The water question: how do you cool AI in a thirsty world?
Every answer your AI gives carries a hidden cost, and it isn't only measured in cents or kilowatts. It's measured in water. A large data center can drink as much as a small city, most of it evaporated into the sky to keep the chips cool. In a desert, that arithmetic looks impossible. Which is exactly why the desert ends up forcing the right answer.
The thirst, in numbers
The figures are sobering. A large data center can consume up to 5 million gallons of water a day, comparable to a town of 50,000 people. US data centers directly consumed about 17.4 billion gallons in 2023, a number projected to reach 38 to 73 billion gallons by 2028 (EESI, Brookings).
One state shows the trajectory in miniature: a study found Texas data centers would use roughly 49 billion gallons in 2025, potentially rising to 399 billion by 2030. Unsurprisingly, water has become a flashpoint, with community backlash reported in the US, Chile, Ireland and the Netherlands (Lincoln Institute).
Why most data centers drink so much
The thirst is a design choice, not a law of nature. The cheapest way to reject heat is evaporative cooling: spray water, let it evaporate, carry the heat away with it. It works, and it's inexpensive, in a place with water to spare. But evaporation means the water is gone, not recirculated, and at the scale of an AI campus that becomes millions of gallons a day vanishing into the air over a community that may have wanted it for something else.
So the water problem is really a cooling-architecture problem. A facility built around evaporative towers trades cheap heat rejection for enormous water consumption. That bargain only looks good where water is abundant and unpriced, and that describes fewer and fewer places every year.
The answer the desert forces: a closed loop
If you can't evaporate water, you have to keep it. That means closed-loop liquid cooling: a sealed circuit that carries heat directly off the chips and rejects it without continuously consuming fresh water. Direct-to-chip and immersion designs do exactly this, and they're also what the densest modern accelerators require anyway, since you cannot air-cool a 150 kW rack. The water-frugal path and the high-density path turn out to be the same path.
Here's the twist the backlash stories miss. A desert facility built on a closed loop can be dramatically more water-efficient than a conventional evaporative plant in a temperate, water-rich region, because it was never allowed to waste water in the first place. The location everyone assumes is worst for water can, designed correctly, be among the best. The constraint produced the better building.
Liwa is liquid-cooled by design and by necessity. A desert free zone leaves no room for evaporative waste, so the architecture is a closed loop that supports 150 kW/rack without drinking the aquifer, paired with power at $0.10/kWh, under your own brand. The water question isn't a reason to avoid the desert. Done right, the desert is what forces the cooling design the rest of the industry is being dragged toward by backlash and regulation.
Questions we're sitting with
- If evaporative cooling only makes sense where water is free, how many of today's sites are quietly building on borrowed time?
- When the densest racks already demand liquid cooling, is the water-frugal design also just the inevitable design?
- Could the location everyone calls worst for water, the desert, be the one that forces the most water-efficient build?
Cool dense, waste nothing.
Reserve closed-loop, liquid-cooled, 150 kW-ready capacity at $0.10/kWh, your hardware, your brand, on a 36-month founder rate.
Sources
- EESI, Data centers and water consumption
- Brookings, AI, data centers and water
- Lincoln Institute, the land and water impacts of the AI boom
- MSCI, When AI meets water scarcity
Water-consumption figures are study estimates and reporting through 2025 to 2026; methods and definitions of water "use" versus "consumption" vary by source.