The US Military's Top Graduate School Just Switched On One of the World's Most Powerful AI Supercomputers
Jensen Huang flew to Monterey to personally commission a cutting-edge AI machine at the Naval Postgraduate School. Here is what it does, and why it matters beyond the military.
Key points
- NVIDIA CEO Jensen Huang commissioned the DGX GB300, a high-end AI supercomputer, at the Naval Postgraduate School (NPS) in Monterey, California, in May 2025.
- More than 1,500 resident students and 600 faculty at NPS now have on-site access to the machine for research spanning weather prediction, cybersecurity and disaster planning.
- Admiral Samuel Paparo, commander of US Pacific Command, spoke at the event and called AI literacy essential for future military leaders.
- Infrastructure partners DDN, VAST Data and Vertiv built out the storage, data management and power systems that keep the supercomputer running.
- The school already uses AI to build digital twins, simulated copies of real-world environments used to practise navigation and decision-making without real-world risk.
Imagine a library that can read every book it owns, cross-reference them all in seconds, and write a custom report just for you. That is roughly what an AI supercomputer does for researchers, except the "books" are enormous data sets and the "report" might be a simulation of a typhoon or a cyberattack.
That kind of machine is now running at the Naval Postgraduate School, the US military's flagship graduate university.
What exactly got switched on?
The system is called the DGX GB300, a purpose-built AI supercomputer from NVIDIA, the chip company best known for making the graphics cards inside gaming PCs. NVIDIA announced the commissioning at NPS's three-day Converge @ NPS event.
The machine gives NPS the power to train foundation models, meaning large AI systems built from scratch on the school's own data rather than borrowed from a commercial provider. It can also run high-fidelity simulations at scale, creating detailed, accurate virtual recreations of real conditions.
Researchers are already using it to model sea conditions, predict atmospheric changes, and build digital twins of complex environments. A digital twin is a detailed virtual copy of a physical place or system, used to test decisions before anyone acts in the real world.
The school has also partnered with MITRE, a US nonprofit research organisation, to build simulation environments for practising navigation and decision-making under uncertain conditions.
Why does this matter outside the military?
Much of the research at NPS feeds into science that eventually reaches civilian life. Weather prediction models, disaster resilience planning and cybersecurity tools developed here can inform how communities prepare for floods, hurricanes or infrastructure attacks.
Huang made that point plainly at the event. "All of this technology is just tools to help you," he told attendees, adding that even non-computer-science experts can engage with today's AI systems because the technology is built to be increasingly approachable.
Admiral Paparo put the stakes in operational terms. "Information will move at lightning speeds, compressing response times," he said. "Our advantage will come from leaders who can use the technology to see, understand, decide and act faster."
What else is the school building?
NPS runs regular hackathons, intensive problem-solving competitions, that have produced advances in ocean research and autonomous systems. The DGX GB300 will now power those workloads on campus.
NVIDIA has also expanded an instructor programme through its Deep Learning Institute, giving NPS faculty training toolkits so AI is woven into graduate courses across departments, from space operations to ocean science.
The hardware partners behind the machine are worth noting. DDN built high-performance data storage. VAST Data supplied a unified platform for secure data access across different computing environments. Vertiv handled the physical racks, cooling systems and power infrastructure needed to keep the whole thing running safely.
For ordinary readers, the practical takeaway is straightforward: the tools military researchers use today tend to become the civilian tools of tomorrow. Getting AI into the hands of people trained to think critically about consequences is, by most measures, a sensible place to start.
