Solutions · AI startups

Own your inference. Make the bill predictable.

With a metered API, every token has a price. With a machine you own, the month has a price. We build it, we host it in Oregon, and your OpenAI-compatible key reaches nothing but your own hardware.

See the machines

Hand-built in Eugene, Oregon
You own the hardware
Insured, hosted, monitored

What you get

A fixed asset, not a meter

Your inference line becomes a machine plus flat hosting. Launch week and quiet week cost the same, and you own the hardware from day one.

Nobody else's traffic

Your key reaches your machines, and nobody else's key reaches them at all. There is no shared GPU pool to fall into, so capacity, latency, and model versions stay where you set them.

A two-line swap

The gateway speaks the OpenAI API format, which nearly every client, SDK, and framework already targets. Point the base URL and the key at us and the rest of your code stays exactly as it is.

python

client = OpenAI(
  base_url="https://b3iq.org/v1/api",
  api_key=os.environ["B3IQ_API_KEY"],
)

Quickstart

Test-drive your exact SKU

Before you commit, we run your model on the same configuration you'd buy and share the throughput and latency numbers.

The honest math

Self-hosting pays off at steady volume. Once your monthly token spend passes what the machine costs to host, everything above that line is close to free. Below it you are buying predictability rather than savings, and a metered API may still be cheaper. Send us your usage and we will tell you which side you are on.

The operation

The facility

Eugene, Oregon. Backup power always on standby, engineers on site 24/7.

Hand-built

Parts-priced with one visible 5% build fee, no markup on parts

Machines from

$7,880 for an RTX 5090, up to 8× H200 NVL. Paid in full, you own it.

Insured

Machine insurance at replacement value, included in our operating fee

Common questions

We're not at volume yet. Is this premature?

Possibly, and we'll say so. If spend is small and stable, stay on metered APIs. Owning starts to make sense when usage is sustained, spiky, or growing fast enough that predictability matters more than the marginal token price.

What if we outgrow the machine?

Add GPUs to the same chassis up to whatever that platform holds, which is eight on an H200 node, then add a second machine under the same key. Everything you own answers to one key, so scaling up is not a code change.

Do we pay it all upfront?

Yes. The machine is paid for in full and you hold title from day one. There is no financing and no balance. If you host it with us and let it earn, we keep 15% of that income and you keep 85%; the exact numbers are on the ownership page.