AI workloads demand a complete redesign of network architecture, shifting away from asymmetric, cacheable traffic patterns. Because AI is always-on, symmetric, and non-cacheable, traditional network optimization strategies are obsolete, forcing organizations to build high-performance, distributed infrastructure to maintain ROI.
Topics: AI infrastructure, Network architecture, Distributed computing, Data centers