AI models after 10 years is predicted to be 1 million times more powerful than the current ChatGPT model. This ground breaking technology was predicted by Nvidia’s founder Jensen Huang at Nvidia’s recent earnings conference. The focus of the conference shifted from game graphics to Artificial Intelligence.
After the development of ChatGPT, the company’s next-generation AI model, was recently unveiled by Nvidia, the world leader in artificial intelligence technology. According to reports, ChatGPT, the dominant AI model at the moment, is a million times less effective than this breakthrough approach.
The field of artificial intelligence is predicted to undergo a revolution thanks to this cutting-edge model, which promises to create new opportunities for data analysis and study.
One of the most well-known Artificial Intelligence (AI) models is ChatGPT, which has grown to be a vital tool for many in the AI sector. In recent months, the media has frequently referred to it by name. Several online users believe that Jensen Huang, the founder of Nvidia, lied to the board of directors and shareholders when he said that AI models will be one million times more powerful than ChatGPT in 10 years. The statement, nevertheless, might not be as absurd as it first seems.
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One the one hand, there are claims that the A100, which costs around $10000, has emerged as one of the most important tools in the AI sector. According to reports, ChatGPT uses roughly 10,000 Nvidia GPUs. As a result, various media outlets stated plainly that ChatGPT would not exist without Nvidia. This demonstrates how crucial the Nvidia A100 is to the sector. It is a remarkable accomplishment that Nvidia’s market value has increased by more than 210 billion dollars since the start of the year, nearly twice that of Intel.
On the other hand, Nvidia sees an exponential rise in AI model development in the future. Jensen Huang compared the future development of AI models to Moore’s Law, which can achieve a 100-fold rise in the best development stage within 10 years. We have increased the processing speed of huge language models by a factor of a million by suggesting new processors, systems, frameworks, and algorithms as well as working with data scientists and AI researchers to create new models during the entire time period. In addition, Jensen Huang said that we had done it in the previous ten years and will do it again in the following ten. However, he thinks that AI technology has reached a turning point and that “by all accounts, a new era of computing” has begun.
It may be claimed that Nvidia is one of the main beneficiaries of ChatGPT’s overall impact. More than 21,000 open source AI papers that were published as of December of last year mentioned Nvidia chips, according to sources from the academic community. The A100 has risen to become the third-most used chip in history among them.
Jensen Huang also used Moore’s Law as an analogy while projecting the future advancement of AI models: Moore’s Law can accomplish a 100-fold rise after 10 years in the best development stage. We have increased the processing speed of huge language models by a factor of a million by suggesting new processors, systems, frameworks, and algorithms as well as working with data scientists and AI researchers to create new models during the entire time period.
Jensen Huang said that we have already done it in the last ten years and will do it once more in the following ten. He wants to see AI factories everywhere. There is no denying that the whole earnings conference call has made AI its keyword. A perceptive internet user estimated that 23 times in five minutes the word “AI” was used.
It may be claimed that Nvidia is one of the main beneficiaries of ChatGPT’s overall impact. It was discovered that roughly 10,000 Nvidia GPUs power ChatGPT. And there are signs that Nvidia is still reaping the benefits of ChatGPT, particularly when ChatGPT is implemented gradually. In addition to the single-card A100, Nvidia now offers the DGX system, which consists of 8 A100s and allows businesses to collaborate to handle peak times or improve models.
>Perhaps it’s not unexpected that 1 million times was forecasted in this way given Nvidia’s influence? What are your thoughts on Jensen Huang’s forecast? In the coming 10 years, will AI’s growth rate continue to increase exponentially, or is this forecast overly optimistic? Post your ideas in the comments section below!
This article was originally published on medium at https://medium.com/inkwater-atlas/chatgpt-nvidias-founder-lua-huang-predicts-next-generation-ai-model-will-be-1-million-times-more-d5ddb271df4b
