Core Viewpoint - The article emphasizes the critical role of storage systems in supporting large-scale AI models, highlighting the need for high-quality and reliable storage solutions to prevent data supply interruptions that could hinder computational capabilities [2][4]. Group 1: Storage Demand and Supply Gap - China's data production is growing rapidly, with annual data output expected to increase from 32.85 ZB in 2023 to 41.06 ZB in 2024, a growth rate of 25%, while data storage capacity is only projected to rise from 1.73 ZB to 2.09 ZB, at a growth rate of 20.81%, indicating a significant storage gap [3]. - The demand for intelligent computing power is primarily driven by the training, inference, and development of large models, necessitating a comprehensive capability that integrates computing power, storage, and network capacity [3]. Group 2: Technological Solutions - The Zhenyue 510 SSD controller is positioned as a solution to address the storage bottleneck, providing a high-performance storage option that supports the efficient operation of large-scale computing clusters [4][5]. - The Zhenyue 510 features ultra-low latency of 4μs, over 340 million IOPS in random read performance, and 14GB/s sequential read bandwidth, ensuring uninterrupted data supply to GPUs [8][12]. Group 3: Collaboration and Investment - Alibaba has committed over 380 billion yuan to build cloud computing and AI hardware infrastructure over the next three years, with more than 100 billion yuan already invested in AI infrastructure and product development in the past four quarters [6][7]. - The collaboration between PingTouGe and Alibaba Cloud aims to explore ZNS+QLC storage solutions, enhancing the performance and cost-effectiveness of storage systems for AI applications [12][13]. Group 4: Market Position and Future Development - The Zhenyue 510 is positioned among the top-tier storage controller chips, with a focus on balancing performance and cost, making it suitable for AI model training and other high-demand applications [9][15]. - Future developments will continue to focus on creating next-generation SSD controller chips with improved performance, capacity, and reliability to meet the increasing demands of AI computing [18].