LG Electronics (LG), together with LG CNS and LG Energy Solution, showcased its advanced data center technologies at Data Center World Asia (DCWA) 2025 in Singapore. Under the unified strategy “One LG Solution,” the three LG Group affiliates are delivering a comprehensive suite of AI data center solutions spanning thermal management, data center design, and energy efficiency.
One LG Solution: Integrated Power for the AI Data Center Era
As global demand for AI infrastructure accelerates, LG’s One LG Solution initiative positions the company as a strategic partner for data center operators seeking enhanced scalability, sustainability, and operational efficiency.
The collaboration combines:
LG Electronics’ cooling and thermal management systems
LG CNS’s expertise in AI data center design, construction, and operations
LG Energy Solution’s advanced battery and UPS technologies
Together, these capabilities form a cohesive offering designed to meet the performance and sustainability needs of next-generation data centers.
Advanced Thermal Management for AI Workloads
At DCWA 2025, LG highlighted its large-capacity chillers, direct-to-chip (DTC) cooling, and computer room air handlers (CRAHs) — all engineered to maintain stable performance for high-density AI workloads.
Key innovations include:
Coolant Distribution Unit (CDU): Features a compact, modular design and high-efficiency inverter pump for scalable, flexible deployment.
Cold Plate Liquid Cooling System: Utilizes DTC technology to handle the thermal loads of next-gen CPUs and GPUs.
Water-Cooled Chiller: Equipped with a magnetic bearing controller and oil-free centrifugal compressors for improved reliability and reduced energy use.
Visitors at DCWA experienced AR-based demonstrations and Digital Twin simulations of LG’s data center test-bed in Pyeongtaek, illustrating the company’s commitment to predictive maintenance and optimized operations.
LG CNS Drives AI Data Center Innovation
As Korea’s leading AI transformation (AX) company, LG CNS is advancing next-generation AI data center construction. Its joint venture, LG SinarMas Technology Solutions, recently secured a major AI data center project in Indonesia, integrating LG inverter turbo chillers and immersive cooling technologies.
The company is also developing the AI Box (tentative name) — a compact, container-sized solution integrating all operational components of a data center for modular deployment and rapid scalability.
LG Energy Solution Powers Reliability and Efficiency
Leveraging its patented battery systems, LG Energy Solution provides uninterruptible power supply (UPS) units that ensure stable, continuous energy for AI-driven workloads. These systems strengthen data center resilience and reduce downtime amid growing power demands.
Innovative DC Grid Solution Enhances Power Efficiency
LG’s direct current (DC) grid minimizes power loss in data center operations by reducing energy conversion inefficiencies. Traditional alternating current (AC) systems lose up to 25 percent of power through heat, while LG’s DC grid limits loss to just 10 percent, significantly cutting energy costs and carbon footprint.
“One LG Solution is ready to reshape the global data center landscape with future-ready solutions from LG Electronics, LG CNS, and LG Energy Solution,” said James Lee, President of LG ES Company. “With our advanced thermal management, intelligent operations, and resilient power systems, we empower data centers to scale efficiently in the AI era.”
Data center technology vendors
Vendors like Dell Technologies, Hewlett Packard Enterprise (HPE), and Lenovo are among the top players, offering AI-optimized servers, networking, storage and full-stack infrastructure. Dell leads in product breadth (PowerEdge servers etc.), and leverages partnerships (e.g. with Red Hat) to enable scalable AI deployment.
HPE distinguishes itself by combining high-performance computing engines and hybrid cloud services, and has used strategic acquisitions to build out its AI-native infrastructure and networking capabilities.
Lenovo contributes especially through its ThinkSystem line and investments in efficient cooling, aiming to balance high performance with energy concerns.
Nvidia is central in supplying GPUs and accelerators that power most AI training and inference workloads. Its ecosystem (hardware + software) sets many of the de facto standards in compute performance in AI data centers.
Amazon Web Services (AWS), Microsoft, and Google are major infrastructure operators/hyperscalers, building out large global fleets of AI-ready data centers, custom chips, and managed AI services; their scale gives them advantages in cost, deployment speed, and global reach.
IBM competes in enterprise AI infrastructure and hybrid cloud; Huawei and Chinese vendors (e.g. H3C) are significant in Asia, often combining compute, storage, networking and AI accelerators. Vertiv and Schneider Electric stand out in infrastructure support—power, cooling, racks etc.—which become critical when AI workloads push racks to high power density.
There are also specialist providers like CoreWeave (focused GPU data centers), VAST Data (storage infrastructure for AI / high-performance workloads), and emerging vendors integrating software-defined storage, or offering AI-serving hardware optimized for throughput, latency, and energy efficiency.
Conclusion
With its One LG Solution, LG is redefining the future of AI data center infrastructure, bringing together innovation, efficiency, and sustainability. From cooling systems and digital twins to UPS and DC grids, LG’s unified approach positions the company as a global leader in AI-ready data center solutions.
Rajani Baburajan
