Artificial intelligence

NVIDIA Strengthens Physical AI Ecosystem in South Korea Through Industrial Partnerships

NVIDIA is expanding its collaboration with major Korean companies such as Samsung, LG, and Kakao Mobility to integrate Physical AI technologies into semiconductor manufacturing, robotics, and autonomous driving.

2026-11-09
2 min read
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certi.news Editorial Team
NVIDIA Strengthens Physical AI Ecosystem in South Korea Through Industrial Partnerships

AI Integration in Korean Industries

South Korea is taking rapid steps toward integrating Physical AI into its core industrial sectors by strengthening collaboration with NVIDIA. This trend aims to transition AI technologies from the laboratory development stage to actual production lines, leveraging the country's industrial and engineering prowess.

Samsung and Semiconductor Development

Samsung Electronics is expanding its collaboration with NVIDIA to enhance semiconductor innovations through accelerated computing and Physical AI. This cooperation includes materials research, process development, and hardware engineering. A notable technical result is the use of the PhysicsNeMo platform to develop thermal and mechanical analysis workflows at the chip level, where simulations achieved a speedup of up to 1,600 times, reducing solution time from 18 hours to just 41 seconds.

Robotics and Autonomous Driving

In the robotics sector, LG Electronics and NVIDIA have successfully tested CLOiD robots in real manufacturing environments, relying on the Isaac GR00T platform to enhance manipulation and manufacturing capabilities. Furthermore, Kakao Mobility is working on developing Level 4 autonomous driving systems based on the NVIDIA DRIVE AGX Thor platform, integrating its own software to enhance safety standards in complex urban environments such as the Gangnam district in Seoul.

Why This News Matters

This collaboration represents a model for how Physical AI can be applied in real-world industrial environments. For engineers and developers, the importance of these partnerships lies in providing reusable tools (such as NVIDIA Agent Toolkit and Cosmos), which reduce the time required for training and simulation. This shift is not limited to improving efficiency; it sets new standards for how real-world data is integrated with digital simulation to accelerate the pace of innovation in manufacturing and logistics.

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NVIDIA AI Blog
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