LG and NVIDIA Sign Memorandum to Deepen Collaboration in Robotics, AI Factories and Mobility

LG Corp and NVIDIA said they have signed a memorandum of understanding to deepen their strategic collaboration across three technology areas: robotics, “AI factories,” and next-generation mobility. The deal is framed as an expansion of work the two companies have been aligning on, with the MoU designed to broaden how they coordinate research and development in industrial automation and intelligent systems.

The memorandum is notable because it spans both the physical side of computing, such as robots used in manufacturing and logistics, and the data-and-software side, such as AI systems that can be deployed across production lines. In practical terms, “AI factories” generally refers to using machine learning and AI-driven software to help factories optimize processes, improve throughput, and respond to changing production needs. However, the market report did not specify which AI factory workflows are included in the expanded collaboration.

For NVIDIA, the opportunity sits at the intersection of its AI infrastructure business and its work in robotics and automotive-adjacent technologies. The MoU’s mention of robotics suggests the companies intend to connect NVIDIA’s accelerated computing platforms to robotic systems, where perception, planning, and control often rely on AI models. The mobility language points to additional efforts aimed at intelligent transportation or vehicle-related technology, but the announcement did not describe specific mobility use cases or partners in the technology chain.

LG, which operates across electronics and industrial systems, has increasingly discussed smart manufacturing and advanced automation as areas of focus. The partnership’s robotics and AI-factory framing suggests a continued push to translate AI capabilities into production environments and to pursue integrated solutions that combine hardware, software, and operational deployment. The report did not indicate whether LG will lead with specific manufacturing sites, products, or platforms as part of the expanded work.

The memorandum of understanding, by design, is a framework document rather than a binding contract. The market report did not provide financial terms, revenue commitments, timelines, or milestones tied to the expanded partnership. It also did not clarify whether the MoU covers product licensing, co-development of specific hardware-software stacks, or joint go-to-market plans for particular robotics deployments.

Beyond the immediate announcement, the broader sector context matters. Robotics and factory automation have become key targets for AI investment because they bring together large volumes of operational data, repeatable physical tasks, and measurable business outcomes such as reduced downtime and improved quality. In parallel, mobility-related AI is attracting attention as companies seek to connect perception and decision-making systems to real-world environments, from logistics to transportation services.

Still, much remains undisclosed. The report did not lay out the technical scope of the collaboration, including whether the companies plan to build specific reference systems, what types of robotics platforms are contemplated, or which AI workloads will be prioritized for AI-factory deployments. It also did not state whether NVIDIA’s involvement is limited to supplying AI compute or whether it extends to deeper integration with LG’s hardware and industrial software offerings.