Create a new notebook instance

An AI Platform Notebooks (JupyterLab) instance is a Deep Learning virtual machine instance with the latest machine learning and data science libraries pre-installed, with the option to include Nvidia GPUs for hardware acceleration.

Before you begin

Follow the steps in Before you begin to create a Google Cloud Platform (GCP) project and enable the Compute Engine API.

Create a new notebook with default options

To create an AI Platform Notebooks instance with default options, follow these steps:

  1. Go to the AI Platform Notebooks page in the Google Cloud Platform Console.

    Go to the AI Platform Notebooks page

  2. Select +New Instance, select an instance type (for example, TensorFlow 1.x), and then choose whether to include a GPU.

    Create new AI Platform Notebooks instance

  3. If you chose to include a GPU, you must select the option to Install NVIDIA GPU driver automatically on first startup (this is a legal requirement). You can adjust the number of GPUs later if you need to. For information on adjusting the number of GPUs, see Manage hardware accelerators for a notebook.

  4. Click Create.

  5. AI Platform Notebooks creates a new instance for you, based on your selected option, with a default name, for example, tensorflow-1550869641175.

    List of notebooks

Create a new notebook and specify your instance options

If you prefer to create an instance with options other than those provided by the default instance types, you can create a new instance and specify your preferred options.

To create an AI Platform Notebooks instance and specify the options for your instance, follow these steps:

  1. Go to the AI Platform Notebooks page in the Google Cloud Platform Console.

    Go to the AI Platform Notebooks page

  2. Select +New Instance, and then select Customize instance.

    Create new AI Platform Notebooks instance with options

  3. On the New notebook instance page, provide the following information for your new instance:

    • Instance name - provide a name for your new instance.
    • Region - select a region for the new instance. Select the region that is geographically closest to you for best network performance.
    • Zone - select a zone within the region that you selected.
    • ML framework - select the Machine Learning framework to use for your new AI Platform Notebooks instance.
    • Machine type - select the number of CPUs and amount of RAM for your new instance. AI Platform Notebooks provides monthly cost estimates for each machine type that you select.
    • GPUs - select the GPU type and Number of GPUs for your new instance. For information about the different GPUS, see GPUs on Compute Engine.

      Select the option to Install NVIDIA GPU driver automatically on first startup (this is a legal requirement).

      You can modify the GPU type and number of GPUs for your instance after it is created. For more information, see Manage hardware accelerators for a notebook.

    • Boot disk - select the Boot disk type and Boot disk size in GB for your new instance.

    Specify instance options

  4. Click Create.

  5. AI Platform Notebooks creates a new instance for you with the options that you selected and the name that you provided.

    Notebook created

Open a notebook

After you have created your AI Platform Notebooks instance, anyone that has editor permissions to your GCP project can access the notebook.

To open a notebook:

  1. Go to the AI Platform Notebooks page in the Google Cloud Platform Console.

    Go to the AI Platform Notebooks page

  2. Select Open JupyterLab for the instance that you want to open.

    Open JupyterLab

  3. AI Platform Notebooks directs you to a URL for your notebook instance. For example, https://18390f97483e752e-dot-datalab-vm-us-west1.googleusercontent.com/lab?.

Troubleshooting

If you encounter a problem when you create a notebook, see Troubleshooting notebooks for help with common issues.

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