智通财经网·2025-09-30 02:58Group 1 - The report from Dongfang Securities highlights that process technology upgrades drive chip performance improvements, while advanced packaging serves as another key driver for performance enhancement [1] - In the context of slowing process technology upgrades, increasing the die area can enhance transistor count and computing power, with Nvidia's H100 die area nearing the reticle limit of approximately 800-900 mm² [1] - Nvidia's B200 adopts advanced packaging with dual die integration, achieving 208 billion transistors in a single package, which is more than double the 80 billion transistors in the H100 [1] Group 2 - System assembly is emerging as a new driver for AI server performance enhancement, as wafer manufacturing and advanced packaging may not keep pace with the growing demand for AI computing power [2] - The number of GPUs in AI servers is expected to increase significantly, from 8 GPUs per server to 72 GPUs per cabinet, and potentially to 144 GPUs in the VR Ultra NVL576 cabinet by 2027 [2] - The increase in GPU count raises challenges in heat dissipation and system assembly complexity, with industry leaders likely to benefit from the elevated barriers to entry and improved competitive environment [2] Group 3 - In terms of investment targets, companies related to AI server system assembly are maintained, including Industrial Fulian, which has optimized GB200 series product testing and reduced system-level cabinet debugging time [3] - Industrial Fulian is expanding capacity globally and has introduced fully automated assembly lines, expecting strong growth in GB200 shipments, primarily driven by large North American cloud service providers [3] - Haiguang Information's merger with Zhongke Shuguang is anticipated to create vertical integration capabilities encompassing CPU, DCU, and system assembly [4] Group 4 - Lenovo is expected to launch various servers based on Blackwell Ultra starting in the second half of 2025, as indicated by Nvidia [4] - Huaqin Technology, a core ODM supplier for domestic internet companies' AI servers, is set to benefit from the capital expenditure expansion of downstream cloud companies [4]