Core Insights - The "Storage Power China Tour" was launched in Guangdong, focusing on the core value of the storage industry in the data factorization wave and exploring new paths for high-quality development in storage [1][3] Group 1: Industry Trends and Developments - The global digital economy is rapidly evolving, with artificial intelligence driving a new wave of industrial transformation. Data has become a fundamental strategic resource, and storage is increasingly recognized as a core foundation for ensuring efficient allocation and security of data elements [5] - The total storage capacity in China is projected to reach 1580EB by the end of 2024, with advanced storage accounting for 28% of this capacity [5] - The Ministry of Industry and Information Technology has emphasized the integration of "computing power, storage power, and operational power" in the development of new infrastructure [6] Group 2: Strategic Recommendations - Recommendations include exploring optimal paths and sharing best practices, focusing on inclusive storage services and efficiency improvements, and strengthening technological breakthroughs and industrial collaboration [5] - The importance of innovation-driven strategies and building a self-controllable industrial ecosystem was highlighted to address international competition and security challenges [6] Group 3: Technological Innovations - Huawei's storage solutions are positioned as a core component of new data infrastructure, emphasizing four dimensions: scale aggregation, efficient governance, secure supply, and industrial application [6] - The company has developed a comprehensive product matrix covering core production systems, AI training and inference, distributed storage, and data protection [9] Group 4: Practical Applications and Case Studies - Experts shared practical experiences in storage empowerment for industries, including the use of distributed storage systems in healthcare to ensure data security and support AI model training [8] - Guangdian Wuzhou Technology Co., Ltd. focuses on domestic and differentiated development in storage technology, achieving advanced storage infrastructure in various projects [8]

Core Insights - The article emphasizes the critical role of data storage capacity, referred to as "存力" (storage power), in the context of the exponential growth of data driven by advancements in artificial intelligence (AI) technology [1][8] - It highlights the dual importance of computing power ("算力") and storage power as essential components for unlocking the value of data and fostering new infrastructure development [1][8] Industry Overview - The global data volume is expected to grow at an annual rate of 36%, reaching Yottabyte (YB) scale by 2030, necessitating efficient and secure data storage solutions [1] - The Chinese government has recognized the significance of storage power, with initiatives like the "算力基础设施高质量发展行动计划" aimed at enhancing the quality of computing and storage infrastructure [1][8] Company Insights - Guangzhou Huayin Kang Medical Group (华银康集团) is a leading independent medical testing and diagnostic service provider in China, focusing on pathology services [2] - The company has developed a comprehensive "AI + system + equipment + resources" service model, integrating advanced AI technologies to enhance diagnostic capabilities [5][7] Challenges and Solutions - Huayin Kang faces significant challenges in data storage, with an annual testing volume of approximately 40 million samples, each pathology image requiring nearly 1GB of storage [7] - The company has implemented a distributed storage system and advanced compression techniques to manage storage demands, although it still requires annual capacity expansions in the Petabyte (PB) range [7][8] Future Trends - The article discusses the evolving landscape of data storage, where traditional storage methods are becoming inadequate due to the increasing complexity and volume of data generated by AI applications [9][11] - It suggests that the establishment of storage centers will be crucial for integrating data across various sectors, enhancing data governance, and facilitating the development of new industries and job roles [12][15]