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Day0迁移、一键部署,昇思MindSpore打造昇腾的“咖啡伴侣”
21世纪经济报道·2025-06-12 10:17

Core Viewpoint - The article emphasizes the rapid development of large models and the need for efficient migration and deployment solutions in the AI ecosystem, highlighting the capabilities of MindSpore in facilitating these processes for developers [1][2]. Group 1: Migration Capabilities - MindSpore supports Day0 migration for training, enabling seamless cross-framework "intelligent translation" capabilities, allowing zero-code migration of mainstream models with a performance improvement of over 5% in distributed training scenarios [3][4]. - The framework utilizes dynamic graph compilation optimization, enhancing single-card training efficiency by 40%, and implements distributed intelligent tuning to overcome training bottlenecks, achieving a linearity breakthrough of 96% [4]. Group 2: Deployment Efficiency - MindSpore enables one-click deployment for inference, allowing model services to be launched in minutes, with support for direct loading of Hugging Face weights without format conversion [5]. - The deployment process is optimized, reducing weight loading time by 80% for models with hundreds of billions of parameters, and achieving millisecond-level graph compilation delays [5]. Group 3: Open Source Ecosystem - Since its inception in March 2020, MindSpore has developed a robust open-source ecosystem, with over 50 mainstream large models and 12 million downloads, engaging over 46,000 developers across 130 countries [7][8]. - The company promotes community governance through a dual-driven model of a council and SIG groups, providing free computing resources and knowledge sharing opportunities for developers [8].