Why SageMaker?
Amazon SageMaker 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, 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 supports governance requirements with simplified access control and transparency over your ML projects. In addition, you can build your own FMs, large models that were trained on massive datasets, with purpose-built tools to fine-tune, experiment, retrain, and deploy FMs. SageMaker offers access to hundreds of pretrained models, including publicly available FMs, that you can deploy with just a few clicks.
Benefits of SageMaker
SageMaker pricing and AWS Free Tier
The SageMaker 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 AWS Free Tier offering and cost-effective pricing options, visit the SageMaker pricing page.
Using Amazon SageMaker for generative AI
Amazon SageMaker helps data scientists and ML engineers build FMs from scratch, evaluate and customize FMs with advanced techniques, and deploy FMs with fine-grain controls for generative AI use cases that have stringent requirements on accuracy, latency, and cost.