class Aws::SageMaker::Types::ProductionVariant

Identifies a model that you want to host and the resources chosen 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.

@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
      core_dump_config: {
        destination_s3_uri: "DestinationS3Uri", # required
        kms_key_id: "KmsKeyId",
      },
    }

@!attribute [rw] variant_name

The name of the production variant.
@return [String]

@!attribute [rw] model_name

The name of the model that you want to host. This is the name that
you specified when creating the model.
@return [String]

@!attribute [rw] initial_instance_count

Number of instances to launch initially.
@return [Integer]

@!attribute [rw] instance_type

The ML compute instance type.
@return [String]

@!attribute [rw] initial_variant_weight

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.
@return [Float]

@!attribute [rw] accelerator_type

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][1].

[1]: https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html
@return [String]

@!attribute [rw] core_dump_config

Specifies configuration for a core dump from the model container
when the process crashes.
@return [Types::ProductionVariantCoreDumpConfig]

@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ProductionVariant AWS API Documentation

Constants

SENSITIVE