Modern high-speed optical systems—such as hyperspectral imaging, interferometry, and spectroscopy—generate data faster than traditional centralized servers can process, creating massive bandwidth and storage bottlenecks. In a recent article for Vision Systems Design , Red Pitaya CTO Črt Valentinčič explains how shifting from centralized cloud architectures to on-device edge processing (using SoCs and FPGAs) solves these challenges by computing data at the measurement source, enabling real-time feedback, reduced network overhead, and enhanced data security.