LG and NVIDIA Partner to Launch Humanoid Robot in Q1 2027, Build 80 MW AI Factory

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LG Group and NVIDIA signed a strategic collaboration MoU to develop a bipedal humanoid robot powered by NVIDIA Isaac GR00T, launching in Q1 2027. The partnership spans robotics, AI factory infrastructure, and autonomous vehicles, with LG planning an 80 MW AI data center in South Korea by H1 2028.

LG NVIDIA Partnership Expands Into Robotics and AI Infrastructure

LG Group and NVIDIA formalized their strategic collaboration on August 13 at NVIDIA's Santa Clara headquarters, with LG Corp Chairman Kwang Mo Koo and NVIDIA CEO Jensen Huang signing a memorandum of understanding that maps out cooperation across robotics, AI factory development, and mobility.

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This LG NVIDIA partnership builds on years of collaboration and represents a major push into physical AI, where machines gain the ability to understand the real world, reason, and act safely alongside people.

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The agreement came just two months after executives from both companies agreed to cooperate in the AI industry, and now specifies detailed plans across three core areas.

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Source: Korea Times

Source: Korea Times

Next-Generation Humanoid Robot Debuts Q1 2027

LG plans to publicly unveil a bipedal humanoid robot in the first quarter of 2027, developed using NVIDIA Isaac GR00T, NVIDIA's open reasoning humanoid foundation model.

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The humanoid robot will use NVIDIA Jetson Thor for onboard computing, advanced reasoning, and control, along with NVIDIA Halos for Robotics, described as the industry's first full-stack integrated safety system for robotics.

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This next-generation humanoid robot showcases "One LG" capabilities, combining technologies from LG Electronics, LG Innotek, and LG Energy Solution, including actuators that serve as muscles, sensors functioning as eyes, and batteries.

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The robot represents LG's ambition to reshape everyday life from homes and factory floors to roads through AI-driven technologies.

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Real-World Validation Through LG CLOiD Deployment

Before the humanoid robot launch, LG will deploy LG CLOiD, its wheel-based robot, at LG Electronics' washing machine manufacturing line in Tennessee within 2026 for real-world validation in a production environment.

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This deployment serves as a proof of concept and will generate valuable robot data and manufacturing-site experience.

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Based on validation results from the LG Electronics Tennessee facility, LG plans to refine the robots' performance and utility before expanding deployment to global production facilities, homes, and commercial spaces.

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The experience gained will strengthen the competitiveness of LG's own robot foundation models, which are currently under development.

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Robot Data Platform Powers Physical AI Development

The strategic collaboration includes work on a robot data factory powered by LG CNS PhysicalWorks, LG's robot data platform that supports continuous data collection, synthetic data generation, robotics training, and verification.

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This robot data platform will enable an on-site physical AI data factory covering the full development cycle for autonomous systems.

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LG plans to utilize NVIDIA Isaac GR00T ecosystem while simultaneously building up its own AI model capabilities and developing in-house robot foundation models.

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The robot data and manufacturing-site validation experience from the collaboration will directly feed into advancing these proprietary models.

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AI Factory Plans Scale to 80 MW by 2028

LG is using the NVIDIA DSX AI factory architecture together with One LG capabilities across AI infrastructure, including thermal management, power, design, and operations.

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The company outlined a two-stage roadmap: building an AI factory reference site powered by NVIDIA Vera Rubin in the first half of 2027, followed by constructing an 80 MW-scale LG AI factory in Cheonan, Chungcheongnam-do in the first half of 2028.

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This AI data center will combine NVIDIA's DSX data center architecture with LG Electronics' cooling solutions, LG Energy Solution's batteries, LG Uplus' operational capabilities, and LS Group's power solutions.

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The facility will advance physical AI technologies and robot foundation models while validating a One LG end-to-end AI factory solution.

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Global AI Infrastructure Market Opportunities

LG plans to use the validated solution to pursue business opportunities in the global AI infrastructure market, including turnkey One LG package solutions for global big tech customers.

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"As our discussions have moved fast, our tasks and goals in AI Factory and Physical AI have become clear. We will accelerate the spread of AI by building industry-leading references," said Kwang Mo Koo, Chairman and CEO of LG Corp.

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The prefabricated design approach for the 80 MW facility aims to shorten construction periods, potentially offering a competitive advantage in rapid AI data center deployment.

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AI-Defined Vehicle Platform Expands Into Autonomous Driving

LG plans to develop a high-performance computing platform for next-generation AI-defined vehicles based on NVIDIA DRIVE Hyperion, integrating LG's in-vehicle infotainment and automotive software capabilities.

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The AI-defined vehicle platform will leverage NVIDIA's AI-based autonomous driving technologies and vehicle computing capabilities, allowing LG to expand its existing vehicle component business beyond in-vehicle infotainment into the autonomous driving domain.

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LG plans to provide global OEMs with automotive solutions combining autonomous driving features and in-cabin AI services, positioning the company in the rapidly growing mobility sector.

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Joint Task Force Drives Implementation

LG and NVIDIA will operate a joint task force comprising technical and business experts working across R&D, site validation, and commercialization.

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The task force structure signals serious commitment to execution across all three cooperation areas. Jensen Huang, founder and CEO of NVIDIA, emphasized the partnership's significance: "Building on years of collaboration, LG and NVIDIA are combining LG's leadership in product engineering and manufacturing with NVIDIA technology to accelerate the next era of robots, AI factories and autonomous vehicles."

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This strategic collaboration positions both companies to capitalize on the defining opportunity of physical AI as machines gain capabilities to understand, reason, and act safely in real-world environments.

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