Behind the rapid advancement of AI and its implementation through associated models lies a critical challenge: The physical infrastructure required to power, cool, connect, and maintain next-generation computing systems. From hyperscale data centers and advanced semiconductor manufacturing to grid modernization, power generation, cooling technologies, and workforce development, AI infrastructure is reshaping multiple sectors simultaneously.

One of the most significant constraints facing the industry is energy availability and distribution. This has created growing demand for power generation systems, renewable energy integration, transformers, turbines, high-voltage equipment, and advanced thermal management solutions. At the same time, continued expansion in semiconductor fabrication, memory systems, networking hardware, and construction of hyperscale facilities is creating major opportunities across the supply chain.

This symposium will bring together industry leaders, technology developers, infrastructure providers, manufacturers, utilities, construction firms, and academic stakeholders to discuss the evolving needs of the AI infrastructure ecosystem with the aim of identifying emerging technology gaps, infrastructure bottlenecks, and scalable solutions needed to support the next generation of AI deployment worldwide.

Submit Early Bird Abstract - Due October 16

Please first review the information for authors — abstract submission guidelines.

Select Topic / Application AreaAI power systems and grid infrastructureData center cooling and thermal managementDigital infrastructureIntegration of photonics technologies to boost bandwidth/conserve energy (e.g. SiPh, Co-packaged optics, optical switches)Workforce developmentOtherGo