NVIDIA Expands Physical and Agentic AI for Cities From Madrid to Malaysia

Agents for resident services and city cameras

NVIDIA says cities generate large amounts of data from cameras, sensors and operational systems, but turning it into action for planning, maintenance and public services remains difficult. The company argues that physical and agentic AI can close that gap while local governments stay in control of how sensitive data is processed and used.

NVIDIA also says city teams do not need a massive infrastructure investment to start. Depending on the workload, NVIDIA RTX workstations or a small GPU system may be enough.

• Spain: 1MillionBot combines open source ALIA models trained at the Barcelona Supercomputing Center with NVIDIA Nemotron and other models in resident-service agents. They serve 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.
• San Francisco Bay Area: LiveX is building its AI City with NVIDIA Cosmos world models, Nemotron open models, and Omniverse and Metropolis libraries on NVIDIA RTX PRO GPUs. The conversational AI hosts can be tailored to local languages and service needs in airports, hospitals, local events and other public spaces.

Vision AI for mobility, safety and traffic

Vision AI agents can turn existing city camera feeds into operational insights, helping teams identify mobility and safety issues and coordinate emergency responses across city services.

In Wrocław, Poland, K2K is building shared AI infrastructure with NVIDIA accelerated computing, Cosmos world reasoning models and the NVIDIA Metropolis Blueprint for video search and summarization (VSS). The goal is to turn existing 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. Its SamurAI V2 vision agents, built with reference to Cosmos, Nemotron and the Metropolis VSS 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. According to the post, this reduces peak-hour corridor travel times by up to 26%.

Digital twins for infrastructure and planning

NVIDIA says digital twins can help cities speed up infrastructure planning and minimize disruption to local communities, and can also serve as real-time operational simulations 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 with Omniverse libraries, is planned to support simulation and training. The platform runs on Dell PowerEdge servers with NVIDIA RTX PRO accelerators and helps 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. These assess the environmental impact of urban planning scenarios, simulating 15-year outcomes of an urban forest canopy in 10 minutes. NVIDIA says this raises design iteration speed from two weeks per iteration to less than an hour.

Building a local AI ecosystem

NVIDIA says cities can extend AI to more services by building on infrastructure already in place and adding capacity, with shared resources and managed services spreading those capabilities across departments and municipalities.

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. The company is also building an ecosystem of application providers to develop local models and applications for ports and cities.

In Barcelona, 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 is presenting the work at Smart City Expo World Congress, running Nov. 3-5 in Barcelona. NVIDIA Vice President of EMEA Paolo Guglielmini will give a keynote, followed by a panel moderated by Charbel Aoun, director of smart city and spaces for EMEA at NVIDIA.

What it means for cities

The examples show a pattern in how NVIDIA is pitching city AI: start small on workstations or modest GPU systems, reuse existing camera and data infrastructure, and share capacity across departments and neighboring municipalities. For local governments, the appeal described in the post is faster services and planning without every organization building its own computing stack, and with control over sensitive data staying local. The results cited, such as the travel-time reduction in Malaysia and faster design iteration in Taiwan, are figures reported by NVIDIA and its partners.