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After deploying the JupyterLab application on a Managed Service for Kubernetes® cluster, you can connect to it in the web console.

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Prerequisites

  1. Make sure you are in a group that has at least the editor role within your tenant or project; for example, the default editors group. You can check this in the Administration → IAM section of the web console.
  2. Download the Nebius AI Cloud certificate and install it according to your operating system instructions. You only need the certificate in the following cases:
    • You deployed the application before June 27, 2025, in a project located in the eu-north1 or eu-west1 regions.
    • You deployed the application before June 30, 2025, in a project located in the us-central1 region.
    You can find the deployment date on your application’s page.

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How to connect

  1. In the web console, go to  Applications.
  2. Under Installed applications, click on your application.
  3. Under Artifacts, copy the URL from Public endpoint.
  4. Go to the URL in your web browser.
  5. To log in, enter the credentials from the application creation form: the username that you specified and the password that the form generated.

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What’s next

After connecting to the application, you can work with notebooks.
“Jupyter” and the Jupyter logos are trademarks or registered trademarks of LF Charities, used by Nebius B.V. with permission.