AI Platform Notebooks overview

AI Platform Notebooks enables you to create and manage virtual machine (VM) instances that are pre-packaged with JupyterLab. AI Platform Notebooks instances support the TensorFlow and PyTorch frameworks and have a pre-installed suite of Python and R deep learning packages. You can configure either CPU-only or GPU-enabled instances to optimize your workflow.

AI Platform Notebooks saves you the difficulty of creating and configuring a Deep Learning virtual machine by providing verified, optimized, and tested images for your chosen framework.

Your notebook instances are protected by Google Cloud Platform (GCP) 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.

Pre-installed software

You can configure an AI Platform Notebooks instance to include the following:

  • Python versions 2.7 and 3.*

  • Python core packages:

    • numpy
    • sklearn
    • scipy
    • pandas
    • nltk
    • pillow
    • many others
  • R version 3.5.3

  • R core packages:

    • xgboost
    • ggplot2
    • caret
    • nnet
    • rpy2 (an R package for accessing R in Python notebooks)
    • randomForest
    • many others
  • JupyterLab and Notebook environments for quick prototyping

  • Nvidia packages with the latest Nvidia driver for GPU-enabled instances:

    • CUDA 9.* and 10.*
    • CuDNN 7.*
    • NCCL 2.*


There is no charge for using AI Platform Notebooks. However, you do pay for any Google Cloud Platform resources you use with AI Platform Notebooks. For example:

  • Compute resources: You incur costs from the time that you create an AI Platform Notebooks instance until you delete the AI Platform Notebooks instance. The default AI Platform Notebooks machine type is n1-standard-4, but you can choose a different machine type. You are also charged for a 100 GB Standard Persistent Disk, which is used as a boot disk (see Storage resources). The boot disk is deleted when the VM instance is deleted

  • Data Analysis Services: You incur BigQuery costs when you issue SQL queries within AI Platform Notebooks (see BigQuery Pricing). Also, when you use AI Platform, you might incur AI Platform or Cloud Dataflow charges.

  • Other resources: You may incur costs for other API requests you make within the AI Platform Notebooks environment. These costs will vary by API.

See the Google Cloud Platform Pricing Calculator for more information.

What's next

You can get started with AI Platform Notebooks by walking through our How-to guides, which provide instructions on how to create and manage notebook instances.

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