LG Uplus Targets KRW 5 Trillion in AIDC Orders

Korea IT Times reports that LG Uplus unveiled a next-generation AI data center infrastructure strategy at its construction site in Paju, Gyeonggi Province, and set a goal of securing cumulative orders worth KRW 5 trillion (about $3.2 billion) by 2030. Korea IT Times adds that the Paju facility will be supported by a confirmed 200MW power supply, making it the largest inference-focused AI data center in the Seoul metropolitan area. Seoul Economic Daily reports the Paju AIDC development comprises multiple computing buildings and an office block, and that framework construction for Computing Building 1 was roughly 20% complete at the time of the site briefing.

Korea IT Times reports the strategy is organized under an "ACE on Trust" framework combining Agility, Capacity, Efficiency, and operational "Trust." Korea IT Times and Seoul Economic Daily both report the company intends to use a prefabricated modular data center (PMDC) approach to shorten construction timelines. Seoul Economic Daily reports design targets including 200 kW per rack, support for both air and liquid cooling, and explicit compatibility with Nvidia Rubin-class inference hardware. Seoul Economic Daily also reports deployment of autonomous robots at the site to enhance operations, and that the Paju project uses hybrid cooling techniques intended to improve energy efficiency.

Companies building inference-focused AI facilities increasingly emphasize higher power density, hybrid cooling, and factory-built modular blocks to compress delivery timeframes. Industry-pattern observations: prefabricated modular construction shortens on-site integration work and helps match rapid GPU supply cycles, while hybrid air-liquid cooling and rack power densities near 200 kW reflect a shift from legacy enterprise densities toward hyperscale inference workloads.

Editorial analysis: The reported KRW 5 trillion target and 200MW capacity place the Paju AIDC among regional hyperscale projects focused on inference-scale deployments. Industry-pattern observations: demand for inference capacity, driven by higher token usage and specialized accelerators, is increasing the market value of large, high-density facilities. For practitioners, the emphasis on modular build, local supply chain synergies, and hybrid cooling are indicators of where infrastructure engineering budgets and vendor partnerships are concentrating.

Editorial analysis: Observers should track certificate or contract filing activity that substantiates the reported cumulative orders, announcements from major GPU vendors about supply commitments for Paju, and independent efficiency metrics once the first compute building enters operation. Industry-pattern observations: timelines for PMDC deployment and the ability to sustain 200 kW rack densities at scale will be important operational tests for other data center operators planning inference-first builds.