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

From August 25 to 27, 2023, the 19th Summer Summit of the 2023 Abuli China Entrepreneur Forum with the theme of "focusing on the Greater Bay area, Innovation for Development-working together to build Chinese-style Modernization" was held in Shenzhen. Dr. Chen Ning, Chairman and CEO of Yantian Lifei, was invited to attend and discuss "what kind of artificial intelligence the world needs" with industry experts.

The chip is the core base to support the large model. With the start of the "hundred model war", the AI chip has also received a lot of attention.

When talking about the development of AI chips, Dr. Chen Ning mentioned that chips can be simply divided into two categories: one is training chips, and the other is reasoning chips. In fact, almost all of our focus today is on the training chip, or the training-based training and push integrated chip. But for the AI algorithm, training is only the beginning, reasoning and application is the ultimate goal, and the algorithm that produces a large model will eventually be applied on the ground.

Robots, driverless cars, all kinds of sensors, what iTunes needs more is reasoning chips. In the future, the market demand for reasoning chips may be greater than that for training chips.

Therefore, Yuntian Lifei has always adhered to the "algorithm chip", so that the chip can meet the needs of different scenarios. The AI chip DeepEdge10 developed by Yuntian Lifei at the end of last year was successfully taped out, which efficiently supports matrix multiplication in Transformer model. It can be used in the field of edge CV large model reasoning, and can be widely used in AIoT edge video, mobile robot and other scenarios.

It is reported that DeepEdge100 can provide 8-50 TOPS (INT8) integer computing and 2-8T FLOPS (FP16) floating-point computing power to meet the market requirements for chip algorithm diversity, accuracy, power density and efficiency. For all kinds of application scenarios, Yuntian Lifei has developed three chips: Edge10C, Edge10 Standard Edition and Edge10Max. Among them, Edge10C adopts 8-core CPU, Computational Power 8 Tops,Edge10 Standard Edition adopts 10-core CPU, and Computational Power 12 Tops, both of which are used in edge computing and reasoning fields such as intelligent security, smart city and intelligent manufacturing.

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