LG Electronics and Nvidia discuss partnership in robotics and AI

LG Electronics officially confirmed negotiations with Nvidia on a partnership spanning three strategic directions: industrial robotics, AI data centers, and intelligent mobility. The negotiations began following a visit by Nvidia's top manager Madison Huan to the headquarters of the Korean giant.

How the Negotiations Began

Madison Huan — one of Nvidia's key business development managers — personally visited LG, which became the starting point for dialogue. Following this meeting, the companies began formally exploring opportunities for joint projects. LG officially confirmed the fact of negotiations without disclosing details or specific timelines — standard practice in the early stages of corporate negotiations of this scale.

In 2025–2026, major consumer electronics manufacturers are actively concluding agreements with AI chipmakers. LG cannot afford to delay: each quarter of hesitation narrows opportunities for favorable positioning while competitors build technological alliances. For LG, this is a strategically sound move.

In recent years, the company has actively diversified its business beyond televisions and refrigerators: smart factories, warehouse automation, AI-controlled HVAC systems, and medical equipment. A partnership with Nvidia will provide access to leading computational platforms for physical AI precisely when demand for them is surging.

Three Partnership Directions

Based on available data, the negotiations cover three specific verticals:

• Robotics — integration of the Nvidia Isaac platform and specialized chips into LG industrial solutions. The company already operates in this segment through its LG Innotek division.

• AI Data Centers — joint development of infrastructure solutions for model training and inference. LG manufactures industrial cooling systems — a critical component for GPU farms.

• Intelligent Mobility — projects in autonomous transportation and onboard electronics. The LG Vehicle Component Solutions division already supplies components to GM, Stellantis, and other major automakers. LG has its own R&D center in Silicon Valley and actively collaborates with AI startups.

For the company, it is fundamentally important not merely to purchase technologies, but to integrate them into production processes from the outset — this is where Nvidia's Isaac and Omniverse platforms provide key advantages.

Physical AI Emerges from the Labs

The negotiations are taking place at a pivotal moment. Physical AI — systems operating in the real world through robots, drones, and autonomous transportation — is rapidly transitioning from prototypes to industrial deployment. Nvidia is consistently building an ecosystem for this market:

• Jetson — a platform for edge computing directly on the device
• Isaac — an environment for robot training through simulation
• DRIVE — a suite of solutions for autonomous transportation
• Omniverse — a platform for digital twins of factories

In 2025, the global industrial robotics market exceeded 50 billion dollars and is growing at 15–20% per year. Physical AI is the next level: not just controlled robots, but systems that adapt in real time. LG, with its manufacturing capacity and presence in displays, HVAC, and auto components — is a strategically valuable partner capable of bringing these technologies to the mass market significantly faster than niche startups.

"The next wave of AI will be physical — robots, factories, smart transportation," — a thesis that

Jensen Huang repeatedly emphasized at CES 2025 and GTC 2026.

What This Means

If the negotiations result in a partnership, LG will gain access to Nvidia's AI platforms for its next-generation products, while Nvidia — a major manufacturer with global reach capable of scaling physical AI beyond niche applications. For the market, this is a signal: the race for physical AI has reached the corporate level, and key alliances are being formed right now.