Group 1: Core Insights - The current technological revolution and industrial transformation are deeply evolving, with artificial intelligence (AI) empowering industrial development across various dimensions, accelerating the intelligent, integrated, and green transformation of industries, and promoting significant adjustments in global supply chains [1] - China possesses rich application scenarios, a vast market, and a large talent pool, establishing a solid foundation for AI development, which has led to a complete industrial system covering foundational, framework, model, and application layers [2] - AI is fundamentally transforming production methods by breaking the boundaries between virtual and real, enabling rapid discovery of new materials, and enhancing manufacturing processes through large-scale applications [2][3] Group 2: Industry Applications and Innovations - The report from the China Academy of Information and Communications Technology emphasizes the need for intelligent upgrades across the entire manufacturing process, focusing on standardization and gradual penetration into core areas like design and production [3] - The government supports the widespread application of large models and the development of smart connected vehicles, AI smartphones, and intelligent manufacturing equipment, with predictions indicating a 4% growth in China's smart terminal market by 2025 [4] - Companies are innovating in AI applications, with Lenovo reporting over 20% growth in revenue and profit in its China division, driven by AI PCs, and ZTE launching the first full-size foldable phone with embedded AI capabilities [4][6] Group 3: Challenges and Recommendations - The current lack of established standards for AI terminals leads to difficulties in hardware-software compatibility and quality inconsistencies, raising concerns about data security and privacy [6] - Experts suggest building new industry standards for intelligent terminals, enhancing software and hardware security, and developing a regulatory framework to address data safety and privacy issues [6] - The integration of AI with traditional manufacturing is seen as a key driver for transitioning from production-oriented to service-oriented manufacturing, with a focus on deep learning frameworks and industry-specific models [7][8]

聚焦AI生态共建，铺平智能化转型道路， 共绘AI普惠蓝图。 联想AI工作站营销总经理陆远、英伟达半导体架构师宋毅明、联想"擎天"AI技术中心高级总监顾旭光、联想创投高级投资总监叶帅民、 联想政企业务AI PC总经理万扬 等行业专家，及来自各个领域企业代表齐聚现场。 联想AI工作站营销总经理陆远 介绍了联想依托全栈AI战略构建的"端边云网智"布局：端侧以"天禧个人智能体系统"为核心打造AIPC产品；云端通过"万全 异构智算平台"覆盖服务器、存储、数据网络等方面；服务端则以"擎天"智能IT引擎提供行业智能体解决方案。陆远强调，联想算力产品矩阵丰富，端侧覆 盖多档位算力需求，联想AI工作站可支持从7B-70B大模型的AI推理应用，凭借英伟达Ada系列GPU实现2小时快速部署，"静"享AI算力。联想AI工作站能够 满足企业在大模型私有化部署时的三大需求：保障企业数据安全，快速验证投入产出，快速搭建环境及保障资产安全。 在生态合作方面，陆远介绍到，联想为生态伙伴提供三种合作模式：搭载联想算力底座、通过联合品牌模式获联想营销资源支持以及以联想品牌整合产品纳 入核心销售体系。 英伟达半导体专业可视化团队架构师宋毅明 分享了 ...