Own US-based AI infrastructure

Buy an NVIDIA GPU server you own. We host it in our Eugene, Oregon data center, run it 24/7, and route AI workloads to it — put it to work from day one, and what you make is paid out in cash.

How rent-to-own works

  1. Buy the machine. Configure an NVIDIA GPU server you own, with 30% down at 8% interest.
  2. We host it. Racked in our Oregon facility — 24/7 power, cooling, and on-site engineering.
  3. Put it to work from day one. We route AI traffic to it: 30% of what it earns is paid to you in cash, and our 70% share retires the balance. Once paid off, the split flips and you keep 70%.

You stay in control: run your own workloads, toggle the machine on or off, and set the hours the network can use it. Monetizing is an option, not an obligation.

Earnings depend on marketplace demand — projections, not guarantees.

Machines

Own it, don't rent it

Cloud rent is a metered bill that never ends. A machine you own has no monthly bill, stays yours, and earns whenever you make it available. Exit during the payback period and your down payment is refunded in cash; after payoff, a standing trade-in floor applies — a published residual-value schedule of 70% / 55% / 40% of original value at 12 / 24 / 36 months, or market price if higher.

There's a tax difference too: cloud rent is 100% expense, forever. A machine you own is a depreciable business asset. How that applies to you depends on your situation — consult your tax advisor.

Your models run on hardware you own in a US facility you can name — weights, keys, and data never leave machines you control. Hand-built GPU clusters, US-assembled by Andromeda, with N+1 redundant power. Hosted GPUs for Stanford Blockchain, Penn Blockchain, NYU, and Dartmouth Blockchain.

Browse machines · Financing · Docs · Book a 30-minute call

B3IQ public protocol

Public commitments for routed inference: machine and model classes, receipt evidence, payout batches, settlement roots, and reputation signals. Prompts, outputs, exact private routes, customer identity, and raw credentials stay out of this surface.

Machine classes

Public machine state separates local convenience hosts, protocol-registered routes, and future confidential execution classes.

Model classes

Model profiles expose route tier, network eligibility, benchmark proof, serving backend, and paid-route policy.

Receipts

Accepted receipts commit to completed work, token counts, model identity, machine identity, and settlement references.

Settlement roots

Pending receipt roots and payout batches are public-safe commitments that avoid prompts, outputs, and customer secrets.

Reputation

Current reputation is evidence-led: route readiness, successful receipts, health history, and payout finality.