Serverless Jupyter Lab with GPUs and persistent storage
We get asked whether we support Notebooks on Unweave all the time. So, we put together a serverless Jupyter Lab Portal built on top of Unweave. You can choose from 5 different GPUs or use CPU only. The lab comes with an `uwstore` folder at the root of the repository. Any files you add there will be persisted across multiple sessions. We've pre-loaded all labs with a set of commonly used ML dependencies. If you'd like to add additional dependencies, you can install them directly in the Jupyter Lab and save them to a `requirements.txt` or `environment.yml` file. Unweave will automatically…
In plain words
Serverless Jupyter Lab with GPUs and persistent storage is a Jupyter notebook environment built on Unweave for data scientists and machine learning developers. Users can select from five GPU options or work with CPU only, with common ML libraries pre-installed. Files saved to the `uwstore` folder persist across sessions, and custom dependencies can be added via requirements.txt or environment.yml files. Billing is charged by the minute.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We get asked whether we support Notebooks on Unweave all the time. So, we put together a serverless Jupyter Lab Portal built on top of Unweave. You can choose from 5 different GPUs or use CPU only. The lab comes with an `uwstore` folder at the root of the repository. Any files you add there will be persisted across multiple sessions. We've pre-loaded all labs with a set of commonly used ML dependencies. If you'd like to add additional dependencies, you can install them directly in the Jupyter Lab and save them to a `requirements.txt` or `environment.yml` file. Unweave will automatically reinstall these dependencies the next time you start a lab. Billing is by the minute and cheaper than AWS and GCP :) We'd love to hear what you think! As they say in Germany: "Viel Spaß" <3
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Launched alongside, November 2022
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I made a thing! In 2014, I was holding a stack of iPhones and thought to myself: "Hey, if I had each phone display a playing card, I could click a button and they'd shuffle themselves" I pared that idea all the way down to this: trading cards made of e-ink displays. Right now, each card costs me about $20 each, but with only a bit more scale, I think I can get that down to $10. In doing this project, I learned how to design electronics and circuit boards. I learned Rust and wrote my first driver, I upped my CAD skills, 3D printed, and did my first resin casting. I generated the images on the…
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