Amazon SageMaker AI
Build, train, and deploy AI models for any use case with fully managed infrastructure, tools, and workflows
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 AI model development for any use case. With SageMaker AI, you can build, train and deploy AI 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 AI 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
Choice of model development tools
Help more people innovate with AI through a choice of tools—IDEs for data scientists and no-code interface for business analysts.
Fully managed, scalable infrastructure
Build your own AI models, including FMs, to power generative AI applications with integrated purpose-built tools and high-performance, cost-effective infrastructure.
Repeatable and responsible ML workflows
Human-in-the-loop
Harness the power of human feedback across the AI model lifecycle to improve the accuracy and relevancy of FMs with human-in-the-loop capabilities.
Generative AI assistance
Get assistance throughout the entire AI model 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 AI model developers, data scientists, and ML engineers build FMs from scratch, evaluate and customize FMs with advanced techniques, and deploy FMs with fine-grained controls for AI use cases that have stringent requirements on accuracy, latency, and cost.
Build FMs from scratch
Customize FMs with advanced techniques
Deploy FMs for inference
New Amazon SageMaker AI innovations continue to transform AI model development
Introducing new SageMaker AI capabilities that help teams boost productivity, resolve issues faster, and lower the cost of building and training AI models.
Support for the leading AI model development frameworks, toolkits, and programming languages








High-performance, low-cost model development at scale
1.5 trillion+
inference requests per month40%
reduction in data labeling costs<10ms
inference overhead latencyGet started with SageMaker AI
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