Access, not promises
Your work earns credits for models bigger than your own card. A cash payout comes only if and when the network sustains itself. We don't promise it.
// a cooperative AI network made of gaming PCs
Lend your graphics card in the hours you don't game. In return, use AI models that are too big for your PC — split across many home GPUs, like one big machine.
one model · three home GPUs · one answer
Measured by us on 12 Nov 2026 on rented cloud GPUs in Romania and Czechia. Home networks will vary.
A small open-source app runs on your PC. You choose when it works: only when you are not gaming, only at night, or whenever the PC is on anyway.
It answers requests on its own, or becomes one stage of a Chain: a large model split across several GPUs. Every answer is checked, so honest work counts and cheating doesn't.
Verified work earns you credits. You spend them on models your card could never run alone: chat, coding, reading long PDFs.
A big model doesn't fit on a gaming card. So we cut it into slices.
Each GPU holds a few dozen layers. A request flows through the cards in order, like an assembly line, and many conversations share the line at the same time. The full model never needs to sit on one machine.
We start with short chains of three or four cards in the same region, and lengthen them only when needed. 16 and 24 GB cards are the core; 12 GB cards fill the gaps.
Your work earns credits for models bigger than your own card. A cash payout comes only if and when the network sustains itself. We don't promise it.
Your PC uses power while it works. We size credits so that the access you get is worth well more than the electricity you spend — at least three times its cost.
The network fills the most efficient cards first. Being available is rewarded a little; real verified work is rewarded most.
Swipe through the roster we plan to launch with. Tell us what you want next.
BASE · FREE PLAN
Everyday chat and summaries. Runs on a single card.
MEDIUM
Stronger reasoning, code and long documents. One 16 GB card, or a Chain of smaller ones.
TOP · IN THE CHAIN
A frontier-class open model for coding, split across 3–4 home GPUs. LiveCodeBench v6: 86.3 in this quantization (publisher's figure).
Subject to licence confirmation for hosted use.
NEXT?
Another model, another quantization, a bigger one? Vote on the roster →
You run our code on your machine. You should be able to read it.
The host app and the Chain stage — everything you install — will be published as open source, together with the engine patches it builds on (a fork of llama.cpp). The repository opens before the launch.
$ publicompute-host --start --only-when-idle › gpu: RTX 4070 Ti Super · 16 GB · ready # source code published before launch
Which models should the network run next? It takes 30 seconds.
Self-declared, no install needed. It helps us know which PCs the network will have at launch — and which Chains we can build.
No: the app works only in the hours you allow, and stops when you start playing.
Your PC processes slices of a model's computation, not files of yours. We never access your files. Privacy options for users of the network are described at launch.
A share of every node's work is recomputed by independent verifiers. In our tests honest nodes were never rejected and degraded models were always caught.
No. No coin, no speculation. Credits are an internal unit to use the network.
When the network is ready and enough people have joined the waitlist. Pre-registered rigs are invited first.