106B
Model pooled across the fleet
On-prem AI inference
One large model, running on the desktops you already own.
U4x pools the idle capacity of the PCs already on your network into a single private language model. No cloud round-trips. No per-token bill. Prompts, documents, and answers never leave the building.
10
Ordinary PCs, none holds the model
8
Concurrent streams, 16/16 tasks passed
4.1×
Aggregate at 4 streams vs 1
Why U4x
Frontier-class answers, inside your own walls.
For firms where client data cannot leave the building, cloud AI is a non-starter and a GPU server is a capital project. U4x turns the hardware you already have into the inference layer.
Data stays home
Prompts, documents, and answers are processed only on machines you own. Nothing is sent to a third-party model provider.
$0 per token
No metered API bill. The capacity is hardware you have already paid for; adding a desk adds capacity.
Nothing to rack
No GPU server to buy, no datacenter contract. A head node and the desktops already on the network are the whole deployment.
Explore
The detail, page by page.
How it works →
Head node, one-time enrollment, a pooled model on a private API, and an encrypted relay for remote desks.
Benchmarks →
Measured runs, dated, on a named model and a ten-PC fleet. Per-stream speed, aggregate scaling, and what broke.
Security & assurance →
The encryption model, key custody, and the published threat model behind every privacy claim.
Pricing →
No per-token fees, ever. A straightforward commercial license. Talk to sales for a quote.
Early access
Bring your own hardware. Keep your own data.
We are onboarding a small number of design partners with 50 to 500 desktops. You get the head, the fleet software, the published benchmarks, and a direct line to the people who build it.
Contact: [email protected]