Nvidia's recent partnerships in South Korea indicate a stable expansion in AI data center infrastructure, with plans to develop advanced memory technologies and large-scale cloud capabilities. The company has teamed up with local giants SK Hynix, Naver, and Doosan, marking a significant step in enhancing the region's AI capabilities.
During a trip to Seoul in early June 2026, Nvidia's CEO Jensen Huang announced a multiyear technology collaboration with SK Hynix aimed at developing next-generation memory crucial for large AI data centers. This initiative will support the creation of a gigawatt-scale AI cloud by SK Telecom, with the first data center expected to be operational by 2027. Huang highlighted the importance of advanced memory, stating, "Advanced memory is at the core of their performance."
The collaboration with SK Hynix will integrate Nvidia's CUDA-X and PhysicsNeMo toolchains, designed to accelerate semiconductor simulation workflows. Reports suggest that SK Hynix is preparing to ship HBM4 samples to Nvidia as South Korea's memory manufacturers increase production to meet the demands of next-generation high-bandwidth memory (HBM).
Naver is also partnering with Nvidia, pursuing a gigawatt-scale AI factory roadmap that begins with a 55MW project set for 2027. This partnership reflects a growing trend of aligning GPU vendors with memory suppliers and data center operators, streamlining supply chains for specialized components and co-designing systems for better efficiency.
The implications of these collaborations are substantial. With Nvidia and its partners combining advanced memory production, hyperscale data center capabilities, and integrated software/hardware stacks, a more efficient AI infrastructure ecosystem is taking shape in the region. This could reduce procurement friction for machine learning engineers and infrastructure teams, allowing for quicker adaptations to the evolving demands of AI deployment.
Looking ahead, industry observers are closely monitoring several key developments. Formal announcements detailing specifications and timelines for HBM4 and Nvidia's Vera Rubin-class accelerators are anticipated. Public timelines for Naver's initial 55MW build and SK Telecom's gigawatt cloud, both aimed for 2027, will be critical milestones. Additionally, insights into the performance of Nvidia's DSX infrastructure platform at scale, along with innovations in energy and cooling solutions led by Doosan, will influence the future of AI data centers in the region.
As the AI sector continues to evolve, these partnerships signify a shift towards more integrated and efficient infrastructure solutions — a trend that is poised to gain momentum in the coming years.
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