Series3~15 min
Edge AI deployment
On-device inference and model compression: quantization, TFLite, and realtime streams.
Learning path
Follow in order to see the bigger picture
- 01EP · 01 · STARTMay 21, 2026Edge AI Deployment, Part 1: Model Compression and On-Device InferenceCloud AI is powerful, but latency, privacy, and cost make it a poor fit for real-time devices. This …
- 02EP · 02May 22, 2026[Part 2] Make Your Edge AI Models This Lightweight: A Practical Optimization Guide from Quantization to DeploymentHitting performance bottlenecks when moving AI models from the cloud to edge devices? This guide cov…
- 03EP · 03May 22, 2026The Heart of Edge AI: A Guide to Building Data Pipelines for Real-Time Stream Data (Part 3)Edge AI model performance is decided at the data preprocessing stage. This guide presents a concrete…