Cities Worldwide Build and Scale AI Services With NVIDIA Physical and Agentic AI
Cities are deploying AI agents and digital twins to improve public services, infrastructure planning and operational efficiency using shared computing infrastructure and NVIDIA technologies.
Cities face challenges turning vast data from sensors and systems into actionable insights for planning, maintenance and public services. Physical and agentic AI, including digital twins and vision agents, offer new ways to process this data while keeping local governments in control of sensitive information. Shared computing infrastructure allows city departments and neighboring municipalities to collaborate without each organization needing to build or manage separate resources.
In Spain, 1MillionBot uses open-source ALIA models trained at the Barcelona Supercomputing Center with NVIDIA Nemotron to power resident-service agents for Madrid Digital, Administració Oberta de Catalunya and over 150 deployments across Spain. These agents handle municipal procedures, appointment requests, urban-planning incidents and service inquiries, demonstrating how AI can streamline citizen interactions and administrative workflows.
In the San Francisco Bay Area, LiveX is deploying AI City vision agents using NVIDIA Cosmos world models and Nemotron open models on NVIDIA RTX PRO GPUs. These conversational AI systems understand local needs, provide answers and take action in airports, hospitals and public spaces, while vision AI agents analyze city camera feeds to identify mobility and safety issues and coordinate emergency responses.
In Wrocław, Poland, K2K is building shared AI infrastructure using NVIDIA accelerated computing, Cosmos world reasoning models and Metropolis Blueprint for video search and summarization. The system transforms existing camera streams into actionable intelligence for mobility, safety and event response, enabling multiple city functions to operate from a single infrastructure foundation.