Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
NVIDIA Launches DGX GB300 AI Supercomputer at Naval Postgraduate School
NVIDIA's founder and CEO Jensen Huang inaugurated the NVIDIA DGX GB300 supercomputer at the Naval Postgraduate School in Monterey, California. This advanced AI platform will support over 1,500 students and 600 faculty members, enhancing their capabilities in model training and inference for various applications, including cybersecurity and disaster response. The introduction of the DGX GB300 is significant as it strengthens the ongoing collaboration between NVIDIA and NPS, aimed at developing AI technologies for educational and practical use. The supercomputer is part of the NVIDIA AI Technology Center on campus, providing essential resources for research and instruction in AI. Looking ahead, the DGX GB300 will enable NPS to train foundation models and conduct high-fidelity simulations, enhancing the educational experience for military officers and international partners. No further timeline was disclosed at the time of publication.
NVIDIA Donates DGX GB300 Supercomputer to Naval Postgraduate School for AI Research
NVIDIA has donated its DGX GB300 supercomputer to the Naval Postgraduate School (NPS) in Monterey, California, to enhance AI research and education. This donation is part of a Cooperative Research and Development Agreement (CRADA) signed in December 2024, aimed at fostering collaborative AI initiatives between NVIDIA and NPS. The NPS has a long-standing tradition of integrating advanced computing technologies into military training and research, dating back to its acquisition of early computing systems in the 1950s. The DGX GB300, featuring 36 NVIDIA Grace CPUs and 72 NVIDIA Blackwell Ultra GPUs, will enable NPS faculty and students to conduct large-scale AI applications, accelerating data analysis and model training. As warfare evolves, the need for rapid decision-making and data-driven insights becomes critical. The integration of the DGX GB300 is expected to enhance the capabilities of NPS researchers, allowing them to identify patterns and generate insights more efficiently, ultimately supporting the US military's strategic objectives in complex operational environments. No further timeline was disclosed at the time of publication.
AI and Robotics
US Naval Postgraduate School to Demonstrate Mobile 3D Printing for Spare Parts in RIMPAC 2026
The US Naval Postgraduate School’s Consortium for Advanced Manufacturing Research and Education is set to showcase mobile 3D printing capabilities during the Rim of the Pacific 2026 exercise. This initiative will involve deploying advanced manufacturing systems on ships and locations throughout Hawaii to produce and distribute spare parts on demand, significantly reducing wait times for critical components. This mobile, distributed factory network aims to enhance operational efficiency by allowing ships to submit digital requests for spare parts while deployed. By leveraging specialized software, the nearest suitable machine or operator can be identified to either locate or 3D print the required part, which may then be delivered via unmanned drone. This capability is particularly crucial in combat scenarios where traditional supply chains may be disrupted. The RIMPAC 2026 exercise will involve 35 nations, 40 warships, 5 submarines, and over 25,000 personnel, providing a comprehensive platform to test this innovative supply chain solution. The focus will be on evaluating the entire network and delivery process rather than just individual 3D printing capabilities, marking a significant step in military logistics and operational readiness.
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