From sharing bicycles to autonomous driving, from smart homes to unmanned stores, we have fully entered the “Internet of Things†era from the “People's Network†era. In the new era of intelligent interconnection of all things, the amount of data explodes exponentially, not only requires big data analysis in the cloud to be transformed into insight, but also has higher requirements for extracting analytical data at the edge. The edge calculation that comes into being will be in the whole object. The development of networking plays a key role. As an innovative method to analyze and mine the value of data, artificial intelligence can fully utilize and release the value of data, and bring new development opportunities to edge computing. Edge computing is critical to the challenges posed by data torrents. First of all, if the massive data emerging from the spurt type gathers in the cloud, it has great requirements on the bandwidth and brings a serious computational burden. This requires the necessary filtering and throttling of the corresponding data on the edge side, and at the same time Part of the computing power allows different data to be properly configured into the appropriate storage and computing resources. Second, many IoT application scenarios require very high levels of real-time data, while edge computing can process data more agilely and efficiently. In addition, edge computing can better protect data and meet security needs. The Internet of Things is an end-to-end system that emphasizes edge computing and does not deny the enormous role and value of cloud computing. Cloud computing and edge computing are two different characteristics of data processing. Edge computing deals with local data. To form a complete insight into the data, it is necessary to comprehensively analyze the data collected at different edges in the cloud. Mutual complement each other. Edge computing is the inevitable result of the intelligent extension of cloud intelligence to the end. The future trend is not that edge computing replaces cloud computing, but rather a benign synergy between the two to jointly promote the development of the Internet of Things. We also see that load integration on the edge side has found a breakthrough for artificial intelligence in edge computing applications. "Things" will generate huge amounts of data when connected to the Internet, and data will become a new oil. Artificial intelligence provides a new driving force for data collection, analysis and value-added, and also provides new kinetic energy for the development of the entire Internet of Things. Virtualization technology integrates independent workloads on different devices onto a unified high-performance computing platform, enabling each subsystem to effectively share computing, storage, and network resources while maintaining a certain degree of independence. The edge side is loaded and integrated, and the resulting node is both a summary point of the data and a control center. Artificial intelligence can collect analytical data at the nodes and extract insights at the nodes to make decisions. How to apply artificial intelligence to the edge side? Network optimization will be one of the key technologies. Intel believes that network optimization can be done with low bit, pruning and parameter quantization. Low bit refers to reducing storage and computational load by reducing accuracy without affecting final recognition. Pruning refers to cutting off unnecessary computational requirements and reducing computational complexity. Parameter quantization means that clustering can be performed according to the characteristics of the parameters, and is expressed by relatively simple symbols or numbers, thereby reducing the demand for artificial intelligence for storage. The combination of edge computing and artificial intelligence to promote the development of the Internet of Things is a long-term process. Intel will focus on the end-to-end platformization strategy, the deep cooperation of the vertical industry, and the open ecosystem construction to accelerate the development of edge computing, thus promoting the entire process of the Internet of Things. As Intel CEO Coshua said, data is the most important force today, and the data torrent brought by smart connected devices is the lifeblood of future technological innovation . Intel is committed to bringing artificial intelligence to the edge, leveraging industry partners to accelerate the development of the Internet of Things, harnessing data torrents and unlocking data values ​​through cloud-to-edge computing solutions. 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