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.
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.
Legacy rack density — never designed for accelerated draw.
The minimum to retrofit a rack for AI workloads.
Frontier training racks, with liquid cooling.
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 cooling, roughly 10 kW per server — about 20 kW per rack with two servers.
Direct liquid cooling plus air conditioning — about 50 kW per rack with four servers.
Direct liquid cooling — up to 132 kW per rack.
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.
Tell us model sizes and density targets — we'll architect the facility around them.