AI数据中心水消耗争议:液冷技术实现近零水耗

Worth reading. The marginal water consumption of a properly implemented data center for its liquid ...

精选理由

反常识吧?液冷能让AI工厂几乎不耗水,还顺带回收热能, 值得看看数据。

AI 摘要

据曼哈顿研究所数据,美国数据中心仅占每日用水量的0.2%。传统冷却系统每MW每年消耗约260万加仑水,而采用45°C液冷技术的AI工厂在适宜气候下可使用干冷却器,将设施冷却水消耗降至接近零。NVIDIA指出,液冷不仅提升水效和能效,还创造了余热回收和社区供暖机会。这一转变颠覆了公众对AI数据中心大量耗水的印象。

原文 · Aravind Srinivas

Worth reading. The marginal water consumption of a properly implemented data center for its liquid ...

Worth reading. The marginal water consumption of a properly implemented data center for its liquid cooling is almost zero. People confuse water needed for power plants that power the data centers to the water need to operate the data center itself (cooling). NVIDIA @nvidia 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 ⬇️ nvda.ws/4gAVGoJ Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 21 🔄 67 ❤️ 638 👀 77799 📊 89 ⚡