NVIDIA Holds AI Day in Seoul, Announces Multiple Partnerships

On November 9, NVIDIA held its NVIDIA AI Day event in Seoul, South Korea, announcing multiple collaborations with the South Korean government and enterprises spanning sovereign AI ecosystems, semiconductor innovation, autonomous driving, and robotics. NVIDIA and South Korea's Ministry of Science and ICT are expanding their sovereign AI ecosystem cooperation, covering AI semiconductors, data center infrastructure, and talent development. The collaboration will lay the groundwork for South Korean NPU and XPU companies to explore participation in the NVIDIA NVLink Fusion ecosystem, and enhance GPU utilization through training certifications, hackathons, and technical workshops. At the model level, NVIDIA will partner with four South Korean foundation model builders — SK Telecom, LG AI Research, Upstage, and Motif Technologies — to optimize and scale AI inference using NVIDIA Dynamo software. NVIDIA also announced a collaboration with SK Telecom and Rebellions to advance South Korea's sovereign AI infrastructure based on NVLink Fusion with support from MSIT. Samsung Electronics is expanding its collaboration with NVIDIA to drive semiconductor innovation through accelerated computing and AI physics technologies, covering materials research, process development, and device engineering. KakaoMobility plans to advance L4 autonomous driving system development based on NVIDIA's autonomous driving computing and safety technologies, combining its proprietary driving software with operational experience in Seoul's Gangnam district. NVIDIA and LG Electronics demonstrated NVIDIA Isaac GR00T-powered robotic manipulation and manufacturing tasks using LG's CLOiD robots in a real manufacturing environment. Hyundai Motor Group is exploring the NVIDIA NemoClaw blueprint and NVIDIA OpenShell runtime, while AIM Intelligence is integrating its Starfort platform with OpenShell to support secure AI agents. LG AI Research is opening API access to K-EXAONE-2.5, which was developed using NVIDIA Nemotron datasets.