Nvidia installs AI supercomputer at US naval school

NVIDIA has commissioned a DGX GB300 AI supercomputer at the Naval Postgraduate School in Monterey, California. The system is now available to students, researchers and faculty at the U.S. military's graduate university.

The installation gives the school's more than 1,500 in-resident students and 600 faculty on-premises access to large-scale AI computing for model training and inference. The school and NVIDIA have identified potential uses in weather prediction, cybersecurity, disaster resilience and response planning.

The commissioning is the latest step in a broader collaboration between NVIDIA and the Naval Postgraduate School, which has also established an NVIDIA AI Technology Centre on the Monterey campus. The centre serves as a hub for AI research and graduate instruction, with the DGX GB300 now at the core of that effort.

The Naval Postgraduate School educates active-duty officers and international partners in subjects including space operations and ocean science. Its graduate programmes place strong emphasis on applied research tied to operational and scientific challenges.

Jensen Huang, founder and Chief Executive Officer of NVIDIA, visited the campus for the commissioning and spoke about the role of information in military decision-making. "Our nation depends on our men and women who fight on the front lines. Nothing is more valuable to you than information and insight, and information and insight in a timely way, and to understand its impact and consequence," Huang said. "I can't imagine anything more important."

The system will allow users to train foundation models in-house, run large simulations and develop AI tools for practical use. It adds local computing resources to programmes already working on ocean modelling, atmospheric prediction and digital representations of complex environments.

Leadership focus

Military leaders tied the investment in AI computing to changes in professional education. Admiral Samuel Paparo, Commander of the U.S. Pacific Command, said access to advanced systems should shape how officers are trained for decision-making in technology-heavy environments.

"As we modernize our technology, we must also modernize how we educate our leaders," Paparo said. "Access to advanced computing capability means NPS students and faculty understand the opportunities and responsibilities that come with these technologies."

Huang also described the technology as a practical tool rather than a specialist field reserved for computer scientists. He told attendees that the systems now available lower the barrier to engaging with AI.

"Leadership is about being in service of something else. You're in service of your team. You're in service of your country. You're in service of your mission," Huang said. "And all of this technology is just tools to help you."

He urged students and faculty to work directly with the technology. "The most important advice that I would give to someone is to engage the technology," Huang said. "It's not as hard as you think it is, and the reason for that is because, on first principles, technology is supposed to get smarter and smarter over time."

NVIDIA has expanded the relationship through its Deep Learning Institute, which provides instructor toolkits to faculty so AI methods can be integrated across graduate teaching. The aim is to spread use of the technology beyond specialist technical departments.

Paparo said that shift matters because future command environments will be shaped by faster information flows and narrower decision windows. "Many of you will command in AI-enabled environments. Information will move at lightning speeds, compressing response times," he said. "Our advantage will come from leaders, like you, who can use the technology to see, understand, decide and act faster while exercising the judgment, experience and leadership that machines cannot provide. That education is happening here at NPS."

Research uses

The Naval Postgraduate School already runs hackathons and research projects in autonomy, ocean science and operations planning. Those efforts often require substantial computing resources to move from prototypes to larger simulations or operational testing.

Researchers are using AI to model sea conditions, predict atmospheric changes and build digital twins of real environments. The new system will support those workloads on campus rather than relying solely on outside computing resources.

Through a partnership with MITRE, the school has also developed a framework based on NVIDIA Omniverse libraries for digital twin environments. The framework is intended to simulate navigation and decision-making under uncertain real-world conditions.

Infrastructure partners

Several technology partners also took part in the installation. DDN, VAST and Vertiv contributed hardware and systems integration.

DDN supplied data infrastructure for access, management and protection of research data used in AI workloads. VAST Data provided a platform designed to manage access across edge, core and cloud environments. Vertiv supplied racks, cooling and power infrastructure, along with installation, testing and commissioning support.

The result is a campus-based AI system the school plans to use for graduate education and applied research tied to military and scientific needs.