sagemaker_create_endpoint_config: Creates an endpoint configuration that SageMaker hosting...

View source: R/sagemaker_operations.R

sagemaker_create_endpoint_configR Documentation

Creates an endpoint configuration that SageMaker hosting services uses to deploy models

Description

Creates an endpoint configuration that SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the create_model API, to deploy and the resources that you want SageMaker to provision. Then you call the create_endpoint API.

See https://www.paws-r-sdk.com/docs/sagemaker_create_endpoint_config/ for full documentation.

Usage

sagemaker_create_endpoint_config(
  EndpointConfigName,
  ProductionVariants,
  DataCaptureConfig = NULL,
  Tags = NULL,
  KmsKeyId = NULL,
  AsyncInferenceConfig = NULL,
  ExplainerConfig = NULL,
  ShadowProductionVariants = NULL,
  ExecutionRoleArn = NULL,
  VpcConfig = NULL,
  EnableNetworkIsolation = NULL
)

Arguments

EndpointConfigName

[required] The name of the endpoint configuration. You specify this name in a create_endpoint request.

ProductionVariants

[required] An array of ProductionVariant objects, one for each model that you want to host at this endpoint.

DataCaptureConfig
Tags

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

KmsKeyId

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.

The KmsKeyId can be any of the following formats:

  • Key ID: ⁠1234abcd-12ab-34cd-56ef-1234567890ab⁠

  • Key ARN: ⁠arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab⁠

  • Alias name: alias/ExampleAlias

  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

The KMS key policy must grant permission to the IAM role that you specify in your create_endpoint, update_endpoint requests. For more information, refer to the Amazon Web Services Key Management Service section Using Key Policies in Amazon Web Services KMS

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 KmsKeyId when using an instance type with local storage. If any of the models that you specify in the ProductionVariants parameter use nitro-based instances with local storage, do not specify a value for the KmsKeyId parameter. If you specify a value for KmsKeyId when using any nitro-based instances with local storage, the call to create_endpoint_config fails.

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.

AsyncInferenceConfig

Specifies configuration for how an endpoint performs asynchronous inference. This is a required field in order for your Endpoint to be invoked using InvokeEndpointAsync.

ExplainerConfig

A member of create_endpoint_config that enables explainers.

ShadowProductionVariants

An array of ProductionVariant objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants. If you use this field, you can only specify one variant for ProductionVariants and one variant for ShadowProductionVariants.

ExecutionRoleArn

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform actions on your behalf. For more information, see SageMaker Roles.

To be able to pass this role to Amazon SageMaker, the caller of this action must have the iam:PassRole permission.

VpcConfig
EnableNetworkIsolation

Sets whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.


paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.