AI PC 的黎明：實踐中的大規模個人化

在 AIGC（人工智慧和生成內容）進步的推動下，PC 的角色正在不斷演變，以重塑我們使用科技的方式。 PC憑藉其運算能力、效率和安全性，正在成為人工智慧運算和機器學習的合適環境，使大規模和個人化的人工智慧應用成為可能。 目前，AI PC剛開始興起，其發展將取決於硬體創新和軟體進步，這將推動AI運算的未來。

本報告分析了人工智慧PC發展和普及的最新情況、未來發展的方向和要求以及行業利益相關者應採取的策略。

目錄

第1章 AI PC：PC市場新時代的開始

(1) 擴展人工智慧應用可改善 PC 上的訓練和推理工作負載

（2）AI嵌入式應用程式設定為使用者提供更多價值

第2章品牌趨勢與策略分析

（一）定義AI PC的硬體架構：NPU為前提

（2）AI PC策略規劃：依品牌劃分

第 3 章 TRI 的觀點

（1）AI PC賦能大規模個人化應用，成為端點AI運算平台

（2）透過軟體定義生態：相容性、易用性和價格仍然是AI PC落地的關鍵

Driven by advancements in AI and Generative Content (AIGC), the role of PCs is evolving to reshape how we use technology. PCs that offer a blend of computational power, efficiency, and security are becoming the preferred environment for AI computations and machine learning, enabling personalized AI applications on a large scale. At present, AI PCs are just beginning to emerge, with their development hinging on both hardware innovation and software advancements to propel the future of AI computing forward.

Table of Contents

1. AI PCs: The Dawn of a New Era in the PC Market

(1) Scaling AI Applications Boosts PC Training and Inference Workload

(2) AI-Embedded Applications Set to Deliver Increased Value to Users

2. Analysis of Brand Dynamics and Strategies

(1) Hardware Architecture Defines AI PCs, NPU Becomes a Prerequisite

(2) Strategic Planning for AI PCs by Brand

3.TRI's View

(1) AI PCs to Enable Large-Scale Personalized Applications and Serve as the Platform of Endpoint AI Computing

(2) Software Defines the Ecosystem: Compatibility, Usability, and Price Remain Key to AI PC Adoption