As global tech behemoths scramble to pour money into AI infrastructure, the soaring prices of chips, memory modules, and cables have become the norm. Amid this frenzy, the AI industry is now grappling with an unexpected roadblock: storage hardware has emerged as a pivotal bottleneck hindering the progress of AI models. The operation of cutting-edge AI models, including OpenAI's GPT-5, Google's Gemini Ultra, and Anthropic's Claude, hinges significantly on high-performance storage hardware, especially SSDs and memory units. As AI models advance towards long-context reasoning and multi-agent collaboration, the demands for memory bandwidth, capacity, and SSD I/O throughput capabilities have skyrocketed. These requirements far surpass the capabilities of traditional hardware, positioning storage hardware as a central obstacle in AI deployment. Presently, the storage demands of large-scale AI models are sparking profound shifts in the memory and SSD markets, with prices for high-end memory and SSDs spiraling upwards and the supply-demand gap persisting, presenting a fresh hurdle for the AI industry's growth.