NVIDIA DGX GB300 Supercomputer Powers Naval Postgraduate School

NVIDIA founder and CEO Jensen Huang commissioned a DGX GB300 system at the Naval Postgraduate School in Monterey, California, bringing a powerful AI platform online for military education and research. The supercomputer provides over 1,500 resident students and 600 faculty with on-premises access to large-scale AI computing for applications including weather prediction, cybersecurity, and disaster resilience. “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 at the commissioning event. This collaboration aims to modernize both the technology and the education of future military leaders, equipping them to leverage AI in critical national security roles.

The DGX GB300 is not simply a hardware upgrade, but a foundational element of an NVIDIA AI Technology Center dedicated to AI research and graduate instruction. Admiral Samuel Paparo, commander of the U.S., emphasized the importance of this technological advancement, stating, “As we modernize our technology, we must also modernize how we educate our leaders.” The supercomputer will facilitate applications spanning weather prediction, cybersecurity protocols, and the development of disaster resilience and response planning, areas demanding substantial computational power. Researchers are already leveraging AI to model sea conditions, forecast atmospheric changes, and construct digital twins of complex environments, work directly applicable to NPS’s core scientific domains. This capability allows for the in-house training of foundation models and the execution of high-fidelity simulations at scale. Huang addressed attendees, highlighting the accessibility of modern AI tools, saying, The collaboration extends beyond hardware, with NVIDIA’s Deep Learning Institute providing instructor toolkits to integrate AI throughout NPS’s graduate curricula.

The Naval Postgraduate School (NPS) is actively integrating advanced artificial intelligence capabilities into its curriculum through a broadened collaboration with the NVIDIA Deep Learning Institute. This expansion goes beyond simply providing hardware; it delivers instructor toolkits directly to NPS faculty, embedding AI principles across multiple graduate departments. A partnership with MITRE has yielded a framework, built on NVIDIA Omniverse libraries, for creating high-fidelity digital twin environments used to simulate real-world navigation and decision-making under uncertain conditions. Jensen Huang, NVIDIA founder and CEO, underscored the accessibility of these technologies, telling attendees, This emphasis on practical engagement reflects a broader goal of preparing leaders to effectively utilize AI in rapidly evolving operational environments, where, as Admiral Paparo noted, “Information will move at lightning speeds, compressing response times.”.

The Naval Postgraduate School is the military’s primary technical graduate university. Beyond NVIDIA’s core contribution, companies like DDN, VAST, and Vertiv played integral roles in bringing the supercomputer online, demonstrating that large-scale AI deployment requires collaborative expertise. DDN supplied high-performance data infrastructure, enabling NPS researchers to efficiently manage and scale the vast datasets required for demanding AI workloads. VAST Data provided a unified data platform, securing data access across multiple environments, while Vertiv addressed the physical demands of the system with specialized racks, cooling, and power infrastructure, including installation and ongoing monitoring. Huang stated to attendees, “Many of you will command in AI-enabled environments.”