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

NVIDIA and Doosan are expanding their partnership across robotics, autonomous equipment, AI factory power and advanced PCB materials for next-generation data centers.

Sunday June 7, 2026 Source: nvidia.com
TL;DR — Quick Answer

NVIDIA and Doosan Group announced on June 7, 2026 that they are expanding their collaboration across physical AI, robotics and AI factory infrastructure. The work spans four Doosan businesses: Doosan Robotics is building an Agentic Robot OS on NVIDIA Isaac Sim, Isaac Lab, Cosmos and Jetson Thor; Doosan Bobcat is exploring autonomous construction and agricultural equipment; Doosan Enerbility is exploring power solutions including gas turbines, steam turbines and small modular reactors; and Doosan Electro-Materials is supplying copper clad laminate for AI server boards.

Key Takeaways

NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure — AI news article illustration

NVIDIA and Doosan Group announced on June 7, 2026 that they are expanding their collaboration to advance physical AI, robotics and AI factory infrastructure. The partnership spans four Doosan businesses and touches nearly every layer of the AI factory ecosystem.

Robotics Gets an Agentic OS

Doosan Robotics is integrating NVIDIA Isaac Sim, Isaac Lab, Cosmos world foundation models, the open source Newton physics engine and Jetson Thor into its Agentic Robot OS, a platform connecting perception, reasoning, simulation, learning and on-device inference. The goal is robots that can perceive, reason and act in complex environments.

Planned reference use cases include high-value industrial tasks such as depalletizing and sanding, along with new robot form factors including dual-arm and humanoid platforms.

Bobcat and Autonomous Equipment

Doosan Bobcat plans to explore integrating NVIDIA physical AI technologies into equipment used across construction, landscaping, agriculture and material handling. The aim is specialized world models that help compact equipment perceive varied environments and operate more autonomously.

Powering the AI Factory

AI data centers demand reliable, high-efficiency, continuously available power. Doosan Enerbility is exploring how its portfolio of gas turbines, steam turbines and small modular reactors, plus Doosan Fuel Cell hydrogen systems, can support NVIDIA AI factories and the NVIDIA DSX platform.

Advanced Materials for MGX

Doosan Corporation Electro-Materials BG supplies copper clad laminate, a foundational material for printed circuit boards. High-performance CCL is used in AI accelerators, server motherboards and networking equipment where low signal loss and reliability are critical, supporting the modular NVIDIA MGX ecosystem.

The Bigger Picture

The deal shows physical AI maturing from demos into supply chains and power contracts. For NVIDIA, the partnership widens its industrial reach; for Doosan, it is a path from robot arm maker to full-stack AI-first robotics company.

Frequently Asked Questions

What did NVIDIA and Doosan Group announce?

On June 7, 2026, NVIDIA and Doosan Group said they are expanding their collaboration across physical AI, robotics and AI factory infrastructure, spanning Doosan Robotics, Doosan Bobcat, Doosan Enerbility and Doosan Corporation Electro-Materials BG.

What NVIDIA technologies is Doosan Robotics using?

Doosan Robotics is integrating NVIDIA Isaac Sim, Isaac Lab, Cosmos world foundation models, the open source Newton physics engine and NVIDIA Jetson Thor into its Agentic Robot OS.

How is Doosan involved in AI factory power?

Doosan Enerbility is exploring support for NVIDIA AI factories and the NVIDIA DSX platform through gas turbines, steam turbines, small modular reactors and Doosan Fuel Cell hydrogen systems.

What role do Doosan materials play in AI data centers?

Doosan Corporation Electro-Materials BG produces copper clad laminate, a foundational material for high-performance printed circuit boards used in AI accelerators, server motherboards and networking gear.

This article is based on the official announcement from nvidia.com . Read the original for full technical details.

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