Quickstart
By the end of this tutorial you will have a razorBridge account, an AI Blade of your own, and a command running on it. It takes about ten minutes, and the €10 of credit that comes with a new account is enough to finish it.
You need a web browser and an SSH client. On Windows, use WSL or the OpenSSH client that ships with Windows.
1. Sign in
Section titled “1. Sign in”Go to razorbridge.eu, sign in (or create an account), and open the Hub. Your account is created the first time you open a razorBridge page in the Hub, and €10 of credit is added to it straight away. Credits in the sidebar shows the balance and a Signup grant entry.
2. Start a GPU session
Section titled “2. Start a GPU session”- In the sidebar, open GPU Sessions and choose New session.
- Pick a GPU type (the dropdown shows VRAM and the current hourly rate) and a Duration — 1, 2, 4 or 8 hours.
- Choose Start session.
Starting a session holds the cost of the whole duration from your credit, so a session you cannot afford is refused up front with the amount it needs. See Credits and billing for how the hold is settled.
The session appears in the table and moves from Pending to Provisioning to Running, usually within a few minutes. You also get an email when it is ready. The duration counts from the moment it is running, and it stops itself when the duration is up.
3. Connect
Section titled “3. Connect”When the row says Running, choose SSH on it. The row expands to show a ready-made command, for example:
ssh -p 2201 user01@203.0.113.10and the password underneath it. Run the command in your terminal and paste the password when asked. Blade access is password-based, so any SSH client will ask for it.
Once you are in:
nvidia-smiTo run one command without opening a shell, pass it to ssh:
ssh -p 2201 user01@203.0.113.10 "python train.py --epochs 10"4. Move files in and out
Section titled “4. Move files in and out”scp and rsync take the same port, user and host. Note that scp spells the
port option -P:
# upload into your home directory on the bladescp -P 2201 ./train.py user01@203.0.113.10:~/
# download a results directoryrsync -avP -e "ssh -p 2201" user01@203.0.113.10:~/outputs/ ./outputs/With the Host block from step 3 in place, scp ./train.py my-blade:~/ and
rsync -avP my-blade:~/outputs/ ./outputs/ work too.
5. Extend, check what you spent, and stop
Section titled “5. Extend, check what you spent, and stop”On a running session’s row you can choose +30m, +1h or +2h and Extend, up to the maximum session length for your account. The Cost column shows what the session has cost so far.
A session keeps costing credits until it stops, so stop it as soon as you are done: Stop on the session row. You are charged for the time it actually ran, and the rest of the hold is released. Credits shows the charge once the session has stopped.
If you were given a join code
Section titled “If you were given a join code”Event blades are created for you by the event’s schedule, and the organizer’s
credits pay for them. Joining with a code and fetching your password are done
through the REST API: sign in with
the device flow, then call
POST /events/join/. When your blade is
ready you get an email with the host, port, username and SSH command; the
password comes from
GET /blades/<id>/ssh/.
Where to go next
Section titled “Where to go next”- razorBridge AI Blades and sessions — provisioning, extending, what the statuses mean, and the account limits that apply.
- razorBridge AI Gateway — call models over an OpenAI-compatible API, billed from the same balance.
- API reference — everything the web app does not cover.
- Troubleshooting — if any step above did not go as described.