Jing Ji Guan Cha Wang·2025-08-05 09:01Core Insights - The collaboration between Zhongke Shuguang and China Mobile aims to address the inefficiencies in data storage and computing power allocation in the "East Data West Computing" initiative [1][2] - The current investment ratio in computing power versus storage in China is approximately 40:1, compared to around 10:1 in foreign markets, indicating a significant imbalance [1][2] - Shuguang Storage has developed a unified scheduling platform to enhance data flow and management across different data centers, addressing key challenges in data visibility, organization, and utilization [3][4][5] Group 1: Industry Challenges - The primary bottleneck in AI infrastructure is not computing power but rather the foundational data layer, which is often fragmented and incompatible across different systems [3][4] - Data centers face issues such as lack of visibility into data assets, inefficient data flow, and high latency in accessing stored data, particularly in the context of the "East Data West Computing" strategy [4][5] - The rapid growth of AI applications has increased the performance requirements for data storage systems, necessitating advancements in IOPS and bandwidth capabilities [6][12] Group 2: Technological Advancements - Shuguang Storage has transitioned from being a follower to a solution provider in the storage technology space, leveraging over 21 years of R&D to establish a competitive edge [2][10] - The company has achieved global recognition for its centralized storage products, ranking first in the SPC-1 international benchmark for storage performance [2][10] - The development of a unified storage scheduling platform is seen as essential for facilitating data flow across heterogeneous and geographically dispersed data centers [7][8] Group 3: Strategic Collaborations - The partnership with China Mobile was initiated to address specific business needs and to support the national strategy of optimizing resource utilization in the West [7][8] - Shuguang Storage's extensive self-research capabilities position it as a key player in solving complex data flow challenges, which many other vendors struggle to address [8][9] Group 4: Future Outlook - The entry barriers for AI applications are expected to lower with advancements in technology, but new challenges related to privacy and data security will emerge [12][13] - Enhancing GPU resource utilization is critical for reducing AI operational costs, with Shuguang Storage's innovations in data transfer efficiency playing a pivotal role [13][14] - The company's focus on "storage-computing synergy" aims to optimize the interaction between storage systems and GPU resources, significantly improving processing speeds and efficiency [14]