LG Electronics and Nvidia in talks on robotics and AI partnership
LG Electronics and Nvidia have officially confirmed talks on cooperation in three areas: robotics, AI data centers and smart mobility. The conversation began after a personal visit by Nvidia executive Madison Huang to LG's headquarters. If the partnership goes ahead, LG would gain access to leading AI platforms for physical AI. Nvidia would gain another major manufacturer with global supply chains, at a key moment when physical AI is moving out of the lab and into production.
AI-processed from TNW; edited by Hamidun News
LG Electronics has officially confirmed talks with Nvidia on a partnership in three strategic areas at once: industrial robotics, AI data centers and intelligent mobility. The talks began after Nvidia executive Madison Huang visited the South Korean giant's headquarters.
How the talks began
Madison Huang, one of Nvidia's key business development executives, visited LG in person, which became the starting point for the dialogue. After that meeting, the companies began formally exploring joint projects. LG confirmed only the fact of the talks, without disclosing details or specific timelines, which is standard practice at the early stages of corporate negotiations of this scale.
In 2025–2026, major consumer electronics makers have been actively signing deals with AI chipmakers. LG cannot afford to hesitate: each quarter of delay narrows the chance to secure a favorable position while competitors build their technology alliances.
For LG, this is a strategically sensible move. In recent years the company has been actively diversifying beyond TVs and refrigerators into smart factories, warehouse automation, AI-controlled HVAC systems and medical equipment. A partnership with Nvidia would give it access to leading computing platforms for physical AI just as demand for them is surging.
Three areas of the partnership
According to available information, the talks cover three specific verticals:
- Robotics — integrating the Nvidia Isaac platform and specialized chips into LG's industrial products. The company already operates in this segment through its LG Innotek division.
- AI data centers — joint development of infrastructure for training and inference of models. LG makes industrial cooling systems, a critical component for GPU farms.
- Smart mobility — projects in autonomous transport and in-vehicle electronics. LG's 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 works actively with AI startups. For the company, it is essential not merely to buy technology but to build it into production processes from the very start, and this is where Nvidia's Isaac and Omniverse platforms offer key advantages.
Physical AI leaves the lab
The talks come at a turning point. Physical AI, meaning systems that act in the real world through robots, drones and autonomous vehicles, is rapidly moving from prototypes to industrial deployment. Nvidia has steadily built an ecosystem for this market:
- Jetson — a platform for edge computing directly on the device
- Isaac — an environment for training robots through simulation
- DRIVE — a suite of solutions for autonomous vehicles
- Omniverse — a platform for digital twins of factories
In 2025 the global industrial robotics market passed $50 billion and is growing 15–20% a year. Physical AI is the next level: not just remotely controlled robots, but systems that adapt in real time. With its manufacturing capacity and presence in displays, HVAC and auto components, LG is a strategically valuable partner, able to bring these technologies to the mass market considerably faster than niche startups.
"The next wave of AI will be physical: robots, factories, smart transport," a thesis
Jensen Huang repeated at CES 2025 and GTC 2026.
What this means
If the talks end in a partnership, LG would gain access to Nvidia's AI platforms for a new generation of its products, while Nvidia would gain a major manufacturer with global reach, able to scale physical AI beyond niche uses. For the market, it is a signal: the race for physical AI has reached the corporate level, and key alliances are being formed right now.
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Key Questions Answered
How the talks began?
Madison Huang, one of Nvidia's key business development executives, visited LG in person, which became the starting point for the dialogue. After that meeting, the companies began formally exploring joint projects. LG confirmed only the fact of the talks, without disclosing details or specific timelines, which is standard practice at the early stages of corporate negotiations of this scale. In 2025–2026, major consumer electronics makers have been actively signing deals with AI chipmakers. LG cannot afford to hesitate: each quarter of delay narrows the chance to secure a fa
What are the key details on Three areas of the partnership?
According to available information, the talks cover three specific verticals: Robotics — integrating the Nvidia Isaac platform and specialized chips into LG's industrial products. The company already operates in this segment through its LG Innotek division. AI data centers — joint development of infrastructure for training and inference of models. LG makes industrial cooling systems, a critical component for GPU farms. Smart mobility — projects in autonomous transport and in-vehicle electronics. LG's Vehicle Component Solutions division already supplies components to GM, St
What are the key details on Physical AI leaves the lab?
The talks come at a turning point. Physical AI, meaning systems that act in the real world through robots, drones and autonomous vehicles, is rapidly moving from prototypes to industrial deployment. Nvidia has steadily built an ecosystem for this market: Jetson — a platform for edge computing directly on the device Isaac — an environment for training robots through simulation DRIVE — a suite of solutions for autonomous vehicles Omniverse — a platform for digital twins of factories In 2025 the global industrial robotics market passed $50 billion and is growing 15–20% a year.
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