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Can Nvidia's ‘Hyper Moore's Law' Spark An AI Revolution? [Forbes]
Last nvidia corporation earnings: 2/13 04:20 pm
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graphics and interactive techniques, in the Colorado Convention Center Monday, July 29, 2024, in Denver. (AP Photo/David Zalubowski) Copyright 2024 The Associated Press. All rights reserved. Jensen Huang, the CEO of Nvidia, discussed on the No Priors AI-focused podcast the concept of "Hyper Moore's Law." He suggested that AI computing performance could follow a curve even steeper than Moore's Law, which traditionally represents a doubling of transistor count every two years. Huang stated, “I wouldn't be surprised if the way people think about Moore's Law, which is 2X every couple of years, we're going to be on some kind of hyper Moore's Law curve.” He added to this concept by explaining the compounding effect, saying, “When you double or triple every year in just a few years it adds up. It compounds really, aggressively.” Long the guiding concept in computing, Moore's Law—the observation made by Intel co-founder Gordon Moore predicts that the number of transistors on a device
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