Amazon SageMaker Runtime

2021/08/18 - 1 new api methods

Changes   Amazon SageMaker now supports Asynchronous Inference endpoints. Adds PlatformIdentifier field that allows Notebook Instance creation with different platform selections. Increases the maximum number of containers in multi-container endpoints to 15. Adds more instance types to InstanceType field.

2021/02/22 - 1 updated api methods

Changes   Amazon SageMaker now supports core dump for SageMaker Endpoints and direct invocation of a single container in a SageMaker Endpoint that hosts multiple containers.

2020/12/08 - 1 updated api methods

Changes   This feature helps you monitor model performance characteristics such as accuracy, identify undesired bias in your ML models, and explain model decisions better with explainability drift detection.

2020/06/05 - 1 updated api methods

Changes   You can now specify the production variant to send the inference request to, when invoking a SageMaker Endpoint that is running two or more variants.

2019/11/18 - 1 updated api methods

Changes   Amazon SageMaker now supports multi-model endpoints to host multiple models on an endpoint using a single inference container.

2018/08/29 - 1 updated api methods

Changes   SageMaker Runtime supports CustomAttributes header which allows customers provide additional information in a request for an inference submitted to a model or in the response about the inference returned by a model hosted at an Amazon SageMaker endpoint.

2017/11/29 - 1 new api methods

Changes   Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale.