From the second half of last year to this year, AI chips blossomed everywhere. Many AI start-ups in China have introduced their own AI chips, but Victor Peng, president and CEO of Cellings, the world's largest FPGA manufacturer, poured cold water on them, saying that start-ups should not start making AI chips from scratch.

From the cloud to the network to the edge of today's innovations, these have brought great opportunities to semiconductor, the scale of 200 billion dollars, as a semiconductor has been running for 50 years Intel, continues to focus on the Internet of Things chip, edge computing and computer vision three major focus, including Movidius AI chip, FPGA development suite, and so on. Leading the revolution of artificial intelligence and automation.

For today's Microsoft, Windows business is no longer their focus, and related businesses have been marginalized.

CNBC reported in June 12th that at the end of March, the Microsoft (Microsoft Corp.) Azure public cloud department issued at least three signs to announce and solicit personnel related to the development of artificial intelligence (AI) chip functions. In April of this year, the team launched the chip project manager, collaborative design of hardware and software, and AI acceleration and optimization of engineer positions.

According to foreign media reports, China's ASIC chip maker Bitmain, which has previously sold 80% of the world's mining industry, is now considering entering a challenging field of artificial intelligence, hoping to develop a bitcoin AI chip.

According to foreign media reports, artificial intelligence (AI) is one of the most popular areas today. Over the past three years, the global investment in artificial intelligence has exceeded $60 billion, and artificial intelligence start-ups more than 1700.

Recently, the Alibaba Dharma institute told Frontline that Alibaba Dharma is developing a neural network chip, Ali-NPU, which will be used in AI reasoning calculations such as image video analysis and machine learning. According to the design, the chip's price/performance ratio will be 40 times that of current products. The research and development of this chip will better realize the application of AI intelligence in business scenarios, improve computing efficiency and reduce costs.