NVIDIA Collaborates With Korean Industry Leaders to Advance Physical AI

NVIDIA is collaborating with major industrial leaders in Korea, including Samsung Electronics, Kakao Mobility, and LG Electronics, to expand the country's physical AI ecosystem across semiconductor manufacturing, autonomous driving, and robotics [1].

Samsung Advances Semiconductor Engineering

Samsung Electronics is expanding its collaboration with NVIDIA to integrate accelerated computing and artificial intelligence physics into materials research, process development, and device engineering [1]. Utilizing technology computer-aided design, Samsung is deploying NVIDIA cuISS and cuDSS to speed up sparse linear systems computations alongside GPU acceleration for optical and process simulations [1].

In materials research, Samsung's sMOL platform achieved up to a 5x end-to-end speedup on selected quantum chemical calculations using NVIDIA cuEST [1]. The company is additionally exploring NVIDIA cuEquivariance to accelerate tensor operations for atomistic AI model training and inference [1]. Furthermore, Samsung is building chip-scale mechanical and thermal analysis workflows leveraging NVIDIA PhysicsNeMo [1]. In one AI homogenization instance, combining GPU acceleration, coarser grids, and AI-predicted material properties yielded an approximate 1,600x speedup, reducing simulation time from roughly 18 hours on a 32-core CPU to 41 seconds on a GPU-accelerated coarse-grid solve [1]. Samsung also looks to explore the NVIDIA Agent Toolkit to connect simulation tools and models for future engineering agents [1].

Kakao Mobility Advances Autonomous Driving

Kakao Mobility plans to utilize NVIDIA vehicle computing and safety technologies to develop a level 4 autonomous driving system [1]. This initiative integrates Kakao Mobility's proprietary driving software and operational experience in Seoul's Gangnam district with NVIDIA's vehicle computing platform [1].

Plans involve utilizing NVIDIA Hyperion, a compute and sensor reference platform powered by NVIDIA DRIVE AGX Thor, alongside NVIDIA Halos to support safety during development and validation [1]. Initial development centers around Kia purpose-built vehicles to integrate the software and hardware for future level 4 mobility services in Korea [1].

LG Electronics Enhances Robot Learning

LG Electronics and NVIDIA successfully demonstrated robotic manufacturing tasks and manipulation using LG's CLOiD robot in a real-world manufacturing setting powered by NVIDIA Isaac GR00T [1]. The initiative established a physical AI data flywheel that connects real-world data collection, NVIDIA Cosmos-based data augmentation, GR00T model training, simulation-based evaluation, and NVIDIA Jetson AGX Thor onboard computing [1]. These efforts form a repeatable workflow designed for ongoing development and validation of robotic capabilities [1].

Korea possesses established strengths in manufacturing and engineering, providing a foundation for companies to transition physical AI developments from research into actual production environments [1].

The integration of accelerated computing, AI physics, and autonomous platforms across major Korean technology firms demonstrates how artificial intelligence is shifting from digital domains into tangible manufacturing, robotics, and mobility sectors.

These cross-industry collaborations could accelerate the commercial deployment of advanced semiconductor design processes, autonomous urban transport services, and automated factory robotics.

The long-term operational reliability and scalability of these physical AI systems in full-scale commercial production remain to be validated over time.