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Jun 9, 202614 views2 min read

Nvidia Inks Major AI Deals in South Korea with SK Hynix, Hyundai, and LG

Nvidia CEO Jensen Huang visited South Korea in June 2026 and secured partnerships with SK Hynix, SK Telecom, Hyundai, LG, and Naver to build AI infrastructure and develop advanced memory technology. South Korea also announced a $200 billion national AI investment strategy.

Nvidia Inks Major AI Deals in South Korea with SK Hynix, Hyundai, and LG

Nvidia CEO Jensen Huang visited South Korea in June 2026 and secured a series of major partnerships with the country's largest technology and industrial companies, including SK Hynix, SK Telecom, Hyundai, LG, and Naver, to build AI infrastructure and develop next-generation memory technology.

The deals, announced during Huang's visit, span robotics, autonomous systems, and advanced memory chips. SK Hynix, the world's second-largest memory chip maker, agreed to deepen its collaboration with Nvidia on high-bandwidth memory, a critical component for AI accelerators. SK Telecom will work with Nvidia to build AI infrastructure for South Korea's telecommunications network.

Hyundai and LG are partnering with Nvidia on physical AI applications, including factory automation and robotics. Naver, South Korea's dominant internet company, will use Nvidia hardware to power its AI services.

The South Korean government announced a $200 billion national AI investment strategy alongside the corporate deals, including substantial GPU acquisitions to compete with the United States and China in the global AI race.

Nvidia's push into South Korea reflects a broader strategy of building regional AI ecosystems around its hardware. The company has made similar moves in Japan, the Middle East, and Europe, positioning itself as the infrastructure backbone for national AI programs.

The partnerships come as major technology companies accelerate the development of custom AI chips to reduce their dependence on Nvidia. Amazon, Alphabet, and Microsoft have all invested heavily in proprietary silicon, but Nvidia's hardware remains the dominant choice for training large AI models.