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