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Amazon SageMaker AI

Learn about Amazon SageMaker Unified Studio (preview)

Amazon SageMaker AI

Build, train, and deploy ML models—including FMs—for any use case with fully managed infrastructure, tools, and workflows

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Why SageMaker AI?

Amazon SageMaker AI is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case. With SageMaker AI, you can build, train and deploy ML models at scale using tools like notebooks, debuggers, profilers, pipelines, MLOps, and more—all in one integrated development environment (IDE). SageMaker AI supports governance requirements with simplified access control and transparency over your ML projects. In addition, you can build your own foundation models (FMs), large models that were trained on massive datasets, with purpose-built tools to fine-tune, experiment, retrain, and deploy FMs. SageMaker AI also offers access to hundreds of pretrained models, including publicly available FMs, that you can deploy in a few quick steps.

Benefits of SageMaker AI

Help more people innovate with ML through a choice of tools—IDEs for data scientists and no-code interface for business analysts.
Build your own ML models, including FMs, to power generative AI applications with integrated purpose-built tools and high-performance, cost-effective infrastructure.
Automate and standardize MLOps practices and governance across your organization to support transparency and auditability.
Harness the power of human feedback across the ML lifecycle to improve the accuracy and relevancy of FMs with human-in-the-loop capabilities.
Get assistance throughout the entire ML development journey from data preparation and model training, to model deployment. Amazon Q Developer can generate code suggestions, answer your questions, and offer troubleshooting assistance when you encounter errors.

SageMaker AI pricing and AWS Free Tier

The SageMaker AI AWS Free Tier offers a 2-month free trial that provides 250 hours per month of t2.medium or t3.medium notebook usage, 50 hours per month of m4.xlarge or m5.xlarge for training, and 125 hours per month of m4.xlarge or m5.xlarge for hosting. To learn more about the SageMaker AI AWS Free Tier offering and cost-effective pricing options, visit SageMaker AI pricing.

  

Using SageMaker AI for generative AI

SageMaker AI helps data scientists and ML engineers build FMs from scratch, evaluate and customize FMs with advanced techniques, and deploy FMs with fine-grained controls for generative AI use cases that have stringent requirements on accuracy, latency, and cost.

  

Build FMs from scratch

SageMaker AI offers tools to pretrain FMs from scratch so they can be used internally or offered to other businesses for generative AI applications.

Customize FMs with advanced techniques

SageMaker AI provides access to hundreds of publicly available FMs and tools to evaluate and fully customize models for your specific use case and data.

Deploy FMs for inference

SageMaker AI makes it easy to deploy FMs to make inference requests at the best price performance for any use case.

High-performance, low-cost ML at scale

1.5 trillion+

inference requests per month

40%

reduction in data labeling costs

<10ms

inference overhead latency