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Amazon SageMaker

Build, Train, and Deploy ML Models across AWS infrastructure

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Amazon SageMaker - 2026 Pricing, Features, Reviews & Alternatives

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Last updated: March 2026

Amazon SageMaker overview

What is Amazon SageMaker?

Amazon SageMaker is an AWS solution that allows data scientists and developers to prepare, train, build and deploy high-quality machine learning (ML). Amazon SageMaker empowers users to develop sophisticated models that leverage your domain knowledge with a broad collection of algorithms and prepackaged ML libraries.

Data scientists and business analysts can easily prepare and label datasets, build ML models, track iterations to ML models, tune ML models based on parameter configurations, and deploy multiple ML models at one time using SageMaker.

Amazon SageMaker range of solutions includes SageMaker Data Wrangler, SageMaker Clarify, SageMaker Ground Truth, SageMaker Processing, SageMaker Canvas, SageMaker Studio Lab, SageMaker Jumpstart, SageMaker Autopilot, SageMaker Experiments, SageMaker Debugger, SageMaker Training Compiler, SageMaker Model Monitor, SageMaker Inference Recommender, SageMaker Batch Transform, SageMaker Neo, and SageMaker Edge Manager.

Starting price