INSIDE 硬塞 AIJun 8, 2026, 2:49 AM中央社

Jensen Huang Signs Korea Deals with SK Hynix, NAVER and Doosan

Original: 黃仁勳訪韓簽下三張協議,SK 海力士、NAVER、斗山集團同步加入 Nvidia AI 資料中心布局

Nvidia is deepening its Korea AI infrastructure push through partnerships with SK Hynix, NAVER and Doosan.

Nvidia announced partnerships with SK Hynix, NAVER and Doosan Group to bring its technology into AI data center projects in Korea. The collaboration also covers next-generation memory development, tying Nvidia more closely to Korea’s semiconductor and digital infrastructure ecosystem. The article does not specify investment size, deployment timeline or data center scale.

Nvidia announced collaborations with South Korea's SK hynix, NAVER, and the Doosan Group to introduce Nvidia technology, jointly build AI data centers, and advance next-generation memory development. The focus of this collaboration is not just a single company purchasing GPUs or servers, but a further deepening of Nvidia's positioning in South Korea's AI industry: on one hand, combining SK hynix's capabilities in the memory domain to strengthen the critical supply chain needed for AI computing; on the other hand, through a large internet platform company like NAVER, more tightly linking AI data center construction with actual service demand; meanwhile, the addition of the Doosan Group also indicates that AI infrastructure may extend into industrial, energy, or large-enterprise scenarios. From an industry perspective, AI data centers have become an important node in the technology competition among nations, requiring coordination across hardware, memory, networking services, energy, and enterprise applications. By signing agreements with heavyweight South Korean enterprises, Nvidia stands to expand its influence in the Asian AI infrastructure market and gives South Korea a more clearly defined position in the semiconductor and data center ecosystem. For Taiwanese developers, researchers, and investment observers, what is worth noting about this news is that AI competition is shifting from models and applications toward underlying compute, memory, and data center deployment capabilities. The article does not yet disclose specific investment amounts, timelines, or data center scale, so it remains to be seen whether the various parties will publish more complete technical and commercial details in the future.

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