Layer 1 · the building

A data center engineered around the GPU.

AI workloads draw power and throw heat that legacy facilities can't handle. OneCompute AI data centers are designed from the rack up for sustained accelerated compute — dense power, advanced liquid cooling, and a low PUE.

30–132 kW
AI rack-density range, per rack
<1.2
Target PUE with direct liquid cooling
2700 W
Power draw of a current top-tier accelerator
DLC
Direct liquid cooling — cold-plate and immersion
The density problem

Accelerators changed the power envelope.

Accelerator power consumption has climbed steeply generation over generation — roughly 400 W to 2700 W across recent generations — and rack densities have followed. Legacy data centers sit at 6–8 kW per rack; retrofitting half of them to AI workloads requires at least 30 kW per rack, and frontier training racks now reach above 130 kW. Building for that envelope is a design discipline, not an upgrade.

6 kW

Legacy rack density — never designed for accelerated draw.

30 kW

The minimum to retrofit a rack for AI workloads.

100 kW+

Frontier training racks, with liquid cooling.

AIDC design

Cooling and density scale together.

As the server profile shifts from air to liquid, rack density climbs — and the facility has to be built for it from the start.

Air-cooled node

Air cooling, roughly 10 kW per server — about 20 kW per rack with two servers.

Liquid-cooled node

Direct liquid cooling plus air conditioning — about 50 kW per rack with four servers.

Integrated rack

Direct liquid cooling — up to 132 kW per rack.

Multi-mode cooling

Air, cold-plate liquid, and immersion — matched to the workload. Cold-plate carries the highest share of modern AI deployments and is the path to a sub-1.2 PUE.

Integrated AI data center module with high-density racks
Integrated AI data center module — high-density racks with direct liquid cooling.
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