昇思人工智能框架峰会于杭州召开，正式发布“超节点时代”AI框架新范式

Core Insights - The summit focused on the "HyperParallel" architecture of the MindSpore AI framework, which aims to meet the increasing demands of large models in terms of computing power, storage, and scheduling efficiency [2][4] - MindSpore has become a leading AI open-source community in China, with over 13 million downloads and contributions from more than 52,000 community members [4] Group 1: HyperParallel Architecture - The HyperParallel architecture introduces three core technologies: HyperOffload, HyperMPMD, and HyperShard, enhancing training performance by over 20% and inference sequence length by 70% [4] - HyperMPMD improves computing resource utilization by over 15% and adapts to complex scenarios like reinforcement learning [4] - HyperShard reduces the time for parallel algorithm adaptation to within one day, significantly increasing tuning efficiency from days to hours [4] Group 2: Industry Applications - In the "AI for Science" sector, MindSpore supports the development of intelligent design systems, such as the "Yufeng·Zhiying" for aerodynamic design, which accelerates traditional processes to real-time interaction [5] - In finance, the application of MindSpore has enabled the stable training of large models with billions of parameters, enhancing service efficiency across various scenarios [7] Group 3: Community and Ecosystem - MindSpore promotes a collaborative open-source philosophy, supporting deployment across various platforms and integrating with mainstream ecosystems [8] - The community has established a talent cultivation system in partnership with educational institutions, training over 400 teachers and covering more than 100 universities [8] Group 4: Future Outlook - The company aims to continue developing an AI framework that is friendly to super nodes, integrates seamlessly across scenarios, and is open and agile, facilitating the intelligent transformation of various industries [9][10]