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Scaling LLM on Edge Devices: A Comprehensive Guide

This story is from 2026-09-12. It is preserved in the archive; the latest stories are on the live feed.

Deploying large language models on edge devices forces a fundamental tradeoff between local autonomy and model capability. Edge hardware, whether ARM-based industrial gateways, NVIDIA Jetson modules, or mobile SoCs, operates under strict memory, thermal, and power budgets. A 70 billion parameter mo…

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  1. 2026-09-12 21:33 · DEV Community — AI
    Scaling LLM on Edge Devices: A Comprehensive Guide

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