先进存力赋能AI大模型发展

Core Insights - The "Storage Power China Tour" event in Beijing focused on the role of advanced storage in empowering AI model development in the AI era [1] - The need for seamless integration of model capabilities into various business scenarios is emphasized, highlighting the importance of storage for AI training and inference [1] Group 1: Industry Challenges and Developments - AI applications are facing significant challenges in inference costs, efficiency, and quality, making advanced storage crucial for enhancing AI inference performance and controlling costs [1] - The Ministry of Industry and Information Technology and other departments released an action plan in October 2023, emphasizing the acceleration of storage technology development and the enhancement of storage industry capabilities [1] Group 2: Technological Innovations and Solutions - Huawei's UCM inference memory data management technology aims to address challenges in data management, computational power, and cost reduction for AI inference [2] - Recommendations from industry experts include adapting core inference frameworks to multi-modal models and optimizing existing models to improve cost-effectiveness [2] - Future trends indicate a shift in storage from passive to intelligent computing collaboration, with a focus on high-density all-flash storage and integrated storage-computing technologies [2]