To quench AI's thirst, the way we build, operate datacenters needs to change
Does AI have to be so thirsty?
In the paper, researchers focused on cooling towers — a form of evaporative cooler — because they are"the most common cooling solution for warehouse-style datacenters." As water evaporates, it pulls heat out of the air. This phenomenon makes evaporative cooling popular among datacenter operators as it tends to use less power than alternative tech, and in many climates they only need to be run during the hottest months of the year.
While it may sound counterintuitive, liquid and immersion cooling tech can actually reduce the amount of water consumed by datacenters by removing heat more efficiently, he explained.vendors, often tout PUE ratings of less than 1.05 — making them far more efficient than typical air-cooled datacenters which usually come in at 1.4-1.5.In addition to architecting datacenters in a way that minimizes their water consumption, the paper offers some recommendations for cutting AI water consumption.
The latter point is a bit of a paradox though, as the times of the day most efficient for water consumption also tend to be worse in terms of carbon emissions — you can't use solar if the sun isn't shining. To get around this, Ren and his team suggest taking advantage of datacenter's battery backup systems to effectively time shift renewable energy from sources like solar until the evening hours.
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