KT Cloud to Build 50MW 'Cheongna AI Data Center'
IT DAILY ·
✦ AI Summary
KT Cloud announced its participation in the 50MW AI data center project in Cheongna, Incheon.
The project aims to expand the supply base for AIDC in the Seoul metropolitan area, with construction slated to begin in the fourth quarter of 2026 and completion targeted for the first quarter of 2030.
KT Cloud will serve as the DBO partner, handling design consulting, MEP, commissioning, and operations, while Hyundai Engineering will be responsible for co-construction.
KT Cloud announced on the 7th that it will participate in the 50MW AI data center project in Cheongna, Incheon. The project aims to expand the supply base for AIDC in the greater Seoul area.
The Cheongna AI data center will be built with two basement floors and 11 floors above ground, with a power capacity of 50MW. The schedule calls for construction to begin in the fourth quarter of 2026 and completion in the first quarter of 2030.
In this project, KT Cloud will serve as the DBO partner. KT Cloud will be responsible for data center design consulting, major facility construction (MEP), commissioning for safety and operational validation, and future operations, covering the overall build and operation of the AI data center.
Hyundai Engineering will serve as the co-contractor. Hyundai Engineering will handle building, civil engineering, facilities, landscaping, and communications work, as well as MEP construction.
The project site is in western Seoul metropolitan area. From there, major business districts in Seoul can be reached within an hour, and it is close to Gimpo Airport and Incheon International Airport. These location conditions were assessed as preferred factors for domestic and overseas IT companies.
KT Cloud plans to connect the new data center with major data centers in the Seoul metropolitan area, including Gasan and Mokdong. The goal is to respond to customer expansion demand and strengthen network continuity between hubs.
The data center will be built as a hybrid data hall structure that can accommodate both AI infrastructure and cloud demand. It will be operated by separately configuring an 'AI zone' based on D2C liquid cooling for high-density GPU server operations and a 'cloud zone' for general-purpose cloud services, enabling flexible response to a wide range of customer infrastructure needs.
KT Cloud will apply its data center operating know-how and its proprietary integrated management solution, 'DIMS,' to provide a stable service environment. This structure and operating model are aligned with KT Cloud's business expansion to address rising demand for AI infrastructure.
KT Cloud aims to secure more than 1GW of AIDC supply capacity by 2031. In the Seoul metropolitan area, it plans to strengthen its supply base by linking existing data centers and new hubs, while outside the capital area it is expanding nationwide infrastructure by pushing ahead with large-scale AIDC builds in places such as Gunsan.
KT Cloud has accumulated experience and technical capabilities throughout the DBO process, from design and build to operation, and is pushing ahead with advancing next-generation AIDC technologies for liquid cooling, modular, and prefab solutions. This reflects its goal of continuously strengthening its competitiveness in data center build and operation amid surging demand for AI infrastructure.
Kim Bong-gyun, CEO of KT Cloud, said the Cheongna AI data center is expected to serve as a key hub in the western Seoul metropolitan cluster and to meet demand from domestic and overseas corporate customers that need large-scale AI infrastructure.
KT Cloud plans to continue expanding the supply base for AIDC in both the Seoul metropolitan area and regional areas, and to flesh out its 1GW AIDC target based on differentiated technological capabilities. In addition, KT Cloud will participate in the AI data center (AIDC) project in Gunsan, Jeonbuk, being promoted by SGC Energy.
Source: IT DAILY · Kwon Young-seok
Original: https://www.itdaily.kr/news/articleView.html?idxno=242041
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Source: IT DAILY
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