With the ongoing deployment of the new generation of communication infrastructure and edge computing applications, an increasing number of applications and data processing are being conducted at the edge. This presents new requirements for the deployment and scheduling of traditional computing infrastructure. Distributed computing offers new ideas for on-demand access to computing power across various scenarios in the digital transformation of government and enterprises by deploying different scales of computing power across different ranges.
According to Xinhua Finance in Shanghai on April 27 (Reporter Gao Shaohua), as the new generation of information and communication infrastructure continues to be built and edge computing applications are deployed, more applications and data processing are being conducted at the edge. This presents new requirements for the deployment and scheduling of traditional computing infrastructure. Distributed computing provides new ideas for on-demand access to computing power across various scenarios in the digital transformation of government and enterprises.
Distributed computing has been included in the “Top Ten Keywords for Digital Transformation of Government and Enterprises in 2024” by the China Academy of Information and Communications Technology (CAICT). The “Research Report on the Development of the Edge Computing Industry (2024)” compiled by CAICT points out that edge AI is expected to accelerate the widespread application of artificial intelligence. With advantages such as low latency, low cost, wide distribution, and high security, edge computing provides solid support for the large-scale development of AI technologies.
In the past year, various regions have successively introduced relevant policies to support the vigorous development of the computing power industry, providing clear policy guidance for upstream and downstream enterprises in the computing power industry. In 2024, China Tower will initiate the construction of distributed computing power pools. Ye Zhen, director of the China Tower Information Technology Research Institute, stated that computing power is shifting from a centralized to a “cloud-edge-end” distributed paradigm. With the increasing popularity of large language models and industrial models, edge computing power will welcome a strategic opportunity period as the digital foundation for industrial intelligence development.
On April 19, 2024, the Dell (Suzhou) Edge Computing Joint Innovation Center, jointly initiated by Kege IoT Technology Co., Ltd. (hereinafter referred to as “Kege”) and Dell Technologies Group, was officially launched. On June 28 of the same year, Kege and Kege Quanzhu (Suzhou) IoT Technology Co., Ltd. (hereinafter referred to as “Kege Quanzhu”) partnered with Intel and Dell Technologies Group to jointly launch infrastructure solutions for central training and edge inference. Recently, it was reported that Kege and Kege Quanzhu’s computing power business involves upstream, midstream, and downstream of the industry chain. Since its launch, it has made breakthroughs in smart property, smart factories, and smart parks, progressing from proof of concept (POC) pilots to partial commercialization and then to comprehensive promotion across provinces and cities.
Driven by the wave of digitalization, the construction of smart communities (parks) has become an inevitable trend in modern urban development. Kege and Kege Quanzhu, in collaboration with two major ecological partners, China Tower and Wanwu Cloud, have jointly created a distributed edge computing service solution for communities, co-building a new generation of digital infrastructure for cities. On one hand, Kege and Kege Quanzhu, in partnership with China Tower, provide on-demand distributed edge computing services based on communication base station machine rooms, offering customers nearby, low-cost, shared computing services. On the other hand, Kege collaborates with Wanwu Cloud to provide basic application services for property management, promoting the intelligent and digital transformation of property management services.
According to reports, in September 2024, the first commercial network node for property scenarios successfully went online, and it is now being promoted nationwide, with construction already underway in nearly 50 communities across 10 cities in 7 provinces. In February of this year, Kege also became a first-level partner for distributed edge computing and smart community (park) directions with China Tower’s Intelligent Connection business.
In the industrial sector, to meet the high security and low latency computing power needs for the digital transformation and intelligent upgrade of small and medium-sized industrial enterprises, Kege and Kege Quanzhu have developed a “plug-and-play” on-site edge computing service product, providing enterprises with fully packaged standard container computing and application software production lines. A large listed multinational company in Zhejiang, with factories mainly located in Zhejiang Province and Southeast Asia, has multiple visual inspection production lines. By collaborating with Kege, the company has unified the operation and management of its IT infrastructure across all factories, flexibly allocating computing and storage resources as needed, achieving unified monitoring and scheduling of computing resources, accelerating the deployment speed of computing nodes by 92%, and saving nearly 90% in operational and maintenance costs.
In 2023, the Ministry of Industry and Information Technology and seven other departments jointly issued the “Guiding Opinions on Accelerating the Transformation and Upgrading of Traditional Manufacturing Industries,” proposing that by 2027, the level of high-end, intelligent, green, and integrated development of traditional manufacturing industries in China will be significantly improved. In Kege’s view, there is still a significant gap in the demand for the “intelligent transformation and digital upgrade” of traditional manufacturing industries. For Kege and Kege Quanzhu, whether for small and medium-sized traditional manufacturing enterprises or large listed companies, they can provide “plug-and-play” on-site edge computing services to achieve the goal of “intelligent transformation and digital upgrade” for enterprises.
During the Spring Festival of the Year of the Snake, DeepSeek gained immense popularity, becoming a phenomenon in the global AI community. In February of this year, Kege IoT received the “Top Ranking” and “Horse Racing” scientific research project from the headquarters of China Tower—research on edge distributed computing power and AI model privatization deployment solutions. This project aims to build edge computing nodes and deploy DeepSeek AI model applications through edge computing and edge inference technologies, providing enterprises with localized, privatized computing power and private DeepSeek model services to meet personalized needs.
Chen Xiaotian, chairman of Kege IoT Technology Co., Ltd., told reporters that the distributed edge AI computing power service products and distributed edge AI computing power network jointly created by Kege, Kege Quanzhu, and China Tower will become part of the urban AI computing power foundation, achieving unified networking, scheduling, billing, transaction, operational services, and security supervision of computing resources. In the future, it will cover more application scenarios, and the company will continue to promote excellent cases to expand nationwide, allowing computing power to be as accessible as water and electricity, providing localized computing services anytime and anywhere for various industries, and continuously driving the computing power industry in China towards innovation.