Run private AI on your own device. Own your compute.
Keep prompts and data on‑device. Earn by contributing verifiable edge compute to the CommonCompute network.
Centralized AI is convenient—but not private.
As AI centralizes, your data must never be collateral.
Run locally by default. Contribute when idle, on your terms.
Share only what’s needed: proofs of useful work—not your information.
Private by default
Prompts and context stay on‑device. No silent uploads. No third‑party training on your data.
Secure coordination
Only signed attestations and anonymized metering signals leave the device. Transparent, verifiable operations.
Simple UX
Plug in, choose models, contribute when idle. Built on open source for auditability and extensibility.
Edge nodes that serve private inference.
Operators earn for verifiable compute and uptime. Governance and accounting are transparent and auditable.
Privacy‑critical teams
Legal, healthcare, finance. Keep regulated data off the cloud.
Schools & families
Safer defaults. No data exhaust.
Builders & tinkerers
Mod, fine‑tune, and chain local models.
What edge private AI looks like
A constellation of devices—at home, in schools, on the edge—serving private inference without exposing your data.
Get or mod a device
We ship supported nodes—or use our docs to enroll your own hardware.
Run private AI locally
Select supported models; keep prompts and data on‑device.
Earn for useful compute
Provide inference; earn based on successful, verified work.
Join the network
Be an early operator. We’ll notify you when devices ship and when self‑modded hardware is validated in your region.
Built on open source • Transparent protocols and measurements • No black boxes