Amazon SageMaker Unified Studio is in preview release and is subject to change.
Build models in JupyterLab
Use the JupyterLab space within Amazon SageMaker Unified Studio to run JupyterLab applications. A JupyterLab space is a private or shared space that manages the storage and compute resources needed to run the JupyterLab application.
The JupyterLab application is a web-based interactive development environment (IDE) for notebooks, code, and data. Use the JupyterLab application's flexible and extensive interface to configure and arrange machine learning (ML) workflows.
Your project contains a configured JupyterLab space.
To open the JupyterLab space in Amazon SageMaker Unified Studio, follow these steps:
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Sign in to Amazon SageMaker Unified Studio using the link that your administrator gave you.
From the main menu, choose Build.
Under IDE & Applications, choose JupyterLab.
Amazon SageMaker Unified Studio opens the JupyterLab space associated with your project. Choose Configure space to tailor the configuration to your needs.
For more information about using JupyterLab, see SageMaker JupyterLab in the Amazon SageMaker AI Developer Guide.
