NVIDIA transforms telecom networks into distributed AI grids for real-time edge agents

Apr 16, 2026 · Updated Apr 25, 2026

NVIDIA introduced the Metropolis VSS 3 Blueprint to enable AI agents to reason over video data from the edge to the cloud. This architecture runs on AI-RAN (Radio Access Network) infrastructure, which converts traditional cell sites into a distributed compute layer for processing real-time 5G data streams.

This move addresses the bandwidth and latency bottlenecks of centralized cloud AI. By processing video search and summarization locally at the network edge, these agents can analyze footage up to 100 times faster than manual review. It creates a physical AI grid for autonomous city operations and infrastructure inspection.

You can use the blueprint to build and customize video analytics agents that perform live monitoring or safety checks. The system is designed for deployment on AI-RAN-ready infrastructure, developed in partnership with carriers like T-Mobile. The blueprint is currently available through the NVIDIA AI platform for developers.

View the full update on nvidianews.nvidia.com

NVIDIA AI

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Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze real-time data streams from connected sensors over 5G to power live monitoring and infrastructure inspection. ▶️ Watch the full video to learn more: https://t.co/1o6buULVt6

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