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.
Setup
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Before you begin
Select a Google Cloud Platform (GCP) project, set up billing, and enable the Compute Engine API.
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Create a new notebook instance
Create a new notebook instance.
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Install dependencies
Install software that your notebook is dependent upon.
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Create a new notebook instance using a custom container
Use your own container with AI Platform Notebooks.
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Use a notebook instance within a service perimeter
Use VPC Service Controls to set up a service perimeter for your AI Platform Notebooks instance.
Management
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Save a notebook to GitHub
Save a notebook to GitHub.
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Shut down a notebook instance
Shut down a notebook instance.
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Manage hardware accelerators for a notebook instance
Manage hardware accelerators for a notebook instance.
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Use SSH to access JupyterLab
Use SSH to access your JupyterLab instance.
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AI Platform Notebooks Cloud IAM roles
Learn about the AI Platform Notebooks Cloud IAM roles.
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Manage access using Cloud IAM roles
Grant and revoke access to AI Platform Notebooks resources.