According to relevant data, in 2017, there were 384 investment events in the domestic AI field, and the total investment has exceeded 62.2 billion yuan. "Are you going to be an AI chip?" is a problem that many AI companies will encounter.
As the most basic part of the AI ​​chip, the preparation for “striking the city†is well prepared in advance, which is also paving the way for subsequent development. According to statistics, China has also set a goal of developing the semiconductor industry. In 2016, the yield of the chip country was only 26.2%. By 2025, the national productivity will increase to 70%. This means that domestic semiconductor manufacturing capabilities will also increase simultaneously.
In contrast, in the research and development of AI chips, foreign semiconductor giants are not very active at present, mainly based on acquisitions and cooperation. Taking Intel as an example, they have successively acquired Altera, Nervana, Movidius, Mobileye and many others. The company has won a variety of chip processor technologies such as FPGA.
According to Wang Tianfeng, a special expert of the National “Thousand Talents Programâ€, IEEE Fellow and Nanjing University professor, “The chip is generally a giant game, but many international companies, such as Broadcom in the US and some big companies in Japan and Korea. R&D investment in AI is not large. The main reason is that machine learning or artificial intelligence algorithms are not the traditional strengths of these companies. Of course, some companies that focus on profit margins do not want to enter the less mature AI market. If the startup AI chip company Focusing on specific application scenarios is likely to have a place in the fierce market competition."
Professor Lin Fujiang believes that domestic startups can break through the AI ​​chip. The special application of "interface" chip (for the terminal chip) is not too big, and the algorithm is the main one. Small companies have great opportunities. ."
Indeed, most computer vision or natural language processing startups now rely on technology applications to develop chips around the terminal side. It is no exaggeration to say that hardware and software solutions + front-end and end-to-end are becoming a major trend. At present, the application of AI chips is mainly based on several subdivisions such as finance, security, Internet of Things, and automatic driving.
AI chips are more of a concept industry. They introduce some things that can solve algorithm problems into chips. It is generally believed that there will be no general-purpose AI chips, and there will be no one or two large chip manufacturers to unify.
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