Speed up delivery of ML workloads using Code Editor in Amazon SageMaker Unified Studio
Machine Learning Blog
AWS has announced new features for Amazon SageMaker Unified Studio, introducing Code Editor and multiple spaces support to enhance machine learning workflow productivity:
- Code Editor is based on Visual Studio Code Open Source, offering a powerful IDE for ML development
- Supports thousands of extensions from Open VSX extension gallery
- Provides fully managed infrastructure with seamless resource scaling
- Preconfigured with SageMaker Distribution and popular ML frameworks
- Includes Amazon Q Developer for generative AI code assistance
- Allows multiple spaces per user, enabling parallel workstream management
The new features aim to help data scientists and developers speed up ML workload delivery by providing a familiar, extensible development environment with advanced debugging and collaboration tools.
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