北京铭芯启睿科技有限公司成立于2024年5月，致力于以先进工艺节点阻变存储器（RRAM）为基础，结合存算融合及先进封装技术，解决"内存墙"瓶颈， 面向服务消费、工业与数据中心领域，提供AI高性能"感-存-算"一体化解决方案及定制化存储IP/芯片产品。 经过一年多的快速发展，铭芯启睿在探索高密度存储商业化落地的过程中成果显著。目前，公司已与多家上下游企业建立合作，围绕存储工艺制造技术展开 联合攻关，并深度绑定多家龙头企业客户，共同定义更符合市场需求的优质产品，且已顺利完成产品工程批验证流片。同时，铭芯启睿将加快存算技术产品 的研发，为客户提供更高价值的人工智能存算方案。 来源：猎云网 铭芯启睿联合创始人、董事长刘琦教授表示："未来，我们将持续深耕新型存储与存算技术赛道，聚力创新，以卓越的技术和产品回报信任、服务客户。" 近日，感存算一体化技术产品及解决方案提供商铭芯启睿完成超亿元Pre-A轮融资，本轮融资由国开科创、联想创投领投，中芯聚源、顺禧基金、恒裕投资 跟投，老股东中科创星、小米战投持续加码。 据了解，本轮融资将用于RRAM核心技术研究和人才团队扩充，助力推动RRAM技术产品规模化量产，加速存算技术的落地 ...

Core Viewpoint - Huawei has officially launched the global solicitation for the 2025 Olympus Mons Awards, focusing on addressing challenges in data processing in the AI era, including high computational costs, complex protocol stacks, and increased storage costs [2][8]. Group 1: Olympus Mons Awards Overview - The Olympus Mons Awards, established by Huawei in 2019, aims to drive foundational theoretical research in the global data storage field and accelerate the industrialization of research results [8]. - The total prize pool for this year's awards remains at 3 million yuan, with two Olympus Mons Awards of 1 million yuan each and five Pioneer Awards of 200,000 yuan each [5]. Group 2: Challenges for 2025 - The awards will focus on innovative medium technologies for the AI era, addressing issues such as the increasing cost of processing cold and warm data and the need for new paradigms in storage and computation [3]. - Specific challenges include: - Fusion of storage and computation based on SSDs and efficient indexing technology [3]. - Storage channel modulation coding technology for ultra-high recording density [3]. - Hierarchical large memory network protocols and IO path optimization technology [3]. Group 3: Past Achievements - Since its inception, the awards have attracted over 320 scholars from 12 countries, resulting in 6 Olympus Mons Awards and 18 Pioneer Awards being awarded [8]. - Notable past winners include: - The team led by Professor Wu Yongwei from Tsinghua University, awarded the 2024 Olympus Mons Award for their innovative "storage-based computation" technology [8]. - Teams from Fudan University, Huazhong University of Science and Technology, Peking University, and others received the 2024 Pioneer Awards [8][9].

Core Insights - The focus of global technology competition has shifted from pure computing power to storage, which is essential for supporting AI applications and large models [2][3] - The explosive growth of AI technology is fundamentally changing the underlying logic of storage demand, with global data expected to exceed 200ZB by 2025 and AI training data growing at an annual rate of 67% [2][3] Storage Industry Transformation - AI's rapid development is leading to a significant increase in storage requirements, with enterprises now needing storage systems that can handle tens to hundreds of PBs [3] - The demand for high-performance storage is surging, with AI training bandwidth requirements entering the "TB-level era," and a projected 300% increase in average storage bandwidth needs by 2025 compared to 2023 [3][8] - Traditional storage architectures are facing challenges, including increased data transport costs and inefficiencies, with GPU utilization rates as low as 40% in some cases [5][9] Challenges in the Storage Sector - The separation of storage and computing architectures is causing significant data transport costs, with energy consumption for data movement accounting for over 50% of total system energy [5] - Cost pressures are evident, as all-flash storage, while necessary for AI performance, remains 2.3 times more expensive than HDDs despite a 40% reduction in unit capacity costs by 2025 [5][9] - The complexity of managing diverse data types in the AI era presents significant governance challenges, characterized by the "4V" attributes: volume, variety, value, and velocity [6] Future Directions in Storage - The storage industry is evolving towards a dual focus on high performance and green transformation, driven by AI demands and sustainability requirements [7][9] - Innovations in high-performance storage are shifting from point optimizations to systemic breakthroughs, with full flash storage becoming a necessity and distributed architectures gaining prominence [8] - Green storage initiatives are becoming essential, with data centers aiming for carbon neutrality and significant increases in the use of renewable energy [9][10] Integration of Storage and Computing - The future of data centers is moving towards a model where storage and computing are integrated, addressing the challenges of architecture and efficiency [12] - The development of a hierarchical heterogeneous storage-computing architecture is anticipated, with solutions aimed at enhancing energy efficiency by up to 300 times [12] - Collaborative storage resource networks are being established, with potential cost reductions of 22% and improved computing utilization rates of 18% through regional cooperation [12][13]