How NPS and NVIDIA Are Training the Next AI Leaders

2026-06-29 · Source: NVIDIA · Field: Education & Learning — Skill Development & Professional Training, Educational Technology (EdTech), Academic Research & Higher Education · Depth: Advanced, quick

Summary

The Naval Postgraduate School (NPS) in Monterey, California, is collaborating with NVIDIA to train 1500 military students and international partners in advanced AI capabilities. NPS, a unique institution focused on delivering technical solutions to the fleet, leverages NVIDIA's latest architecture, including Omniverse and DGX systems. Omniverse is used for modeling, simulation, and synthetic data generation, while DGX systems enable the training of tailor-made foundational models for unclassified national security missions. This partnership democratizes AI education beyond traditional computer science fields, empowering students to become "builders" who can deploy solutions at speed and scale. NPS emphasizes the human element in human-machine teams, ensuring the next generation is equipped to integrate AI into operational assignments, continuing its 75-year legacy of problem-solving education.

Key takeaway

For military strategists and defense technologists evaluating AI integration, recognize that hands-on training with advanced platforms like NVIDIA DGX and Omniverse is critical. Your teams should prioritize equipping personnel with practical AI development and deployment skills, moving beyond theoretical understanding. This approach ensures future leaders can build and implement tailored AI solutions for national security missions at speed and scale.

Key insights

The Naval Postgraduate School partners with NVIDIA to equip military leaders with AI development and deployment skills for national security.

Principles

• AI education must extend beyond traditional tech fields.
• Training future leaders in AI is crucial for national security.
• Operational challenges should drive AI solution development.

Method

NPS utilizes NVIDIA Omniverse for synthetic data and simulation, then DGX systems to train foundational AI models tailored for unclassified national security applications, integrating these into operational scenarios.

In practice

• Use Omniverse for synthetic data generation.
• Train custom foundational models on DGX systems.
• Deploy AI solutions in operationally relevant scenarios.

Topics

• Naval Postgraduate School
• NVIDIA DGX
• NVIDIA Omniverse
• AI Training
• National Security AI
• Foundational Models

Best for: AI Student, AI Engineer, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA.