Nvidia and LG Group announce joint construction of an AI factory, covering robotics, data centers, and autonomous driving.

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NVIDIA and South Korea’s LG Group have announced a joint venture to build an AI factory, with cooperation spanning robotics, autonomous driving, data centers, and GPU cloud services. This initiative will provide the underlying computing power for AI transformation in multiple core businesses under the LG Group.

In a joint announcement on June 7, the AI factory will provide accelerated computing infrastructure for LG Group, covering subsidiaries such as LG Electronics, LG Uplus, LG CNS, LG Innotek, and LG Energy Solution, for the training, simulation, validation, and deployment of AI applications. The collaboration combines NVIDIA’s full-stack end-to-end AI factory platform with LG Group’s global reach in consumer electronics, robotics, smart mobility components, and data center technologies. The plan aims to integrate AI model development, physical AI data generation, robot simulation training, edge deployment, and factory-level digital twins into a unified workflow.

The broad scope of the cooperation will deeply link multiple LG Group industrial sectors with NVIDIA’s core AI technology platforms, including the NVIDIA DSX AI factory architecture, the NVIDIA DRIVE autonomous driving platform, and the Isaac robotics framework. This marks a systematic embedding of NVIDIA’s computing ecosystem into the group’s core technology roadmap.

Additionally, the cooperation extends to the development and commercialization of South Korea’s sovereign AI model EXAONE, with NVIDIA providing computational support for LG AI Research to promote the broad deployment of EXAONE in LG Group’s enterprise businesses.

Robotics and Physical AI: From Virtual Simulation to Autonomous Manufacturing

In the robotics field, LG Electronics is developing a household robot named CLoiD, designed to handle a variety of indoor chores. Both parties plan to integrate the NVIDIA Isaac Sim and NVIDIA Isaac Lab open robotics frameworks into LG’s development workflow, allowing simulation, training, and validation in physically accurate virtual environments.

LG Electronics also plans to introduce the NVIDIA Isaac GR00T open reasoning vision and action language model, which will provide its household robots and modular robot platforms with human-like reasoning capabilities, enabling them to perform complex tasks. The two companies also intend to co-develop reference robots, bringing LG robots into the NVIDIA Isaac GR00T ecosystem.

To address the shortage of robotic training data, LG Electronics is building a physical AI data factory, leveraging the NVIDIA Cosmos world foundation model for synthetic data generation and enlargement, supplying high-quality training data for robotics and industrial AI projects in Korea and worldwide. LG CNS, through its PhysicalWorks industrial robotics platform, integrates NVIDIA’s robotics technology stack—including the Isaac open framework, NVIDIA Cosmos open world model, and Isaac GR00T robotics foundation model—to accelerate AI adoption in logistics and manufacturing. LG Innotek also plans to offer core robotic components such as perception solutions optimized for NVIDIA GPU architectures.

At the manufacturing level, the two parties plan to combine production technology data from LG’s global factories with NVIDIA’s AI infrastructure and digital twin technologies to build an autonomous manufacturing ecosystem covering the entire process from raw material procurement to production, logistics, and customer delivery—establishing it as a new global standard for smart factories.

AI Factory Infrastructure: Multiple Subsidiaries Align to the NVIDIA DSX Platform

In data center infrastructure, multiple LG Group subsidiaries will collaborate around the NVIDIA DSX AI factory platform.

LG Electronics has previously partnered with NVIDIA for certification on cooling solutions involving coolant distribution units (CDU) and cold plates, and is moving forward on prefabricated modular design technologies to support the rapid, large-scale deployment of next-generation liquid-cooled AI factories.

LG Uplus, together with LG Electronics and LG Energy Solution, plans to build a scalable and energy-efficient AI factory based on NVIDIA DSX by integrating NVIDIA’s accelerated computing and AI factory reference architectures with LG Group’s strengths in infrastructure, energy, and telecommunications. This will support future AI cloud and GPU service businesses. LG Uplus also plans to independently build a large-scale AI data center to accommodate the latest NVIDIA GPUs; LG CNS also plans to build a high-performance AI factory based on NVIDIA DSX.

LG Energy Solution intends to cooperate with NVIDIA on 800V DC data center energy storage solutions, pursuing related work in accordance with NVIDIA’s BESS self-certification guidelines to meet higher energy system requirements for next-generation GPU-powered data centers.

Autonomous Driving and Mobility: Aligning with the NVIDIA DRIVE Platform

In the mobility sector, LG Electronics is aligning its Advanced Driver-Assistance Systems (ADAS) and in-car AI systems with the NVIDIA DRIVE platform, with a focus on adapting sensors, computing, and software architecture to the NVIDIA DRIVE Hyperion architecture to support its product roadmap for autonomous driving, ADAS, and software-defined vehicles.

LG Electronics also plans to use the NVIDIA DRIVE AGX accelerated computing platform for future mobility products, including AI cockpits and edge AI processing, further strengthening its automotive electronics portfolio and accelerating the development of AI driving solutions for global OEMs.

LG Innotek, leveraging its expertise in sensing, connectivity, and lighting solutions, will work with NVIDIA to develop next-generation automotive components specifically designed for the NVIDIA architecture, deepening its layout in the autonomous driving market.

Sovereign AI Model EXAONE: NVIDIA Computing Power Supporting Enterprise Adoption

On the AI model front, NVIDIA and LG AI Research are deepening cooperation on EXAONE. EXAONE is one of Korea’s leading sovereign AI models and is open to developers, enterprises, and researchers as part of an open model family.

LG AI Research has used the NVIDIA Blackwell GPU, NVIDIA NeMo framework, and NVIDIA Nemotron open datasets to support EXAONE model development, and has built a high-performance inference engine using NVIDIA TensorRT-LLM software to optimize the efficiency of model deployment.

LG Group is exploring the broader deployment of EXAONE and intelligent agent AI technologies in its businesses through enterprise chat platforms like ChatEXAONE. NVIDIA will continue to provide computing power for LG AI Research’s sovereign AI models, helping LG Group accelerate enterprise AI transformation, software-defined operations, and productivity enhancement.

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