Booz Allen at NVIDIA GTC Washington, DC 2025

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Booz Allen Expert Presentations at NVIDIA

Booz Allen experts illuminated the evolving convergence of the digital and physical worlds—showing how the integration of digital engineering, sensing, AI, robotics, and immersive interfaces across industries is accelerating the technology flywheel.

Presenters:
Booz Allen Chief Technology Officer, Bill Vass
Booz Allen Senior Vice President, Munjeet Singh

Leaders of the AI-Native Wireless Networks (AI WIN) Project discussed its role in advancing U.S. innovation and competitiveness. Panelists brought firsthand insights on the progress made since the initiative was launched and discussed the benefits and applications of a secure, homogenous AI-RAN platform that serves as an on-ramp to fully AI-native 6G systems.

Presenters:
Booz Allen Senior Vice President of Edge and NextG Networks, Chris Christou
Other leaders of the AI WIN Project

Learned how Booz Allen is helping teams solve tough problems faster and design more resilient systems by combining Synopsys’s GPU accelerated, physics-based simulations with NVIDIA Omniverse to create more immersive, data-driven environments.

Presenters:
Booz Allen Director of Physical AI, Greg Kacprzynski
Synopsys Global Head of Ecosystem Marketing, Arun Bhattacharya

Event Demos

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Physical AI

We shared a range of demos highlighting how we're operationalizing Physical AI for real-world applications:

  • Rapid 3D aerial reconstruction using advanced volumetric data structures
  • Open-world modeling in NVIDIA Isaac Sim for dynamic testing environments
  • Digital proving ground for robust, safe, and affordable evaluation of autonomous AI systems
  • Autonomous behaviors for motorsports using reinforcement learning in physically accurate environments
  • Concurrent AI models at the edge featuring a quadruped robot and body-worn computer device, demonstrating efficient multimodal AI
AI-Native Radio Access Networks

We showcased how AI-native Radio Access Networks think at the edge by demonstrating key features:

  • NVIDIA-based stack that incorporates advanced AI wireless technologies and hosts Edge AI applications
  • Integrated sensing and communications (ISAC) that works in low-visibility or obstructed environments
  • The Booz Allen R.AI.DIO® AI-powered radio signal detection and identification capability

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