SCS(SH:601555) 智通财经网·2026-01-28 07:13Core Insights - The transition from dialogue models to action-oriented agents is reshaping the division of labor between CPUs and GPUs, with a structural differentiation in computing power demand as AI moves towards agent-based applications [1][2] - The execution control flow is becoming CPU-centric, as agent actions involve numerous conditional statements and system calls, making CPUs more suitable for branching tasks compared to GPUs [1][2] - The memory architecture is shifting away from GPUs, as long-context reasoning in agent scenarios generates large KV caches that quickly exhaust GPU memory, while CPUs with large memory capacities are becoming the preferred architecture [1][3] Industry Developments - Major cloud service providers (CSPs) like AWS and Google Cloud are accelerating the development of sandbox environments for agents, enhancing software-level isolation and orchestration capabilities [3] - CPU manufacturers are evolving towards ultra-multicore architectures driven by agent demands, with AMD's Turin reaching up to 192 cores and Intel's Sierra Forest potentially offering up to 288 cores [3] - NVIDIA is increasing the importance of CPUs in its new architectures, indicating a recognition of the need for large-memory CPUs to support extensive KV caches in high-concurrency agent scenarios [3] Investment Recommendations - The company is optimistic about HaiGuang Information and Lanqi Technology, as the former benefits from the elevation of CPU's role in high-concurrency execution driven by agentic AI, while the latter benefits from the synergy of memory and computing power in long-context scenarios [4] - Attention is also recommended for Longxin Technology and Wantong Development (Shudu Technology) due to their potential in this evolving landscape [4]