Quickstart: Creating an Instance From Cloud Marketplace

This page shows you how to create a new instance of a AI Platform Deep Learning VM Image using Google Cloud Marketplace.

Before you begin

1. Sign in to your Google Account.

   If you don't already have one, sign up for a new account.

2. In the Google Cloud Console, on the project selector page, select or create a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   Go to the project selector page

3. Make sure that billing is enabled for your Cloud project. Learn how to confirm that billing is enabled for your project.

Note: This quickstart assumes that all settings will remain at their defaults. For more information about the VM options available to you, see Choose an Image.

Create a new instance

1. Go to the Deep Learning VM Cloud Marketplace page in the Google Cloud Console.

   Go to the Deep Learning VM Cloud Marketplace page

2. Click Launch on Compute Engine. If you see a project selection window, choose the project in which to create the instance. If this is the first time you've launched Compute Engine, you must wait for the initial API configuration process to complete.
3. On the New Deep Learning VM deployment page, first enter a Deployment name. This will be the root of your virtual machine name. Compute Engine appends -vm to this name when naming your instance.
4. Choose a Zone, a Machine type, and an ML Framework. For this quickstart, you can leave all settings as they are or change them as needed.
5. (Optional) Check the Beta. Enable access via URL instead of SSH checkbox. Enabling this Beta feature allows you to access your JupyterLab instance using a URL. Anyone who is in the Editor or Owner role in your GCP project can access this URL. Currently, this feature only works in the United States.
6. Scroll to the bottom of the page, read the GCP Marketplace Terms of Service, and if you accept the terms, select the checkbox.
7. Click Deploy.

You've just created your first instance of a Deep Learning VM. After the instance is created, you're taken to the Deployment Manager where you can manage your AI Platform Deep Learning VM Image and other deployments.

Access your new instance

Once you've created your Deep Learning VM instance, it starts automatically. To access it:

1. Go to the VM Instances page in the Google Cloud Console.

   Go to the VM Instances page

2. Under the Name column, click the name of your virtual machine instance.
3. In the Remote Access section, click the first drop-down list and choose how you'd like to access the instance. You can choose to interact with a graphical user interface or on the command line.

   

Compute Engine will propagate your SSH keys and create your user. For more information, see Connecting to Instances.

Stop the instance

1. Go to the VM Instances page in the Google Cloud Console.

   Go to the VM Instances page

2. Select the checkbox next to the Deep Learning VM instance.
3. Click Stop.

Start the instance

After the instance is created, Compute Engine starts it. To start the instance manually when it's stopped:

1. Go to the VM Instances page in the Google Cloud Console.

   Go to the VM Instances page

2. Select the checkbox next to the Deep Learning VM instance.
3. Click Start.

Clean up

To avoid incurring charges to your Google Cloud account for the resources used in this quickstart, follow these steps.

1. Go to the Deployments page in the Google Cloud Console.

   Go to the Deployments page

2. Select the checkbox next to the Deep Learning VM deployment.
3. Click Delete.

What's next

• Read a more in-depth description of this process in Creating a Deep Learning VM Instance From the Google Cloud Marketplace.
• Learn more about Images, Image Families, and Instances.