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Nvidia CEO Huang says next-generation AI will need more compute


Jensen huang, c-founder and chief of shida of Nvidaia of Nvidia’s corp., for a news in Taipai, and tuesday, and the news, and the Come 19st, the xio, waiting, the Xiu 19th

The Trubelle Chih | BLOOMberg | Getty images

Nvidia CEO Jensen Huang said the generality AI has to have more ancient patterns as a result of the new approach reasonable to answer “

“The amount of computation required to make that reasoning process is 100 times more than we do,” Huang has told the jon fortake in a Chipmaker’s Jon Report to earn the quarter. I am

Mentioned models including r1 r1 of r1 of R1, operate

Nvidia reported results that analysis exhilaration in the table held in the table, with the joint of 78% from a year before $ 39.33 billion. Data center performance, which includes transformation processing unit processing, for the artificial intelligence, has assumed 93% to $ 35.6 billion more than 90% of the total income.

The company’s stock did not recovered after Lose 17% of their value On January 27, his worst abandoned by 2020. This drop was disappeared from the Chinese AID Laboratory that may potentially reenter in the meal of infrastructure.

Huang has got away in that idea in the interview on Wednesday, saying that the patterns of popular popular reasoning that need more chips.

“Deepseek was awesome,” Huang said. “It was awesome because they open sour than reasoning pattern that is class absolutely world.”

Nvidia was restricted to do business in China because of export checks that have been increased at the end of the offer administration.

Huang said the percentage of the company in China has fallen in the middle because of the export restrictions, adding that there are other competitive pressures in the country. Include from Huawei.

The developers seek the ways around the export controls through the software, either for a supercomputer, a personal computer, a game account, Huang said.

“In the end, software finds a way,” he said. “Infinately make the software works on any system you are target, and create a large software.”

Huang said the Gb200 nvidia, who sold in the United States: December faster than versions of the versions that sells in China’s School.

Nvidia counts on the billions of infrastructure dollars passed year from the largest technical companies for a challenging amount of their income. The company was the greatest benefit of the AI ​​boom, with returning more than five straight quarters in the middle of the 2024 before the decelerated growth slightly.

Wat: Chris susquehanna rolland on the results nvidia Q4

Chris susquehanna rolland on the results nvidia Q4



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