How it works
A full GPU machine in 4 steps
01
Create an account and add credits
Sign up with your email address. Add credits from $1. Credits don't expire while your account is open.
02
Choose your GPU plan
Select a GPU tier based on your workload. Not sure? Start with Standard (RTX 4090).
03
Connect over SSH
Once the machine has booted (usually a few minutes), copy your SSH command or open the browser-based Jupyter studio. Root access in a Linux (Ubuntu) container with CUDA and PyTorch.
04
Stop when you’re done
Hit Stop in your dashboard and charging stops. Your machine is preserved for 24 hours.
Connection Methods
| Method | Best For | Latency | Setup |
|---|---|---|---|
| SSH | Terminal, remote development | Instant | Zero — any SSH client |
| Jupyter studio | Notebooks, data science | Instant | Zero — opens in browser |
| VS Code Remote | Coding, debugging | Instant | Remote-SSH extension |
What You Need
- ✓Any device — Windows, Mac, Linux, iPad, Android
- ✓Internet — 5 Mbps+ for SSH; 25 Mbps for the Jupyter studio
- ✓SSH client or terminal — Built into Mac/Linux; free on Windows
- ✓TurboGPU account — With at least $1 credit