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Group 1: AI Infrastructure Innovations - Lenovo is addressing industry pain points by upgrading hybrid AI infrastructure across multiple dimensions, focusing on computing efficiency and energy efficiency [1] - The company introduced four innovative technologies in computing efficiency, including AI inference acceleration algorithms that outperform the best industry solutions by 20%, and an AI compiler optimizer that reduces training and inference costs by over 15% [1] - Lenovo's new version of the heterogeneous intelligent computing platform, Wanquan 3.0, has achieved leading industry results in various high-quality AI cluster scenarios [1] Group 2: Green Computing Solutions - Lenovo has achieved significant energy efficiency improvements through liquid cooling technology, with a new immersion cooling system that doubles the cooling capacity compared to traditional solutions and achieves a system PUE as low as 1.035 [2] - The company launched a dual-optimization operational system for computing services, which enhances cluster resource utilization by 13% and identifies 58% of ineffective instances [2] Group 3: Data Infrastructure and Services - Lenovo's subsidiary, Lenovo Lingtuo, announced a new storage combination aimed at providing high-performance, reliable, and scalable solutions for AI, high-performance computing, big data analytics, and various unstructured data applications [2] - The goal is to create a unified data foundation for enterprises, facilitating a flexible architecture with strong data protection and higher scalability [2] Group 4: Strategic Vision - Lenovo's Vice President emphasized the company's commitment to building a more powerful, efficient, stable, and green hybrid infrastructure to accelerate the implementation of hybrid AI across various industries [3]