🐦 推特NVIDIAV1 · 实盘不做把握 8/10
北京时间·🕒 发布 03:58:06时区推断·⟳ 抓取 03:58:18·⚡ 决策 06-23 04:05:07 +6m49s·126.5 天前
NVIDIA发推强调液冷技术大幅降低AI数据中心用水量
📄 原文NVIDIA↗ 原文
Water usage has been a hot topic in the AI data center world, but the numbers may surprise you. According to the Manhat…
不做 NVDA.US
纯PR与叙事管理推文，旨在回应外界对AI数据中心耗水的担忧；液冷渗透率提升逻辑早已是市场明牌并充分price-in，无新增边际信息或实质性催化剂，无交易价值。
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Water usage has been a hot topic in the AI data center world, but the numbers may surprise you.
According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling.
By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero.
Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets.
Learn more below ⬇️
According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling.
By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero.
Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets.
Learn more below ⬇️
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