Transparent, fixed-scope pricing — no "contact us for a quote" wall. Run a real model on your data in 72 hours, then take it to production only when the numbers make sense.
One model, live on your data in 72 hours.
$4,900
fixed price
Your full private inference stack, in production.
from $25,000
one-time · hardware separate
Run on GPUs you don't own — unseen by the owner.
Custom
scoped to your workload
We run the whole thing: model and driver updates, monitoring, on-call, and SLA tiers — so your team doesn't have to become an MLOps team. Add it to any deployment.
Hardware is yours. Service pricing is separate from GPUs — you own the capex, so there's nothing to rent back from us. We size it and can source it at cost, no markup. As a ballpark, a single H100 (80GB) runs roughly $25–30k and a 4×H100 node roughly $180–240k; smaller models run happily on far less.
Estimate your own cloud-vs-on-prem cost and break-even before you talk to anyone.
A 72-hour deployment of one open-weight model on your own or rented GPUs, an OpenAI-compatible endpoint, a reference evaluation on your data, and a readout to scope production. Fixed price, no surprises.
No — hardware is yours, and you own the capex. We advise on sizing and can source it at cost with no markup. Service pricing (pilot, deployment, managed) is separate from hardware.
Yes — that's the intended path. The pilot proves it on your data, production deployment (from $25,000) takes it live, and optional managed ops (from $1,500 per GPU node per month) keeps it running.
Book a scoping call, or kick off the fixed-price pilot today.
Schedule a Discovery Call