LG Electronics is accelerating its robotics partnership with Nvidia as the two companies move to deepen cooperation around AI training infrastructure, robotics commercialization and large-scale data generation.
LG hosted senior Nvidia officials at its Data Factory, currently under construction at the company’s Yangjae R&D Campus in Seoul, where executives reviewed the status of their collaboration and discussed additional areas for joint development.
The meeting came just four days after LG Group and Nvidia signed a memorandum of understanding at Nvidia’s headquarters in Santa Clara, California, covering strategic cooperation on future business initiatives.
LG and Nvidia Move Quickly After Strategic MOU
The rapid follow-up meeting signals that both companies intend to move quickly from strategic discussions toward implementation.
LG said the two sides are working to solidify cooperation and accelerate commercialization of the company’s robotics business.
The partnership centers on combining LG’s robotics hardware and real-world data collection capabilities with Nvidia’s AI infrastructure and world-model technology.
Executives from both companies also reviewed progress at LG’s Data Factory, which is expected to become fully operational by the end of 2026.
LG Data Factory to Support Robotics AI Training
LG is building the Data Factory as a large-scale environment for generating, collecting and training robotics data.
The company has deployed LG CLOiD home robots throughout the facility to create real-world interaction data that can be used to improve robotic intelligence and performance.
LG also plans to supplement physical data collection with synthetic information generated and augmented using Nvidia Cosmos open world models.
By the end of this year, LG expects the combination of real-world and synthetic training data to reach approximately 100,000 hours.
That is equivalent to roughly 12 years of continuous data.
Nvidia Cosmos to Help Expand Robotics Dataset
Nvidia Cosmos is designed to help developers generate and simulate physical environments for training AI systems that interact with the real world.
For robotics companies, synthetic data can reduce dependence on costly and time-consuming real-world data collection while exposing models to a broader range of situations.
LG’s approach combines these synthetic environments with data directly generated by CLOiD robots, potentially giving the company a larger and more diverse training set for home robotics.
The strategy reflects a broader trend in physical AI, where companies are increasingly using simulated environments and world models alongside real-world robotics data.
LG Targets Faster Commercialization of Home Robotics
LG is positioning robotics as an important future growth area and is increasingly integrating AI into its home appliance and smart-home ecosystem.
The collaboration with Nvidia could help shorten development cycles by giving LG access to advanced AI infrastructure, simulation tools and model-training capabilities.
For Nvidia, the partnership expands the company’s role in robotics beyond chips and computing infrastructure into the development of physical AI platforms used in consumer and industrial environments.
With the Data Factory scheduled to come fully online by year-end, LG and Nvidia are now moving toward a more operational phase of their partnership, focused on building the data foundation needed to commercialize increasingly capable robots.
