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SAGEMAKER-EDI

AWS end-to-end managed ML platform.

Definition

SageMaker offers Real-time Endpoints, Serverless Inference, Asynchronous Inference, Batch Transform. Official container images (Inference Containers, Training Containers) for 30+ frameworks. Multi-Model Endpoint for model co-hosting. JumpStart for foundation models. Studio based on JupyterLab.

Origin

Launched by AWS November 2017 ; Studio December 2019 ; SageMaker Unified Studio at re:Invent 2024.

Example in context

An e-commerce deploys its product recommendation model via SageMaker Real-time Endpoint with autoscaling.

Last updated: May 16, 2026