A million here, times a million there. Pretty soon you're talking about big numbers. So Nvidia claims for its AI accelerating hardware in terms of the performance boost it has delivered over the last decade and will deliver again over the next 10 years.
The result, if Nvidia is correct, will be a new industry of AI factories across the world and gigantic breakthroughs in AI processing power. It also means, ostensibly, AI models one million times more powerful than existing examples, including ChatGPT, in AI processing terms at least.
In Nvidia's earnings call yesterday(opens in new tab), CEO Jensen Huang claimed that Nvidia's GPUs had boosted AI processing performance by a factor of no less than one million in the last 10 years.
«Moore's Law, in its best days, would have delivered 100x in a decade,» Huang explained. «By coming up with new processors, new systems, new interconnects, new frameworks and algorithms and working with data scientists, AI researchers on new models, across that entire span, we've made large language model processing a million times faster.»
Put another way: no Nvidia, no ChatGPT. The AI language model that is said to run on around 10,000 Nvidia GPUs and has captured the world's consciousness by demonstrating something akin to its own actual consciousness in recent months wouldn't be here without Jensen.
And, of course, the team at OpenAI who actual put it into operation.
If one million times the performance in the last decade isn't impressive enough, Huang has news for you: Nvidia's going to do it again.
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