AI Platform Notebooks documentation

Beta

This product or feature is in a pre-release state and might change or have limited support. For more information, see the product launch stages.

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.

Introduction

• Introduction to AI Platform Notebooks

  An introduction to AI Platform Notebooks.

Setup

• 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 dependencies

  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.

Management

• 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.

Using R

• Use R and Python in the same notebook

  Use R and Python in the same notebook.

• Use R with BigQuery

  Use R to work with BigQuery data.

Support

• Troubleshooting notebooks

  Troubleshooting common problems.

• Getting support

  Get assistance with AI Platform Notebooks issues.

• Billing questions

  Get answers to common billing questions.

Resources

• Pricing

  Learn about AI Platform Notebooks pricing.