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LG Electronics introduced a suite of modular cooling products designed specifically for hyperscale AI data centers. The flagship Hydronic Modular cooling system packs pumps, valves, emergency buffer tanks and piping into a prefabricated container that connects directly to an onsite chiller, cutting on‑site welding and assembly. The company also launched an air‑cooled, oil‑free inverter turbo chiller featuring a magnetic‑bearing compressor and a refrigerant‑free cooling mode that leverages outside air to reduce compressor run‑time. Additional offerings include a fan‑wall unit for dense server racks, 1‑MW and 2.6‑MW coolant distribution units (CDUs) that circulate coolant through cold plates on GPUs and CPUs, and an immersion‑cooling concept that submerges equipment in non‑conductive fluid. LG highlighted that its 600‑kW, 1‑MW and 2.6‑MW CDUs have received Nvidia qualification, and it presented a “One LG” package that combines its HVAC technology, battery systems from LG Energy Solution, and data‑center design services from LG CNS.
At Data Center World Asia 2026 in Singapore, LG Electronics showcased a new Hydronic Modular cooling system that integrates pumps, valves, buffer tanks and piping within a single container. The design allows the unit to hook directly into an existing chiller, eliminating much of the on‑site welding and pipework typically required for liquid‑cooling loops.
The company also unveiled an air‑cooled, oil‑free inverter turbo chiller equipped with a magnetic‑bearing compressor. A refrigerant‑free cooling mode uses ambient air to assist heat removal, reducing compressor runtime and overall energy consumption.
Additional hardware includes a fan‑wall unit for high‑density rack cooling, 1‑MW and 2.6‑MW coolant distribution units that feed coolant directly to cold plates on GPUs and CPUs, and an immersion‑cooling concept that submerges equipment in a non‑conductive fluid. LG noted that its 600‑kW, 1‑MW and 2.6‑MW CDUs have earned Nvidia qualification, confirming compatibility with leading AI accelerators.
LG presented a “One LG” offering that bundles its HVAC technology, battery solutions from LG Energy Solution, and data‑center design, construction and operation services from LG CNS, aiming to provide a comprehensive AI‑infrastructure package.
왜 중요한가요?
Effective cooling is a critical bottleneck for AI workloads, which generate far more heat than traditional . LG’s modular approach promises faster deployment of AI data centers by reducing construction time and allowing operators to add capacity incrementally, aligning capital expenditure with actual demand. The inclusion of Nvidia‑qualified CDUs signals compatibility with leading AI hardware, potentially easing integration for hyperscale providers. Energy‑saving features such as magnetic‑bearing compressors and refrigerant‑free cooling could lower operating costs and improve sustainability, addressing growing concerns about the power intensity of AI training and . By bundling cooling with HVAC, battery, and design services, LG positions itself as a one‑stop partner for AI infrastructure, which may shift market dynamics away from fragmented vendor ecosystems.
Cooling efficiency directly influences the total cost of ownership for AI data centers, where power usage effectiveness (PUE) can dominate operating expenses. LG’s modular, prefabricated approach reduces construction time and labor, enabling faster scaling of AI capacity.
The magnetic‑bearing compressor and refrigerant‑free cooling mode lower electricity consumption, addressing both cost pressures and environmental concerns tied to the rapid expansion of AI workloads.
Nvidia qualification of the CDUs ensures that LG’s liquid‑cooling solutions can be seamlessly integrated with the most widely used AI accelerators, simplifying deployment for cloud providers and enterprise AI teams.
By combining cooling with HVAC, battery storage, and design services, LG offers a unified solution that could reduce the complexity of coordinating multiple vendors, potentially accelerating AI data‑center rollouts.
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Observers should monitor early adoption of LG’s modular units by major AI cloud providers and whether the “One LG” bundle gains traction in new AI data‑center builds. The performance and reliability of the Nvidia‑qualified CDUs in real‑world AI workloads will be a key metric, as will the commercial rollout of the immersion‑cooling prototype. Competitive responses from established cooling specialists and any announced partnerships with hyperscale operators could indicate how quickly LG’s solutions will impact the broader AI infrastructure market.
Adoption rates among hyperscale cloud providers such as Amazon, Microsoft, Google, and Alibaba, which could validate the commercial viability of LG’s modular cooling line.
Performance data from real‑world AI training runs using the Nvidia‑qualified CDUs, which will reveal whether the cooling efficiency translates into measurable gains.
The rollout timeline and market reception of the immersion‑cooling prototype, a technology that promises even higher thermal efficiency but remains less proven at scale.
Competitive responses from established cooling firms like Vertiv, Schneider Electric, and CoolIT Systems, which may launch counter‑offers or form strategic alliances to retain market share.