Core Viewpoint - The article emphasizes the critical role of storage solutions in the AI era, highlighting Huawei's launch of AI SSDs as a breakthrough to overcome traditional storage limitations and enhance AI training and inference efficiency [1][10][11]. Group 1: AI SSD Launch and Features - Huawei introduced AI SSDs, specifically the OceanDisk EX/SP/LC series, designed to address the performance and capacity challenges faced by AI workloads [1][4]. - The AI SSDs include performance-oriented and capacity-oriented products, catering to different AI training and inference scenarios [4][5]. - The OceanDisk EX series focuses on low latency and high IOPS, while the OceanDisk LC series offers massive storage capacities of up to 245TB, significantly reducing storage costs for enterprises [7][8]. Group 2: Performance and Efficiency Improvements - The AI SSDs provide a "quantum leap" in performance, with IOPS increasing by over three times and latency reduced to microseconds, effectively transforming data transfer capabilities [7]. - The DiskBooster software enhances memory capacity by 20 times, allowing for the handling of larger models without additional hardware [7][8]. - The efficiency of data preprocessing has improved dramatically, with speeds increasing from 2.1TB/s to 13.8TB/s, representing a 6.6-fold increase [8]. Group 3: Market Impact and Opportunities - The introduction of Huawei's AI SSDs is expected to lower the entry barriers for AI infrastructure, enabling small and medium enterprises to access high-quality AI storage solutions [11][12]. - This innovation is likely to stimulate AI adoption across various industries, such as healthcare and manufacturing, by providing cost-effective and efficient storage options [11][12]. - The shift in focus from "computational strength" to a balanced approach that includes storage capabilities is anticipated to foster a collaborative ecosystem among algorithms, computing power, and storage [13]. Group 4: Long-term Strategic Advantages - Huawei's investment in core technologies, such as software algorithms and collaborative capabilities, is expected to create a competitive moat in the AI storage sector [12]. - The successful integration of storage solutions with AI training and inference processes is likely to drive further innovation and development within the industry [13].