PALO ALTO, Calif. and TAIPEI, Feb. 9, 2026 /PRNewswire/ — Zettabyte and LiteOn have announced a research and development collaboration aimed at evaluating a distributed edge AI inferencing platform known as the Ultra Edge Pod. This initiative will deploy specialized Mobile Edge Compute (MEC) AI inferencing platforms at cell towers, tower-adjacent facilities, and other network-proximate infrastructure, facilitating a significant reduction in latency for AI workloads.
The initial deployment focuses on the Edge AI Deployment, which aims to bring AI inference workloads closer to end users. This is particularly beneficial for countries lacking mature data center infrastructure, as it will help enhance digital and AI readiness for both citizens and enterprises. Under the terms of this collaboration, LiteOn will provide essential power, cooling, and physical infrastructure, while Zettabyte is responsible for delivering the software layer that manages GPU scheduling, orchestration, observability, and remote operations. This approach will enable MEC by harnessing the collective computing power of all connected cell towers.
The deployment is designed to showcase how integrated infrastructure and software can deliver reliable, cost-effective, and low-latency AI inference in highly distributed environments. These environments often exhibit real-world challenges related to power, thermal, and operational constraints, particularly in telecom-adjacent sites.
“This deployment allows both teams to validate a practical and scalable model for edge AI deployment, emphasizing repeatability, resilience, and operational efficiency through a clear separation of infrastructure and software responsibilities,” stated Kenneth Tai, chairman of Zettabyte.
The intended Edge AI Deployment will support low-latency, location-aware AI inference workloads, operating closer to mobile users, radio access networks, and data sources. This initiative seeks to validate the feasibility of operating GPU-based AI computing within distributed, power-and-space constrained telecommunications scenarios, including those managed by tower companies and telecom providers.
Jason Tsao, Associate Vice President and Head of Direct Current Microgrid at LiteOn, emphasized the company’s strengths in power systems and thermal management. “LiteOn’s experience positions the company to support emerging edge AI use cases through disciplined, deployment-driven collaboration,” he remarked.
Zettabyte is recognized as a global provider of AI infrastructure software, specializing in GPU scheduling, orchestration, and operations for distributed and heterogeneous compute environments. Meanwhile, Lite-On Technology Corp [2301.TW] is a technology company known for its specialization in power systems, thermal management, and infrastructure solutions tailored for telecom, industrial, and data center-adjacent deployments.
The collaboration marks a significant step toward advancing the capabilities of edge AI, particularly in environments that demand low-latency processing and efficient resource utilization. As the landscape for AI continues to evolve, such partnerships underscore the importance of leveraging local infrastructure to meet the growing demands for real-time data processing and analysis.
As more telecom operators and service providers navigate the complexities of digital transformation, solutions like the Ultra Edge Pod could become pivotal in enhancing service delivery and operational efficiency. The deployment’s success may signal a broader trend toward decentralized computing paradigms, reshaping how AI is integrated into everyday telecommunications infrastructure.
For more information about Zettabyte, visit Zettabyte. To learn more about LiteOn, visit LiteOn Technology Corp.
See also
Perplexity Launches Model Council to Compare AI Responses Across Three Models
Supreme Court Justices Urge Law Students to Prioritize AI Ethics at Moot Court Competition
Nvidia Sees 62% Revenue Surge as AI Hardware Demand Soars, CEO Reports Record Sales
Germany”s National Team Prepares for World Cup Qualifiers with Disco Atmosphere
