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  5. Cooling
Infrastructure & Hardwareaka liquid coolingaka immersion cooling

Cooling

Cooling for AI hardware — air, liquid, and immersion cooling — is increasingly important as GPU power density rises and data centers scale.

Ask Melo about this← all terms

Modern AI GPUs generate 700W+ each in dense rack configurations, pushing air cooling past its practical limits. Direct-to-chip liquid cooling circulates coolant through cold plates on each GPU, removing heat more efficiently. Immersion cooling submerges entire servers in dielectric fluid. As racks exceed 100 kW densities, liquid and immersion cooling are becoming standard in new AI data centers, with the cooling infrastructure itself consuming 30–40% of total facility power in traditional air-cooled designs versus under 10% with advanced liquid cooling.

Related terms

Power ConsumptionAI ClusterAI FactoryComputeAI ChipParameter Server