The Pulse
NVIDIA Spotlights AI Services in Cities Worldwide
NVIDIA’s city-services roundup highlights AI agents, camera analysis and digital twins used by partners in Spain, Poland, Malaysia and Taiwan. One Taiwan urban-planning project simulates 15-year forest-canopy outcomes in 10 minutes.
AI.info Team · Written with AI · fact-checked ·
A Taiwan urban-planning project simulates 15-year outcomes for an urban forest canopy in 10 minutes, with design iterations shrinking from two weeks to less than an hour. NVIDIA published its city-services roundup on Nov. 2, describing projects that use AI agents, camera analysis and digital twins. The company says the applications address local needs while keeping local governments in control of how sensitive data is processed and used.
Urban-planning scenarios in Taiwan
Linker Vision and Dutch architecture firm MVRDV are using NVIDIA Omniverse and Nemotron to build environmental, social and governance agents. The agents assess environmental impacts across urban-planning scenarios, including the effects of an urban forest canopy. NVIDIA describes the project as part of a broader use of digital twins for infrastructure planning and operational simulation.
For cities, the examples extend beyond planning software: NVIDIA says shared computing infrastructure can give city departments, neighboring municipalities and local developers a common foundation. Its post says that arrangement lets organizations extend services without each having to acquire and manage their own resources. The company also says a city team may be able to start building AI services with an RTX workstation or a small GPU system, depending on the workload.
Resident services and public-space agents
In Spain, 1MillionBot combines open-source ALIA models trained at the Barcelona Supercomputing Center with NVIDIA Nemotron and other models. The resident-service agents serve Madrid Digital, Administració Oberta de Catalunya and more than 150 deployments across Spain. They handle municipal procedures, appointment requests, urban-planning incidents and service inquiries.
In the San Francisco Bay Area, LiveX is developing its AI City project with NVIDIA Cosmos world models, Nemotron open models, and Omniverse and Metropolis libraries on NVIDIA RTX PRO GPUs. Its conversational AI hosts answer people’s questions and take action, and can be tailored to local languages and service needs. The listed settings include airports, hospitals, local events and other public spaces.
Camera feeds become operational data
NVIDIA says vision AI agents can turn existing city camera feeds into operational insights for mobility and safety issues, as well as emergency-response coordination. 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. The project uses existing camera streams to support mobility, safety and event response across several city functions.
In Malaysia, ITMAX offers infrastructure and agentic AI applications as long-term managed services, including traffic management. Its SamurAI V2 vision agents, built with reference to Cosmos, Nemotron and the Metropolis video-search blueprint, are scaling on NVIDIA RTX PRO 6000 GPUs to support 17,000+ cameras by 2027. ITMAX also integrates TeraSim, an open-source traffic simulation platform from Laplace Intelligence, to test signal timing; NVIDIA says that can reduce peak-hour corridor travel times by up to 26%.
Digital twins for plants and infrastructure
At Dangote’s Lekki refinery in Nigeria, Honeywell Technologies’ Forge Plant Cognition uses Nemotron-powered AI agents to interpret operational data. A digital twin of the plant and its processes, built with Omniverse libraries, is planned to support simulation and training. The platform runs on Dell PowerEdge servers with NVIDIA RTX PRO accelerators.
NVIDIA says the system helps operators identify bottlenecks, anticipate equipment and process issues, and optimize plant performance. The company describes digital twins as useful for infrastructure planning and as real-time operational simulations that can support faster decisions. Its examples therefore include both a planned refinery twin and city-planning scenarios.
Local computing and startup support
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. Cires is also building an ecosystem of application providers to develop local models and applications for ports and cities. The post presents the port project as part of a wider effort to extend AI services through shared resources and managed services.
The Barcelona Supercomputing Center’s AI Factory Accelerator Programme gives startups access to sovereign computing, technical support and training. BSC AI Factory also supports startup research and innovation in agriculture, medical imaging, knowledge access and speech services. NVIDIA’s post was published ahead of Smart City Expo World Congress, which it says runs Nov. 3-5 in Barcelona.