Cities generate enormous amounts of data from cameras, sensors and operational systems, but turning it into useful action — for planning, maintenance and public services — remains a challenge.

Physical and agentic AI offer new ways to close that gap, from digital twins for infrastructure planning to vision and service agents, while keeping local governments in control of how sensitive data is processed and used.

Building on initiatives announced at GTC Berlin, NVIDIA and its partners are expanding physical AI and AI agents to cities worldwide. Shared computing infrastructure gives city departments, neighboring municipalities and local developers a common foundation to build on — extending services without each organization having to acquire and manage resources of their own.

From resident services to vision agents, cities are adopting NVIDIA agentic AI to deliver faster, more responsive public services. City teams don’t need a massive infrastructure investment to get started building these AI services: depending on the workload, NVIDIA RTX workstations or a small GPU system may be enough.

In Spain, 1MillionBot combines open source ALIA models trained at the Barcelona Supercomputing Center with NVIDIA Nemotron and other models in resident-service agents for Madrid Digital (Comunidad de Madrid), Administració Oberta de Catalunya and 150+ deployments across Spain, handling municipal procedures, appointment requests, urban-planning incidents and service inquiries.

In the San Francisco Bay Area , LiveX is bringing its AI City vision to life with NVIDIA Cosmos world models and Nemotron open models, and Omniverse and Metropolis libraries on NVIDIA RTX PRO GPUs.

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