●Deploy GPU instances on demand●Per-second billing — pay only for what you use●RTX 4090, L40S, and A100 GPUs available●No subscriptions — no commitments●Connect from any device, anywhere●Instant provisioning — up and running in seconds●Deploy GPU instances on demand●Per-second billing — pay only for what you use●RTX 4090, L40S, and A100 GPUs available●No subscriptions — no commitments●Connect from any device, anywhere●Instant provisioning — up and running in seconds●Deploy GPU instances on demand●Per-second billing — pay only for what you use●RTX 4090, L40S, and A100 GPUs available●No subscriptions — no commitments●Connect from any device, anywhere●Instant provisioning — up and running in seconds
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A full GPU machine in 4 steps.

01

Create an account and add credits

Sign up with email or Google. Add credits from $1. Credits never expire.

02

Choose your GPU plan

Select a GPU tier based on your workload. Not sure? Start with Standard (RTX 4090).

03

Connect over SSH

Machine ready in under 60 seconds. Copy your SSH command or open the browser-based Jupyter studio. Full root access on Ubuntu 22.04 + CUDA.

04

Stop when you’re done

Hit Stop in your dashboard. Billing stops instantly. Your machine is preserved for 24 hours.

Connection Methods

MethodBest ForLatencySetup
SSHTerminal, remote developmentInstantZero — any SSH client
Jupyter studioNotebooks, data scienceInstantZero — opens in browser
VS Code RemoteCoding, debuggingInstantRemote-SSH extension
Web desktop (noVNC)Lightweight GUI appsModerateZero — opens in browser

What You Need

  • ✓Any device — Windows, Mac, Linux, iPad, Android
  • ✓Internet — 5 Mbps+ for SSH; more for a graphical session
  • ✓SSH client or terminal — Built into Mac/Linux; free on Windows
  • ✓TurboGPU account — With at least $1 credit
Get Started