Previously limited to one JupyterLab and one Code Editor embedded space, SageMaker Unified Studio projects now enable multiple independently configured code spaces for IAM domains. This allows data scientists to run parallel workloads, such as data transformations and model training, each with custom compute and storage requirements.
Each code space maintains its own persistent Amazon EBS volume, preserving files and session states independently. Users can scale resources per space, pause and resume workstreams, and connect to local IDEs for development, increasing flexibility and collaboration within a single cloud project environment.
Source & further reading
Amazon SageMaker Unified Studio now supports multiple code spaces within projects for IAM domains ↗Source published 2026-04-22. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.