


IT Home News on May 26, according to CNBC, NVIDIA CEO Jensen Huang said in an exclusive interview that NVIDIA will usher in a record year, and generative AI will completely change computer architecture.
▲ Picture source: NVIDIA
Huang Renxun believes that the development of CPU has tended to be slow, GPU accelerated computing is the future development direction, and generative artificial intelligence is an application with huge lethality. A better way to put it is: Nvidia believes that computer architecture is undergoing significant changes, and this change is expected to bring more growth opportunities. Data center components could even become a trillion-dollar market.
Huang Renxun explained that the most important component of a computer or server is traditionally the CPU, and major players in this market include Intel and AMD. But with the emergence of AI applications that require a lot of computing power, GPUs will become the protagonist, and NVIDIA dominates the current global AI GPU market.
Huang Renxun said that future data centers will no longer rely on CPUs to complete file retrieval, but will turn to generative data. This also means that the way of retrieving all data will change to AI generating most of the data. Therefore, Huang Renxun asserted that future data centers and supercomputers will not need millions of CPU clusters, only a small number of CPUs can handle it, but these CPUs will be compared with data. Millions of GPUs integrated.
IT House learned that Google’s recently released A3 supercomputer is equipped with 8 NVIDIA H100 GPUs, but only 1 Intel Xeon processor. Huang Renxun said that Nvidia's software is not easy to copy. All software, all software libraries and algorithms must be designed, integrated into the architecture and optimized, and optimized for the architecture. Generative AI will change existing computers. architecture.
The above is the detailed content of NVIDIA Jensen Huang: Generative AI will completely change computer architecture, and graphics cards will be more important than CPUs. For more information, please follow other related articles on the PHP Chinese website!

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