LG and Nvidia Partner to Scale 'Physical AI' via Humanoid Robots

LG Corp. and Nvidia have entered a strategic partnership to transition artificial intelligence from digital environments into the physical world. The two companies signed a memorandum of understanding (MoU) on August 13, 2026, at Nvidia's headquarters in Santa Clara, California, to co-develop "Physical AI" across robotics, industrial manufacturing, and autonomous driving.

The collaboration focuses on the immediate development of advanced robotics. LG is currently building a bipedal humanoid reference robot powered by Nvidia's Jetson Thor computing platform and the Isaac GR00T foundation model, with a planned unveiling in the first quarter of 2027. Additionally, LG will deploy a wheelbase-type humanoid robot, known as LG CLOi, on a washing machine production line in Tennessee by the end of 2026 to conduct real-world validation.

Scaling the Infrastructure

To support these ambitions, LG is investing heavily in the underlying compute power required for robot foundation models. The company plans to complete an 80-megawatt AI factory in Cheonan, South Chungcheong Province, by the first half of 2028. This facility will serve as the backbone for training and refining the AI models that govern the physical movements and decision-making processes of their robotic fleet.

The Shift to Physical AI

This alliance represents a fundamental shift from simple technical cooperation to a joint business partnership. By combining LG's massive hardware manufacturing scale with Nvidia's dominance in AI compute, the partnership aims to establish the industry standard for how AI interacts with the physical environment. The goal is to move beyond chatbots and data centers, integrating intelligence directly into the machines that build products and transport people.

Nvidia CEO Jensen Huang emphasized the breadth of the project's potential, stating that the collaboration "will transform our daily lives, from the home to the factory floor to the road."

Industry Implications

For the broader market, this partnership signals an acceleration in the race for viable humanoid robotics. The integration of a foundation model like GR00T into LG's hardware suggests a move toward general-purpose robots that can learn tasks through observation rather than rigid programming. If the Tennessee deployment proves successful, it could trigger a wider rollout of AI-driven automation across global manufacturing hubs.

Observers will now be watching for the Q1 2027 unveiling of the bipedal robot to see if the partnership can solve the complex balance of mobility and intelligence. While the strategic framework is set, the primary challenge remains the seamless integration of Nvidia's software with LG's physical actuators in unpredictable industrial settings.