Core Viewpoint - The article emphasizes the transformative impact of AI on computing architecture and the increasing demand for heterogeneous computing power, particularly in the context of Arm technology's role in supporting this evolution [2][5][10]. Group 1: AI and Computing Evolution - The emergence of AI, particularly following the introduction of ChatGPT, has significantly increased the demand for computing power across various sectors, including AI cloud, automotive, robotics, and consumer electronics [2][4]. - AI is reshaping societal infrastructure and lifestyles, necessitating a shift in computing architecture from centralized to distributed systems [4][5]. Group 2: Arm Technology and Market Position - Arm technology has seen a rapid expansion in the smart computing sector, with over 310 billion chips shipped and a growing ecosystem of over 22 million software developers [7]. - By 2025, it is projected that nearly 50% of the computing power shipped to major cloud service providers will be based on Arm architecture, highlighting its increasing relevance in the cloud computing market [7]. Group 3: Self-Research and Product Development - The company is focusing on self-research and innovation, developing a comprehensive product matrix in key areas such as AI, CPU, information security, and multimedia processing [10]. - The self-developed products have achieved significant milestones, with over 230 clients and more than 9.5 billion chips shipped based on these innovations [10][11]. Group 4: Future Innovations - The company is set to unveil a new generation of AI acceleration engines, which will enhance computing power, precision, flexibility, and energy efficiency, supporting various mainstream large models [11].

近日，全球知名的芯片设计公司 ARM 宣布了一项重大战略调整：放弃沿用多年的 Cortex 品牌，并对产 品线进行全面重组，采用全新的产品命名体系。这一决策不仅标志着 ARM 在业务布局上的重大转变， 也反映了其对未来市场竞争态势的深刻洞察。同时，ARM 也对新兴的 RISC-V 架构表达了担忧，认为 其可能对自身业务构成潜在威胁。 ARM 的 Cortex 品牌在半导体行业中拥有极高的知名度，自推出以来，Cortex 系列处理器被广泛应用于 从智能手机到物联网设备等众多领域，为 ARM 奠定了在芯片设计领域的领先地位。然而，随着市场的 快速变化和技术的不断演进，ARM 决定告别这一经典品牌。根据 ARM 发布的官方声明，新的命名体 系将更加简洁明了，有助于客户和合作伙伴更清晰地理解其产品定位和性能特点。通过产品线的重新梳 理，ARM 旨在更好地满足不同市场细分领域的需求，提升自身在全球芯片市场的竞争力。 在新的产品命名体系中，ARM 将运算子系统（Compute Subsystems，CSS）按照不同的应用领域进行了 重新命名。例如，面向基础设施市场的产品被命名为 Arm Neoverse，突出了其在高性能 ...

半导体产业正处在前所未有之大变局时刻：一方面，摩尔定律渐趋极限；另一方面，人工智能的爆 发式增长对计算架构带来全新的机遇与挑战。面对这一趋势，Arm 于近期发布《芯片新思维：人 工智能时代的新根基》行业报告，该报告汇集了构建AI时代芯片设计新范式的洞察，涵盖算力、 能效、安全、可扩展性等核心议题，勾勒出未来智能计算的底层路线图。 在该报告中，Arm与业界专家分享了诸多关键趋势： AI计算底层逻辑发生质变 过去四十年，芯片技术经历了从早期的超大规模集成电路 (VLSI) 和极大规模集成电路 (ULSI) 设 计、移动芯片组的发展，到移动系统级芯片 (SoC) 的广泛应用，再到如今的 AI 优化的定制芯片 如果您希望可以时常见面，欢迎标星收藏哦~ 通过摩尔定律实现半导体缩放的传统方法已达到物理与经济的极限。产业正转向创新的替代 方案，如定制芯片、计算子系统 (CSS) 以及芯粒 (chiplets)，以持续提升性能与能效。 随着 AI 工作负载对计算密集型任务的需求日益增加，能效已成为 AI 计算发展的首要考量。 芯片设计正在整合优化的内存层次结构、先进的封装技术，以及成熟的电源管理技术，以降 低能源消耗，同时维 ...