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Deploying LLMs on IoT Platforms: A Step-by-Step Guide

This story is from 2026-09-24. It is preserved in the archive; the latest stories are on the live feed.

Running large language models directly on typical IoT hardware is usually impractical. A microcontroller with limited RAM cannot load a 70 billion parameter model, and even a Raspberry Pi struggles with inference latency for state-of-the-art reasoning tasks. The practical approach is to treat the L…

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  1. 2026-09-24 17:32 · DEV Community — AI
    Deploying LLMs on IoT Platforms: A Step-by-Step Guide

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