Create an instance by using the Google Cloud console

Create an instance by using the Google Cloud console

Learn how to create a Vertex AI Workbench instance and open JupyterLab by using the Google Cloud console. This page also describes how to stop, start, reset, or delete an instance.

Before you begin

1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.

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 project selector

3. Make sure that billing is enabled for your Google Cloud project.

4. Enable the Notebooks API.

   Enable the API

5. 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 project selector

6. Make sure that billing is enabled for your Google Cloud project.

7. Enable the Notebooks API.

   Enable the API

Create an instance

1. In the Google Cloud console, go to the Instances page.

   Go to Instances

2. Click  Create new.

3. For Name, enter my-instance.

4. Click Create.

When you finish the tasks that are described in this document, you can avoid continued billing by deleting the resources that you created. For more information, see Clean up.

Open JupyterLab

After you create your instance, Vertex AI Workbench automatically starts the instance. When the instance is ready to use, Vertex AI Workbench activates an Open JupyterLab link.

Next to your instance's name, click Open JupyterLab.

Your Vertex AI Workbench instance opens JupyterLab.

Open a new notebook file

1. In JupyterLab, select File > New > Notebook.

2. In the Select kernel dialog, select Python 3, and then click Select.

   Your new notebook file opens.

Stop your instance

1. In the Google Cloud console, go to the Instances page.

   Go to Instances

2. Select the instance that you want to stop.

3. Click  Stop.

Start your instance

1. In the Google Cloud console, go to the Instances page.

   Go to Instances

2. Select the instance that you want to start.

3. Click  Start.

Reset your instance

Resetting an instance forcibly wipes the memory contents of your instance and resets the instance to its initial state. To learn more about how resetting an instance works, see Resetting an instance.

1. In the Google Cloud console, go to the Instances page.

   Go to Instances

2. Select the instance that you want to reset.

3. Click Reset, and then click Reset to confirm.

Clean up

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

If you created a new project to learn about Vertex AI Workbench instances and you no longer need the project, then delete the project.

If you used an existing Google Cloud project, then delete the resources you created to avoid incurring charges to your account:

1. In the Google Cloud console, go to the Instances page.

   Go to Instances

2. Select the row containing the instance that you want to delete.

3. Click  Delete. (Depending on the size of your window, the Delete button might be in the  options menu.)

4. To confirm, click Confirm.

What's next

1. Read the Introduction to Vertex AI Workbench instances.
2. To use a Jupyter Notebook to help you get started using Vertex AI and other Google Cloud services, see Vertex AI Jupyter Notebook tutorials.