Launch your first GPU instance
Go to Dashboard → Deploy, choose a GPU, select an available machine, pick a template, review the hourly rate, and deploy. The Instances page updates automatically while the container starts.
Connect over SSH
Add your public SSH key in Dashboard → SSH Keys. After your instance is running, copy the command from the Instances table.
ssh pod-<instance-id>@ssh.gputw.ai -p 2222Open Jupyter or a Web UI
Use the Web UI button in the Instances table. GPUtw mints a short-lived access URL and then stores a per-instance browser cookie for that UI.
Expose a port
Use the Network/Ports action on an instance. HTTP ports can be private, public, or unlisted with a password. Raw TCP/UDP exposures get an endpoint on tcp.gputw.ai or udp.gputw.ai.
Use an API key
Create a scoped key in Dashboard → API Keys, copy the secret once, and send it as a bearer token.
curl -H "Authorization: Bearer gputw_live_..." https://gputw.ai/api/instancesStop or delete an instance
Stop keeps the instance record for restart when capacity is available. Delete terminates and removes the instance. Billing stops when the instance is no longer running.