国泰海通｜计算机：国产GPU接连突破，AI算力仍是未来主线

Core Viewpoint - The article emphasizes the ongoing advancements in artificial intelligence (AI) and the significant investments being made in the sector, particularly in GPU technology and AI server capabilities, indicating a strong future growth trajectory for these areas [1][2][3][4]. Group 1: Investment Developments - Nvidia plans to gradually invest up to $100 billion in OpenAI to support data center infrastructure, with an initial deployment of at least 10 gigawatts of systems expected by the second half of 2026 [2]. - The approval of Moore Threads' IPO on the Sci-Tech Innovation Board aims to raise approximately 8 billion yuan for the development of self-controlled AI training and inference chips, as well as graphics chips [3]. - Alibaba Cloud launched the Panjiu 128 super-node AI server, which supports 128 AI computing chips and offers significant improvements in bandwidth and latency, enhancing inference performance by about 50% [4]. Group 2: Market Trends and Future Directions - The investment from major players like Nvidia is expected to extend the global AI infrastructure expansion cycle, increasing demand for high-end GPUs, advanced packaging, and cooling solutions [2]. - The focus of competition in the computing power supply is shifting towards optimizing interconnectivity, with an emphasis on achieving high bandwidth and energy efficiency in system designs [4]. - The commercialization of the MUSA architecture and developer ecosystem by domestic GPU manufacturers is entering a market validation phase, which could accelerate R&D investments and ecosystem development [3].