YOUR LAWN IS THIRSTIER THAN AI
In the late 1990s, before the term 'AI' meant anything to anyone, I built a network of data centers.
We lit up floors in New York and Los Angeles, in St. Louis and Chicago, in Dallas and Miami.
They hummed with the servers that carried the first great wave of the commercial internet. And not one of them consumed a single drop of water to keep those servers cool. Not a gallon.
We rejected heat the way a car rejects heat, with air and with glycol circulating in a sealed loop, the warmth carried out to the rooftop and handed off to the sky.
The water bill for cooling was zero, because there was no water in the cooling.
I tell you this not for nostalgia but because it settles an argument that has lately been dressed up as a crisis.
You have read the headlines. The data centers are coming, the story goes, and they will drink your rivers dry. The artificial intelligence boom will guzzle the reservoirs while families are told to let their lawns go brown.
It is a vivid picture.
It is also, in its central premise, false. And I can say so with confidence because I solved this supposed crisis a quarter century ago, on a budget, with technology that was not even new then.
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