Amazon SageMaker
Build, train, and deploy ML models at scale—faster, easier, and more securely.
Amazon SageMaker is a powerful, fully managed machine learning (ML) platform from AWS that enables developers and data scientists to build, train, and deploy high-quality ML and generative AI models quickly and cost-effectively. Designed to eliminate the heavy lifting from each step of the ML workflow, SageMaker empowers teams to operationalize AI with speed, scalability, and control.
Key Features:
- Unified Studio for collaborative ML and data science workflows
- Fully managed model building, training, tuning, and deployment
- Generative AI support with Amazon Bedrock integration
- Lakehouse architecture to unify data across lakes and warehouses
- Built-in governance and security for enterprise compliance
- MLOps tools for monitoring, automation, and CI/CD
- Access to pre-trained models via SageMaker JumpStart
- Scalable infrastructure to support any data size or complexity
Built on a secure and governed lakehouse architecture, SageMaker allows organizations to unify data across silos and ensure compliance without sacrificing performance. Whether you're running SQL analytics, processing massive datasets, or building custom AI solutions, SageMaker's scalable infrastructure and intuitive interface make it the go-to platform for modern AI development.
Amazon SageMaker brings together everything you need to unlock the value of AI—at enterprise scale.
For more information, visit AmazonSageMaker.
