Latest / The Edge Computing Podcast with Fexingo: Local Compute, CDNs, and Distributed Infrastructure
Why Edge Computing Matters for AI Inference at the Edge
Episode 28 of The Edge Computing Podcast with Fexingo dives into one of the hottest topics in distributed infrastructure: running AI inference on edge devices rather than in the cloud. Lucas and Luna explore a concrete case from a manufacturing plant that deployed computer-vision models on local edge servers to detect defects in real time — cutting inference latency from 200 milliseconds to under 10 milliseconds and reducing cloud bandwidth costs by 60 percent. They break down the hardware choices (NVIDIA Jetson vs. Intel Movidius), the software stack (TensorFlow Lite vs. ONNX Runtime), and…
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