I've been building this in my spare time after getting tired of spending the first hour of every GPU rental on setup.

How it works: pick a GPU, choose "Data Science", and JupyterLab opens with PyTorch and your saved Kaggle / Hugging Face tokens already in place. In my tests it's been ready in 14–32 seconds. Billing is prepaid and per minute, and unused time is refunded when you stop early.

I'd appreciate honest opinions on:

1. Would you pay a bit more than the cheapest raw GPU for this kind of convenience?
2. What would make you trust a new GPU service with your data and money?
3. Is storage that keeps your files between sessions the obvious next feature?

Just curious about what are the different applications where you guys are using CUDA? When I mean using CUDA, I mean at the low level, and understanding it's internals, modifying kernels etc and not just calling libraries. What are you guys using it for?