Amazon SageMaker Studio

A single web-based interface for end-to-end ML development
Get started with SageMaker Studio
Why SageMaker Studio?

Amazon SageMaker Studio offers a wide choice of purpose-built tools to perform all 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.
SageMaker Studio

How it works

How Amazon SageMaker Studio works

How it works

How Amazon SageMaker Studio works

Benefits of SageMaker Studio

Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code – Open Source), and RStudio. Launch your preferred IDE quickly and scale the underlying compute up and down on the fly.
Access the most comprehensive set of tools for each step of ML development, from preparing data to building, training, deploying, and managing ML models. Quickly move between steps to fine-tune your models, replay training experiments, and scale to distributed training directly from JupyterLab, Code Editor, or RStudio on Amazon SageMaker.
Build generative AI applications with access to hundreds of popular publicly available models and over 15 prebuilt solutions through Amazon SageMaker JumpStart. You can access models from top model providers such as AI21 Labs, LightOn, Stability AI, Hugging Face, Alexa, and Meta AI. Then quickly evaluate, compare, and select the best foundation models (FMs) for your use case based on predefined metrics such as accuracy, robustness, and toxicity. Human evaluations can be used for more subjective dimensions such as creativity and style.
Securely accelerate ML development and boost productivity with AI-powered developer tools in the IDEs. Generate, debug, and explain the source code with Amazon CodeWhisperer and conduct security and code quality scans with Amazon CodeGuru.
You can use SageMaker Studio from any device using a web browser. Both code and data are kept within your secure cloud environment with no need to download sensitive ML artifacts to your local machine.