Vinculum

Distributed LLM inference

Nobody here owns a datacenter.

Vinculum pools idle consumer hardware into one shared inference network. Lend a machine and earn credits. Spend them on models no single machine here could run alone.

BitTorrent proved strangers will pool bandwidth to give each other things no one peer could serve. This is the same bargain, for GPU time.

The Vinculum emblem
machines online
jobs queued

Two ways in

Bring a machine, or bring a question.

Both are welcome and they are not the same deal. Read the one that's you.

For the machine you already own

Lend a machine

Your GPU is idle most of the day. Install the app, flip one switch, and it serves requests from the network in the background — earning credits the whole time.

What it does
Detects your hardware, picks the largest model tier it can actually hold, and serves whole requests. Bundled llama.cpp — no CUDA afternoon.
What you get
Credits per token you actually serve, weighted by tier, plus a trickle for staying reachable.
What it costs you
Electricity, and the fact that prompts you serve pass through your machine in the clear.

For the question you have now

Ask a question

The same app is a chat client. With no credits and no network it still works: replies run on your own machine, instantly and privately.

Free, always
Local Mode runs a small model on your hardware. Nothing leaves the machine, and it never expires.
What credits unlock
The big tiers — the models your laptop cannot hold, served by machines that can.
What it costs you
Queue time, and knowing that a network reply ran on a stranger's computer. Every reply is tagged with where it ran.

The loop no exit, by design

Contribute, earn, spend, repeat.

One app holds both halves. The sequence matters, and it closes — step four is why step one is worth doing.

STEP 1

Install

The app makes a keypair on first run. That's your identity — no email, no signup, nothing to verify.

STEP 2

Share

Flip the switch and your machine joins the grid, serving what its hardware can hold. Credits accrue while you work on something else.

STEP 3

Spend

Ask a big model something. Credits pay the machines that answer, per token, at the tier you chose.

↩ BACK TO 2

Out of credits

Local Mode keeps answering for free while your machine earns the next batch. The network is never a paywall.