.

• #initial_instance_count ⇒ Integer

  Number of instances to launch initially.

• #initial_variant_weight ⇒ Float

  Determines initial traffic distribution among all of the models that you specify in the endpoint configuration.

• #instance_type ⇒ String

  The ML compute instance type.

• #model_name ⇒ String

  The name of the model that you want to host.

• #variant_name ⇒ String

  The name of the production variant.

Instance Attribute Details

#accelerator_type ⇒ String

The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 17483

class ProductionVariant < Struct.new(
  :variant_name,
  :model_name,
  :initial_instance_count,
  :instance_type,
  :initial_variant_weight,
  :accelerator_type)
  SENSITIVE = []
  include Aws::Structure
end

#initial_instance_count ⇒ Integer

Number of instances to launch initially.

Returns:

• (Integer)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 17483

class ProductionVariant < Struct.new(
  :variant_name,
  :model_name,
  :initial_instance_count,
  :instance_type,
  :initial_variant_weight,
  :accelerator_type)
  SENSITIVE = []
  include Aws::Structure
end

#initial_variant_weight ⇒ Float

Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

Returns:

• (Float)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 17483

class ProductionVariant < Struct.new(
  :variant_name,
  :model_name,
  :initial_instance_count,
  :instance_type,
  :initial_variant_weight,
  :accelerator_type)
  SENSITIVE = []
  include Aws::Structure
end

#instance_type ⇒ String

The ML compute instance type.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 17483

class ProductionVariant < Struct.new(
  :variant_name,
  :model_name,
  :initial_instance_count,
  :instance_type,
  :initial_variant_weight,
  :accelerator_type)
  SENSITIVE = []
  include Aws::Structure
end

#model_name ⇒ String

The name of the model that you want to host. This is the name that you specified when creating the model.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 17483

class ProductionVariant < Struct.new(
  :variant_name,
  :model_name,
  :initial_instance_count,
  :instance_type,
  :initial_variant_weight,
  :accelerator_type)
  SENSITIVE = []
  include Aws::Structure
end

#variant_name ⇒ String

The name of the production variant.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 17483

class ProductionVariant < Struct.new(
  :variant_name,
  :model_name,
  :initial_instance_count,
  :instance_type,
  :initial_variant_weight,
  :accelerator_type)
  SENSITIVE = []
  include Aws::Structure
end