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EN WIRE · 2026-09-22 12:48

LG Electronics Approved for NVIDIA 'DSX Ready' Program in Push Into AI Data Center Cooling

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LG Electronics has been approved under NVIDIA's 'DSX Ready' program, a designation for infrastructure built to work with the U.S. chipmaker's AI data center platforms, and the Korean company plans to leverage the recognition to expand its cooling solutions business in the AI data center market.

원문 주장 (KR)
LG전자, 엔비디아 'DSX 레디' 승인…AI 데이터센터 냉각 솔루션 공략

Approval Under NVIDIA's Infrastructure Program

LG Electronics has received the 'DSX Ready' approval from NVIDIA, aligning the company's cooling offerings with the technical requirements of NVIDIA's AI data center environment. The designation is aimed at suppliers of data center infrastructure such as thermal management systems, signaling that LG's cooling solutions are positioned for deployment in AI facilities built around NVIDIA's platform.

The approval marks an entry point for LG Electronics into an area dominated by specialized data center infrastructure players. LG has built its presence on a broad air solutions business spanning HVAC systems and industrial chillers, and the DSX Ready status extends that portfolio toward liquid-oriented cooling configurations used in high-density AI server environments.

Cooling Emerges as Battleground of the AI Boom

Cooling has become a central constraint in AI data center design. Racks packed with NVIDIA GPUs draw far more power than conventional server environments, pushing operators toward liquid cooling and closely integrated thermal architectures rather than traditional air-based systems. Suppliers that clear platform compatibility programs such as DSX Ready gain a clearer path into projects built on NVIDIA's reference designs.

For LG Electronics, the move positions the company to sell cooling as a system-level offering to hyperscalers and data center builders rather than as standalone components. The AI data center cooling market has attracted a widening roster of entrants as semiconductor and cloud companies race to stand up capacity for large-scale AI training and inference, making certified interoperability with leading platforms a key competitive filter.

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Sources — primary documents (11)
  1. https://blogs.nvidia.com/blog/dsx-ready-ai-factories-power-cooling/
  2. https://www.nvidia.com/en-us/data-center/products/dsx/dsx-ready/
  3. https://marketplace.nvidia.com/docs/CDU_Self_Qualification_Guideline.pdf
  4. https://www.lge.co.kr/story/newsroom/236188
  5. https://www.lge.co.kr/story/newsroom/236131
  6. https://www.newsis.com/view/NISX20260922_0003799455
  7. https://biz.chosun.com/en/en-it/2026/09/22/BD4432EE7JEVDLM3CN3TOHDMNU/
  8. https://marketplace.nvidia.com/en-us/enterprise/dsx-infrastructure/?category=cdu&manufacturer=LGE
  9. https://static.lge.co.kr/newsroom/uploads/2026/09/2609220032942.jpg
  10. https://static-store.lge.co.kr/editor/941/2609220032941.jpg
  11. https://blogs.nvidia.com/wp-content/uploads/2026/09/end-to-end-press-dsx-ready-kv-1920x1080-1.png

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