城市从照相机、传感器和操作系统产生大量数据，但将其转化为有益的行动——规划、维护和公共服务——仍然是一项挑战。
物理和代理AI为缩小这一差距提供了新的途径，从基础设施规划数字双胞胎到愿景和服务agents，同时让地方政府控制敏感数据的处理和使用。
在GTC柏林宣布倡议的基础上，NVIDIA及其伙伴正在将实体AI和AIagents扩展至全球城市。 共享计算基础设施使城市部门、邻近城市和地方开发商有一个共同的基础，可以在此基础上更上一层楼——扩大服务，而无需每个组织自行获取和管理资源。
城市事务代理AI
从居民服务到愿景agents，各城市正在采用NVIDIA代理AI，以提供更快，反应更灵敏的公共服务。 NVIDIA RTX工作站或小型GPU系统可能足够。
在西班牙，1Million Bot将巴塞罗那超级计算中心培训的开源 ALIA模型与NVIDIA Nemotron和其他为马德里数字服务(马德里社区)、加泰罗尼亚奥伯塔和150+全西班牙部署的agents模型相结合，处理市政程序、任命申请、城市规划事件和服务调查。
在旧金山湾区，LiveX正用NVIDIA宇宙世界模型和Nemotron开放模型，以及NVIDIA RTX PRO GPU上的Omniversion和Metropolis图书馆，使其AI City的愿景生动。 互动、对话的AI主机了解人们的需求，提供答案和采取行动，并能适应机场、医院、当地活动和其他公共场所的当地语言和服务需求。
AI agents愿景可以将现有的城市摄像头素材转化为业务洞察力，帮助团队识别移动和安全问题，并协调跨城市服务的应急反应。
在波兰的Wrocwaw,K2K正在使用NVIDIA加速计算，NVIDIA宇宙世界推理模型，以及NVIDIA大都会蓝图来进行视频搜索和汇总(VSS)，将现有的相机流转化为可操作的智能，用于移动性，安全性和事件响应——使用跨越多个城市功能的相同基础设施。
在马来西亚，ITMAX将基础设施和代理AI应用捆绑到城市的长期管理服务中，包括交通管理。 参照Cosmos,Nemotron和Metropolis VSS蓝图，ITMAX’s SamurAI V2视觉agents在NVIDIA RTX PR6000 GPU上缩放，到2027年支持17,000+相机。 ITMAX集成了来自拉普拉斯情报公司的开源交通模拟平台TeraSim，测试信号计时，将高峰时段走廊出行时间减少至26%.
利用数字双胞胎计划和运作关键基础设施
除了公共服务外，数字双胞胎还可以帮助城市加快基础设施规划，尽量减少对当地社区的干扰。 城市数码双胞胎也可以作为实时的操作模拟，以方便更快的决策。
在尼日利亚的Dangote的Lekki炼油厂，Honeywell Technologies的Forge工厂Cognition使用尼莫特龙动力的AI agents来了解操作数据。 还计划利用Omniverse图书馆建造一个厂房及其过程的数字双体，以支持模拟和培训。 该平台以Dell PowerEdge服务器为基础，配有NVIDIA RTX PRO加速器，帮助运营商识别瓶颈，预测设备和流程问题，优化工厂性能。
在台湾，Linker Vision和荷兰建筑公司MVRDV正在使用NVIDIA Omniverse和Nemotron来建设环境，社会和治理agents，可以评估各种城市规划情景对环境的影响，在10分钟内模拟一座城市林冠的15年成果——将设计迭代速度从每次迭代两周提高到不到1小时。
构建更广泛的本地AI生态系统
城市可以通过建设已有的基础设施和增加能力，将AI推广到更多的服务。 共享资源和管理服务有助于将这种能力推广到各部门和各市。
在摩洛哥的Tanger Med港，Cires Technologies正在扩建一家主权AI工厂，用于计划用于工人安全、拥堵分析、货物路线和港口业务。 Cires Technologies也在建设应用供应商的生态系统，为港口和城市开发当地模型和应用。
除了城市服务之外，巴塞罗那超级计算中心的AI工厂加速器方案还让创业企业获得主权计算、技术支持和培训。 BSC AI Factory还支持初创企业的研究和创新——涵盖农业，医疗成像，知识获取和语音服务。
了解NVIDIA及其生态系统如何在11月3日至5日在巴塞罗那举行的智能城市博览会世界大会上将物理AI，代理AI和当地AI工厂带到世界各地的城市，会上EMEA Paolo Guglielmini的NVIDIA副主席将发表主旨演讲，然后由NVIDIA智能城市和智能城市空间总监Charbel Aoun主持小组讨论。
本文由 AI图鉴自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
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.
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), Administració Oberta de Catalunya and 150+ deployments across Spain, handling municipal procedures, appointment requests, urban-planning incidents and service inquiries.
In the San Francisco Bay Area, LiveX is bringing its AI City vision to life with NVIDIA Cosmos world models and Nemotron open models, and Omniverse and Metropolis libraries on NVIDIA RTX PRO GPUs. The interactive, conversational AI hosts 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.
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 using NVIDIA accelerated computing, NVIDIA Cosmos world reasoning models, and NVIDIA Metropolis Blueprint for video search and summarization (VSS) to transform 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 for 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 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%.
Plan and Operate Critical Infrastructure With Digital Twins
Beyond public-facing services, digital twins can help cities expedite infrastructure planning, minimizing disruption to local communities. City digital twins can also serve as a real-time operational simulation to facilitate faster decision-making.
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, 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 that can assess the environmental impact of various 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.
Build a Broader Local AI Ecosystem
Cities can extend AI to more services by building on infrastructure already in place and adding capacity. Shared resources and managed services can help extend 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. Cires Technologies is also building an ecosystem of application providers to develop local models and applications for ports and cities.
Beyond city services, Barcelona Supercomputing Center’s AI Factory Accelerator Programme gives startups access to sovereign computing, technical support and training. BSC AI Factory also supports research and innovation for startups — spanning agriculture, medical imaging, knowledge access and speech services.
Learn how NVIDIA and its ecosystem are bringing physical AI, agentic AI and local AI factories to cities worldwide at Smart City Expo World Congress, running Nov. 3-5 in Barcelona, where NVIDIA Vice President of EMEA Paolo Guglielmini will deliver a keynote address followed by a panel moderated by Charbel Aoun, director of smart city and spaces for EMEA at NVIDIA.
Auto-fetched and translated by AI Atlas. All rights belong to the original author.