# NVIDIA — Cities Worldwide Build and Scale AI Services With NVIDIA Physical and Agentic AI

- Company: NVIDIA (nvidia.com)
- Announced: 2026-11-03T07:00:12+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://blogs.nvidia.com/blog/cities-physical-agentic-ai-applications/
- Record: https://forck.live/items/30892-cities-worldwide-build-and-scale-ai-services-with-nvidia-physical-and-agentic-ai
- Subject: AI platform
- Models affected: Nemotron, Cosmos

NVIDIA and its partners are expanding physical AI and AI agents to cities worldwide, building on initiatives announced at GTC Berlin. Cities generate enormous data from cameras, sensors and operational systems, but turning it into useful action for planning, maintenance and public services remains a challenge. Shared computing infrastructure gives city departments, neighboring municipalities and local developers a common foundation, so services can extend without each organization acquiring and managing its own resources. In Spain, 1MillionBot combines open source ALIA models trained at the Barcelona Supercomputing Center with NVIDIA Nemotron in resident-service agents for Madrid Digital and Administració Oberta de Catalunya, across 150+ deployments. In Malaysia, ITMAX's SamurAI V2 vision agents are scaling on NVIDIA RTX PRO 6000 GPUs to support 17,000+ cameras by 2027, and its TeraSim integration reduces peak-hour corridor travel times by up to 26%. In Taiwan, Linker Vision and MVRDV use Omniverse and Nemotron to simulate 15-year outcomes of an urban forest canopy in 10 minutes, cutting design iteration from two weeks to less than an hour. At Morocco's Tanger Med port, Cires Technologies is expanding a sovereign AI factory for worker safety, congestion analysis, cargo routing and port operations.

## Evidence

Verbatim from https://blogs.nvidia.com/blog/cities-physical-agentic-ai-applications/:

> 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.
> 
> Agentic AI for Cities
> 
> 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.

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