NVIDIA Details Korea’s Push Into Physical AI for Chips, Cars and Robots
NVIDIA says Korea’s manufacturing and engineering strengths are helping move physical AI from development into real-world production. The company highlighted work with Samsung Electronics, Kakao Mobility and LG Electronics across semiconductor engineering, autonomous driving and robotics.
- Samsung is expanding NVIDIA collaboration across semiconductor engineering and materials research.
- Samsung reported up to 5x faster selected quantum chemical calculations with NVIDIA cuEST.
- Kakao Mobility plans a level 4 autonomous driving system using NVIDIA technologies.
- LG Electronics and NVIDIA demonstrated Isaac GR00T-powered robotic tasks with the CLOiD robot.
- The collaborations target manufacturing, autonomous mobility and robotics in Korea.
Samsung applies AI and accelerated computing to chip design
Samsung Electronics is expanding its collaboration with NVIDIA across materials research, process development and device engineering. In technology computer-aided design, Samsung is using NVIDIA cuISS and NVIDIA cuDSS to accelerate computations involving sparse linear systems, alongside GPU acceleration for process and optical simulations.
Samsung’s sMOL platform has run selected quantum chemical calculations up to 5x faster end to end with NVIDIA cuEST, according to NVIDIA. Samsung is also exploring NVIDIA cuEquivariance for tensor operations used to train and run atomistic AI models, and is developing chip-scale thermal and mechanical analysis workflows with NVIDIA PhysicsNeMo.
In one AI homogenization case, AI-predicted effective material properties, coarser grids and GPU acceleration produced a roughly 1,600x speedup. The simulation time fell from about 18 hours for a fine-grid solve on a 32-core CPU to 41 seconds for a GPU-accelerated coarse-grid solve. NVIDIA said its Agent Toolkit could eventually connect these simulation tools and AI models so engineering agents can run analyses and compare design options.
Kakao Mobility plans a level 4 driving system
Kakao Mobility plans to use NVIDIA’s autonomous vehicle computing and safety technologies in development of a level 4 autonomous driving system. The project combines Kakao Mobility’s proprietary driving software and experience operating in Seoul’s Gangnam district with NVIDIA’s vehicle computing platform.
The company plans to use NVIDIA Hyperion, a reference platform for vehicle sensors and compute powered by NVIDIA DRIVE AGX Thor. It also plans to use NVIDIA Halos to support safety during development and validation. Initial development is planned around Kia purpose-built vehicles, integrating Kakao Mobility’s autonomous driving software with NVIDIA technologies. The effort aims to support future level 4 mobility services in Korea.
LG and NVIDIA build a robot training workflow
NVIDIA and LG Electronics demonstrated robotic manipulation and manufacturing tasks powered by NVIDIA Isaac GR00T with LG’s CLOiD robot in an actual manufacturing environment.
The collaboration connects real-world data collection with NVIDIA Cosmos-based data augmentation, GR00T model training, NVIDIA Jetson AGX Thor onboard computing and simulation-based evaluation. NVIDIA describes this as a physical AI data flywheel and says the work establishes reusable workflows for continued development and validation of CLOiD’s capabilities.
For Korean industry, the projects show how the same physical AI approach can span chip engineering, vehicle systems and factory robotics. The source presents these collaborations as efforts to create repeatable development and validation processes, while Samsung’s results illustrate the potential effect of combining AI, simulation and accelerated computing in production engineering.
NVIDIA: Korea Advances Physical AI Across Industries With NVIDIA
