# 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: 

1. Sign in to Amazon SageMaker Unified Studio using the link that your administrator gave you.

1. From the main menu, choose **Build**.

1. 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](https://docs.aws.amazon.com/sagemaker/latest/dg/studio-updated-jl.html) in the *Amazon SageMaker AI Developer Guide*.