Docs
Task-based guides: rent your first GPU in 5 minutes, connect over the browser terminal, SSH, Jupyter and VS Code, move files, keep installs between runs, checkpoints and resuming, hosting, billing and refunds, troubleshooting.
Renting
- Rent your first GPU in 5 minutes - From an empty account to a running container with a terminal open: sign up, top up, pick a machine, rent, connect, stop.
- Connect: terminal, SSH, Jupyter, VS Code - Every way into your container, when to use which, how to make and add SSH keys, and the exact commands for Windows, macOS and Linux.
- Move files in and out - Upload datasets and download results with scp, rsync, SFTP clients, JupyterLab, direct downloads inside the container, and FairGPU checkpoints.
- Keep installs between runs - Three ways to have everything installed on the next rental, from free to full: the workspace, a setup script, and a saved environment image.
- Run a job and get notified - Batch work without babysitting: job mode, keep-alive containers, the Commands panel, idle auto-stop, the finish alert, and getting results out.
- Checkpoints and resuming - How workspaces, FairGPU cloud checkpoints and downloads protect your progress, what they cost, and how to resume on the same machine or any other.
- Troubleshooting - Connection refused, key rejected, host key changed, stuck in STARTING, out of disk, slow pulls, terminal not available, and other things that go wrong.
Hosting
- Host: earn with your PC - Step by step from download to first payout: install the host app, sign in with a code, set your price, pick an interruption policy, understand idle-only, electricity and payouts.
- Host policies: committed or with notice - What each interruption policy promises renters, what it costs you when something goes wrong, how reclaim-now works, and how it shows on your listing.
Billing & refunds
- Billing and refunds - Per-second billing, minimum charges, extensions, storage and checkpoint prices, the finish alert, and exactly when and how much you are refunded.