Edge AI Economics: When Edge Beats Cloud

Edge AI — deploying AI inference on devices proximate to data sources — is crossing an economic tipping point. This article develops a rigorous TCO framework for evaluating when edge deployment dominates cloud, identifying the structural cost drivers: bandwidth egress, latency penalties, and compliance costs. For high-volume, low-latency, or data-sovereign workloads, edge AI can deliver 30–80% cost reductions over a five-year horizon....

Read full article: https://hub.stabilarity.com/?p=1051

Published by Stabilarity Research Hub