半导体芯闻·2025-12-25 10:20Core Viewpoint - The first HAIC2025 conference highlighted the challenges and innovations in AI computing architecture, emphasizing the need for collaboration and system-level solutions to meet the demands of large model training [2][4][13]. Group 1: AI Computing Challenges - The rapid evolution of large model technology has created unprecedented demands on computing equipment, particularly in memory capacity, bandwidth, energy efficiency, and system stability [2]. - The slowdown of Moore's Law has made it increasingly difficult for single-node solutions to meet the computational needs of AI, necessitating a shift towards system-level engineering [4][11]. - Companies are focusing on creating tightly integrated systems that can handle the complexities of AI applications, including the need for high-speed data transfer and energy efficiency [8][12]. Group 2: Innovations and Strategies - The introduction of the "Dual-Core Strategy" by Haiguang aims to enhance AI product diversity and deepen ecosystem connections within China, focusing on customized and application-specific solutions [5][6]. - The launch of the scaleX640 super node, which features advanced cooling and power supply technologies, represents a significant advancement in AI computing infrastructure, achieving a power usage effectiveness (PUE) of 1.04 [11][12]. - The scaleX super cluster, capable of deploying over 10,240 AI accelerator cards, showcases a total computing power exceeding 5 EFlops, marking a milestone in domestic AI cluster systems [11][12]. Group 3: Future Directions - The collaboration between Haiguang and Zhongke Shuguang aims to build a robust AI ecosystem by sharing technology and creating open standards for AI software stacks, which could lead to a "Chinese version of CUDA" [13][14]. - The focus on developing high-performance, reliable networks and systems is crucial for supporting the growing demands of AI applications and ensuring long-term operational reliability [13][14]. - The ongoing efforts in the AI sector reflect a commitment to overcoming international competition and establishing a prominent position for China's AI capabilities on the global stage [14].