NVIDIA and Doosan Group are increasing their collaboration to advance new alternatives throughout bodily AI, robotics and AI manufacturing unit infrastructure, spanning Doosan Robotics, Doosan Bobcat, Doosan Enerbility and Doosan Company Electro-Supplies BG.
The collaboration will deliver collectively NVIDIA’s full-stack accelerated computing platforms with Doosan Group’s capabilities in industrial automation, energy technology and superior electronics supplies to assist next-generation AI infrastructure.
Doosan Group’s companies span a number of layers of the AI manufacturing unit ecosystem, from clever robotics programs to the total spectrum of large-scale energy options and superior electronics supplies for AI knowledge middle tools.
NVIDIA and Doosan will discover how NVIDIA’s bodily AI stack, NVIDIA DSX AI manufacturing unit platform, NVIDIA MGX and accelerated computing platforms can assist these areas.
Advancing Physical AI and Robotics
Doosan Robotics is integrating NVIDIA Isaac Sim and NVIDIA Isaac Lab open robotics frameworks, NVIDIA Cosmos open world basis fashions, the open supply Newton physics engine and NVIDIA Jetson Thor to advance its Agentic Robotic OS — an AI-powered platform connecting notion, reasoning, simulation, studying and on-device inference.
By integrating NVIDIA’s bodily AI applied sciences, Doosan Robotics goals to assist industrial robots higher understand, cause and act in complicated and dynamic environments. Simulation-to-real workflows, physics calibration and AI reasoning will make collaborative robots extra adaptable, task-specialized and prepared for scalable deployment.
The businesses are additionally trying to develop reference use instances for high-value industrial duties corresponding to depalletizing and sanding, in addition to new robotic kind elements together with dual-arm and humanoid platforms.
Constructed on Agentic Robotic OS, these capabilities purpose to assist Doosan Robotics evolve from a robotic arm supplier right into a full-stack AI-first robotics resolution firm. The work is a part of a broader, Doosan Group-wide course for bodily AI that extends past robotics into areas corresponding to development equipment and energy tools.
Doosan Bobcat additionally plans to discover integrating NVIDIA bodily AI applied sciences into tools used throughout development, landscaping, agriculture and materials dealing with functions. This work will assist speed up the event of specialised world fashions that allow Doosan Bobcat’s tools to understand various working environments, cause about altering situations and carry out duties extra autonomously. The businesses additionally purpose to assist set up an industry-standard ecosystem for compact autonomous tools.
Exploring AI Factory Energy Options
Doosan Enerbility is exploring alternatives to assist NVIDIA AI factories and the NVIDIA DSX AI manufacturing unit platform by way of its large-scale energy infrastructure portfolio, together with fuel generators, steam generators and small modular reactors, along with Doosan Gas Cell’s hydrogen fuel-cell programs. These applied sciences are related to AI knowledge facilities that require dependable, excessive effectivity and constantly obtainable energy.
Future collaboration might embrace energy provide design for AI manufacturing unit deployments, optimization of technology tools and analysis of low-carbon energy sources corresponding to small modular reactors. By aligning AI infrastructure necessities with vitality system experience, Doosan Enerbility might assist deal with the rising energy calls for of accelerated computing.
Supporting the NVIDIA MGX Ecosystem With Superior PCB Supplies
Doosan Company Electro-Supplies BG is supporting next-generation AI knowledge middle infrastructure by way of copper clad laminate, or CCL, a key foundational materials for printed circuit boards.
Excessive-performance CCLs are utilized in printed circuit boards (PCBs) for networking tools, AI accelerators and AI server motherboards, the place low sign loss and excessive reliability are crucial.
NVIDIA MGX gives a modular reference structure for accelerated programs, serving to system producers and ecosystem companions construct servers and rack-scale AI manufacturing unit infrastructure. As AI servers and networking programs improve in efficiency and bandwidth, superior PCB supplies corresponding to CCL can play an vital function in enabling high-speed sign integrity throughout the info middle tools ecosystem.
Study extra about NVIDIA DSX and MGX.
Featured picture courtesy of Doosan Group.
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