Shulou(Shulou.com)11/24 Report--

Thanks to CTOnews.com netizens Pianke Saohuang 4100 eyes of clue delivery! CTOnews.com, March 27 / PRNewswire-Asianet /-- US chipmaker Nvidia said that cryptocurrency does not make any beneficial contribution to society, although its powerful processors are purchased in large quantities by the industry.

Michael Kagan, chief technology officer of Tu Yuan Pixabay Nvidia, says other uses of processing power, such as ChatGPT, an artificial intelligence chat robot, are more valuable than mining. According to CTOnews.com, the first version of ChatGPT was trained on a supercomputer made up of about 10,000 Nvidia graphics cards.

Nvidia has never embraced the cryptocurrency community wholeheartedly. In 2021, the company even released software that artificially limited the ability of its graphics cards to mine the popular ethersquare cryptocurrency to ensure that supplies were given priority to its preferred customers, including artificial intelligence researchers and gamers.

Kagan said the decision was reasonable because the value of using processing power to mine cryptocurrencies is limited. "all these cryptocurrency things need to be processed in parallel, and [Nvidia] is the best, so people program it to use it for that purpose. they bought a lot and eventually collapsed because there was nothing useful to society for artificial intelligence." Kagan told the Guardian.

"with ChatGPT, everyone can now create their own machine, their own program: just tell it what to do and it will do it. If it doesn't work the way you want it to, you tell it,'I want something different'."

"I never believed [cryptocurrency] was a good thing for human beings," Kagan said. "you know, people do crazy things, but they buy your things and you sell them. But you won't change the direction of the company to support what they do."

Nvidia was originally known for producing powerful PC game graphics cards and played a role in the latest games. Almost coincidentally, Nvidia's products are at the heart of the artificial intelligence craze.

Training a new artificial intelligence system requires billions of dollars worth of computing power, a computing-intensive task that happens to run faster on GPU.

Two weeks ago, Microsoft said it had purchased tens of thousands of Nvidia processors focused on artificial intelligence, the A100 GPU, to support OpenAI workloads. Nvidia has sold 20, 000 of the latest H100 to Amazon's cloud computing AWS service and another 16000 to Oracle.

Nvidia also leases the right to use the chips directly, and its DGX cloud service charges about $37000 a month (currently about 254000 yuan), with eight H100s connected together to form a "cluster."

At the company's annual meeting last week, Jensen Huang, Nvidia's chief executive, described the company as the engine of "the iPhone moment of artificial intelligence" and said the "generative artificial intelligence" it supported would "reshape almost every industry".

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