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| Anz. | Price |
|---|---|
| 3-4 | $24,250 |
| 5-9 | $23,750 |
| 10-29 | $23,500 |
| 30+ | $23,250 |
Your models don't get deprecated, rate-limited, or pulled. The weights sit on your disk.
Prompts never leave the building. Nobody trains on your work. Not by policy, by physics.
Own the machine and agents can run around the clock. You pay for electricity, not tokens.
Fine-tune on what only you know. The model becomes an asset you own, and it sells with the company.
Two cards, tuned and burn-tested. We install RTX 5090 (32GB each) or RTX PRO 6000 Blackwell (96GB each)— installed, driver-loaded, and benchmarked as one system before it ships. Plug it in and run.
Milled from solid aluminum. Not a bent-steel box — a billet, milled inside and out until only the machine is left. It moves heat like a heatsink; the triangular cutouts keep it stiff without dead weight. 12.5 × 12.5 × 16 inch, anodized black.
A full ×16 to every card. Each GPU reaches the board over its own server-grade PCIe 5.0 riser — shielded, custom-cut, no dropped lanes. Every power run is cut to length and sleeved by hand.
ASUS Pro WS W790E-SAGE SE. The hardest choice in a multi-GPU build, solved with a workstation board: every card gets a full ×16, and the BIOS ships pre-tuned so every card links at full width.
2000W that doesn't flinch. Under full load the box pulls up to 1600W — and cheap power is where multi-GPU builds die. We spec 2000W with native 12V-2x6, feeding clean power to every card. The result is boring: it just runs.
Air moved on purpose. Six fans on a single controller, mapped to the airflow path before a panel was cut — not bolted on after.
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ECC memory, fast NVMe. Error-correcting memory catches the silent bit-flip before it corrupts the job you left running overnight. The NVMe loads a 70B checkpoint in seconds, not minutes.
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Open-source hardware
Every CAD file, bill of materials, and BIOS setting — free on GitHub. Fork it, change it, build your own, even sell it. This is how the personal computer began: in the open. We’re doing it again, for AI hardware.
GitHub 1.1k2x-5090/ 4x-5090/ 8x-5090/ 4x-6000/
bom/ step_models/ stl-models/ photos/
README.md setup.md
MIT · 143 forksClone it. Build it. Sell it. We just want it built.
The lineup
