Thermal / Engineering Domain

Thermal engineering for AI infrastructure.

Heat is the dominant constraint of the AI era. We engineer the cooling loops, manifolds, and thermal control systems that unlock rack density without compromise.

Copper liquid cold plate with glass coolant tubing
FIG · 01 / COLD_PLATE
LIVE
Copper cold plate — direct-to-chip latent heat capture.REF_TH.001
THERMAL_LOOP · L2C · OVERVIEW
ΔT 6°C · N+1
CDU_01PUMP45°C51°C57°C63°C69°C
SYS · 01/03
THERMAL · ENGINEERING DOMAIN
01 · Density

GPU thermal density redefines the loop.

Modern accelerators concentrate kilowatts of dissipation into centimeters of silicon. Air cannot follow. Liquid cooling becomes structural — not optional.

Thermal Map
32°C78°C
02 · Evolution

Liquid cooling evolution.

[ 01 ]

Rear-Door HX

Transitional heat exchange for mid-density legacy refresh.

[ 02 ]

Direct-to-Chip

Cold plate loops engineered for high-density GPU clusters.

[ 03 ]

Single-Phase

Dielectric and water-glycol loops with precise flow control.

[ 04 ]

Two-Phase

Latent-heat-driven systems for frontier-class accelerator density.

Liquid cooling manifold with cobalt coolant
FIG · 02 / MANIFOLD
LIVE
Distribution manifold — flow balanced across every loop.REF_TH.014
Loop architecture

The loop is the building.

In an AI-class hall the cooling loop is no longer mechanical support — it is the structural backbone the compute hangs on.

03 · Architecture

AI thermal architecture as a system.

CDUs, manifolds, secondary loops, and facility heat rejection are designed in one model — with telemetry feeding live thermal control across every rack.

ΔT 6°C
Coolant Approach
120kW
Per-Rack Capacity
<3%
Pump Energy Share
N+1
CDU Topology