NVIDIA promotes Physical AI in South Korean semiconductors, robotics and autonomous driving

On Nov. 9, 2026, NVIDIA outlined efforts to expand Physical AI in South Korea across areas including semiconductor manufacturing, robotics and autonomous vehicles. The company said South Korean industries are using accelerated computing, AI and simulation, and that these technologies are supporting the transition from development to actual production. The article also highlighted Samsung’s semiconductor engineering.

NVIDIA identified semiconductor manufacturing, robotics and autonomous vehicles as target areas, saying it aims to use accelerated computing, AI and simulation to support the transition from development to actual production. The company did not specify which technologies are used in which processes, and project-specific operational information would be needed to assess the scope and results of industrial applications.

The announcement specifically identified Physical AI applications across semiconductor manufacturing, robotics and autonomous vehicles. However, it did not detail individual projects, capital investment, computing capacity or operational timelines. It is therefore better understood as NVIDIA describing the expanding range of applications in South Korean industries, rather than announcing the start of mass production at a specific factory or of a specific robot. Samsung’s semiconductor engineering was also mentioned, but the products, processes and implementation status were not specified. The announcement describes accelerated computing, AI and simulation being applied across multiple industries. Semiconductor manufacturing, robotics and autonomous vehicles each involve different real-world environments, so simply listing the same technologies does not clarify what is being computed or simulated at each stage, or how that work connects to on-site control or production. NVIDIA said it is supporting the transition from development to actual production, but the blog’s account should be distinguished from verifiable production results and performance metrics. Regarding South Korea’s computing resources, a report published the same day, South Korea sees no disruption to contracted NVIDIA GPU supplies, vice science minister says, covers contracted GPU supplies and operational status. The blog post, however, discusses industrial applications and provides no information connecting supply forecasts to individual industrial projects. The two should be read as separate issues: the supply of computing resources and efforts by industries to use them. Points to watch include how NVIDIA technology is used in Samsung’s semiconductor processes, the scope of applications in robotics and autonomous vehicles, how simulation and real-world data are connected, and what operational, quality or performance metrics demonstrate a transition to production. The information available so far does not establish these specific conditions or results.

NVIDIA’s blog said the company is supporting the development of a Physical AI ecosystem, drawing on the strengths of South Korea’s manufacturing and engineering sectors. It cited semiconductor manufacturing, robotics and autonomous vehicles as application areas and included a section on Samsung’s semiconductor engineering.