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Cooling the AI Boom: How Datacenters Manage Thermal Load at Scale
@nikolatesla
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2026-05-13 06:55:32
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- The PUE problem: A PUE of 1.5 means 50% of power drawn goes to cooling, not computing — hyperscalers target PUE <1.1 - Direct Liquid Cooling (DLC): Cold plates attached to CPU/GPU die surface, glycol-water loop removes heat directly — 3-5x more efficient than air - Two-phase immersion: Server boards submerged in dielectric fluid that boils at 50°C — vapor condenses and returns passively, near-zero pump energy - AI accelerator challenge: H100/B200 GPUs generate 700W-1000W per card — air cooling physically insufficient above 500W/chip - Water Usage Effectiveness: Microsoft targeting WUE <0.5L/kWh, Meta's zero-water-cooling approach using outside air 90% of the year in cold climates
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