Autonomous Computer Studio

From

€38,500.30

Autonomous Computer Studio

Local AI for the whole team. 4 GPUs.

BuildBuild: Complete machine · 4× RTX 5090

Complete machine · 4× RTX 5090

VRAM · 128 GB

FP32 · 419 TFLOPS

Case · CNC aluminum, silver

Risers · 4× PCIe 5.0 ×16

Board · ASUS W790E-SAGE SE

CPU · Intel Xeon w5-3423

Power · 2× 2000W, 240V

Cooling · 18 fans

Complete machine · 4× RTX PRO 6000

DIY kit · Case and PCIe 5.0 risers

Memory

64 GB

128 GB

192 GB

256 GB

Storage

1 TB

2 TB

4 TB

8 TB

Buy more, save more

Qty	Price
3-4	€37,345
5-9	€36,574
10-29	€36,190
30+	€35,806

€38,500.30

Free shipping within 2-4 weeks

Autonomous Computer Studio

Free shipping within 2-4 weeks

€38,500.30

Own your intelligence.

Never revoked.

Your models don't get deprecated, rate-limited, or pulled. The weights sit on your disk.

Private by physics.

Prompts never leave the building. Nobody trains on your work. Not by policy, by physics.

No per-token bill.

Own the machine and agents can run around the clock. You pay for electricity, not tokens.

Yours to keep.

Fine-tune on what only you know. The model becomes an asset you own, and it sells with the company.

GPUs

Four cards, tuned and burn-tested. We install RTX 5090 or RTX PRO 6000 Blackwell — installed, driver-loaded, and benchmarked as one system before it ships. Plug it in and run.

128–384GB

Total VRAM

419–503TFLOPS

FP32

7,168GB/s

Memory bandwidth

Chassis

Milled from solid aluminum. A solid billet, milled inside and out until only the machine is left. It moves heat like a heatsink and holds true under a hundred pounds of hardware. 15.5 × 15.5 × 16 inch, anodized silver.

66lb

Weight

CNC

Solid aluminum

Riser

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.

x16

Lanes per card

64GB/s

Per card

Gen 5

PCIe

Motherboard

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.

PCIe 5.0 ×16 slots

DDR5 channels

W790

Chipset

CPU

Intel Xeon w5-3423. The lanes are the point: 112 lanes of PCIe 5.0 means all four cards, the NVMe, and the risers never fight for bandwidth.

112

PCIe 5.0 lanes

Cores

4677

Socket

Power

Two supplies, one clean bus. Four cards at full draw pull close to 3000W — cheap power is where multi-GPU builds die. We spec two 2000W supplies with native 12V-2x6 feeding one distribution board. Plan a 240V circuit before it arrives — normal at this scale, better sorted early.

4000W

Power supply

2000W units

240V

Circuit Required

Cooling

Air moved on purpose. Eighteen fans on a single controller, mapped to the airflow path before a panel was cut — not bolted on after.

Memory & Storage

ECC memory, fast NVMe. Six 32GB DDR5-4800 ECC RDIMMs catch the silent bit-flip before it corrupts a run a whole team depends on. The 2TB PCIe 4.0 NVMe loads a 70B checkpoint in seconds, not minutes.

192GB

ECC RAM

2TB

NVMe

7GB/s

Read

GPU

Cards

4x NVIDIA RTX 5090 or 4x NVIDIA RTX PRO 6000 Blackwell

Total VRAM

128 GB (RTX 5090) / 384 GB (RTX PRO 6000)

FP32 compute

419 TFLOPS (RTX 5090) / 503 TFLOPS (RTX PRO 6000)

Interconnect

PCIe 5.0 x16 per card, Gen5 riser cables

Compute

CPU

Intel Xeon w5-3423 - 12 cores, 112 PCIe 5.0 lanes

Motherboard

ASUS Pro WS W790E-SAGE SE - 7x PCIe 5.0 x16

CPU cooler

Heatsink 4677-2UAF8

Memory & storage

RAM

192 GB (6x 32GB DDR5-4800 ECC) - configurable 64-256 GB

Storage

2TB NVMe PCIe 4.0 - configurable 1-8TB, Gen5 on 8TB

Power & cooling

Power supply

Open-source hardware

The whole machine
is open.

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 1.2k

autonomous-ai / autonomous-computer

2x-5090/ 4x-5090/ 8x-5090/ 4x-6000/

bom/ step_models/ stl-models/ photos/

README.md setup.md

MIT · 147 forks

Clone it. Build it. Sell it. We just want it built.

Autonomous Computer Studio

Local AI for the whole team. 4 GPUs.