Industry
High-Density Cooling for AI, GPU & HPC | Australia
AI training has changed cooling fundamentally. NVIDIA H100/H200 racks at 30-100kW exceed what air cooling can economically dissipate in most facilities. Direct-to-chip liquid cooling, rear-door heat exchangers, and immersion are now mainstream rather than exotic.
CRAC Services consults on cooling strategy for AI clusters across Australia — assessing existing infrastructure, modelling retrofit options, specifying CDUs, and designing integration with chiller plant and BMS.
Typical configurations
CRAC patterns
we deploy
Considerations
Key considerations for AI, GPU & High-Density Computing
01
Crossover analysis
Air cooling becomes uneconomic above ~30kW per rack. We model the air-vs-liquid crossover for your specific workload to inform CapEx decisions.
02
Retrofit feasibility
RDHx is the easiest air-to-liquid retrofit. D2C requires per-rack manifolds and CDUs. Immersion typically only economic on per-pod basis.
03
Chiller plant capacity
Liquid cooling shifts heat to the chiller plant — existing plant capacity must be assessed before retrofit commitment.
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