Deploying LLM Models on Mobile Devices with Low Power Consumption
This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.
The push to run large language models directly on phones and tablets is driven by three hard requirements: latency, privacy, and offline availability. But the physics of mobile hardware creates a ceiling. NPUs and DSPs on flagship SoCs are powerful, yet thermal design power and battery capacity tur…
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- 2026-09-09 03:33 · DEV Community — AI
Deploying LLM Models on Mobile Devices with Low Power Consumption