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TechRadar质疑AI数据中心用水误区

AI 总结

TechRadar指出,有关AI数据中心用水量的许多说法已经过时、存在错误,或采用了不一致的统计口径,但数据中心对当地社区的影响仍不可忽视。文章提到闭环设计、浸没式冷却和再生水协议等新工程方案,以及Microsoft、Google和Amazon的“水资源正效益”承诺。设施级、经独立核验的取水、排水和消耗披露标准仍未建立。

深度见解

TechRadar称,不一致的用水核算可能随着AI基础设施扩张,导致选址不当、公众审视偏离重点和信任错置。

As Europe emerges from record-breaking summer temperatures, and as the US prepares for midterm elections in November, data centers find themselves in the firing line on both sides of the Atlantic.

In the UK, water companies say data centers are using 6.6 million liters of precious public supplies every day; in the US, some voters are blaming rises in their electricity bills on, you’ve guessed it, data centers . Bloomberg has described the data center “backlash” as a “defining midterms issue”.

And so, a narrative has been allowed to develop – that too many data centers are being built, and too quickly, and worst of all in areas where water is scarce. No wonder some communities believe their water needs are being ignored in the name of advancing IT infrastructure to support AI.

In some cases, there has been genuine cause for grievance – in an earlier era, water efficiency was not always a design constraint on data center construction.

But the public debate is now running on figures which range from outdated to plain wrong. Some of the loudest claims overstate the problem by orders of magnitude. Others, including several the industry itself repeats, understate it.

#Microsoft#Google#Amazon#ChatGPT#GPT-4#Gemini

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