经过二十年的发展，云计算已成为数字经济的主要服务形态，有效支撑了各行各业数字化转型。但随着千亿参数大模型等AI技术的迅猛发展，传统云服务在算力供给、网络传输及服务形态等方面已难以满足需求，迫切需要构建适应智能时代的云计算新范式。4月10日，中国移动发布《云智算技术白皮书》，业界首次提出下一代云计算范式——云智算技术体系和十大关键技术方向，推动“云计算”向“云智算”升级，带领云计算产业技术革新。

At the important moment of the transition of technology and industry from cloud to intelligence, China Mobile took the lead in proposing a cloud intelligent computing paradigm with AI as the core driving force, and upgraded the cloud intelligent computing architecture from the three layers of IaaS (infrastructure as a service), PaaS (platform as a service) and SaaS (software as a service) of traditional cloud computing to four layers of AI IaaS, AI PaaS, MaaS (model as a service) and AI SaaS, promoting the transition from "computing network brain" to "computing network intelligent brain". Among them, AI IaaS is an infrastructure service provided for the integration of computing and networking, which promotes the "joint computing network" of multiple types of computing power through the ubiquitous network, and relies on the computing network brain to realize flexible scheduling and out-of-the-box use of computing power. AI PaaS is a tool platform service for all kinds of AI developers, providing a tool chain and development environment covering the entire process of AI R&D, operation, and testing, significantly improving the efficiency of AI innovation in the whole society. MaaS is a model service that accelerates the one-stop implementation of AI, bringing together resources such as models, capabilities, and agents to promote the popularization and penetration of AI in various industries. AI SaaS is an AI application service covering diverse scenarios, enabling the digital and intelligent transformation of production methods, lifestyles, and social governance methods. Through the deep integration of computing network infrastructure and artificial intelligence core technology, China Mobile can provide a new cloud service model of integrated computing network resources, full-stack development environment, one-stop model services, and diversified scenario applications, effectively reducing the computing cost of enterprises and individual users, and realizing the convenient development of AI applications.

The "Cloud Intelligent Computing Technology White Paper" released this time systematically defines the cloud intelligent computing architecture and proposes ten key technical directions, covering cutting-edge fields such as computing power chips and large model services, providing a technical roadmap for the development of cloud intelligent computing in the industry. (Reporter Li Zhengwei)

Source: Guangming Network