NVIDIA is expanding its AI ecosystem through major partnerships with LG Group and SK hynix that span physical AI, robotics, autonomous driving, and next-generation AI factory infrastructure. These collaborations represent a shift beyond point solutions toward integrated platforms where hardware, software, and manufacturing capabilities are engineered together from the ground up.

What Is NVIDIA Building With LG Group and SK hynix?

On June 8, 2026, NVIDIA announced it is building an AI factory with LG Group to accelerate the company's next wave of AI-driven businesses. The partnership brings together NVIDIA's full-stack AI infrastructure platform with LG Group's expertise in consumer electronics, robotics, mobility components, smart spaces, and data center technologies. The collaboration connects AI model development, physical AI data generation, robot simulation and training, edge deployment, and factory-scale digital twins into a unified workflow for building physical AI systems.

Simultaneously, NVIDIA and SK hynix announced a multiyear technology partnership focused on advancing next-generation memory for the global AI factory buildout. SK hynix will codevelop memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered personal computers, and Jetson Thor robotic computing platforms. This agreement addresses the extended development cycles and capital investments required to sustain the global expansion of AI infrastructure.

"AI factories are the engines of the next industrial revolution, and advanced memory is essential to their performance. SK hynix has been an extraordinary partner to NVIDIA, playing a central role in delivering advanced memory technologies for NVIDIA AI computing platforms. Together, we will codevelop the next generation of memory for AI factories and support the accelerating global expansion of AI infrastructure," said Jensen Huang, founder and CEO of NVIDIA.

Jensen Huang, Founder and CEO of NVIDIA

How Are These Partnerships Structured Across Different Technology Areas?

The LG partnership spans five major collaboration areas. First, LG Electronics is developing home-based robots like CLoiD to help with indoor household tasks. By integrating NVIDIA Isaac Sim and NVIDIA Isaac Lab open robotics frameworks into their development workflows, LG can simulate, train, and validate these home robots in physically accurate virtual environments before deployment. LG is also exploring the NVIDIA Isaac GR00T open reasoning vision action language model, which will provide LG robots humanlike reasoning and the ability to execute complex tasks.

Second, LG Electronics is developing a physical AI data factory to help Korean and global companies accelerate physical AI projects. By turning compute into data, LG will provide high-quality training data for robotics and industrial AI projects using NVIDIA Cosmos world foundation models for synthetic data generation and augmentation. Third, LG Innotek, leveraging its optical expertise, plans to provide state-of-the-art robotics components and sensing solutions specifically optimized for NVIDIA's development environments and GPU architecture.

Fourth, LG CNS is building an ecosystem that enables companies to easily adopt AI robots in manufacturing and logistics sites. By integrating NVIDIA's robotics technologies including Isaac open robotics frameworks, NVIDIA Cosmos open world models, and Isaac GR00T robotic foundation models into its PhysicalWorks industrial robot platform, the company is accelerating AI transformation of logistics and manufacturing floors. Fifth, the companies are expanding cooperation in next-generation AI factories aligned with the NVIDIA DSX AI factory platform, enabling rapid deployment of scalable, high-performance supercomputing infrastructure.

What Are the Key Components of These Strategic Partnerships?

• Physical AI and Robotics: LG Electronics will integrate NVIDIA Isaac Sim, Isaac Lab, and Isaac GR00T into robot development workflows, enabling simulation, training, and validation of home robots and modular robotics platforms before real-world deployment.
• AI Factory Infrastructure: LG Electronics, LG CNS, and LG Uplus plan to build scalable, power-efficient AI factories powered by NVIDIA GPUs based on the NVIDIA DSX platform, with LG Energy Solution collaborating on 800 volt-direct-current data center energy solutions.
• Autonomous Driving and Mobility: LG Electronics will align its advanced driver-assistance systems and in-vehicle AI systems with the NVIDIA DRIVE Hyperion architecture, supporting LG's roadmap for autonomous driving, ADAS, and software-defined vehicles.
• Memory Codevelopment: SK hynix will codevelop next-generation memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs, and Jetson Thor robotic computing platforms to support the accelerating global AI factory buildout.
• Semiconductor Design Acceleration: SK hynix will use NVIDIA CUDA-X libraries and NVIDIA PhysicsNeMo framework to accelerate semiconductor simulation, technology computer-aided design workflows, and computational lithography.

How Will These Partnerships Advance Autonomous Driving?

In the mobility sector, LG Electronics is aligning its advanced driver-assistance systems and in-vehicle AI systems with the NVIDIA DRIVE platform. The collaboration will focus on aligning sensor, compute, and software architectures with the NVIDIA DRIVE Hyperion architecture, supporting LG Electronics' roadmap for autonomous driving, ADAS, and software-defined vehicles. LG Electronics also plans to use NVIDIA DRIVE AGX accelerated compute for future mobility applications, including AI-powered cockpits and edge AI processing.

LG Innotek is cementing its leadership in the autonomous driving market using its core portfolio of world-class sensing, connectivity, and lighting solutions. The company plans to collaborate with NVIDIA on next-generation components engineered specifically for NVIDIA architecture. This means future LG-powered vehicles will be built from the ground up to work with NVIDIA's autonomous driving software and computing infrastructure.

What Role Do AI Factories and Digital Twins Play?

SK hynix is developing fab digital twins as a foundation for autonomous fab operations, using NVIDIA Omniverse libraries and OpenUSD pipelines to build 3D factory scenes for visualizing, simulating, and optimizing complex semiconductor manufacturing environments. These digital twins can support operational optimization, including the movement of autonomous mobile robots and other fab assets, using the open source, GPU-accelerated NVIDIA cuOpt decision optimization engine and the NVIDIA Metropolis platform.

The companies are also exploring ways to connect digital twins with existing legacy software and agentic AI workflows, enabling AI systems to reason over fab data, automate tasks, and improve manufacturing decision-making. For LG Group, this means the entire process from raw material procurement to production, logistics, and customer delivery will be connected in real time through data and AI, establishing a new global smart factory standard.

How Do These Partnerships Address the Sovereign AI Opportunity?

NVIDIA and LG AI Research are collaborating to advance EXAONE, one of Korea's leading sovereign AI models and an open model family available to developers, enterprises, and researchers. LG AI Research used NVIDIA Blackwell GPUs, NVIDIA NeMo framework, and NVIDIA Nemotron open datasets to support EXAONE model development, as well as NVIDIA TensorRT-LLM software to build high-performance inference engines for optimized deployment. LG Group is exploring broader adoption of EXAONE and agentic AI technologies across its businesses through platforms such as ChatEXAONE, LG Group's EXAONE-based enterprise chatbot service.

These partnerships demonstrate NVIDIA's strategy to build integrated ecosystems where hardware, software, and manufacturing capabilities are optimized together. By securing commitments from major manufacturers like LG Group and memory suppliers like SK hynix, NVIDIA is creating a comprehensive platform that spans robotics, autonomous vehicles, AI factories, and sovereign AI models. For companies developing autonomous vehicles, robotics, or AI infrastructure, these partnerships signal that NVIDIA DRIVE-based systems and NVIDIA's broader AI platform will become increasingly mature, reliable, and cost-effective over the coming years.