NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure

<div id="bsf_rt_marker"></div><p><span style="font-weight: 400;">NVIDIA and <a target="_blank" href="https://www.doosannewsroom.com/?p=51553&amp;cat=8">Doosan Group</a> are expanding their collaboration to advance new opportunities across physical AI, robotics and AI factory infrastructure, spanning Doosan Robotics, Doosan Bobcat, Doosan Enerbility and Doosan Corporation Electro-Materials BG.</span></p> <p><span style="font-weight: 400;">The collaboration will bring together NVIDIA’s full-stack accelerated computing platforms with Doosan Group’s capabilities in industrial automation, power generation and advanced electronics materials to support next-generation AI infrastructure.</span></p> <p><span style="font-weight: 400;">Doosan Group’s businesses span several layers of the AI factory ecosystem, from intelligent robotics systems to the full spectrum of large-scale power solutions and advanced electronics materials for AI data center equipment. </span></p> <p><span style="font-weight: 400;">NVIDIA and Doosan will explore how NVIDIA’s physical AI stack, </span><a target="_blank" href="https://www.nvidia.com/en-us/data-center/products/dsx/"><span style="font-weight: 400;">NVIDIA DSX</span></a><span style="font-weight: 400;"> AI factory platform, </span><a target="_blank" href="https://www.nvidia.com/en-us/data-center/products/mgx/"><span style="font-weight: 400;">NVIDIA MGX</span></a><span style="font-weight: 400;"> and accelerated computing platforms can support these areas.</span></p> <h2><b>Advancing Physical AI and Robotics</b></h2> <p><span style="font-weight: 400;">Doosan Robotics is integrating <a target="_blank" href="https://developer.nvidia.com/isaac/sim">NVIDIA Isaac Sim</a> and <a target="_blank" href="https://developer.nvidia.com/isaac/lab">NVIDIA Isaac Lab</a> open robotics frameworks, <a target="_blank" href="https://www.nvidia.com/en-us/ai/cosmos/">NVIDIA Cosmos open world foundation models</a>, the open source <a target="_blank" href="https://developer.nvidia.com/newton-physics">Newton physics engine</a> and <a target="_blank" href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-thor/">NVIDIA Jetson Thor</a> to advance its Agentic Robot OS — an AI-powered platform connecting perception, reasoning, simulation, learning and on-device inference. </span></p> <p><span style="font-weight: 400;">By integrating <a target="_blank" href="https://www.nvidia.com/en-us/glossary/generative-physical-ai/">NVIDIA’s physical AI technologies</a>, Doosan Robotics aims to help industrial robots better perceive, reason and act in complex and dynamic environments. Simulation-to-real workflows, physics calibration and AI reasoning will make collaborative robots more adaptable, task-specialized and ready for scalable deployment. </span></p> <p><span style="font-weight: 400;">The companies are also looking to develop reference use cases for high-value industrial tasks such as depalletizing and sanding, as well as new robot form factors including dual-arm and humanoid platforms.</span></p> <p><span style="font-weight: 400;">Built on Agentic Robot OS, these capabilities aim to help Doosan Robotics evolve from a robot arm provider into a full-stack AI-first robotics solution company. The work is part of a broader, Doosan Group-wide direction for physical AI that extends beyond robotics into areas such as construction machinery and power equipment.</span></p> <p><span style="font-weight: 400;">Doosan Bobcat also plans to explore integrating NVIDIA physical AI technologies into equipment used across construction, landscaping, agriculture and material handling applications. This work will help accelerate the development of specialized world models that enable Doosan Bobcat’s equipment to perceive diverse operating environments, reason about changing conditions and perform tasks more autonomously. The companies also aim to help establish an industry-standard ecosystem for compact autonomous equipment.</span></p> <h2><b>Exploring AI Factory Power Solutions</b></h2> <p><span style="font-weight: 400;">Doosan Enerbility is exploring opportunities to support NVIDIA AI factories and the NVIDIA DSX AI factory platform through its large-scale power infrastructure portfolio, including gas turbines, steam turbines and small modular reactors, together with Doosan Fuel Cell’s hydrogen fuel-cell systems. These technologies are relevant to AI data centers that require reliable, high efficiency and continuously available power.</span></p> <p><span style="font-weight: 400;">Future collaboration could include power supply design for AI factory deployments, optimization of generation equipment and evaluation of low-carbon power sources such as small modular reactors. By aligning AI infrastructure requirements with energy system expertise, Doosan Enerbility could help address the growing power demands of accelerated computing.</span></p> <h2><b>Supporting the NVIDIA MGX Ecosystem With Advanced PCB Materials</b></h2> <p><span style="font-weight: 400;">Doosan Corporation Electro-Materials BG is supporting next-generation AI data center infrastructure through copper clad laminate, or CCL, a key foundational material for printed circuit boards. </span></p> <p><span style="font-weight: 400;">High-performance CCLs are used in printed circuit boards (PCBs) for networking equipment, AI accelerators and AI server motherboards, where low signal loss and high reliability are critical.</span></p> <p><span style="font-weight: 400;">NVIDIA MGX provides a modular reference architecture for accelerated systems, helping system manufacturers and ecosystem partners build servers and rack-scale AI factory infrastructure. As AI servers and networking systems increase in performance and bandwidth, advanced PCB materials such as CCL can play an important role in enabling high-speed signal integrity across the data center equipment ecosystem.</span></p> <p><i><span style="font-weight: 400;">Learn more about NVIDIA </span></i><a target="_blank" href="https://www.nvidia.com/en-us/data-center/products/dsx/"><i><span style="font-weight: 400;">DSX</span></i></a><i><span style="font-weight: 400;"> and </span></i><a target="_blank" href="https://www.nvidia.com/en-us/data-center/products/mgx/"><i><span style="font-weight: 400;">MGX</span></i></a><i><span style="font-weight: 400;">.</span></i></p> <p><em>Featured image courtesy of Doosan Group.</em></p>