## Low-Power Device AI Agent Deployment Guide

**Target Audience**
This is aimed at developers and hardware enthusiasts who want to run AI agents on embedded devices (such as Raspberry Pi, Jetson Nano) or older PC hardware.

**Core Uses**
This addresses the performance bottleneck of deploying AI Agents in environments with limited computing resources (low GPU memory, weak CPU), enabling lightweight model operation and efficient resource scheduling.

**Key Technical Points**
– **Lightweight Deployment**: Exploring the choice between Quantization techniques and Miniaturized Models (SLMs).
– **Resource Optimization**: Improve response speed through memory management and inference acceleration framework.
– **Scenario Practice**: Transform the AI ​​Agent into a practically operational edge computing node to reduce hardware costs.