Amazon SageMaker AI
Build, train, and deploy ML models—including FMs—for any use case with fully managed infrastructure, tools, and workflowsWhy 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
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.