NVIDIA, LG Group to Build AI Factory for Robotics, Mobility, Data Centres

LG Uplus, together with LG Electronics and LG Energy Solution, plans to build AI factories based on NVIDIA DSX architecture.

Share

NVIDIA and LG Group have partnered to build an AI factory that will support the development of robotics, autonomous driving systems, data centre technologies, and GPU cloud services.

The AI factory will provide computing infrastructure for training, simulation, validation, and deployment of AI applications across LG Group’s businesses. The companies said the initiative combines NVIDIA’s AI factory platform with LG Group’s operations in consumer electronics, robotics, mobility, smart spaces, and data centre technologies.

“Together, the companies are connecting AI model development, physical AI data generation, robot simulation and training, edge deployment and factory-scale digital twins into a unified workflow for building physical AI systems,” NVIDIA said in a statement.

As part of the collaboration, LG Electronics will use NVIDIA’s robotics tools, Isaac Sim and Isaac Lab, to simulate, train and validate household robots before deployment. The company is also exploring the use of NVIDIA Isaac GR00T, an open vision-language-action model, for home robots and modular robotics platforms.

NVIDIA and LG Electronics plan to jointly develop reference robots that will be integrated into the NVIDIA Isaac GR00T ecosystem.

To address robotics training data requirements, LG Electronics is building a physical AI data factory that will generate synthetic training data using NVIDIA Cosmos world foundation models. The company said the platform is intended to support robotics and industrial AI projects in South Korea and other markets.

The companies will also work on AI-driven manufacturing systems. LG Group plans to combine production data from its manufacturing facilities with NVIDIA’s AI infrastructure and digital twin technologies to develop an autonomous manufacturing ecosystem linking procurement, production, logistics, and delivery through real-time data and AI.

LG CNS will integrate NVIDIA’s robotics technologies, including Isaac frameworks, Cosmos models and GR00T foundation models, into its PhysicalWorks industrial robot platform. The company said the effort will accelerate AI adoption in logistics and manufacturing operations.

Beyond robotics, the partnership extends to AI infrastructure. LG Electronics and NVIDIA will collaborate on cooling distribution units, cold plates and modular data centre technologies aligned with NVIDIA’s DSX AI factory platform.

LG Uplus, together with LG Electronics and LG Energy Solution, plans to build AI factories based on NVIDIA DSX architecture. The company said the facilities will combine NVIDIA’s accelerated computing infrastructure with LG’s energy and telecommunications capabilities to support AI cloud and GPU services.

LG CNS also plans to build AI factories powered by NVIDIA GPUs, while LG Uplus is preparing a large-scale AI data centre designed to accommodate NVIDIA’s latest GPU systems.

LG Energy Solution will work with NVIDIA on 800-volt direct-current data centre energy solutions based on NVIDIA’s battery energy storage system qualification guidelines.

In the automotive sector, LG Electronics will align its advanced driver-assistance systems and in-vehicle AI technologies with the NVIDIA DRIVE platform. The companies said the collaboration will focus on sensor, compute, and software architectures based on NVIDIA DRIVE Hyperion.

LG Electronics also plans to use NVIDIA DRIVE AGX computing platforms in future mobility applications, including AI-powered cockpit systems and edge AI processing.

LG Innotek, which supplies sensing, connectivity, and lighting components for vehicles, said it plans to work with NVIDIA on components designed for NVIDIA-based autonomous driving platforms.

The partnership also includes work on sovereign AI. NVIDIA and LG AI Research are collaborating on EXAONE, a Korean AI model family available to enterprises, developers and researchers.

LG AI Research said it used NVIDIA Blackwell GPUs, the NeMo framework, Nemotron datasets and TensorRT-LLM software during the development and deployment of EXAONE models.

LG Group is evaluating broader deployment of EXAONE and agentic AI technologies across its businesses, including through ChatEXAONE, the group’s enterprise chatbot platform.

ALSO READ: Alteryx Inspire 2026: Three Questions Every Data Leader Should Take to Orlando

Staff Writer
Staff Writer
The AI & Data Insider team works with a staff of in-house writers and industry experts.

Related

spot_img

Unpack More