NVIDIA and Doosan Group Partner to Drive Physical AI and Energy Solutions for Data Centers
NVIDIA and Doosan Group have entered a strategic partnership to integrate physical AI and advanced power solutions into industrial robotics and data center infrastructure. The collaboration, announced this week, focuses on combining NVIDIA's computing platforms with Doosan's heavy industry expertise to address the growing energy and automation demands of the artificial intelligence sector.
The agreement spans multiple Doosan subsidiaries, each targeting a specific layer of the AI value chain. Doosan Robotics is developing an Agentic Robot OS by integrating the NVIDIA Isaac framework and Jetson Thor modules. This system aims to provide autonomous robots with the processing power required for complex decision-making in construction and agriculture. By utilizing Jetson Thor, these machines can handle real-time multimodal sensor data, moving beyond pre-programmed tasks toward true autonomous operation.
Powering the AI Data Center
A key component of the physical AI expansion involves Doosan Enerbility, which is exploring specialized power infrastructure for AI data centers. As these facilities require increasingly massive amounts of electricity, the partnership is investigating the use of small modular reactors (SMRs) and hydrogen fuel cells. These technologies offer a path toward carbon-neutral energy sources that can meet the high-density power requirements of modern GPU clusters.
In addition to energy generation, Doosan Corporation Electro-Materials is supplying copper clad laminate (CCL) for high-performance printed circuit boards. These specialized materials are essential for the NVIDIA MGX and DSX infrastructure standards, ensuring that AI servers can maintain signal integrity at the high speeds required for large-scale model training and inference.
The collaboration also seeks to establish new industry standards for compact autonomous equipment. By aligning Doosan's hardware with NVIDIA's software stack, the companies intend to create a blueprint for the AI factory of the future. This involves not only the robots on the floor but also the underlying power and material science that allows these systems to scale across global industrial markets.
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NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure
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