Nvidia CEO Jensen Huang says the performance of his company’s AI chips is advancing faster than historical rates set by Moore’s Law, the rubric that drove computing progress for decades. “Our systems are progressing way faster than Moore’s Law,” said Huang in an interview with TechCrunch on Tuesday, the morning after he delivered a keynote to a 10,000-person crowd at CES in Las Vegas. Coined by Intel co-founder Gordon Moore in 1965, Moore’s Law predicted that the number of transistors on computer chips would roughly double every two years, essentially doubling the performance of those chips. This prediction mostly panned out, and created rapid advances in capability and plummeting costs for decades. In recent years, Moore’s Law has slowed down. However, Huang claims that Nvidia’s AI chips are moving at an accelerated pace of their own; the company says its latest data center superchip is more than 30x faster for running AI inference workloads than its previous generation. “We can build the architecture, the chip, the system, the libraries, and the algorithms all at the same time,” said Huang. “If you do that, then you can move faster than Moore’s Law, because you can innovate across the entire stack.”

Full report : Jensen Huang says Nvidia’s AI chips are improving faster than Moore’s Law, claiming that today’s Nvidia AI chips are 1,000x better than those made 10 years ago.