英博数科与神州光大强强联合，共推AI算力服务生态升级

Core Insights - A strategic cooperation agreement has been signed between Yingbo Shuke and Shenzhou Guangda to enhance GPU high-end computing power, AI industry application innovation, and domestic computing power development [1] Group 1: Computing Power Infrastructure - The collaboration aims to establish a stable and reliable computing power infrastructure, which is essential for industry innovation and upgrading [3] - Shenzhou Guangda will provide technical support to Yingbo Shuke, enhancing the stability and resource utilization efficiency of computing clusters [3] - A comprehensive service system will be developed, including preventive inspections, rapid response, professional repairs, and spare parts support to ensure a high-availability computing environment [3] Group 2: AI Integration and Industry Empowerment - The partnership will promote the deep integration of AI technology with the real economy, targeting sectors such as finance, manufacturing, and healthcare [4] - Joint development of integrated hardware and software solutions based on large models will assist enterprises in achieving intelligent transformation [4] - A regular technical exchange mechanism will be established to explore AI development trends and foster innovation [4] Group 3: Domestic Computing Power Development - The collaboration will leverage shared advantages in domestic hardware, software adaptation, and industry resources to advance domestic computing power technology and ecosystem construction [5] - This initiative aims to enhance the market competitiveness of domestic computing power and establish a solid foundation for a mature industry ecosystem [6] Group 4: AI Talent Development - The cooperation extends to AI talent cultivation, exploring pathways for collaboration in training programs [6] - Joint laboratories and established AI training courses will be utilized to promote industry-education integration [6] - Various models such as course co-construction, training platform sharing, and talent certification will be implemented to develop high-quality AI application talents [6]