Nvidia states that its AI-accelerating hardware has significantly improved performance over the past 10 years and will continue for the next decade. When you add up all of these increments, it adds up to some large numbers!
Nvidia’s predictions could create a new sector of AI-driven factories around the globe, potentially leading to massive breakthroughs in AI power. This might mean that current AI model, such as ChatGPT, become up to one million times more powerful in processing capabilities.
Yesterday on Nvidia’s earnings call, CEO Jensen Huang reported that in the last ten years, AI processing performance has increased by an astounding one million times due to their GPUs.
Huang says:
“Moore’s Law, in its best days, would have delivered 100x in a decade.”
“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.”
Without Jensen Huang, the co-founder, and CEO of Nvidia Corporation, ChatGPT – an AI language model reportedly powered by approximately 10,000 Nvidia GPUs- has drawn attention worldwide due to its remarkable capacity for mimicking human consciousness – would never have been created.
Suppose one million times the performance in the last decade isn’t impressive. In that case, Huang has something to tell you: Nvidia will do it again, and this time they have the assistance of OpenAI’s team, who are responsible for putting it into action.
Huang went on to say:
“Over the course of the next 10 years, I hope through new chips, new interconnects, new systems, new operating systems, new distributed computing algorithms and new AI algorithms and working with developers coming up with new models, I believe we’re going to accelerate AI by another million times.”
The methodology for gauging the purported enhancement in performance is uncertain. Huang has predicted that a million-fold acceleration of AI computing capacity will give rise to what he calls “AI factories.”
Huang continues to say:
“There was a time when people manufactured just physical goods. In the future, almost every company will manufacture soft goods. It just happens to be in the form of intelligence,”
“I expect to see AI factories all over the world,” Huang explains. “There will be some that are large, and there are some that will be mega large, and then there’ll be some that are smaller.”
“My expectation is that you’re going to see really gigantic breakthroughs in AI models in the next company, the AI platforms in the coming decade. But simultaneously, because of the incredible growth and adoption of this, you’re going to see these AI factories everywhere.”
It appears that AI factories are a global phenomenon. No one can be certain when they will reach the point of full awareness and take control of the world, but if an AI model is as powerful as ChatGPT, it could happen sooner than expected. I welcome this development…
Jeremy has enjoyed the technological and computing world since the 90nm Netburst era, often delving into detailed discussions on monitor input lag and overshoot or taking a closer look into lithography. He also loves hearing machines go “ping!” playing tennis and tinkering around with cars.
The recent prediction by Nvidia that AI models will become one million times more powerful than ChatGPT within 10 years is a significant milestone in the evolution of AI technology. This advancement can potentially revolutionize the healthcare, finance, and transportation industries and transform our lives and work. However, as AI technology continues to advance, we must remain mindful of the ethical implications and ensure that it is used for the betterment of society.
We must invest in education and training to ensure that the workforce is prepared for the changes that AI will bring. Overall, AI’s potential is limitless, and the prediction by Nvidia is just the beginning of what promises to be an exciting journey of discovery and innovation.
Source: PC gamer
