KT Cloud will work with LS Electric on modular data center technology and on securing a stable supply of key power equipment.
KT Cloud said on the 3rd that it signed a memorandum of understanding with LS Electric on the 2nd at LS Yongsan Tower in Seoul to build a strategic partnership for artificial intelligence data centers. The agreement comes as power demand and construction scale for AI data centers climb rapidly, and is aimed at strengthening capabilities to build modular data centers optimized for next-generation AI infrastructure while establishing a reliable supply system for major power equipment.
The two companies will deepen technical cooperation on modular data centers. Under this approach, key facilities such as power and cooling systems are prefabricated as modules, allowing data centers to be built and expanded quickly on site. LS Electric will take part from the design stage of KT Cloud's modular data centers, jointly researching core power solutions and reviewing designs and technology applications tailored to the power demand and site conditions of each facility. The companies will also set up a framework linked to KT Cloud's design-build-operate business to reliably supply the power equipment needed on schedule.
KT Cloud plans to expand partnerships with specialized firms in core areas such as power and cooling for AI data centers, including this agreement. The company aims to standardize modular data center designs and improve construction efficiency. It will also expand infrastructure to 1 gigawatt in capacity, covering both the Seoul metropolitan area and other regions, in line with customer demand.
"The core of competitiveness in AI data centers lies in reliably securing infrastructure that can meet surging power demand and in the ability to build it on time," KT Cloud CEO Kim Bong-kyun said. "Through cooperation with LS Electric, we will raise our modular data center construction capabilities and power infrastructure competitiveness, and further strengthen our foundation for building and operating large-scale AI data centers."
