❄️ Next-Gen AI Clusters (Two-Phase R-1233zd Boiling, Die Heat Flux 100 W/cm², ΔT 15°C)

Two-Phase Direct-to-Chip Cooling Calculator

Model two-phase evaporative direct-to-chip microchannel cold plates (ZutaCore / Accelsius / Boyd) utilizing low-pressure dielectric fluid (R-1233zd) for ultra-high-density AI accelerators: calculate boiling heat transfer coefficient ($h > 50,000 ext{ W/m}^2 ext{-K}$), remove up to $100 ext{ W/cm}^2$ die heat flux while maintaining chip temperature $<65^circ ext{C}$ with $45^circ ext{C}$ warm water supply, and AI data center margins.

1. Project & Operating Inputs

AI Accelerator Chips Cooled (Chip Count e.g. 128 GPU Compute Chips)

Thermal Design Power TDP per Chip (Watts e.g. 1,000 Watts / Chip)

Customer Bid Price for Supplied & Racked Two-Phase Cold Plate Loop ($)

Copper Microchannel Evaporators, R-1233zd Manifold, Condenser Skid & Tech ($)

2. Financial Breakdown & Yield

TWO-PHASE DIRECT-TO-CHIP

Turnkey AI Server DTC Package Profit

Data Center Liquid Cooling Contractor Margin

0.0%

Gross Revenue / Bill

Total Project CapEx

Operating / Direct Cost