AI Platform Notebooks makes it easy to manage JupyterLab instances through a protected, publicly available notebook instance URL. A JupyterLab instance is a Deep Learning virtual machine instance with the latest machine learning and data science libraries pre-installed.
Before you begin
Select a Google Cloud Platform (GCP) project, set up billing, and enable the Compute Engine API.
Create a new notebook instance
Create a new notebook instance.
Install software that your notebook is dependent upon.
Create a new notebook instance using a custom container
Use your own container with AI Platform Notebooks.
Use a notebook instance within a service perimeter
Use VPC Service Controls to set up a service perimeter for your AI Platform Notebooks instance.
Save a notebook to GitHub
Save a notebook to GitHub.
Shut down a notebook instance
Shut down a notebook instance.
Manage hardware accelerators for a notebook instance
Manage hardware accelerators for a notebook instance.
Use SSH to access JupyterLab
Use SSH to access your JupyterLab instance.
AI Platform Notebooks Cloud IAM roles
Learn about the AI Platform Notebooks Cloud IAM roles.
Manage access using Cloud IAM roles
Grant and revoke access to AI Platform Notebooks resources.