Nvidia's Huang Says His AI Chips Are Improving Faster Than Moore's Law

Nvidia's AI chips are advancing faster than Moore's Law, the semiconductor industry's historical performance benchmark, according to chief executive Jensen Huang. 'Our systems are progressing way faster than Moore's Law,' Huang told TechCrunch. Nvidia's chips have improved thousand-fold over the past decade, outpacing Moore's Law's prediction of doubled transistor density every year, Huang said. He adds: We can build the architecture, the chip, the system, the libraries, and the algorithms all at the same time. If you do that, then you can move faster than Moore's Law, because you can innovate across the entire stack.

Moore's Law was so important in the history of computing because it drove down computing costs. The same thing is going to happen with inference where we drive up the performance, and as a result, the cost of inference is going to be less.

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