LG Electronics accelerates its push into the AI data center cooling market by joining NVIDIA's official partner program. This move strengthens its competitiveness in bidding for large-scale megawatt (MW)-level projects led by hyperscalers.
On the 27th, LG Electronics announced it has been officially registered as a 'Preferred' partner in the 'Power and Cooling' category of the NVIDIA Partner Network (NPN). NPN is a global program connecting customers with verified partners and solutions required for building AI data centers and AI factories.
The partnership expands sales opportunities. Customers building NVIDIA-based AI data centers are now more likely to consider LG's chillers and Cooling Distribution Units (CDUs) from the planning and design stages. Partner companies receive technical collaboration, sales, and marketing support within the NVIDIA ecosystem.
According to LG Electronics, the company is the first domestic firm to meet NVIDIA's certification requirements for 600kW and 1MW CDUs. Its 2.5MW CDU has been recognized as a 'DSX Ready CDU' product alongside AI factory certification. Combined with its partner status, this is expected to enhance credibility in large-scale project bids.
LG entered the data center cooling market in 2011, building competitiveness with large air- and water-cooled chillers. Recently, it developed liquid cooling solutions that directly cool high-heat AI chipsets. The company now offers a full lineup from chillers and CDUs to cold plates—a 'Chip to Chiller' solution.
LG has identified North America, where over 60% of new data center demand is concentrated, as a key market. The goal is to expand partnerships with hyperscalers (large cloud providers) and colocation customers (data center leasing businesses). The critical task is converting partner status into actual project wins.
Lee Jae-sung, President and Head of LG Electronics' ES Business Division, stated, “Being listed in the NVIDIA Partner Network is a significant achievement that proves LG's thermal management technology is an optimal solution for next-generation AI data center infrastructure on a global scale.”
