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.
What you’ll need
A Hivenet account with access to Compute
An active Compute balance
A web browser (Firefox, Chrome, Edge, or Safari recommended)
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.
Tip: 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.
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.