昇思MindSpore开源五年下载量超1300万，AI框架进入“超节点时代”

Core Insights - The conference focused on the theme "MindSpore for Super Nodes," highlighting the innovation in super node technology and the introduction of the HyperParallel architecture to accelerate new model structures and training paradigms in AI frameworks [2][3] Group 1: MindSpore Framework - MindSpore aims to create an AI framework that is super node-friendly, fully integrated across various scenarios, open in architecture, and agile in enabling technology [2] - Since its open-source launch on March 28, 2020, MindSpore has seen over 13 million downloads, covering 156 countries and regions, with more than 120,000 merge requests and over 52,000 community contributors [2] - MindSpore supports over 25 large model series, has 2000+ community partners, and has facilitated over 3100 industry application practices, contributing to nearly 2500 academic papers, ranking first in China and second globally among AI frameworks [2] Group 2: Super Node Technology - The rapid development of AI large model technology is leading to models with long sequences and sparse structures, transitioning AI infrastructure from the "server cluster era" to the "super node era" [3] - The HyperParallel architecture treats super nodes as a "supercomputer" for programming and scheduling, leveraging its advantages to achieve features like HyperShard declarative parallel programming and HyperMPMD heterogeneous irregular parallelism [3] - The framework enhances resource utilization, which is crucial for training large models and practical AI applications, improving task scheduling efficiency compared to other AI frameworks [4]