Deploy · Step 2 of 4 – Configure your server

Billing term

Monthly $2,690/mo Rolling · cancel with 30 days' notice 3 months−5% $2,556/mo Price fixed for 3 months 6 months−10% $2,421/mo Price fixed for 6 months 12 months−15% $2,287/mo Price fixed for 12 months

Region

No preferenceFastest available go-live AshburnUnited States · 25 Gbps DallasUnited States · 25 Gbps AmsterdamNetherlands · 25 Gbps FrankfurtGermany · 25 Gbps StockholmSweden · 25 Gbps

All sites are Tier III, ISO 27001-certified data centers with the same pricing.

Operating system imageSelected: Ubuntu 24.04 LTS

Every image ships with the NVIDIA driver, CUDA and Docker unless stated otherwise; ML images add JupyterLab on port 8888.

Access

How you log in the minute the server is live.

SSH keyRecommendedInstalled for root on first boot — nothing to type, nothing to reset Root passwordA one-time password shown in your console once the server is live

Public keys — one per line, up to 5

Where do I find my public key?

macOS / Linux — in a terminal: cat ~/.ssh/id_ed25519.pub

Windows — in PowerShell: type $env:USERPROFILE\.ssh\id_ed25519.pub

No key yet? Run ssh-keygen -t ed25519, press Enter through the prompts, then run the command above.

Copy the whole line — it starts with ssh-ed25519 or ssh-rsa. Never paste a file that begins with -----BEGIN: that is your private key.

Server detailsoptional

Hostname

Letters, digits and dashes. Left blank, we assign gpu-01.

Primary workload

Training Fine-tuning Inference Rendering Other

Pick one and we pre-tune NCCL, drivers and the container runtime for it — click again to clear.

Deploy a GPU server

Configure your server

Billing term

Region

Operating system imageSelected: Ubuntu 24.04 LTS

Linux

ML frameworks

Inference

Containers

Windows

Custom

Extra block storage

Additional IPv4

Access

Server detailsoptional