在端云协同成为智能终端发展主流方向的当下，大模型服务正从传统的云上访问模式，向原机预装演 进。一方面，语音助手、AI搜索等应用对响应速度要求极高；另一方面，智能终端设备存储的大量敏 感数据，也亟需可靠的安全保障。安全，已然成为构筑优质智能体验的核心基石。 6月11日，在2025火 山引擎FORCE春季原动力大会上，联想集团执行副总裁兼中国区总裁刘军发表视频演讲，首度透露与 火山引擎针对安全领域联合打造的联想"可信计算方案"，他表示该方案在为用户带来更极致体验的同 时，有效确保了用户数据在端、云之间传输和处理过程中的绝对安全，做到智能无忧，安全无虑，让用 户像信任自己一样信任AI。这是联想与火山引擎发挥各自领域技术优势的一次全新尝试，对混合式AI 安全架构的搭建具有里程碑的意义。 联想×火山引擎：共建"安全无感"的可信个人云方案 联想个人云解决方案基于火山引擎 Jeddak AICC机密计算平台打造，该方案是国内 PC 领域首个可信计 算方案，以强大的开放性和软硬适配能力、卓越的性能与强大的安全性，为用户带来前所未有的"安全 无感"智能体验。 火山引擎：为智能终端打造安全可信的 AI 服务 火山引擎不仅助力联想 ...

Core Viewpoint - The article emphasizes that the industrialization of large models is becoming a reality, significantly impacting various sectors and driving the digital transformation of industries [3][4][6]. Group 1: Industrialization of Large Models - The large model trend is accelerating, with significant integration into industries such as finance, automotive, technology, and education [3][5][12]. - By 2024, the usage of large models in China's public cloud reached 114.2 trillion tokens, indicating a shift from early exploration to large-scale implementation [5]. - Major cloud service providers collectively acted in early 2024 to lower the barriers for enterprises to deploy large models, enhancing accessibility [5][10]. Group 2: Trends in Large Model Implementation - Three key trends in the implementation of large models have emerged: 1. Deepening scenarios where value is released from office efficiency to core industry processes [6]. 2. Companies transitioning from passive innovation to actively seeking deployment points based on clear business pain points [7]. 3. Strengthening ecosystem collaboration, with cloud providers becoming crucial enablers for the deployment of large models [9][10]. Group 3: Sector-Specific Applications - In finance, large models are enabling ordinary investors to make more informed investment decisions through tools like the GuoXin Stock Assistant, which utilizes large model capabilities for market analysis [13][15]. - The automotive industry is diversifying its applications of large models, with companies like SAIC Volkswagen and BMW implementing AI-driven solutions for enhanced user interaction and marketing [16][19][20]. - In education, institutions like Nankai University and Zhejiang University are leveraging large models to improve teaching efficiency and research capabilities [21][22][24]. Group 4: Challenges and Future Outlook - The large model landscape faces challenges such as balancing model capability with security and efficiency, high operational costs, and integration difficulties into existing business systems [33][34][35]. - The article predicts that the B-end AI Agent market in China could grow to 171.8 billion yuan by 2025, indicating a long-term trend towards the integration of AI in business operations [41]. - The future of large models is expected to evolve into a fundamental infrastructure for enterprises, with cloud providers playing a key role in facilitating this transition [42].