In the era of intelligent computing, the demand for computing power has begun to develop collaboratively from the cloud to the edge, and digital business, IoT and artificial intelligence scenarios are accelerating in thousands of industries. As the world's leading computing power infrastructure provider, Inspur Information focuses on smart computing strategies and provides a steady stream of advanced, green smart computing power for the digital and intelligent development of enterprises.
Not long ago, the authoritative research organization Gartner released the "Industrial Internet of Things (IIoT) Edge Computing Solutions Market Guide." Gartner pointed out that by 2025, it is expected that 30% of industrial control systems will have analysis and AI edge reasoning capabilities, while in 2021, this proportion will be less than 5%. Edge computing will usher in rapid development in the industrial Internet of Things scenario and feed back Cloud computing market. As the number one manufacturer in China's edge computing server market, Inspur Information has become its benchmark supplier of global IIoT edge computing products, providing an important reference for industrial IoT users to choose solutions.
It is predicted that in the future, 20% of intelligent computing power will be processed in the cloud, 60% will be processed at the edge, and 20% will be processed on the device side. Edge computing is of great significance as a bridge connecting the cloud and the device. Therefore, Inspur Information seizes every market development opportunity from cloud, AI, to edge. In 2016, Inspur Information seized on the AI explosion and began to deploy smart computing; in 2017, with the development of AI and 5G, Inspur Information predicted the market opportunities of edge computing, began to deploy server research and development for edge scenarios, and cooperated with the upstream and downstream industries Partners jointly develop standards for edge servers; currently, Inspur Information's cloud-to-end edge computing infrastructure involves four series, namely edge micro-servers, portable AI servers, edge servers and edge micro-centers.
At present, the development levels of energy, manufacturing, transportation and other industries are not the same, and their application levels can be roughly divided into three categories: basic-level data processing, such as predictive maintenance of oil wells; complex-level event processing, such as remote fault diagnosis; and high-level AI analysis, such as in oil exploration, analyzing exhaust gas combustion through video and telemetry data. At this stage, most applications are still in the primary stage of data collection and data aggregation, while more advanced AI application scenarios such as intelligent quality inspection and intelligent operation and maintenance pose challenges to edge computing manufacturers’ equipment performance, power consumption, volume, temperature and humidity. More demand.
Therefore, Inspur Information will continue to strengthen edge computing product innovation, strengthen ecological cooperation, provide better edge products and solutions for the industrial Internet of Things industry, and continue to empower the development of the smart era.