Sfiniti runs open models on the computers you already own, swarms hundreds of agents on a single GPU, and reaches for the frontier with your provider keys — connecting your machine straight to your provider. We are software, never a middleman. Your prompts and keys stay on your hardware.
Sfiniti is a runtime you install. It coordinates the machines you already trust into one private fabric, keeps the cheap, fast answers local, and only reaches a frontier model when the work genuinely needs one — through a key you own, on a connection we never sit inside.
Open-weight models load on your own GPU. A tiered router answers most requests from local memory, cache, and small models — the big model is the last resort, not the default.
When a request truly needs a frontier model, Sfiniti calls your provider with your key, directly from your machine. We are never in the path. No reselling, no pass-through, no markup.
Sfiniti holds no keys, no tokens, no prompts. There is no server of ours for your data to sit on. What runs on your machines stays on your machines.
Every request enters a ladder. Most never wake the large model — they're answered from your own memory, a cache, or a small model whose draft gets verified. Only the hard ones escalate.
The result: most prompts are answered for the cost of a lookup. The expensive model runs only when nothing cheaper will do — and when it's a frontier model, the call goes from your machine to your provider on your key.
One model loads once and is shared by every agent. Concurrent work batches together, so a single consumer GPU runs a whole swarm at roughly the cost of one. When a job outgrows one machine, it runs split across the trusted machines you already own.
Run a large swarm of concurrent agents through one shared model on a single consumer GPU. Batched decoding means many agents cost about as much as one.
Shared model · batched concurrencyHold large contexts resident where ordinary serving runs out of memory — so long sessions stay warm on the hardware you have, instead of needing a datacenter card.
Bounded memory · exact fallbackA model too big for any single machine runs split across your trusted devices — laptop, desktop, and a stronger box — coordinated automatically, with the strongest box doing the heavy lifting.
Cross-machine pipelineWatch every machine in your fabric in real time — what's loaded, how much memory each is using, which tier answered each request. Nothing hidden, nothing phoning home.
Per-machine GPU viewPoint Sfiniti at the providers you use. Keep the cheap, repetitive calls local; spend your frontier budget only on the calls that earn it.
Healthcare, legal, finance — where "we sent your data to a third party" isn't an option. Sfiniti keeps prompts and keys on machines you control.
Pool the GPUs already sitting in the office into one fabric, run bigger models than any single box could, and skip the per-seat cloud bill.
The MFabric peer beta lets a trusted machine join a fabric and help with real work — no accounts, no cloud, discovery stays on your own network. It installs from a single package.
Get the MFabric beta →For teams running AI where privacy and fidelity actually matter.