Core Viewpoint - The article discusses the transformative shift in computing paradigms from CPU-centric to memory-centric systems, emphasizing the emergence of "AI memory chips" as a key innovation in enhancing system efficiency and intelligence [1][3]. Group 1: Technological Transition - The transition from storage to "memory power" represents a significant upgrade in technology, redefining the boundaries of advanced memory capabilities [2]. - The company, DeYi Microelectronics, has introduced the concept of "AI memory chips," which aims to implement AI intelligence in memory units, providing valuable computational offloading and data insights for AI systems [1][3]. Group 2: Company Developments - DeYi Microelectronics is one of the few domestic companies with complete independent research and development capabilities for storage control chips, marking a high point in its development history [3]. - The company has successfully integrated its storage control chip products with leading smartphone manufacturers and has made significant breakthroughs in industrial and automotive storage markets, particularly achieving double-digit growth in automotive products [3]. Group 3: AI Integration and Challenges - The rise of AI has shifted the role of storage, where core data now includes model parameters and neural network weights, with GPUs taking precedence over CPUs in storage systems [3][4]. - Current challenges in AI systems include bandwidth bottlenecks and the limitations of existing memory technologies like HBM, necessitating a reevaluation of product strategies [4]. Group 4: AI-MemoryX Innovation - The AI-MemoryX graphics memory expansion card developed by DeYi Microelectronics significantly increases single-machine memory capacity from traditional levels to the terabyte range, enabling the training of large models with fewer GPUs [6]. - This technology not only serves as an expansion card but also as a comprehensive solution for fine-tuning large models, providing extensive technical support for AI applications [6]. Group 5: Future Strategy - The company plans to follow a three-step strategy: leveraging existing chips and software for rapid value creation, embedding software innovations into chips, and promoting the application and ecosystem of AI memory chips [7]. - DeYi Microelectronics aims to redefine the computing paradigm with its AI memory chips, transitioning from passive support of computing power to actively driving it [9].

如今，随着AI向生产生活全链条渗透，算力、存力、网力的需求呈指数级增长。 其中，存力的重要性正在不断凸现出来，事实上，如果说算力是AI的"大脑"，那么存力就是支撑其运 转的"血液系统"。 值得关注的是，AI全生命周期对存力都有显著需求，但不同阶段的要求也有不同侧重点：数据采集阶 段需要高带宽吞吐，清洗阶段依赖低时延响应，训练阶段追求极致能效比，推理阶段则强调成本与可 靠性的平衡。这种多维度、动态化的存储需求，使得传统存储架构面临严峻挑战，行业亟需一场从芯 片底层出发的技术革新。 在这样的背景下， 平头哥半导体的镇岳510 SSD主控芯片，凭借着在架构和算法层面的创新 ，正在 破解存力瓶颈这一AI生态难题。 在MemoryS 2025峰会上，平头哥半导体产品总监周冠锋为观众详细介绍了 镇岳510主控芯片——这 颗通过架构与算法的双重突破，真正成为"六边形战士"的主控芯片 。 镇岳510：六边形战士 什么是六边形战士？他指出，镇岳510在： "低时延" ，可以做到随机写4微秒； "高能效" ，实现每瓦特提供420K IO处理能力； "高带宽" ，达到大于等于3400K IOPS，属于性能第一梯队； "高可靠" ， ...