直击HAIC 2025：开放架构破“墙”而立 国产AI计算生态协同出击

Core Insights - The HAIC 2025 conference showcased advancements in AI computing, emphasizing a shift from single product displays to a comprehensive presentation of domestic computing capabilities [1] - The industry is transitioning from a "model-driven" approach to an "engineering-driven" one, focusing on overcoming hardware supply limitations and fostering an open architecture for collaboration [2] Group 1: Hardware Innovations - The scaleX万卡超集群 system, introduced by 中科曙光, features 16 super nodes supporting 10,240 AI accelerator cards, achieving over 5 EFLOPS of total computing power and a 20-fold increase in cabinet computing density [3] - The system's design allows for compatibility with multiple brands of accelerator cards and optimizes over 400 mainstream models, indicating a significant leap in domestic AI computing capabilities [3] Group 2: System-Level Breakthroughs - The focus on system-level architecture is crucial for enhancing domestic computing power, with a reported growth rate exceeding 10 times in the past two years [4] - The evolution from single cabinets to万卡集群 represents a systemic engineering innovation, marking a shift in AI computing competition towards system engineering capabilities and software collaboration [4] Group 3: Open Ecosystem Development - The conference highlighted the importance of "open" and "ecosystem" as key themes, addressing challenges in software layers and the need for affordable, efficient computing for SMEs and research institutions [5][6] - The push for an open architecture aims to unify interfaces and standards, reducing the burden of ecological fragmentation and enhancing collaboration across different technologies [6] Group 4: Strategic Collaborations - The event served as a platform for strategic partnerships among companies like 中科曙光 and 商汤集团, focusing on AI computing system optimization and collaborative innovation in various applications [8] - Initiatives such as the "光耀百城2.0" aim to promote scalable solutions in manufacturing, energy, and research sectors, with a focus on lowering barriers for SMEs [8] Group 5: Future Outlook - Experts predict that 2025 will be a pivotal year for domestic AI computing, transitioning from isolated breakthroughs to systemic outputs, with significant advancements expected in 2026 [9] - The conference illustrated the collective efforts of the Chinese AI computing industry to seek openness and overcome bottlenecks, with the万卡集群 becoming a foundational element for large model training [9]