Nvidia: AI chips are improving faster than Moore's law

The AIs Nvidia's are moving faster than the law of , the benchmark point of the semiconductor industry, according to CEO Jensen Huang.

The theory that the number of transistors in a dense integrated circuit doubles every two years is called "Moore's Law", and it was formulated on 19-04-1965.

The “Law” is named after Intel microprocessor co-founder Gordon Moore, who described in 1965 why the number of transistors in a dense integrated circuit would double every year for at least a decade thereafter. Looking again at the data for the next decade, he revised his "prediction" to required to double the transistors of a dense integrated circuit in two years.

The prediction was actually verified, since the number of transistors in an integrated circuit has doubled every two years since then. Moore's prediction, after its practical verification, was called "Moore's Law".

Let's go to today….

"Our systems are moving much faster than Moore's Law," Huang told TechCrunch. Nvidia's chips have improved thousands of times over the past decade, surpassing Moore's Law's prediction of doubling transistor density every year, Huang said.

And he adds:

We can build the architecture, chip, system, libraries and algorithms at the same time. If you do that, then you can move much faster than Moore's Law, because you can innovate across the entire stack.

Moore's Law was so important in the history of because every year it reduced the cost of computers.

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giorgos

Written by giorgos

George still wonders what he's doing here ...

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