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Counterpoint&美光科技:2025边缘内存:赋能生成式AI的下一前沿领域报告(中译版)(18页).pdf

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1、 Memory At The Edge:Powering GenAIs Next Frontier June 2025 Copyright Counterpoint Research.All rights reserved.ContentsContents Executive Summary.3 Part 1:Future Smartphones Evolution From Communication Hub to Intelligent Agent.4 Market Outlook:Rapid Proliferation Underway.4 Agentic AI:The Core of

2、the Transformation.6 Contextual Awareness:The Engine of Personalization.7 Part 2:The On-Device Imperative and the Hardware Challenge.8 The Case for Edge Intelligence:Why On-Device Matters.8 Escalating Hardware Requirements:A System-Wide Upgrade.9 Part 3:The Memory-Powered Future of Edge AI.11 Unlock

3、ing Performance:The Role of Memory.11 Powering Tomorrows GenAI Smartphones:Next-Generation Memory Solutions.12 Quantization and Small Language Models.14 Conclusion Industry Action and a Call for Collaboration.16 Momentum Builds:Industry Actions and Investments Across the Ecosystem.16 Message to the

4、Industry:Align,Accelerate,Collaborate.16 Executive SummaryExecutive Summary The smartphone is undergoing its most profound transformation yet,evolving from a communication hub into an intelligent,context-aware,and increasingly autonomous agent.Driven by the rapid advancement of generative AI(GenAI),

5、particularly agentic AI capabilities,these devices are shifting from responding to commands to proactively understanding intent and acting on the users behalf.Counterpoint Research defines a GenAI smartphone as one“leveraging large-scale,pre-trained generative AI models to create original content or

6、 perform contextually-aware tasks,”signifying a fundamental change in mobile computing.Market adoption is accelerating dramatically.Counterpoint projects GenAI-capable smartphones will grow from approximately 20%of shipments in 2024 to 45%by 2027,surpassing a billion units in the installed base.This

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本文主要探讨了智能手机正由通信中心转变为智能代理的演变过程,特别是由生成式人工智能(GenAI)驱动的变革。以下是关键点: 1. **市场展望**:GenAI智能手机市场预计将从2024年的20%增长到2027年的45%,并在未来几年内超过10亿部安装基数。 2. **Agentic AI**:文章强调agentic AI是转型的核心,它能主动理解用户意图并自主行动,而不仅仅是响应命令。 3. **硬件挑战**:随着AI模型复杂性的增加,对内存和处理器的要求也在提高。旗舰DRAM容量(12GB+)成为新基准,未来可能需要32GB或更多。 4. **边缘智能的重要性**:文章指出,为了实现agentic AI的承诺,需要在设备上进行大量的计算,从而降低延迟、增强隐私、提高成本效益。 5. **技术发展**:行业正在积极开发LPDDR6、处理内存储(PIM)、Wide I/O等下一代内存解决方案,以支持边缘AI的性能需求。 6. **协作呼吁**:文章呼吁整个行业加强合作,加速标准化进程,共同投资于下一代技术和研究,以实现智能手机的自主智能潜力。 核心数据引用:2024年GenAI智能手机市场份额为20%,预计2027年达到45%,2030年前几乎所有价格段都将采用AI功能。
"智能手机如何变身AI伙伴?" "边缘计算下的内存瓶颈如何突破?" "AI手机时代,硬件革新在何处?"
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