This page describes the main features of AI Platform Notebooks and provides examples of how you can use it in AI Platform (Unified).
Overview of AI Platform Notebooks
AI Platform Notebooks enables you to create and manage virtual machine (VM) instances that are pre-packaged with JupyterLab.
AI Platform Notebooks instances have a pre-installed suite of deep learning packages, including support for the TensorFlow and PyTorch frameworks. You can configure either CPU-only or GPU-enabled instances, to best suit your needs.
Your notebook instances are protected by Google Cloud authentication and authorization, and are available using a notebook instance URL. Notebook instances also integrate with GitHub so that you can easily sync your notebook with a GitHub repository.
See the AI Platform Notebooks documentation to learn more about the AI Platform Notebooks product.
Considerations for using AI Platform Notebooks with AI Platform (Unified)
AI Platform Notebooks is a separate product from AI Platform (Unified) that is accessible from both AI Platform (Unified) and AI Platform (Classic). The AI Platform Notebooks instances you create are available to use with both products.
In Cloud Console, you can view all of your AI Platform Notebooks instances from within both AI Platform (Unified) and AI Platform (Classic). However, the code that you run inside an AI Platform Notebooks instance determines where a job, model, or other resource is stored. In other words, AI Platform (Unified) API requests create resources in AI Platform (Unified), and AI Platform (Classic) API requests create resources in AI Platform (Classic).
Using AI Platform Notebooks
You can use an AI Platform Notebooks instance as a part of your work in AI Platform (Unified). Use a notebook to perform feature engineering and data preparation on a dataset, build and iterate on a custom training model, or use the AI Platform (Unified) Client Library for complex model creation, and then store these resources for use in AI Platform (Unified).
You create and manage AI Platform Notebooks instances on the Notebooks instances page of the Google Cloud Console. You can also go to notebook.new to go directly to the Advanced options instance creation dialog box.
Read Introduction to AI Platform Notebooks to learn more about the product's features and capabilities.
To get started using AI Platform Notebooks, create a new instance.