Australasia’s AI-Ready Liquid Cooling Specialists


unlock 10x rack density. cut cooling costs by 40%. deploy ai infrastructure faster.

Traditional air cooling is reached its limit for AI workloads, racks are pushing 40-100+ kW, compared to the 10-30 kW legacy systems were optimized for.

100+ kW per rack

Driven by AI servers generate 3-5x more heat than traditional compute

40% of data center OPEX

Cooling costs spiral with air based systems

18-24 months

Traditional cooling retrofits delay AI deployment

Hyperscale operators, colocations, and enterprise data centers are hitting a thermal wall. Air cooling physically cannot dissipate heat from AI-dense racks. Liquid cooling is no longer optional, its the only path forward.

Purpose Built Liquid Cooling for AI Infrastructure

Thermal Optimization Consulting

  • AI-Ready capacity

  • Retrofit feasibility studies

  • ROI modeling & design

[1]

Retrofit & Integration

  • Direct-to-chip liquid cooling

  • Immersion cooling systems

  • Hybrid cooling optimization

  • Turnkey project delivery

[2]

Edge & Modular
Solutions

  • Mining site data centers

  • Regional edge deployments

  • Ruggedized liquid cooling

  • Rapid deployment (3-6 months)

[3]

The AI Infrastructure Inflection Point

Traditional cooling has hit it’s physical limits. Liquid cooling is no longer emerging technology, it’s the only viable path forward.

6 kW → 100+ kW

Rack Densities 2020 vs 2025
Air cooling tops out at 25-30 kW per rack. AI workloads demand 5-10x more.

3-6 Months

Retrofit Timeline
Upgrade existing facilities without 18-month reconstruction. Deploy AI capacity fast.

Pue <1.1

Energy Efficiency Achievable
Liquid cooling cuts cooling energy by 40-60% vs traditional air systems PUE 1.5-2.0

100% Required

For Next-Gen AI Systems
NVIDIA GB200, AMD MI300X, and similar accelerators physically cannot run without liquid cooling.

The Strategic Reality

Every existing data center in Australia was designed for 6-15 kW racks. Every AI customer needs 50-150 kW racks. That’s not a 2x gap - it’s a 10x gap. Liquid cooling is how you bridge it without rebuilding from scratch.

Is you facility ready for AI workloads? Most aren’t.

Deploy AI Infrastructure in Months, Not Years

Whether you’re planning a mojor retrofit, evaluating liquid cooling for new build or need rapid deployement for edge infrastructure - FluxTherm has the expertise and execution capability to deliver.