🚀 NVIDIA and LG Group Announce Massive Collaboration for Modular AI Factories!

[Alper Aktaş]

A groundbreaking development is underway in the world of artificial intelligence! NVIDIA and LG Group have joined forces to establish an integrated AI factory platform spanning a wide range of applications, from robotics to autonomous driving, data center infrastructure, and sovereign AI models.

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💡 Background of the Collaboration​

Industrial manufacturing, logistics, and automotive sectors face complex operational challenges as they transition to autonomous systems. Simulating robotic behaviors in physically accurate environments, generating high-quality training data, and meeting the significant power and thermal demands of next-generation liquid-cooled data centers require a high degree of technical integration.

A multi-company approach was inevitable to scale these operations without disrupting existing workflows. This collaboration brings together NVIDIA's end-to-end AI factory platform and accelerated computing architecture with LG Group's global manufacturing data, consumer electronics expertise, telecommunications network, and component portfolios. This joint effort transforms AI model development, digital twins, and edge deployment into a unified workflow.

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⚙️ Technical Solutions and Responsibilities​

The technological core of the partnership relies on combining NVIDIA's hardware and software ecosystems with LG's individual business subsidiaries, segmented into different functional areas:

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  []Robotics and Physical AI: LG Electronics is integrating NVIDIA Isaac Sim and NVIDIA Isaac Lab open robotics frameworks into its development processes to simulate and train home robots (e.g., CLOiD) in virtual environments. It is also exploring the NVIDIA Isaac GR00T vision-action language model for human-like reasoning. To address data scarcity, LG Electronics is utilizing NVIDIA Cosmos world foundation models for synthetic data generation in a physical AI data factory. Concurrently, LG Innotek is developing optical sensing components optimized for NVIDIA's GPU architecture, while LG CNS is incorporating these systems into its PhysicalWorks industrial robot platform.
  
  []Infrastructure and Thermal Management: The companies are developing modular AI factories compatible with the NVIDIA DSX platform. LG Electronics is conducting technical collaboration on pre-fabricated modular designs and liquid cooling solutions (including cooling distribution units (CDU) and cold plates). For core power and network infrastructure, LG Uplus, LG Electronics, and LG Energy Solution are building energy-efficient data centers to house NVIDIA GPUs. LG Energy Solution is also designing emerging 800-volt direct current data center energy solutions compliant with NVIDIA's Battery Energy Storage System (BESS) guidelines.
  
  []Autonomous Driving: LG Electronics is aligning its advanced driver-assistance systems (ADAS) and in-vehicle cockpits with the NVIDIA DRIVE Hyperion architecture and DRIVE AGX accelerated computing platform. LG Innotek will supply complementary sensing, connectivity, and lighting components designed for this architecture.
  
  []Sovereign AI Development: LG AI Research is working to develop and advance Korea's open sovereign AI model family, EXAONE, using NVIDIA Blackwell GPUs, the NVIDIA NeMo framework, and NVIDIA Nemotron open datasets. Additionally, it is using NVIDIA TensorRT-LLM software to create optimized inference engines for the ChatEXAONE enterprise chatbot.
  

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📊 Deployment and Implementation Strategy​

The implementation strategy encompasses multiple deployment phases across global manufacturing, computing, and logistics facilities. Initial development focuses on testing and validating pre-fabricated modular data centers and liquid cooling infrastructure to meet the power requirements of next-generation GPU deployments.

Physical AI components and robotic workflows will be deployed across LG CNS logistics and manufacturing layers to establish a new global smart factory standard. This autonomous manufacturing ecosystem will connect the entire supply chain, from raw material procurement to product delivery, in real-time through data. Simultaneously, automotive and sovereign AI solutions are being integrated into future product roadmaps for international consumer and enterprise markets.

This collaboration will be a significant milestone in AI-powered industrial transformation, paving the way for the smart factories of the future.