Liquid cooling and energy, the challenges of AI | Impacto TIC

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AI adoption is pushing data centers beyond the limits of traditional air cooling and standard power infrastructure. The article highlights that a single AI query can consume far more energy than a conventional search, which is driving rapid growth in electricity demand. It also explains that rack densities are rising sharply, creating heat loads that standard cooling systems cannot handle. Schneider Electric's whitepaper positions liquid cooling and hybrid cooling designs as the practical response for scaling GenAI sustainably. The piece frames AI success as an infrastructure and energy challenge as much as a software challenge.

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