Amazon SageMaker
Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows
Business analysts
Make ML predictions using a visual interface with SageMaker Canvas.
Data scientists
Prepare data and build, train, and deploy models with SageMaker Studio.
Benefits
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.
High-performance, low-cost ML at scale
Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.
10x
increase in team productivity
100B+
predictions per month
54%
lower TCO
40%
Up to 50%
<10ms
22
Amazon SageMaker supports the leading ML frameworks, toolkits, and programming languages
Amazon SageMaker customers
Amazon SageMaker is used by tens of thousands of customers across a wide range of industries.
