SageMaker Inference Component

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SageMaker Inference Component is an AWS resource that provides detailed information about a deployed inference component within Amazon SageMaker. It allows you to describe and monitor the configuration, status, and runtime details of the component, which is used to serve machine learning models in production. This helps manage model endpoints more efficiently by offering visibility into how inference workloads are running.

aws.sagemaker_inference_component

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
creation_time	core	timestamp	The time when the inference component was created.
endpoint_arn	core	string	The Amazon Resource Name (ARN) of the endpoint that hosts the inference component.
endpoint_name	core	string	The name of the endpoint that hosts the inference component.
failure_reason	core	string	If the inference component status is Failed, the reason for the failure.
inference_component_arn	core	string	The Amazon Resource Name (ARN) of the inference component.
inference_component_name	core	string	The name of the inference component.
inference_component_status	core	string	The status of the inference component.
last_deployment_config	core	json	The deployment and rollback settings that you assigned to the inference component.
last_modified_time	core	timestamp	The time when the inference component was last updated.
runtime_config	core	json	Details about the runtime settings for the model that is deployed with the inference component.
specification	core	json	Details about the resources that are deployed with this inference component.
tags	core	hstore
variant_name	core	string	The name of the production variant that hosts the inference component.