GPU capacity worksheet
The Roundhouse capacity marketplace is on the roadmap, deferred — and no payout rate has been set. So this page won't guess for you. It's a worksheet: you enter a rate, a utilization guess and your electricity price, and it does the multiplication — gross, power cost, and net. Your arithmetic, on your assumptions. Not our projection, and not an offer.
Work out what spare capacity would be worth to you
No numbers yet — on purpose
$ —
Fill in a rate, a utilization guess and your electricity price, and this panel shows the arithmetic: estimated tokens per month, gross at your rate, power cost, and net.
We could pre-fill those three fields and show you a dollar figure right now. We won't: the rate isn't set and the marketplace's demand doesn't exist yet, so any number we chose would be our claim wearing your name. When the marketplace has real operating data, we'll publish real earnings distributions here instead.
Install one client. Complete jobs. Get paid per token.
Install the client
The same lightweight, pip-installed worker agent that powers corporate on-prem routing. Point it at whatever OpenAI-compatible server your machine already runs — Ollama, vLLM, LM Studio, llama.cpp. Outbound HTTPS only, zero inbound ports.
Complete real AI jobs
The router dispatches inference jobs your models can handle, at the capability tier they qualify for. You choose when the client runs; the router plans around real availability.
Per-token compensation
Every execution is already metered to the token in the routing core. When the marketplace opens, that metering becomes your earnings statement — per token of completed work.
More on the provider side, including the honest state of what's built today: provide capacity.
Like the shape of those numbers?
Tell us what hardware you have — even roughly — and you'll hear the moment provider onboarding opens for the capacity marketplace.
No commitment implied by joining — the waitlist is how we plan capacity by region and hardware class.