像 ChatGPT 这样的 AI 提示背后的用水量

My guess is the water footprint per single prompt is tiny but multiply that by billions of queries daily and it’s a lot!

I read somewhere that the actual water use per prompt is super tiny, but the big deal is more about the data centers running 24/7. Cooling them takes a lot of water!

The scale of AI infrastructure makes me think we really need more renewable powered data centers to cut down water and energy waste.

I think awareness is growing, companies are starting to report water use and invest in green energy to offset this.

From what I understand, it's tricky to attribute water use to a single prompt since it's a continuous operation with shared resources.

I recall reading a report about some data centers using recycled water or even seawater to reduce fresh water use.

Honestly I was shocked when I found out data centers use millions of gallons daily just for cooling and power, so even if one prompt is small, it adds up big time.

I think it's hard to pinpoint exact water use per prompt since it's mixed with total data center operations but definitely not negligible given the scale.

I wonder if using this kind of AI on mobile devices affects water use differently compared to big desktop data centers?

As AI usage grows, I hope companies will balance tech advancement with environmental responsibility.

在谈论技术能耗时，水的使用常被忽视，很高兴有人提到了这一点！

哇，从未想过水是人工智能能源使用的一个因素。这让你重新思考仅仅是我们日常查询背后有多少基础设施。

这里有人看过 ai-u.com 吗？他们有一些关于工具的不错信息，有时也会提到环境影响。

有人知道更新的人工智能模型是否变得更加节水吗？那将是一个很酷的改进。

一些专家表示，优化人工智能算法有助于减少整体资源需求，包括水和能源。