ASUS recently hosted the AI CITY International Forum during the Smart City Summit and Net-Zero City Expo 2026 in Taiwan, introducing its comprehensive vision to the world. The technology leader showcased its full-stack ASUS AI City architecture, designed to seamlessly bridge the gap between sovereign AI infrastructure and sustainable urban governance.
The premier event gathered global stakeholders from industry, government, and academia to explore practical pathways for urban transformation. Through the newly introduced ASUS AI City architecture, the company aims to help municipalities transition from passive data collection into proactive, decision-intelligent systems. This approach marks a significant shift from traditional smart city models, turning isolated technological components into fully integrated, deployable ecosystems.
Redefining Urban Evolution Through Sovereign AI
A central focus of the international gathering was the critical role of sovereign computing in modern municipal governance. As urban centers increasingly rely on artificial intelligence for essential daily operations, maintaining strict control over digital assets has become a priority. Local governments need to ensure security, autonomy, and long-term scalability while integrating advanced technologies.
During the summit, Peter Wu, CEO of ASUS Cloud and Taiwan AI Cloud, highlighted that sovereign artificial intelligence serves as the foundational enabler for these advanced urban environments. He explained that a strategic framework for sovereign computing allows municipalities to innovate while preserving absolute governance over their data and infrastructure.
To provide a structured pathway from initial pilot projects to large-scale deployments, the new architecture features an integrated five-layer framework. This comprehensive blueprint includes:
- Sovereign computing infrastructure
- Local model development
- Platform integration
- Application deployment
- Innovation ecosystems
This local-first approach to computing empowers local governments to meet stringent data governance requirements by utilizing regionally trained models. By keeping sensitive information within jurisdictional boundaries, municipalities can build secure, hybrid environments. These localized systems effectively support critical functions such as public safety, transportation management, and general citizen services without compromising privacy or relying on external cloud processing.
Shifting to Decision-Intelligent Systems
Samson Hu, ASUS Co-CEO and Chairman of the Taiwan Smart City Solutions Alliance, opened the forum by emphasizing that artificial intelligence is fundamentally redefining how local governments operate. He noted that the conversation has moved far beyond simply connecting digital infrastructure or digitizing basic services. Instead, the focus is now on embedding intelligence directly into everyday governance and municipal workflows.
The evolution toward an intelligent urban framework represents a major transformation in how municipalities make decisions and scale their operations. By embracing predictive governance and scalable deployment models, local leaders can create more resilient and globally adaptable environments. This technological shift empowers administrators to stop merely reacting to events and start planning ahead, leading to better resource allocation across transit, health, and energy sectors.
Driving Sustainable City Operations
Beyond advanced computing infrastructure, the forum highlighted how digital intelligence must translate into measurable sustainability. As urbanization accelerates globally, municipalities face compounding climate and resource challenges. Digital infrastructure must now go beyond basic public convenience to directly support critical net-zero environmental goals.
Albert Chang, Corporate Vice President and Co-General Manager of the ASUS AIoT Solution Business Group, addressed the pressing need to overcome fragmented digital systems. Currently, many municipal sensors, dashboards, and operational platforms operate in isolated silos. This fragmentation leads to disconnected data, delayed insights, and a reactive approach where risks are often identified only after failures occur.
A unified data foundation is required to provide real-time visibility and actionable intelligence. By integrating information across energy grids, water systems, public transportation, and building management, municipalities can shift from reactive operations to predictive management. Using both data and artificial intelligence together provides administrators with a steady stream of facts that drive smart actions. This integrated approach enables local governments to proactively reduce carbon emissions, cut pollution, and improve overall resource efficiency.
Real-world deployments in regions like Europe, Japan, and Taiwan have already demonstrated the practical impact of these integrated systems. Successful implementations of safety cameras and transit optimization technologies prove that local governments can effectively address complex urban challenges with the right technological foundation.
A Collaborative Blueprint for Global Deployment
To turn these advanced concepts into deployable realities, ASUS is leveraging a “whole-city export” model. This ambitious strategy integrates resources across the entire corporate group, including Taiwan AI Cloud, Askey, and customized AIoT solutions. A key component of this integration is the Maestro Intelligent Orchestration Platform, which breaks down barriers by enabling seamless connectivity across different brands, devices, and domains.
The forum featured valuable insights from global strategic partners, including Delta Electronics and delegates from various European municipalities. This collaborative ecosystem approach ensures that modular systems can be adopted incrementally by different governments. With support from Taiwan’s robust information and communication technology sector, ASUS is developing scalable systems that provide the adaptability needed to meet diverse global requirements and build resilient urban futures.
