At The Edge, Solving For Thermal And Power Efficiency is Just As Critical as Managing Bandwidth and Latency
RCRWireless News, Friday, August 29th, 2025
At the edge, solving for thermal and power efficiency is just as critical as managing bandwidth and latency
AI at the edge is helping telecom operators enhance network reliability, optimize performance, and detect threats in real-time. These use cases require powerful compute, often in locations where traditional data center infrastructure can't reach, such as cell towers, rooftops, and remote sites.
Containerized edge systems offer a flexible alternative, delivering local processing in compact, self-contained units. According to Gartner, in 2025, around 75% of enterprise data will be generated and processed at the edge, up from 10% in 2018, illustrating the rising scale and importance of edge AI deployments.