黄坚：大规模智算集群的管理与性能调优实践

Investment Rating - The report does not provide a specific investment rating for the industry Core Insights - The report highlights the challenges faced by large-scale intelligent computing clusters, including high coupling between intelligent computing services and underlying computing power, difficulties in fault detection and performance tuning, and the complexity of managing millions of devices [11][20][30] - It discusses operational and management strategies for addressing these challenges, emphasizing practical solutions and real-world applications [4][20][30] - The report presents the Yunxiao intelligent computing platform, which integrates heterogeneous computing, high-speed storage, lossless networking, computing acceleration, and efficient operation capabilities [21][27] - Future prospects for intelligent computing platforms are explored, focusing on the evolution of non-CUDA technology routes and the automation of basic component delivery [30] Summary by Sections Large-Scale Intelligent Computing Clusters - Pain points include high coupling with underlying computing power and complex device management [11][20] - Operational strategies and management solutions are discussed [4][20] Yunxiao Intelligent Computing Platform - The platform offers high-performance computing infrastructure and services for intelligent computing [21][27] - It supports large model training and inference capabilities based on domestic GPU technology [27] Future Outlook - The report anticipates advancements in intelligent computing platforms, including automation and performance optimization [30]