Cities generate enormous amounts of data from cameras, sensors and operational systems, NVIDIA says — but turning that data into useful action, for planning, maintenance and public services, remains a challenge. Physical and agentic AI are the company’s answer to that gap: digital twins for infrastructure planning, and vision and service agents for day-to-day operations. The announcement, published as a company blog post on November 3, 2026, builds on initiatives announced at GTC Berlin and is being showcased at Smart City Expo World Congress in Barcelona, running November 3–5. A second account of the announcement confirms the same projects, places and figures.

The through-line is shared infrastructure. Instead of each city department, neighbouring municipality or local developer acquiring and managing its own computing resources, NVIDIA says, they build on a common foundation and extend services from it. City teams do not need a massive infrastructure investment to start, the company says: depending on the workload, an NVIDIA RTX workstation or a small GPU system may be enough.

Resident services, from Madrid to the Bay Area

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) and Administració Oberta de Catalunya, across more than 150 deployments across Spain. The agents handle municipal procedures, appointment requests, urban-planning incidents and service inquiries — the paperwork side of city government, answered rather than queued.

In the San Francisco Bay Area, LiveX is bringing its AI City vision to life with NVIDIA Cosmos world models and Nemotron open models, plus Omniverse and Metropolis libraries on NVIDIA RTX PRO GPUs. The interactive, conversational AI hosts are designed to understand people’s needs, provide answers and take action, and can be tailored to local languages and service needs in airports, hospitals, local events and other public spaces.

A conversational AI host kiosk in a busy airport terminal (illustration)
A conversational AI host in a public venue, as described in NVIDIA’s city AI announcement. Illustration: AI Frontier Post.

Cameras become operational intelligence

Vision AI agents turn existing city camera feeds into operational insights, NVIDIA says, helping teams identify mobility and safety issues and coordinate emergency responses across city services. In Wrocław, Poland, K2K is building shared AI infrastructure using NVIDIA accelerated computing, Cosmos world reasoning models and the Metropolis Blueprint for video search and summarization (VSS), transforming camera streams into actionable intelligence for mobility, safety and event response — using the same infrastructure across several city functions.

In Malaysia, ITMAX bundles infrastructure and agentic AI applications into long-term managed services for cities, including traffic management. Built with reference to Cosmos, Nemotron and the Metropolis VSS blueprint, ITMAX’s SamurAI V2 vision agents are scaling on NVIDIA RTX PRO 6000 GPUs to support more than 17,000 cameras by 2027. ITMAX integrates TeraSim, an open-source traffic simulation platform from Laplace Intelligence, to test signal timing — reducing peak-hour corridor travel times by up to 26%, according to NVIDIA.

A city traffic operations centre with camera feeds and a digital twin display (illustration)
Vision agents turning camera feeds into operational intelligence. Illustration: AI Frontier Post.

Digital twins for planning and plant operations

Beyond public-facing services, digital twins can help cities expedite infrastructure planning and minimise disruption, NVIDIA says, and serve as a real-time operational simulation for faster decisions. At Dangote’s Lekki refinery in Nigeria, Honeywell Technologies’ Forge Plant Cognition uses Nemotron-powered AI agents to understand operational data. A digital twin of the plant and its processes, built using Omniverse libraries, is also planned to support simulation and training. The platform, built on Dell PowerEdge servers with NVIDIA RTX PRO accelerators, is intended to help operators identify bottlenecks, anticipate equipment and process issues, and optimize plant performance.

In Taiwan, Linker Vision and Dutch architecture firm MVRDV are using NVIDIA Omniverse and Nemotron to build environmental, social and governance agents that assess the environmental impact of urban planning scenarios, simulating 15-year outcomes of an urban forest canopy in 10 minutes — increasing design iteration speed from two weeks per iteration to less than an hour, NVIDIA says. The example shows the other side of the city pitch: not just running today’s services, but testing tomorrow’s plans before anything is built.

Shared foundations, local control

At Morocco’s Tanger Med port, Cires Technologies is expanding a sovereign AI factory for planned applications in worker safety, congestion analysis, cargo routing and port operations, and building an ecosystem of application providers to develop local models and applications for ports and cities. The Barcelona Supercomputing Center’s AI Factory Accelerator Programme, meanwhile, gives startups access to sovereign computing, technical support and training, and supports research and innovation spanning agriculture, medical imaging, knowledge access and speech services.

NVIDIA will present the projects at Smart City Expo World Congress, where Paolo Guglielmini, the company’s Vice President of EMEA, delivers a keynote, followed by a panel moderated by Charbel Aoun, director of smart city and spaces for EMEA at NVIDIA.

What to watch

Read the announcement for what it is: a company blog post collecting partner projects, with NVIDIA’s and its partners’ figures and no independent results or pricing. Some of what it describes is deployed — the Spanish resident-service agents, the Malaysian camera rollout in progress — and some is planned, including the Lekki digital twin and the Tanger Med applications. That distinction matters, because the claim at the centre of the post is an infrastructure claim, not a single product launch: that one shared foundation can serve resident services, planning and operations across departments and municipalities, while local governments retain control over sensitive data. Whether that foundation expands, and who is clearly responsible when an AI-driven action goes wrong, is the test the projects now have to pass in public.

Frequently asked questions

What did NVIDIA announce on November 3, 2026?

NVIDIA said it and its partners are expanding physical AI and AI agents to cities worldwide, building on initiatives announced at GTC Berlin. The projects combine shared computing infrastructure, agentic AI for resident services and vision, and digital twins, while keeping local governments in control of how sensitive data is processed and used.

Which city projects did NVIDIA name?

Resident-service agents from 1MillionBot across 150+ deployments in Spain, and LiveX conversational AI hosts in the San Francisco Bay Area; vision agents from K2K in Wrocław, Poland, and ITMAX in Malaysia, scaling toward 17,000+ cameras by 2027; a Nemotron-powered Honeywell system at Dangote’s Lekki refinery in Nigeria and Linker Vision urban-planning agents in Taiwan; and a sovereign AI factory expansion at Tanger Med port in Morocco.

Are all of these systems already running?

No. NVIDIA’s blog mixes deployments with plans: the Lekki digital twin is planned, and the Tanger Med applications are described as planned. The figures in the announcement are NVIDIA’s and its partners’ claims, and the blog includes no independent results or pricing — so the test is whether the shared infrastructure expands across departments and municipalities while preserving local data control.