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To work with JupyterLab notebooks in Nebius AI Cloud, you can deploy the JupyterLab application in the web console.

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Prerequisites

Make sure you are in a group that has at least the editor role within your tenant; for example, the default editors group. You can check this in the Administration → IAM section of the web console.

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How to deploy

  1. In the web console, go to https://mintcdn.com/nebius-ai-cloud/1Ha0sWR6e1mnIaHS/_assets/sidebar/applications.svg?fit=max&auto=format&n=1Ha0sWR6e1mnIaHS&q=85&s=06329add2f560a2a83d6c136ca5dfc9b Applications.
  2. Find JupyterLab by searching for it or browsing by category, then open the application page.
  3. Deploy the application as a container over a Compute virtual machine. You create the VM from the application page, and the JupyterLab container image is pre-selected:
    1. Click Deploy on VM. The creation page for a container over VM opens.
    2. Select the project and specify the VM name.
    3. Configure computing resources:
      • Select With GPU or Without GPU, then choose a platform and preset. Available options depend on the region.
      • In Local storage, specify the disk size.
    4. In Access, add a username and an SSH key. Copy and save any generated password or token shown on the page.
    5. (Optional) In advanced settings, configure the network, subnet, public or private IP address, or a service account.
    6. Click Create container over VM.
    7. Wait until the VM is running. It takes about five minutes.

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What’s next

When the application is running, you can connect to it.
“Jupyter” and the Jupyter logos are trademarks or registered trademarks of LF Charities, used by Nebius B.V. with permission.