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AIModelKit > Events > Korea Leverages NVIDIA to Propel Physical AI Innovations Across Various Industries
Events

Korea Leverages NVIDIA to Propel Physical AI Innovations Across Various Industries

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Last updated: November 9, 2026 8:00 am
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Korea Leverages NVIDIA to Propel Physical AI Innovations Across Various Industries
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Advancing Korea’s Physical AI Ecosystem with NVIDIA

In a rapidly evolving tech landscape, Korea has carved a niche for itself as a powerhouse in manufacturing and engineering. NVIDIA is at the forefront of this advancement, channeling its expertise to help elevate Korea’s physical AI ecosystem. With a focus on enhanced computing, AI, and simulation technologies, industry leaders are transforming sectors such as semiconductor manufacturing, robotics, and autonomous vehicles, bringing physical AI from theoretical development to tangible production.

Contents
  • Samsung’s Semiconductor Innovation Through AI
  • Kakao Mobility’s Leap Towards Autonomous Driving
  • LG Electronics’ Innovations in Robot Learning and Factory Simulation

Samsung’s Semiconductor Innovation Through AI

Samsung Electronics, a titan in the global semiconductor market, is ramping up its collaboration with NVIDIA to pioneer semiconductor innovation. By harnessing accelerated computing and AI physics, Samsung aims to revolutionize materials research, process development, and device engineering.

In its technology computer-aided design (TCAD) efforts, Samsung utilizes NVIDIA’s cuISS and cuDSS to expedite computations involving sparse linear systems. The partnership extends GPU acceleration to both process and optical simulations, amplifying efficiency and productivity. Notably, Samsung’s sMOL platform has showcased remarkable progress, achieving up to a 5x speed enhancement in selected quantum chemical calculations through the use of NVIDIA cuEST.

Further illustrating the collaboration’s impact, Samsung is leveraging NVIDIA PhysicsNeMo for chip-scale thermal and mechanical analysis workflows. One impressive case study highlighted an AI homogenization process that integrated AI-predicted effective material properties with GPU acceleration, achieving an astonishing 1,600x speedup. This transformation reduced simulation time from 18 hours on a conventional 32-core CPU to just 41 seconds on a GPU-accelerated coarse-grid solve.

Looking ahead, the potential integration of the NVIDIA Agent Toolkit could seamlessly connect these advanced simulation tools and AI models, empowering future engineering agents to run sophisticated analyses and evaluate design options effectively.

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Kakao Mobility’s Leap Towards Autonomous Driving

Kakao Mobility is set to leverage NVIDIA’s avant-garde technologies to propel the development of level 4 autonomous driving systems in the bustling streets of Seoul. With a focus on safety and innovation, Kakao Mobility will combine their proprietary driving software with NVIDIA’s expansive vehicle computing platform to enhance their autonomous vehicle capabilities.

The initiative will see Kakao Mobility deploying NVIDIA Hyperion, a comprehensive reference platform that encapsulates vehicle sensors and computing powers, alongside NVIDIA DRIVE AGX Thor. Furthermore, the incorporation of NVIDIA Halos will bolster safety measures throughout the development and validation phases of their autonomous driving technology.

In the initial stages, development will integrate Kakao Mobility’s proprietary software into Kia’s purpose-built vehicles, aiming to facilitate and ultimately support level 4 mobility services across Korea. This partnership signifies a strategic step toward realizing a future where autonomous vehicles become an integral part of urban transport.

LG Electronics’ Innovations in Robot Learning and Factory Simulation

In another transformative collaboration, NVIDIA and LG Electronics have made significant strides in robotic manipulation and manufacturing tasks. By deploying the NVIDIA Isaac GR00T platform, the companies have successfully demonstrated the CLOiD robot’s capabilities in a real manufacturing setting.

This partnership has established a robust physical AI data flywheel, connecting various components of the robotics ecosystem. It integrates real-world data collection, enhances data through NVIDIA Cosmos-based augmentation, and facilitates GR00T model training on NVIDIA Jetson AGX Thor for onboard computing. This multifaceted approach culminates in simulation-based evaluations and reusable workflows for the continuous development and validation of CLOiD’s robotic functions.

Through this collaboration, NVIDIA and LG Electronics aim to refine an efficient, repeatable process for training, assessing, and enhancing manufacturing robots. This joint venture not only bolsters LG’s manufacturing capabilities but also sets a precedent for future advancements in robotic technologies.


By integrating NVIDIA’s cutting-edge technologies with the unique strengths of Korean enterprises, Samsung, Kakao Mobility, and LG Electronics are paving the way for a future rich with innovation in AI and robotics. As these collaborations unfold, one can anticipate a new era of efficiency and capability in Korea’s physical AI ecosystem, mirroring the country’s commitment to leading the charge in technological advancements.

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