Insight: Redesigning the Data Landscape — Moving Beyond Seoul Metropolitan Bottlenecks to a Global Landing-Edge Architecture
Key point
AI infrastructure must move away from Seoul metropolitan power and network bottlenecks toward coastal landing-edge sites.
Details
The limits of data center expansion in the Seoul metropolitan area stem not simply from a power shortage but from the physical capacity limits of the Grid and bottlenecks in the transmission and distribution structure. AI computing infrastructure requires 20-40kW per rack, with next-generation systems demanding 80kW or more, and handling this through the existing metropolitan distribution network requires expanding substations and ultra-high-voltage lines, which, accounting for permitting and resident acceptance, takes 7-10 years.
As power travels farther from its generation source, Line Loss and voltage drop increase, directly impacting operating costs and stability. Coastal areas near power generation sources are upstream in the power supply chain, reducing transmission distance, improving voltage quality and PUE, and combined with seawater cooling, can favorably transform the cost structure of AI data centers.
The same applies to networks. The Hairpinning structure, in which traffic entering coastal cable landing stations (CLS) in places like Busan passes through Seoul before branching out again, creates a Backhaul Tax through unnecessary inland backhaul and equipment costs. This structure adds 8-10ms RTT latency, undermining the competitiveness of latency-sensitive workloads such as large-scale distributed training, global financial traffic, and real-time inference.
The solution is a Direct Breakout and integrated CLS-DC architecture that connects cable landing stations directly to compute nodes. Data should be processed the moment it reaches land, minimizing hop counts and points of failure by reducing routing through the Seoul metropolitan area. Cases like Marseille in France and Virginia Beach in the US, where coastal landing points have grown into digital hubs, show that this strategy has already become a global standard.
Ultimately, Korea's data center industry must move away from a structure that concentrates and consumes data in the Seoul metropolitan area, and instead be reorganized into a Global Landing-Edge that combines coastal upstream power with submarine cable landing points. A dual structure—where the Seoul metropolitan area handles domestic services while coastal hubs handle globally-linked data and AI computation—is the key solution that can resolve power bottlenecks while elevating South Korea into a digital hub for Northeast Asia.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.