NVIDIA and LG Partner to Build Next-Generation Humanoid Robots, AI Factories, and AI-Defined Vehicles
NVIDIA and LG are expanding their collaboration in a major push to accelerate the future of Physical AI, robotics, autonomous mobility, and AI-powered manufacturing. The two companies have signed a new memorandum of understanding that moves their partnership into a broader execution phase, covering next-generation humanoid robots, AI factory infrastructure, and advanced vehicle platforms.
The agreement was announced at NVIDIA’s headquarters in Santa Clara, California, where NVIDIA CEO Jensen Huang and LG CEO Kwang Ko Moo met to formalize the next stage of their work together. The partnership highlights how quickly Physical AI is becoming a major focus for the technology industry, as companies look to bring artificial intelligence out of data centers and into real-world machines that can move, understand, adapt, and operate safely around people.
A major part of the collaboration centers on LG’s next-generation bipedal humanoid robot. The robot is planned for a public debut at CES 2027 and will be built using several NVIDIA technologies, including NVIDIA Isaac GR00T, NVIDIA Jetson Thor, and NVIDIA Halos for Robotics safety. These platforms are designed to help robots learn, reason, perceive their surroundings, and operate more safely in human environments.
Jensen Huang described Physical AI as a defining opportunity for the next era of computing, emphasizing that machines will increasingly need the ability to understand the real world, make decisions, and act safely alongside people. He said NVIDIA and LG are combining LG’s expertise in product engineering and manufacturing with NVIDIA’s AI and robotics technologies to speed up the development of robots, AI factories, and autonomous vehicles.
The upcoming LG humanoid is expected to use NVIDIA’s Open Humanoid Foundation model through Isaac GR00T, giving it access to advanced AI capabilities for movement, task execution, and interaction. NVIDIA Jetson Thor will provide the onboard computing power, while NVIDIA Halos will contribute safety-focused tools for robotics deployment.
In addition to the humanoid project, LG is also preparing to introduce its CLOiD robot, a wheel-based robotic system designed for industrial use. This robot will first be deployed in LG’s washing machine manufacturing line in Tennessee, where it will be tested in a real production environment. The goal is to validate the robot’s performance on the factory floor before expanding its use more broadly across manufacturing operations.
The partnership also includes a major focus on AI factories. LG plans to build AI factory reference sites using NVIDIA DSX architecture and NVIDIA Vera Rubin technology. These AI factories are expected to support the development, training, and deployment of Physical AI systems, including robotics and autonomous machines.
The first AI factory reference site is expected to arrive in 2027. LG also plans to build an 80MW-scale AI factory in Cheonan, with operations expected in the first half of 2028. This facility will be designed to support Physical AI and robotics workloads at a large scale, helping LG develop more advanced AI-driven systems for future products and industrial applications.
AI factories are becoming increasingly important as companies build more complex robotics and autonomous systems. These facilities combine high-performance computing, AI training infrastructure, simulation environments, and data processing systems to create intelligent machines that can be tested and improved before they enter the real world.
The third major part of the NVIDIA and LG collaboration focuses on next-generation AI-defined vehicles. LG will develop an autonomous-driving platform built on NVIDIA DRIVE Hyperion, a reference architecture designed for advanced driver-assistance systems, autonomous driving, in-car computing, and software-defined vehicle features.
NVIDIA DRIVE Hyperion will help power LG’s future automotive software capabilities, including infotainment, intelligent cockpit functions, and autonomous-driving features. As vehicles become more software-driven, platforms like DRIVE Hyperion are expected to play a key role in enabling safer, smarter, and more connected mobility experiences.
This partnership signals a broader shift in the technology industry. AI is no longer limited to chatbots, cloud services, or digital applications. Companies are now racing to bring AI into robots, cars, factories, home appliances, and other machines that interact with the physical world.
For LG, the agreement strengthens its ambitions in robotics, smart manufacturing, and automotive technology. For NVIDIA, it extends the company’s reach further into Physical AI, an area that could become one of the next major growth engines for advanced computing.
By combining LG’s global manufacturing strength with NVIDIA’s AI computing platforms, the two companies aim to build machines that can learn from real-world environments, improve over time, and perform useful tasks across homes, factories, and roads.
The planned humanoid robot debut in 2027, the development of AI factory infrastructure, and the integration of NVIDIA DRIVE Hyperion into future vehicles all point toward a future where AI-powered machines become more capable, more autonomous, and more deeply integrated into everyday life.
