Even Nvidia’s own research teams can’t get enough GPUs amid the race for AI computing power
- 4 hours ago
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FORTUNE — I sat down with Bryan Catanzaro, who leads applied deep learning research at Nvidia, overseeing teams working on AI-driven graphics, speech recognition, and simulation. Catanzaro was also among the first, back in the early-to-mid 2010s, to notice researchers snapping up Nvidia GPUs to train AI models—a signal that helped push CEO Jensen Huang to double down on AI, setting the stage for the company’s now-historic run.
Today, though, even Catanzaro’s teams are struggling to access enough GPUs. “My team uses AI very deeply in our work, and their primary complaint is they want higher limits,” Catanzaro told me. “They want more GPUs.”
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