NVIDIA and LG Group Partner on AI Factory for Robotics and Autonomous Vehicles

NVIDIA and South Korea's LG Group are constructing a comprehensive AI factory infrastructure designed to power the conglomerate's expansion into robotics, autonomous vehicles, data center technologies, and GPU cloud services.

The partnership combines NVIDIA's end-to-end AI platform with LG Group's manufacturing expertise and global presence in consumer electronics, mobility components, and smart infrastructure. The AI factory will provide accelerated computing resources for training, simulation, validation, and deployment of AI applications across LG's diverse business units.

Why it matters

This collaboration represents a blueprint for how traditional manufacturing conglomerates can transform into AI-driven technology companies. By integrating AI development, physical simulation, and edge deployment into a unified workflow, LG Group aims to establish new standards for smart manufacturing while positioning itself in emerging markets for home robotics and autonomous mobility—sectors where first-mover advantage and infrastructure investment will determine market leaders.

Physical AI and robotics development

LG Electronics is developing home robots like CLoiD for household tasks, integrating NVIDIA's Isaac Sim and Isaac Lab frameworks to simulate and train these systems in virtual environments before physical deployment. The company plans to adopt the NVIDIA Isaac GR00T vision-action-language model to give its robots humanlike reasoning capabilities for complex task execution.

To address training data challenges, LG Electronics is building a physical AI data factory that will generate high-quality training data for robotics projects using NVIDIA Cosmos world foundation models for synthetic data generation. This facility is intended to serve both Korean and international companies working on physical AI applications.

LG CNS is incorporating NVIDIA's robotics technologies—including Isaac frameworks, Cosmos models, and GR00T foundation models—into its PhysicalWorks industrial robot platform for manufacturing and logistics automation.

AI factory infrastructure aligned with NVIDIA DSX

LG Electronics is collaborating with NVIDIA on prefabricated modular design technologies aligned with the NVIDIA DSX AI factory platform. This work includes developing cooling distribution units, cold plates, and thermal management solutions for liquid-cooled AI infrastructure.

LG Uplus, the group's telecommunications arm, plans to build scalable AI factories based on NVIDIA DSX in partnership with LG Electronics and LG Energy Solution. The initiative combines NVIDIA's accelerated computing architecture with LG's capabilities in infrastructure, energy systems, and telecommunications.

LG Energy Solution is working with NVIDIA on 800-volt direct-current data center energy solutions aligned with NVIDIA's battery energy storage system guidelines to support next-generation GPU requirements.

Autonomous driving and mobility systems

LG Electronics is aligning its advanced driver-assistance systems and in-vehicle AI with the NVIDIA DRIVE platform. The collaboration focuses on sensor, compute, and software architectures compatible with NVIDIA DRIVE Hyperion, supporting LG's roadmap for autonomous driving and software-defined vehicles.

LG Electronics plans to use NVIDIA DRIVE AGX accelerated compute for future mobility applications, including AI-powered cockpits and edge AI processing. LG Innotek is developing next-generation sensing, connectivity, and lighting components engineered specifically for NVIDIA architecture.

Sovereign AI development

NVIDIA and LG AI Research are collaborating to advance EXAONE, one of Korea's leading sovereign AI models. LG AI Research used NVIDIA Blackwell GPUs, the NeMo framework, and Nemotron datasets for model development, along with TensorRT-LLM software for optimized deployment.

LG Group is exploring broader adoption of EXAONE across its businesses through platforms like ChatEXAONE, the group's enterprise chatbot service.

The details were first reported by NVIDIA in a company blog post announcing the partnership.