Deepseek带动算力需求井喷，算力调度平台成最优解

Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The demand for computing power in China is rapidly increasing, driven by AI large models, leading to accelerated development of large-scale, high-performance computing centers [10][11] - The profitability of computing power scheduling centers heavily relies on government subsidies, which are designed to ensure local resource utilization and risk control [10][22] - The core value of computing power scheduling platforms lies in their ability to efficiently integrate and schedule heterogeneous computing resources, significantly improving resource utilization and reducing costs for users [17][20] Summary by Sections 1. Rapid Growth of Computing Power Demand - The demand for intelligent computing power is experiencing unprecedented growth, particularly in the application of large models, which account for nearly 60% of the demand [14][16] - By 2028, the overall demand for intelligent computing power in China is expected to exceed 20,000 MW, with a compound annual growth rate (CAGR) of 68.97% [16] 2. Value of Computing Power Scheduling Platforms - These platforms enhance resource utilization, lower user costs, and simplify management processes, providing efficient and economical computing power services [17][20] - The platforms must possess advanced technical capabilities, including resource virtualization, fine-grained slicing, real-time monitoring, and tidal scheduling to achieve low-cost and efficient utilization of resources [31][38] 3. Government Subsidies as Core Source - The success of computing power scheduling centers is closely tied to government subsidies, which aim to ensure local resource utilization and mitigate risks [22][30] - Companies must strategically engage early in government decision-making processes to influence outcomes and align their proposals with government economic and social goals [23][24] 4. Technical Features of Quality Scheduling Platforms - Essential technical capabilities include fine-grained resource slicing, heterogeneous compatibility, cross-regional scheduling, real-time monitoring, and dynamic adjustment [31][38] - These features enable efficient reuse of computing resources and low-cost monetization [38] 5. Core of Scale for Computing Power Centers - The scale of value realization for computing power platforms is fundamentally based on a large and diverse customer base, which influences profitability and pricing potential [39][42] - High-value, stable demand from large customers is a primary target for platforms, facilitating efficient service delivery [42]