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Eaton: AI data centers need aerospace-grade engineering

TL;DR AI

Key summary

2 min read
  1. Eaton’s Peter de Bock says AI workloads are pushing data centers beyond legacy telecom-era designs.

  2. He argues future AI infrastructure needs an aerospace-style systems approach, integrating power and liquid cooling from the start.

  3. That could require redesigning everything from grid connection and power delivery to chip-level cooling.

  4. With racks potentially reaching 600 kW and global AI demand topping 150 GW, infrastructure is becoming a major bottleneck.

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