Inside the race to rebuild AI data centers before the grid hits its limit
Inside the race to rebuild AI data centers before the grid hits its limit
Publish Date: 2026-06-02 21:07:00
Source Domain: www.latimes.com
Artificial intelligence data centers are on the verge of reaching their limits.
To meet ballooning demand, chipmakers like Nvidia Corp. are churning out ever more powerful chips, requiring a new generation of data centers that will draw many times more power than their predecessors.
Rampant power consumption, fueled by “AI factories” that gobble up enough power to keep the lights on in millions of homes, threatens to put more pressure on electricity prices in the U.S., expand AI’s carbon footprint — and potentially slow down the AI boom.
Political backlash against data centers is already creating friction, and industry leaders warn of another more basic constraint: the limits of power generation.
“Very soon, maybe even later this year, we’ll be producing more chips than we can turn on,” Tesla Inc. and SpaceX CEO Elon Musk said earlier this year.
Demand, however, continues to surge. Trillions of dollars are expected to flow into the AI build-out, raising the prospect that energy shortages could become one of the biggest brakes on AI’s growth.
This crunch is forcing a reckoning among key AI players — hyperscalers, data center operators, chip makers and power equipment producers. As they scale up, they are having to reimagine how data centers are designed, built and powered.
Traditional data centers that support services like cloud storage, e-commerce and web hosting use chips known as central processing units, or CPUs. These tasks are typically far less energy-intensive than AI processing.
A standard server rack in this kind of data center might require between 25 and 40 kilowatts, or enough to power around 20 air conditioners.
But AI data centers run on densely packed, more advanced graphic processing units, or GPUs. As AI models get faster and more powerful, racks are packing far more chips in the same space.
“Increasingly, the rule of the game now in AI is that the more you can pack performance in a chip, the densities will keep getting higher and…
