CmdID / aws / aws sagemaker

aws sagemaker create-endpoint-config

Creates an endpoint configuration that SageMaker hosting services uses to deploy models. AWS CLI reference

12 options Its page in the AWS CLI reference

Options

12 in the AWS CLI reference

--async-inference-configSpecifies configuration for how an endpoint performs asynchronous inference.

--data-capture-configConfiguration to control how SageMaker AI captures inference data.

--enable-network-isolationSets whether all model containers deployed to the endpoint are isolated.

--endpoint-config-nameThe name of the endpoint configuration.

--execution-role-arnThe Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform actions on your behalf.

--explainer-configA member of CreateEndpointConfig that enables explainers.

--kms-key-idThe 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.

--metrics-configThe configuration parameters for utilization metrics.

--production-variantsAn array of ProductionVariant objects, one for each model that you want to host at this endpoint.

--shadow-production-variantsAn 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.

--tagsAn array of key-value pairs.

--vpc-configSpecifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to.