Scaling the Edge: Optimizing Real-Time Inference with WebAssembly and Decentralized GPU Clusters
Introduction Edge computing has moved from a niche research topic to a cornerstone of modern digital infrastructure. As billions of devices generate data in real time—think autonomous drones, AR glasses, industrial IoT sensors—the need for instantaneous, on‑device inference has never been more pressing. Traditional cloud‑centric pipelines introduce latency, bandwidth costs, and privacy concerns that simply cannot be tolerated for safety‑critical or latency‑sensitive workloads. Two emerging technologies are converging to address these challenges: ...