On Nov 9, 2026, NVIDIA released a batch of updates on its work with Korea's Ministry of Science and ICT (MSIT) and local companies. The two sides will expand collaboration across Korea's sovereign AI ecosystem, spanning AI semiconductors, data center infrastructure, talent, startups, models, agents and security. The collaboration also covers physical AI, where Korean industry is applying accelerated computing, AI and simulation to semiconductor manufacturing, robotics and autonomous vehicles.

Chips and infrastructure: exploring NPU/XPU participation in NVLink Fusion

According to NVIDIA's blog, the collaboration with MSIT will lay the groundwork for Korean NPU and XPU companies to explore participation in the NVIDIA NVLink Fusion ecosystem. That means Korean AI chipmakers could plug into NVIDIA's interconnect ecosystem, though NVIDIA describes the move as "exploring participation" and has not disclosed a list of companies or a timeline.

The collaboration also covers data center infrastructure, talent development and startup support. NVIDIA said the work is meant to support multiple layers of Korea's sovereign AI ecosystem.

Model deployment: four Korean open models get Dynamo-optimized recipes

NVIDIA also released Dynamo-optimized deployment recipes for Korea's leading open models, covering four: A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage and Motif-3 from Motif Technologies.

NVIDIA explained in its blog that when models grow beyond the capacity of a single GPU, they must be split across multiple GPUs, which requires careful coordination of request routing and other steps. The Dynamo-optimized recipes target exactly these multi-GPU deployment scenarios.

Agents and security: Hyundai explores NemoClaw and OpenShell

On agent security, Hyundai Motor Group is exploring NVIDIA NemoClaw blueprints and the NVIDIA OpenShell runtime. AIM Intelligence is integrating its Starfort platform with NVIDIA OpenShell to support secure AI agents for employee productivity and enterprise workflows.

NVIDIA's blog noted that as AI agents take on more work, they need capable open models and security that advances alongside them.

Physical AI: from development to real-world production

NVIDIA said it is tapping into Korea's strengths in manufacturing and engineering to help advance the country's physical AI ecosystem. Korean industry leaders are applying accelerated computing, AI and simulation across areas from semiconductor manufacturing to robotics and autonomous vehicles, bringing physical AI from development into real-world production. Samsung's progress in semiconductor engineering is cited as one case in NVIDIA's blog.

What to watch next: concrete progress on Korean NPU/XPU makers joining the NVLink Fusion ecosystem, how the Dynamo deployment recipes perform in practice on Korean open models, and whether Hyundai Motor Group's exploration of NemoClaw and OpenShell turns into formal deployment.