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Sometimes, you just want a fast way to run Python code or data science notebooks without fiddling with the command line or SSH keys. With Compute, you can launch a Jupyter notebook straight from your browser and start working right away. This is handy for anyone who prefers a graphical interface or needs to get up and running quickly. Below, you’ll find a simple walkthrough on how to spin up a Jupyter notebook with Compute, open it in your browser, and even use the built-in terminal for command-line tasks. There’s also a video tutorial at the end, so you can follow along visually.

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What you’ll need

  • A Hivenet account with access to Compute
  • An active Compute balance
  • A web browser (Firefox, Chrome, Edge, or Safari recommended)

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How to launch and access a Jupyter notebook

1

Create your Compute instance

  • Sign in to your Hivenet account and go to the Compute dashboard.
  • Click Create new instance.
  • Select your desired resources (GPU, CPU, RAM, and storage).
    ​_(You can start small—just make sure it fits your workload.)_
  • Under Connectivity, toggle on Jupyter Lab Notebook.
  • Finalize your settings and launch the instance.
2

Find the Notebook endpoint

  • Once your instance is running, look for the three-dot menu next to it.
  • Select Connectivity options.
  • Copy the Notebook endpoint URL.
3

Open the notebook in your browser

  • Paste the Notebook endpoint URL into a new browser tab.
  • Your browser may show a security warning because of a self-signed certificate. This is normal—just confirm you want to proceed.
Most browsers let you click “Advanced” and then “Proceed anyway.”
4

Start working in Jupyter

  • The Jupyter notebook interface will load in your browser.
  • Create or upload a new notebook and start coding as usual.
5

(Bonus) Use the built-in terminal

  • In Jupyter, you can open a Terminal tab to run command-line tasks. No need for SSH!
  • This is perfect for quick file management or package installs right from your browser.

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What’s next?

  • Remember to shut down your kernels and stop or terminate your instance when you’re done to avoid extra charges.
  • For more tips on using Compute, see our Getting Started with Compute guide.
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