AI & Machine Learning
Choosing Between On-Device and Split Inference: A Practical Guide to Edge AI Optimization
This guide explores the critical decision between fully on-device and split inference for Edge AI deployment, detailing model optimization techniques and architectural patterns. It provides a framework to help practitioners make informed choices based on latency, hardware constraints, and privacy needs.
David Ibrahim·October 15, 2026
