Make ML more accessible
Enable more people to innovate with ML through a choice of tools—integrated development environments for data scientists and no-code visual interfaces for business analysts.
Prepare data at scale
Access, label, and process large amounts of structured data (tabular data) and unstructured data (photos, video, and audio) for ML.
Accelerate ML development
Reduce training time from hours to minutes with optimized infrastructure. Boost team productivity up to 10 times with purpose-built tools.
Streamline the ML lifecycle
Automate and standardize MLOps practices across your organization to build, train, deploy, and manage models at scale.
Amazon SageMaker supports the leading machine learning frameworks, toolkits, and programming languages
Amazon SageMaker customers
Amazon SageMaker is used by tens of thousands of customers across a wide range of industries.