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NVIDIA Expands AI Partnerships in South Korea with LG Group and SK Hynix
NVIDIA CEO Jensen Huang visited Seoul on June 7 2026 to meet with leaders of South Korea’s LG Group and SK Group. The meetings resulted in two separate, multi‑year collaborations that extend NVIDIA’s reach into robotics, autonomous driving, AI infrastructure and memory technology.
LG Group announced a partnership that will cover physical AI, AI infrastructure and mobility. LG’s subsidiaries – LG Electronics, LG Energy Solution, LG AI Research, LG Innotek and LG CNS – will work with NVIDIA to improve robot development, including humanoid and logistics robots. The alliance also targets advanced driver assistance systems, integrating LG’s in‑vehicle infotainment platform with NVIDIA’s autonomous‑driving stack. LG’s chairman, Koo Kwang‑mo, said the collaboration would help the conglomerate “transform future industries” and that the partnership’s blueprint “aligns with LG’s future direction of creating meaningful changes in customers’ daily lives and global industrial sites.”
SK Hynix, a major South Korean memory‑chip manufacturer, entered a multi‑year technology partnership with NVIDIA to co‑develop next‑generation memory for AI infrastructure. The agreement builds on years of collaboration that have supplied advanced memory to NVIDIA’s AI computing platforms. SK Hynix said the partnership would shorten development cycles for advanced memory products and keep supply aligned with NVIDIA’s AI‑infrastructure roadmap. The companies plan to develop memory for NVIDIA’s Vera Rubin AI supercomputers and to expand into emerging markets such as AI infrastructure and physical AI. SK Group chairman Chey Tae‑won stated that the partnership reflects the depth of the two firms’ collaboration and that they are “co‑developing the next generation of memory for AI factories and applying AI to how we design and manufacture semiconductors.”
Both collaborations were announced during the same visit, underscoring NVIDIA’s strategy to secure supply chains and deepen integration with key partners in the AI ecosystem. The meetings followed a broader trend of South Korean companies positioning themselves at the intersection of advanced manufacturing, AI and robotics.
Market reactions were immediate. LG Corp., the holding company of LG Group, fell 7.32% on the Seoul bourse, while the benchmark KOSPI index dipped 8.29%. SK Hynix’s shares dropped 7.68% after the announcement. The price movements reflect investor uncertainty about the financial impact of the new partnerships.
Industry analysts note that the LG partnership could accelerate the deployment of physical AI solutions in manufacturing and logistics, while the SK Hynix collaboration addresses a critical bottleneck in AI‑driven data centers: memory supply. SK Hynix’s focus on fab digital twins and autonomous manufacturing operations aligns with NVIDIA’s vision of AI factories, where AI models help design and run semiconductor production.
NVIDIA’s CEO, Jensen Huang, highlighted the complementary strengths of South Korea’s manufacturing, mechatronics and AI sectors. He said the fusion of these capabilities would make robotics and physical AI a major growth sector for the country.
The collaborations represent a significant step in NVIDIA’s global strategy to embed its GPU and software stack across a wide range of industries. By partnering with LG, NVIDIA gains access to a broad ecosystem of electronics, energy and AI research, while SK Hynix provides the memory technology that underpins high‑performance AI workloads.
As of now, the partnerships are in the early stages of implementation. Both NVIDIA and its partners have not yet disclosed specific product launch dates or financial terms. The agreements are expected to influence the design of future AI data centers, autonomous vehicles and robotics platforms, but the long‑term commercial outcomes remain to be seen.
In summary, NVIDIA’s recent meetings in Seoul cemented two strategic alliances: one with LG Group to advance physical AI, robotics and autonomous driving, and another with SK Hynix to co‑develop next‑generation memory for AI infrastructure. These moves aim to strengthen NVIDIA’s supply chain, expand its hardware ecosystem and support the growing demand for AI‑driven technologies worldwide.
LG Group announced a partnership that will cover physical AI, AI infrastructure and mobility. LG’s subsidiaries – LG Electronics, LG Energy Solution, LG AI Research, LG Innotek and LG CNS – will work with NVIDIA to improve robot development, including humanoid and logistics robots. The alliance also targets advanced driver assistance systems, integrating LG’s in‑vehicle infotainment platform with NVIDIA’s autonomous‑driving stack. LG’s chairman, Koo Kwang‑mo, said the collaboration would help the conglomerate “transform future industries” and that the partnership’s blueprint “aligns with LG’s future direction of creating meaningful changes in customers’ daily lives and global industrial sites.”
SK Hynix, a major South Korean memory‑chip manufacturer, entered a multi‑year technology partnership with NVIDIA to co‑develop next‑generation memory for AI infrastructure. The agreement builds on years of collaboration that have supplied advanced memory to NVIDIA’s AI computing platforms. SK Hynix said the partnership would shorten development cycles for advanced memory products and keep supply aligned with NVIDIA’s AI‑infrastructure roadmap. The companies plan to develop memory for NVIDIA’s Vera Rubin AI supercomputers and to expand into emerging markets such as AI infrastructure and physical AI. SK Group chairman Chey Tae‑won stated that the partnership reflects the depth of the two firms’ collaboration and that they are “co‑developing the next generation of memory for AI factories and applying AI to how we design and manufacture semiconductors.”
Both collaborations were announced during the same visit, underscoring NVIDIA’s strategy to secure supply chains and deepen integration with key partners in the AI ecosystem. The meetings followed a broader trend of South Korean companies positioning themselves at the intersection of advanced manufacturing, AI and robotics.
Market reactions were immediate. LG Corp., the holding company of LG Group, fell 7.32% on the Seoul bourse, while the benchmark KOSPI index dipped 8.29%. SK Hynix’s shares dropped 7.68% after the announcement. The price movements reflect investor uncertainty about the financial impact of the new partnerships.
Industry analysts note that the LG partnership could accelerate the deployment of physical AI solutions in manufacturing and logistics, while the SK Hynix collaboration addresses a critical bottleneck in AI‑driven data centers: memory supply. SK Hynix’s focus on fab digital twins and autonomous manufacturing operations aligns with NVIDIA’s vision of AI factories, where AI models help design and run semiconductor production.
NVIDIA’s CEO, Jensen Huang, highlighted the complementary strengths of South Korea’s manufacturing, mechatronics and AI sectors. He said the fusion of these capabilities would make robotics and physical AI a major growth sector for the country.
The collaborations represent a significant step in NVIDIA’s global strategy to embed its GPU and software stack across a wide range of industries. By partnering with LG, NVIDIA gains access to a broad ecosystem of electronics, energy and AI research, while SK Hynix provides the memory technology that underpins high‑performance AI workloads.
As of now, the partnerships are in the early stages of implementation. Both NVIDIA and its partners have not yet disclosed specific product launch dates or financial terms. The agreements are expected to influence the design of future AI data centers, autonomous vehicles and robotics platforms, but the long‑term commercial outcomes remain to be seen.
In summary, NVIDIA’s recent meetings in Seoul cemented two strategic alliances: one with LG Group to advance physical AI, robotics and autonomous driving, and another with SK Hynix to co‑develop next‑generation memory for AI infrastructure. These moves aim to strengthen NVIDIA’s supply chain, expand its hardware ecosystem and support the growing demand for AI‑driven technologies worldwide.
