Why DeepSeek model needs ‘100 times more computing’

CEO Jensen Huang, China’s beginning Deepseek’s new artificial intelligence model with CNBC’s meeting with Jim Cramer, discussed the effect of a new artificial intelligence model NvidiaAnnual GTC Conference. Huang claimed that the groundbreaking model would actually require calculation more than most of the industry thought.

According to Huang, Deepseek’s R1 model is “fantastic” because “the first open picturesque justification model”. He explained that the model violates step by step problems, you can get acquainted with different answers and check if the answer is correct.

“This reasoning AI calculates 100 times more than the foolish AI,” he said. “It was in the opposite, the complete reflection that everyone did.”

In late January, Deepseek’s model, investors, less energy and money using the model and the highest competitors, caused a mass sale in AI shares. In a session in Nvidia, 17% in one session decreased by 17% to a US company for a one-day day.

Huang said that the company provides information about the company’s partnership with companies, including the new AI infrastructure, including companies, including the company’s conference, including robotics and enterprises Dell, Hpe, Mamur, Serviceenow and Community. The AI ​​was widely reflected in BOOM, the hype was purely from the Generative AI to models. It also forecasted the cost of the world’s computational capital expenditures to the end of the decade and the majority of this money would be used for AI.

“Thus, the opportunity of this decade is very great, as a trillion dollar percent,” Huang said. “We have a lot of infrastructure to build.”

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