Compute control plane · not a GPU marketplace
Terafab builds compute. ComputeFlow decides where a job should run.
Teams still pick a vendor in a spreadsheet, then discover latency, energy, and sovereignty after the bill arrives. ComputeFlow takes a workload definition and returns a weighted split across pools — cloud GPU, private cluster, sovereign region, edge, and reserved future supply — with the trade-offs written in plain English.
From workload to a split plan
Define the job. Score every pool. Split the work. Explain why. The engine on this page is a static readout of that loop — no paid APIs, no claimed live inventory.
Six axes, one plan
- Cost — what the run is likely to spend, not a vendor slogan.
- Latency — time to first useful token, frame, or control loop.
- Energy — watts and locality, not only dollars.
- Sovereignty — where the bytes are allowed to live.
- Risk — quota shock, outage, and single-supplier concentration.
- Availability — what can actually accept the job now.
Request a routing brief
This page does not send email or connect to a backend. Submit to open a mail draft on your machine with the request filled in.