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LG Electronics in talks with Nvidia on robotics, AI data centres and mobility

LG Electronics is in discussions with NVIDIA over potential cooperation in robotics

By Zainab Talha |
LG Electronics in talks with Nvidia on robotics, AI data centres and mobility
LG Electronics in talks with Nvidia on robotics, AI data centres and mobility

LG Electronics is in discussions with NVIDIA over potential cooperation in robotics, artificial intelligence (AI) data centres and mobility technologies, LG said, as global tech firms accelerate investment in so-called physical AI systems.

The South Korean company said the talks with Nvidia cover multiple areas, including robotics development, AI-driven data centre solutions and future mobility applications. 

The discussions reflect a broader industry push to integrate advanced AI hardware and software into manufacturing, transport and computing infrastructure.

The announcement comes as leading technology companies race to expand their capabilities in high-performance computing and embodied AI systems, where artificial intelligence is embedded into machines, vehicles and industrial equipment.

While no formal agreement has been reached, the potential collaboration underscores growing alignment between traditional electronics manufacturers and AI-focused chipmakers as demand for computing power continues to surge.

The talks gained attention following reports that Madison Huang, a senior Nvidia executive working on physical AI platforms and daughter of Nvidia chief executive Jensen Huang, recently visited LG Electronics and other major South Korean firms, highlighting increasing engagement between the companies at senior levels.

LG did not disclose details on the scope or timeline of any possible partnership, and Nvidia has also not commented publicly on the discussions.

Both companies are positioning themselves in rapidly expanding sectors where robotics, autonomous systems and AI infrastructure are expected to play a central role in the next generation of industrial and consumer technology.

Analysts say such partnerships could help bridge hardware manufacturing expertise with cutting-edge AI compute capabilities, a combination seen as increasingly important in global competition over artificial intelligence leadership.