Academician Zheng Weimin: Domestic AI Chips Can Be Used If The Ecological Improvement Is Improved Even If 60%Of The Performance

7According to the news on the 9th, at the recent information technology meeting, Zheng Weimin, an academician of the Chinese Academy of Engineering and a professor of computer department of Tsinghua University, said that the core problem of domestic AI chips is that the ecosystem is not perfect.

He believes that although domestic AI chips have made significant progress in hardware performance, due to the immature software ecosystems, users have poor experience.

Zheng Weimin emphasized that the computing power is the main expense of the large model industry, accounting for 70%of the cost of training in large models and 95%of the reasoning cost of reasoning.

He pointed out that if the domestic AI chip ecosystem improves, even if it can only achieve 60%of foreign chips, users will be willing to use it.

He further explained the importance of the ecosystem and believes that if an artificial intelligence software that was originally developed on the Nvidia platform can easily transplant it on the domestic system, which means that the ecosystem is good.

Conversely, if the transplantation process is difficult and takes up to one year or two years, the ecosystem is immature.

In order to improve the ecosystem of domestic AI chips, Zheng Weimin proposed ten softwares that need to be done, including programming framework, parallel acceleration, communication library, operator, AI compiler, programming language, scheduling, memory distribution system, fault -tolerant system, fault -tolerant systemAnd storage system.

He believes that as long as these areas are optimized, even if the hardware performance is not top, users will choose to use domestic AI chips because of a good experience.

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