Core Viewpoint - The article discusses the launch of China's first AI computing open architecture by Zhongke Shuguang, aimed at addressing the increasing demand for AI computing power and fostering collaboration among industry players to overcome existing challenges in the AI computing sector [1][6]. Group 1: AI Computing Open Architecture - Zhongke Shuguang, in collaboration with over 20 industry chain enterprises, has introduced an AI computing open architecture to promote open collaboration and innovation in the AI computing field [1][6]. - The AI computing open architecture focuses on large-scale intelligent computing scenarios, utilizing GPU-centric designs to enhance system efficiency and collaboration across the AI industry chain [1][3]. Group 2: AI Super Cluster System - The newly launched Shuguang AI Super Cluster System supports multiple brands of accelerator cards and is designed to provide a robust computing foundation for trillion-parameter model training and various AI applications [3][5]. - The system features capabilities such as supporting 96 accelerator cards per cabinet, achieving over 100 petaflops of AI computing power, and allowing for large-scale expansion up to one million cards [5]. Group 3: Technical Innovations and Collaborations - The Shuguang AI Super Cluster has achieved significant performance improvements, including a 2.3 times increase in model training efficiency and a 55% increase in GPU computing efficiency compared to industry standards [5]. - Zhongke Shuguang has announced the opening of key technical capabilities, including AI storage optimization and liquid cooling infrastructure design, to reduce development barriers for small and medium enterprises [5][6].

Core Viewpoint - The launch of China's first AI computing open architecture and AI supercluster system by Zhongke Shuguang and over 20 industry chain enterprises aims to enhance collaborative innovation in AI computing, addressing computing power bottlenecks and promoting accessible computing power [1] Group 1: AI Computing Open Architecture - The AI computing open architecture is designed for large-scale intelligent computing scenarios, focusing on efficient tightly-coupled system design centered around GPUs [1] - The initiative aims to connect AI industry chain enterprises, transitioning from single-point breakthroughs in computing, storage, networking, power, cooling, management, and software to cluster innovation [1] - Zhongke Shuguang has built over 20 large-scale computing clusters in the past decade, deploying more than 500,000 heterogeneous accelerator cards [1] Group 2: AI Supercluster System - The newly launched Shuguang AI supercluster system features four main characteristics: ultra-high performance, ultra-high efficiency, ultra-high reliability, and comprehensive openness [1] - This system is designed to provide a robust computing foundation for trillion-parameter large model training and inference, industry large model fine-tuning, high-throughput inference, and multi-modal large model development [1]