Stay organized with collections Save and categorize content based on your preferences.

Access Cloud Storage buckets and files from within JupyterLab

This page shows you how to browse files that are stored in Cloud Storage from within the JupyterLab interface of your Vertex AI Workbench managed notebooks instance. You can also open and edit files that are compatible with JupyterLab, such as text files and notebook (ipynb) files.

Overview

Vertex AI Workbench managed notebooks instances include a Cloud Storage integration that lets you browse buckets and work with compatible files located in Cloud Storage from within the JupyterLab interface.

The Cloud Storage integration lets you access all of the Cloud Storage buckets and their files that you have access to within the same project as your managed notebooks instance.

Before you begin

This guide requires you to have access to at least one Cloud Storage bucket in the same project as your managed notebooks instance.

  1. If you need to create a Cloud Storage bucket, see Create buckets.

  2. If you haven't already, create a managed notebooks instance in the same project as your Cloud Storage bucket.

Open JupyterLab

  1. In the Google Cloud console, go to the Managed notebooks page.

    Go to Managed notebooks

  2. Next to your managed notebooks instance's name, click Open JupyterLab.

    Your managed notebooks instance opens JupyterLab.

Access the Cloud Storage buckets and files

To use the Cloud Storage integration to browse the buckets that you have access to, complete the following steps:

  1. In JupyterLab, click the  Browse GCS button.

    The Cloud Storage integration lists the available buckets.

  2. Double-click a bucket to view the bucket's contents.

  3. Double-click to open folders within the bucket.

  4. Double-click to open a compatible file. You can save files by using the File menu in JupyterLab.

What's next