The audience tried out AI translation equipment at the 2021 World Computing Conference. Photographed by Xinhua News Agency reporter Chen Sihan At the 2021 Artificial Intelligence Computing Conference held recently, the 2021-2022 China artificial intelligence computing power development evaluation report jointly released by IDC and Inspur information shows that compared with 2020, artificial intelligence plays a particularly significant role in promoting finance, manufacturing, energy, public utilities, transportation and other industries. At the same time, the computing infrastructure represented by the intelligent computing center makes computing services easy to use and solves the supply problem of computing services by providing public computing, data and algorithm services. "Over the past four years, we have found that the computing power of artificial intelligence has been paid more and more attention, and the applications in this field are becoming more and more mature. Both the diversification of chips and the computing power and capacity of artificial intelligence servers have been greatly improved compared with those four years ago." Zhou Zhengang, assistant vice president of IDC enterprise research, told the economic daily. Zhou Zhengang said that compared with last year, the penetration of artificial intelligence in various industries is improving, especially in the Internet industry and financial industry. In addition, the application of artificial intelligence in manufacturing, transportation and energy industries is also more in-depth. It is understood that more than 60 countries and regions around the world have issued AI policies and national AI strategies. IDC predicts that the total investment of global enterprises in artificial intelligence software, hardware and services will exceed US $85 billion in 2021 and is expected to increase to US $204.5 billion in 2025, with a five-year compound growth rate of 24.5%. However, Wang Endong, academician of the Chinese Academy of engineering and chief scientist of Inspur, believes that artificial intelligence has also brought exponential growth demand for computing power, and the computing industry is facing the trend and challenge of diversification, voluminousness and ecological discretization. On the one hand, diversified intelligent scenarios need diversified computing power, which has become the top priority for the continuous development of artificial intelligence; On the other hand, there is still a huge gap in the transformation from chip to computing power, and the value of multiple computing power has not been fully released. How to quickly complete the innovation from multi chip to computing system has become a key link to promote the development of artificial intelligence industry. The demand for computing power in the industrialization of artificial intelligence is surging. Liu Jun, vice president of Inspur information, said that the development of algorithm models will also be more complex. Large scale models will be the basis of large-scale innovation. The emergence of large-scale models such as "source 1.0" makes it a development trend to build large models and improve the rationality of artificial intelligence processing. At present, the world's well-known artificial intelligence companies have invested heavily in massive models. Google, Microsoft, NVIDIA, Inspur, Zhiyuan Artificial Intelligence Research Institute, Baidu, Ali and other companies have successively launched their own massive models. "One of the core features of massive is that there are many model parameters and a large amount of training data." Liu Jun introduced the Chinese artificial intelligence massive model "source 1.0" developed by Inspur Artificial Intelligence Research Institute as an example. Its number is as high as 245.7 billion and the scale of training data set reaches 5000 GB. "Our pursuit of computational power has no limit," Liu Jun said. Artificial intelligence chips are showing a diversified development trend. The diversification of chips provides an important industrial foundation and richer choices for the acceleration of artificial intelligence industrialization. However, there is still a huge industrial gap between the manufacture of chips and their large-scale use. Taking the development of an artificial intelligence server as an example, the whole system needs to go through more than 30 development processes, use more than 150 processing and manufacturing processes, strictly control the quality of more than 280 key process control points, and realize the optimization and adaptation with the algorithm framework and artificial intelligence application. "To release the value of multiple computing power and promote artificial intelligence innovation, first, we should pay attention to the innovation of intelligent computing system, increase the construction of new artificial intelligence infrastructure, design the chain from technology to application, and form a situation of clear division of labor and collaborative innovation in various fields such as architecture, chip design, system design, system software and development environment; second, we should speed up the promotion Open standard construction will transform diversified computing power into schedulable resources through unified and standardized standards, making computing power easy to use and easy to use, "said Wang Endong. The scale of China's artificial intelligence infrastructure market has maintained rapid growth, and Chinese server manufacturers have become the backbone of the global server market. IDC predicts that the AI acceleration server market will reach US $5.69 billion in 2021, an increase of 61.6% over 2020. By 2025, China's AI acceleration server market will reach US $10.86 billion. China clearly proposes to lay out the national hub nodes of the computing network throughout the country, actively promote the construction of Intelligent Computing Center, and strive to build a universal, safe and reliable modern infrastructure system and ecological network. Intelligent Computing Center has been regarded by more and more local governments as a key information infrastructure to support and lead the development of digital economy, intelligent industry, smart city and smart society, and provide platform support for the development of computing power, data, ecology and industry. (Xinhua News Agency)