GM simulated 300,000 EV battery designs—using 34,000 years of computer time—before building a single cell. Now comes the physical part
General Motors says it simulated more than 300,000 designs for its next EV battery before building a single physical cell.
The run took 300 million CPU hours, or one computer running around the clock for 34,000 years, by GM’s math.
GM pitched the number Wednesday at its GM Forward event as proof it can halve the traditional four-to-five-year vehicle development process, to about two years.
With the battery, the team went from first pack concept to formal program approval in one month.
Nearly every announcement ran on the same logic.
GM’s self-driving software logs more than 3 billion simulated miles a day, against about 1 million real-world miles a month.
Factory teams rehearse assembly in digital models.
Fortune reported Tuesday on the culture change gripping the top American auto-seller: engineers rewarded for missed stretch targets and a battery chief who says, “I want to see red.” Sterling Anderson, the former Tesla Autopilot chief GM hired as chief product officer in 2025, recently told Fortune it’s “effectively the third phase in the evolution of product development for humanity,” built on “probabilistic, large data-requiring methods.” This is what he meant.
That said, the battery won’t reach volume production until 2028.
A battery built on a long shot The cells use lithium manganese-rich chemistry, or LMR, which GM says offers 33% more energy density than lithium iron phosphate, or LFP, the cheap chemistry China dominates, at comparable cost.
They use roughly 30% to 40% nickel, battery engineer Andy Oury told Fortune , versus about 85% in today’s high-nickel cells.
GM plans to build them with LG Energy Solution at their Ultium Cells joint venture in Spring Hill, Tenn.
“We’re not licensing this from China,” Kurt Kelty, GM’s vice president of battery and sustainability, told Fortune .
By his own account, most of the industry considers LMR a long shot, and GM made the call with perhaps 60% to 70% of the data.
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