Workflow
AI产业链有何机遇?关注光模块机会

Core Viewpoint - The article discusses the growing importance of the optical module market driven by the demand for AI servers and the evolution of NVIDIA's GPU technology, highlighting the interconnectedness of various components in the computing infrastructure [2][3][5]. Industry Overview - The computing power supply chain involves NVIDIA designing GPUs, TSMC manufacturing them, and various ODMs assembling servers for major cloud providers like Amazon, Google, and Microsoft [2]. - A-share companies have a low participation rate in IC design and manufacturing but hold significant shares in PCB, optical modules, and server ODM segments, which are closely tied to NVIDIA's performance [2]. Optical Module Market - Optical modules are essential for large-scale AI model training and inference, enabling efficient data transmission between GPUs in a cluster [3][5]. - The transition from copper cables to optical transmission is necessary due to the limitations of copper in handling high-frequency signals over long distances, which can lead to signal loss and inefficiencies [5]. Technological Advancements - NVIDIA's GPUs have seen a significant increase in network communication speeds, with the latest models requiring optical modules capable of handling 800G to 1.6T speeds [6]. - The ratio of GPUs to optical modules in a three-layer network setup is approximately 1:3.5, indicating a strong demand for optical modules as GPU deployment increases [6]. Investment Opportunities - Investment in communication ETFs and funds focusing on optical modules and server ODMs is recommended, as these sectors show strong performance and growth potential [7]. - The optical module market is expected to benefit from the increasing volume and technological advancements in NVIDIA's GPUs, leading to a rise in demand for related components [7].