On-Device LLM Inference: The Tradeoffs Nobody Puts on the Spec Sheet
TL;DR Running a language model on a device, a tablet, a handset, an edge box, is not just the cloud without the network. It is a different budget. Memory is fixed, precision is a lever, latency includes a cold start, and there is no autoscaler to hide your mistakes. This post walks through the trad…
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- 2026-10-12 10:36 · DEV Community — Machine Learning
On-Device LLM Inference: The Tradeoffs Nobody Puts on the Spec Sheet