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Nvidia And The Mobile Network That Thinks for Itself

The next big U.S. wireless network may not just carry your calls. It may help place first responders inside a smoke-filled warehouse and teach itself which slice of the airwaves to use before the neighbours even notice static.

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by The Curator
Nvidia And The Mobile Network That Thinks for Itself
Photo by GuerrillaBuzz / Unsplash

Nvidia and a group of telecom and defence partners have unveiled America’s first AI-native wireless stack for 6G, a full software and hardware system that builds machine learning directly into how future networks sense the world, share spectrum and route traffic.

Announced at Nvidia’s GTC event in Washington, D.C., the collaboration includes Booz Allen Hamilton, Cisco, MITRE, ODC and T-Mobile. The team says it built the stack in six months and has already completed a user-to-user phone call.

“6G is being built from the ground up with AI at its core,” said Ronnie Vasishta, Nvidia’s senior vice president for telecom, in a release.

The system combines Nvidia’s AI Aerial platform with software from ODC and Cisco and specialised applications from MITRE and Booz Allen.

Two new apps highlight what an AI-native network could mean beyond faster downloads.

Nvidia and Booz Allen developed a multimodal integrated sensing and communications module to boost spatial awareness for public safety and industrial monitoring, while MITRE created an AI spectrum-agility tool that dynamically reallocates bandwidth to improve efficiency in real time.

The launch extends a 2025 push by Nvidia to seed AI-driven radio access networks.

In March, the company introduced a cloud-based 6G testbed to help researchers experiment with AI-enhanced signal processing. The new stack moves those simulations into live calls and partner trials.

Commercial 6G service is still years away, but vendors are already shaping standards and software.

For Nvidia, embedding its accelerators and toolkits deep in telecom systems strengthens its foothold beyond data centres. For carriers and integrators, the project is a bet that the next generation of wireless will not just be faster—it will learn.

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by The Curator

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