Nvidia and LG team up to build AI factories for robotics and data centers

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Nvidia and LG Group have announced a strategic collaboration aimed at building what they’re calling an “AI factory,” a partnership that spans humanoid robotics, autonomous driving, and data center development. The announcement came on June 7-8, following earlier discussions between the two companies in late April.

What the partnership actually looks like

Nvidia CEO Jensen Huang and LG Group Chairman Koo Kwang-mo discussed several concrete areas during their meetings, including motor technology development and the architecture of future data centers.

On the robotics front, LG Electronics is developing a home robot called CLoiD. The company is also building what it describes as a physical AI data factory that runs on Nvidia’s Cosmos platform. LG wants to train robots in simulated environments before deploying them in the real world, and Nvidia’s software makes that possible at scale.

Nvidia’s technology stack for this partnership includes its Isaac Sim simulation platform and DSX platform, both integrated with LG’s existing systems. Isaac Sim lets developers build and test robotic applications in photorealistic virtual environments, which dramatically cuts the cost and time of physical prototyping.

The Cosmos world models add another layer. These are generative AI models that can create synthetic training data for robots and autonomous vehicles, essentially teaching machines how to navigate the physical world without requiring millions of hours of real-world footage.

The road to this deal

This collaboration didn’t materialize overnight. Prior discussions between Nvidia and LG date back to April 29-30, 2026, when the two companies began exploring their overlapping interests in AI innovation. The June announcement represents the formalization of those conversations into a defined strategic framework.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

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