Given the crucial role and profound significance of cloud-edge collaborative intelligent computing networks for future urban development, this analysis examines the key functions of both centralized and distributed cooperative AI computing power networks in future cities from theoretical and practical perspectives. Taking Beijing as an example, it designs an innovative collaborative architecture scheme of AI computing power featuring a "centralized core hub + distributed edge nodes". The study finds that centralized intelligent computing, with its powerful computational capabilities, supports macro-level applications such as urban digital brains, complex governance models, and large-scale industrial upgrades, serving as a core engine for urban economic growth and innovation-driven development. In contrast, decentralized edge intelligent computing leverages its advantages of low latency, high privacy, and localized processing to empower micro-level applications like smart homes, personal health monitoring, and real-time traffic management, directly enhancing residents’ quality of life and the city’s instant response capabilities. Therefore, the cloud-edge collaborative intelligent computing network represents an inevitable trend for addressing the complex challenges of modern cities and achieving intelligent transformation. It not only significantly improves urban operational efficiency and refined governance but also drives the growth of the digital economy, promotes industrial intelligent upgrading, optimizes public services, and comprehensively elevates residents’ quality of life, exerting a far-reaching impact on urban development.
FAN Wen-zhong
,
XU Li-lu-yi
. Cloud - edge collaborative artificial intelligent computing power network development and urban innovation[J]. Urban Problems, 2025
, 360(7)
: 15
-24
.
DOI: 10.13239/j.bjsshkxy.cswt.250702
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