EE Times analysis highlights photonics—optical switching, interconnects, and co-processors—as critical infrastructure for next-generation AI systems facing electrical power and latency bottlenecks. Leading chipmakers are investing in photonic packaging and integration to sustain compute scaling beyond conventional silicon limits.
Photonic interconnects reduce power-per-operation and latency in high-bandwidth compute clusters, addressing growing demand from training runs and large-scale inference. As electrical data-center busses saturate, photonics offers chipmakers a path to maintain performance scaling for AI workloads.