Builder
Properties
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.
The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
Specifies configuration for a core dump from the model container when the process crashes.
You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint
.
Number of instances to launch initially.
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.
The ML compute instance type.
Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
The name of the production variant.
The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.
Functions
construct an aws.sdk.kotlin.services.sagemaker.model.ProductionVariantCoreDumpConfig inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ProductionVariantManagedInstanceScaling inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ProductionVariantRoutingConfig inside the given block
construct an aws.sdk.kotlin.services.sagemaker.model.ProductionVariantServerlessConfig inside the given block