同 时 ， 光 跃 LightSphere X 全 球 首 创 的 分 布 式 光 交 换 （ dOCS ， distributed Optical Circuit Switch）技术则进一步提升了超节点的灵活度和系统可扩展性，从而达到提升系统性价比的目的。 不同于传统的集中式交换，其通过在每个GPU上集成光交换功能，较灵活切换GPU间互连拓扑结 构。这不仅可实现故障场景下的拓扑实时重构，提高大模型训推性能，降低GPU冗余成本，还能按 模型算力需求动态调整超节点规模，切换拓扑网络。此外，分布式设计支持GPU高带宽通讯域弹性 扩展。光跃LightSphere X将实现2千卡规模部署。 得益于多计算芯粒（ Chiplet）与CoWoS 2.5D封装协同设计的GPU模组，光跃LightSphere X拥 有强大算力。该模组基于自主原创架构大算力（单卡1P级）通用GPU液冷模组，极大地增强了集群 训推性能。通过自主研发智算云平台软件灵活配置超节点网络拓扑，支持密集通信和更大TP&EP， 高效适应各种大模型需求，大幅提高节点的可扩展性。OCS UBB采用独创的革新载板设计，超低损 板材多层架构，互联拓扑丰富灵活。该训推 ...

Group 1 - The conference highlighted five major trends in artificial intelligence, including accelerated iteration of foundational large models, a shift in focus towards post-training and inference stages, deep collaboration between hardware and software, the rise of intelligent agents and the intelligent agent economy, the promotion of open-source ecosystems, and increasing demands for AI safety governance [1] - Beijing Economic-Technological Development Area is committed to building a comprehensive AI city, with plans to establish a national AI data training base, the largest public computing power platform in the city, and to implement special policies and funding exceeding 1 billion yuan to support major projects in various AI-related fields [1] - By the end of 2025, the development goals include opening 100 landmark application scenarios, gathering 600 core enterprises, and achieving an industry scale target of 80 billion yuan [1] Group 2 - The AI hardware and software testing and verification center was officially launched, aiming to provide key testing and verification capabilities for AI hardware and software, with four core capabilities established [2] - The center has partnered with major companies to create innovation labs and testing facilities to accelerate the innovation and prosperity of intelligent computing technologies [2] - Five major achievements in AI hardware and software collaborative innovation were announced, showcasing significant breakthroughs across the entire technology chain from foundational computing power to framework software [2] Group 3 - The center completed the first batch of testing and evaluation for the adaptation of large models and domestic hardware and software, with several companies successfully passing the evaluation [3] - The conference awarded certificates to institutions that passed the unified benchmark testing, marking a new stage in the standardized and quantifiable development of AI collaborative innovation ecosystems [3] - The AI safety governance initiative was highlighted, with 18 companies disclosing their safety practices, contributing to the establishment of a solid foundation for responsible AI development [3] Group 4 - The vice president of the China Academy of Information and Communications Technology emphasized the urgent need to address challenges in hardware and software collaboration for building an open intelligent computing ecosystem [4] - The AISHPerf 2.0 benchmark system was officially released, featuring upgrades to support multiple inference engines and domestic open-source model loads, addressing various evaluation needs [4] - The academy has initiated a series of collaborative testing and verification efforts based on AISHPerf, focusing on large model adaptation and key collaborative technologies [4]

Core Viewpoint - The 2025 Green Computing (Artificial Intelligence) Conference emphasizes the importance of cybersecurity as a foundation for the sustainable development of the green computing ecosystem, highlighting the need for a robust security framework to protect sensitive data and ensure efficient utilization of computing resources [1][2]. Group 1: Conference Overview - The conference is hosted by the Hohhot Municipal Government and organized by several institutions, including the China Academy of Information and Communications Technology [2]. - The event features a main opening ceremony, keynote speeches, one thematic activity, and nine specialized meetings [2]. Group 2: Key Insights from Chen Huaping - Chen Huaping, Vice President of Qi Anxin Group, stresses that achieving "zero accidents" in cybersecurity is crucial for the effective use of computing resources [1]. - He describes the computing network as the "nervous system" of the digital society, where the failure of security can lead to widespread impacts across various industries, including data breaches and business interruptions [1]. - Chen identifies three critical areas for security focus: vulnerabilities, insider threats, and cloud environments [1]. Group 3: Recommendations for a Secure Green Computing Ecosystem - Chen proposes a systematic "four management" model to safeguard the green computing ecosystem: 1. Establish an internal security system tailored for large model application scenarios [1]. 2. Develop a "zero trust" system to effectively eliminate insider threats [1]. 3. Create a SASE system that integrates network connectivity, data security, compliance control, and endpoint security [1]. 4. Build a practical "three-level linkage" situational awareness command system for collaboration among computing nodes, data integration, and regulatory authorities [1].

Core Viewpoint - The company is implementing a "diversified computing power" strategy to meet diverse market demands, actively collaborating with domestic AI chip manufacturers to enhance its ecosystem [1] Group 1: Strategic Initiatives - The company has established partnerships with over 20 domestic AI chip manufacturers [1] - The AI Station software platform is compatible with more than 30 domestic AI chips, showcasing the company's commitment to integration [1] Group 2: Ecosystem Development - The company is advancing open computing standards such as OAM, OCM, and liquid-cooled cabinets to accelerate the development of a domestic intelligent computing ecosystem [1] - Continuous efforts are being made to foster collaboration with more domestic AI manufacturers [1]