AWS – Amazon SageMaker Notebook Instances now support JupyterLab 4 notebooks

We’re excited to announce the availability of JupyterLab 4 on Amazon SageMaker Notebook Instances, providing you with a powerful and modern interactive development environment (IDE) for your data science and machine learning (ML) workflows.

With this update, you can now leverage the latest features and improvements in JupyterLab 4, including faster performance and notebook windowing, making working with large notebooks much more efficient. The Extension Manager now includes both prebuilt Python extensions and extensions from PyPI, making it easier to discover and install the tools you need. The Search and Replace functionality has been improved with new features, including highlighting matches in rendered Markdown cells, searching in the current selection, and regular expression support for replacements. By providing JupyterLab 4 on Amazon SageMaker Notebook Instances, we’re empowering you with a cutting-edge development environment to boost your productivity and efficiency when building ML models and exploring data.

JupyterLab 4 notebooks are available in all commercial AWS regions where SageMaker Notebook Instance is available. Visit developer guides for instructions on setting up and using SageMaker notebook instances.

Read More for the details.