NVIDIA expands AI services for cities through shared infrastructure and digital twins

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NVIDIA expands AI for cities

Highlights

NVIDIA and partners are rolling out shared AI infrastructure in cities worldwide, enabling departments and developers to build services while retaining control over local data.
ITMAX is deploying SamurAI V2 vision agents on NVIDIA RTX PRO 6000 GPUs across Malaysia to support over 17,000 cameras by 2027, aiming to cut traffic corridor travel times by up to 26%.
Digital twins powered by NVIDIA Omniverse are being adopted for infrastructure planning, with Dangote's Lekki refinery and Taiwan’s Linker Vision reporting sharply accelerated simulation and optimization capabilities.

City AI deployments broaden across public services

As reported by NVIDIA Newsroom, NVIDIA and its partners are extending physical AI and agentic AI projects for cities worldwide, using shared computing infrastructure so departments, neighboring municipalities and local developers can build services on a common base.

The company says cities are adopting agentic AI for resident services, vision systems and operational support, with deployments that can begin on NVIDIA RTX workstations or small GPU systems depending on the workload. The approach is aimed at letting public agencies keep control over how sensitive local data is processed and used.

In Spain, 1MillionBot combines open source ALIA models trained at the Barcelona Supercomputing Center with NVIDIA Nemotron and other models in resident-service agents used by Madrid Digital, Administració Oberta de Catalunya and more than 150 deployments across the country. These systems handle municipal procedures, appointment requests, urban-planning incidents and service inquiries.

In the San Francisco Bay Area, LiveX is using NVIDIA Cosmos world models, Nemotron open models, and Omniverse and Metropolis libraries on NVIDIA RTX PRO GPUs for interactive AI hosts in airports, hospitals, local events and other public spaces. In Wrocław, Poland, K2K is building shared AI infrastructure for mobility, safety and event response by turning camera streams into operational intelligence.

In Malaysia, ITMAX is packaging infrastructure and agentic AI applications into long-term managed services for cities, including traffic management. Its SamurAI V2 vision agents are scaling on NVIDIA RTX PRO 6000 GPUs to support more than 17,000 cameras by 2027, while integration with Laplace Intelligence's TeraSim platform is intended to cut peak-hour corridor travel times by up to 26% through signal-timing tests.

Digital twins support infrastructure planning and local AI ecosystems

Beyond public-facing services, NVIDIA is positioning digital twins as a tool for faster infrastructure planning and real-time operational simulation, which can help cities reduce disruption and improve decision-making on complex assets.

At Dangote's Lekki refinery in Nigeria, Honeywell Technologies' Forge Plant Cognition uses Nemotron-powered AI agents to interpret operational data, while a digital twin built with Omniverse libraries is planned for simulation and training. The platform runs on Dell PowerEdge servers with NVIDIA RTX PRO accelerators and 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 for urban planning analysis. NVIDIA says the system can simulate 15-year urban forest canopy outcomes in 10 minutes, cutting design iteration time from two weeks to less than an hour.

Cities are also using these systems to widen local AI capacity. At Morocco's Tanger Med port, Cires Technologies is expanding a sovereign AI factory for applications including worker safety, congestion analysis, cargo routing and port operations, while Barcelona Supercomputing Center's AI Factory Accelerator Programme gives startups access to sovereign computing, technical support and training across sectors such as agriculture, medical imaging, knowledge access and speech services.

In our earlier article on Malaysia’s call to strengthen its fiscal buffers after Budget 2027, we outlined warnings that recurring global shocks and a prolonged high-rate environment could tighten the government’s policy space. We also noted that with operating expenditure taking up most spending, Malaysia may need measures such as broadening the tax base and refining targeted fuel subsidies to preserve flexibility while meeting rising commitments.

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