
LG CNS showcased its next-generation AI infrastructure capabilities at Asia's largest data center exhibition.
LG CNS announced that it participated in "Data Center World Asia 2026," held in Singapore on the 29th (local time), where it unveiled its prefabricated modular data center and AI factory full-stack services.
Through this exhibition, LG CNS plans to accelerate its efforts to capture the AI factory market. An AI factory is an integrated AI infrastructure model that combines data centers, GPU infrastructure, and AI services.
The prefabricated modular data center is a method in which GPUs, servers, power and cooling equipment, and other components required for implementing an AI factory are configured into standardized modules, pre-manufactured, and then installed on-site. At this exhibition, LG CNS unveiled a scaled-down model of the system for display purposes.
Compared to the conventional method of constructing mechanical, electrical, and plumbing facilities and AI infrastructure after data center construction, PMDC can reduce on-site processes. It enables rapid deployment, and because modules can be added according to the customer's AI computing demand, the infrastructure scale can also be flexibly expanded.
LG CNS has concentrated its "One LG" AI infrastructure capabilities into PMDC. It combined LG CNS's data center design, construction, and operation capabilities with LG Electronics' modular cooling infrastructure solutions and LG Energy Solution's optimized battery solutions. The company aims to provide the infrastructure architecture necessary for implementing an AI factory through this integration.
Through PMDC, LG CNS plans to support customers in rapidly securing AI infrastructure when needed and gradually expanding the infrastructure scale in line with business growth. This is a strategy to address AI infrastructure supply shortages and surging demand.
Based on PMDC, LG CNS is also pursuing the "Modular AI Factory" business. The modular AI factory is a method of building small-scale AI data centers in container form without customers having to secure large plots of land or construct separate data center buildings. It can be expanded by adding containers according to required functions and AI computing scale.
LG CNS launched an IT load power 4MW module based on NVIDIA's next-generation GPU "Vera Rubin" and a 1.2MW module based on "GB300." The company plans to expand its lineup of modular AI factories with various specifications in the future.
At this exhibition, LG CNS also showcased Vera Rubin-based AI factory full-stack services. The AI factory full-stack service is a solution that integrates GPUaaS, which provides Vera Rubin GPU resources in cloud form; intelligence services that support real-time learning and inference for physical AI using Vera Rubin; and power and cooling technologies for stable operation.
LG CNS plans to continuously enhance GPU computing performance and power and cooling technologies to improve the efficiency of providing intelligence services and lead next-generation AI factory services.
Based on its data center design, construction, and operation capabilities accumulated over more than 40 years, LG CNS is strengthening its position in the AI data center field. It is upgrading its data center infrastructure operated domestically into AI data centers and enhancing its capabilities to build infrastructure optimized for high-performance GPUs. LG CNS intends to expand its global business, including Southeast Asia as well as North America and Europe, on the occasion of participating in this exhibition.
Vice President Kim Tae-hoon of LG CNS's AI Cloud Woo Deu-sa-eop (Director) division stated, "The AI factory is a total service combining data centers, GPU infrastructure, and AI services," adding, "Customers no longer want individual services; they will need an integrated form of AI factory that can deliver results through AI." He continued, "Based on its capabilities spanning data center design, construction, and operation, as well as AI infrastructure technology, LG CNS will lead the AI factory ecosystem and strengthen its business competitiveness."