Intelligent liquid cooling

Cooling that moves before the heat does.

ThermalOps predicts thermal loads across the rack in real time and adjusts coolant flow the instant it's needed — cutting energy, preventing overheating, and extending hardware life in high-density AI compute.

Rack / Zone A-14 LIVE
Predicted load Coolant response
Predicted load
61.4kW
Coolant flow
38.2L/min
Δ Inlet temp
−7.1°C
Why it matters

Lower energy draw

Flow is matched to real load instead of a fixed worst case, so pumps and chillers stop working harder than the racks require.

Overheating, prevented

Loads are caught as they build. Coolant responds before a rising hotspot ever turns into a thermal throttle.

Longer hardware life

Steadier thermals mean less thermal cycling and stress on the silicon — extending the working life of every server you cool.

How it works

A closed loop that learns your facility, rack by rack.

01 · PREDICT

Forecast the load

Machine-learning models read telemetry across the facility and predict thermal loads in real time, zone by zone — before they peak.

02 · ADJUST

Move the coolant

Coolant flow ramps and eases dynamically, delivering exactly the cooling each zone needs and nothing it doesn't.

03 · SUSTAIN

Compound the gains

Efficiency and longevity build over time — sustainable, high-performance cooling that scales with density.

Built for the density problem

The hotter the compute, the more it pays to think ahead.

AI training clusters and high-density racks push heat faster than static cooling can react. ThermalOps is designed for exactly that regime — where every watt of cooling and every degree of headroom counts.

AI training clusters GPU / high-density racks Direct-to-chip liquid Colocation & hyperscale Edge compute
Get in touch

Cooling smarter starts with a conversation.

Tell us about your facility and thermal envelope — we'll show you where predictive coolant control fits.

Email the team