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Edge AI's Real Bottleneck Isn't the Model, It's the Update Channel

TL;DR — On-device small language models solve the latency and privacy problems of cloud inference, but they trade them for a distribution problem: shipping, versioning, monitoring, and rolling back weights across a fleet of devices you can't SSH into. Most ML teams have no playbook for this because…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-11-03 14:16 · DEV Community — Machine Learning
    Edge AI's Real Bottleneck Isn't the Model, It's the Update Channel

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