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]