Why SageMaker Studio?
Amazon SageMaker Studio offers a wide choice of purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, deploying, and managing your ML models. You can quickly upload data and build models using your preferred IDE. Streamline ML team collaboration, code efficiently using the AI-powered coding companion, tune and debug models, deploy and manage models in production, and automate workflows—all within a single, unified web-based interface.
How it works
How it works
Benefits of SageMaker Studio
Choice of fully managed IDEs
Purpose-built tools for end-to-end ML development
Browse, tune, evaluate, and deploy FMs
Generative AI-powered ML development experience
Securely run anywhere
Accelerate generative AI development
Build generative AI applications faster with access to a wide range of publicly available FMs, model evaluation tools, IDEs backed by high-performance accelerated computing, and the ability to fine-tune and deploy FMs at scale directly from SageMaker Studio.
Scale and standardize ML workflows
Unify your end-to-end ML development in SageMaker Studio with the most comprehensive ML tools all in one place. SageMaker offers high-performing MLOps tools to help you automate and standardize ML workflows and governance tools to support transparency and auditability across your organization.
Combine big data analytics and ML
SageMaker Studio offers a unified experience to perform all data analytics and ML workflows. Create, browse, and connect to Amazon EMR clusters. Build, test, and run interactive data preparation and analytics applications with Amazon Glue interactive sessions. Monitor and debug Spark jobs using familiar tools such as Spark UI—all right from SageMaker Studio.