Core Insights - The integration of artificial intelligence (AI) technology into various sectors is driving the need for efficient data aggregation, circulation, and utilization, which is becoming a key factor in global AI competition [1][3] - Huawei's president of data storage product line, Zhou Yuefeng, emphasized the necessity of building advanced data infrastructure through layered approaches to address the bottlenecks in AI development [1][4] Data Growth and Infrastructure Needs - According to the National Data Bureau, China's data output is expected to exceed 41.06 ZB in 2024, representing a year-on-year growth of 25%, which raises the demand for enhanced data infrastructure [1] - The need for a robust data foundation is highlighted by the requirement to break down data silos at the city level, create shared platforms at the industry level, and establish unified AI data lakes at the enterprise level [3] Storage Technology and AI Efficiency - Storage technology is transitioning from a background role to a forefront position in the AI ecosystem, with innovations like Huawei's UCM inference memory data manager, which reduces AI service response latency by 30% and computing costs by 25% in financial sector trials [3][4] - The analogy of AI reasoning to human thinking underscores the importance of quickly accessing historical memory to enhance efficiency [3] Collaborative Ecosystem and Strategic Infrastructure - Huawei is positioned as the leading storage provider in China and the second globally, focusing on open technology to foster ecosystem collaboration [4] - The company advocates for storage technology to be recognized as a strategic infrastructure for AI, promoting collaborative innovation among government, enterprises, academia, and research institutions to accelerate the implementation of advanced data infrastructure [4] Competitive Landscape in AI - The current phase of AI development is characterized as a "deep water zone," where the efficient use of data elements is crucial for breakthroughs [4] - Huawei's proposed layered construction path and storage technology innovations offer practical solutions for the industry, potentially redefining the competitive rules in the AI era through an open ecosystem strategy [4]

Group 1 - The 2025 China Computing Power Conference was held in Datong, Shanxi, focusing on accelerating towards an intelligent world through advanced solutions in connectivity, computing, storage, and digital energy [1][6] - Huawei's Vice President Zhou Yuefeng emphasized the importance of data aggregation, circulation, and value release for cities, industries, and enterprises to transition from a data powerhouse to a data strong nation, seizing opportunities in the AI era [1][3] Group 2 - China has become a global data powerhouse with an annual data output exceeding 40ZB, but the effective data retention rate is only 2.8%, indicating a significant amount of data is discarded at the source [3][4] - The construction of advanced data infrastructure is crucial, with a focus on creating trusted data management centers and efficient data circulation to transform data resources into valuable assets [3][4] Group 3 - At the industry level, the establishment of high-quality industry-specific data repositories is essential for AI model effectiveness, encouraging leading enterprises to build collaborative data-sharing platforms [4][5] - For enterprises, the development of AI data lakes is necessary to facilitate collaboration among multiple intelligent agents, enhancing the precision and real-time knowledge of applications [5][6] Group 4 - Huawei proposed the RAS concept for AI data center construction, focusing on reliability, agility, and sustainability to address the challenges of increasing computing power demands [6] - The company aims to strengthen core competitiveness and industry ecology by showcasing collaborative development in computing, storage, and green energy supply [6]