联想发布万全异构智算平台4.0 训练时间最高可缩短50%

Core Insights - Lenovo launched the "Lenovo AI Factory" solution aimed at transforming traditional data centers into intelligent AI factories during the "Heterogeneous Intelligent Computing Local Engine" 2025 Industry Alliance Summit and AI Computing Infrastructure New Product Launch in Beijing [1] - The new high-end AI server, Lenovo Wenti WA8080a G5, is based on Intel Xeon 6 processors, and the upgraded Lenovo Wanquan Heterogeneous Intelligent Computing Platform 4.0 shows performance improvements in four key scenarios, with training time reduced by up to 50% in certain training scenarios [1] - The event also saw the release of the industry's first standard verification results for "High-Performance Training and Inference Service Capability Requirements," aimed at evolving computing services from "resource delivery" to standardized "capability delivery" [1] - Lenovo's Vice President emphasized the deep integration of AI with industries and the importance of diverse computing and chip model ecosystems in building China's AI ecosystem [1] - The company will continue to focus on "AI-oriented" and "localization" strategies to meet enterprise-level AI infrastructure needs and promote industrial intelligent transformation in collaboration with partners [2] Group 1 - Lenovo introduced the "Lenovo AI Factory" solution to aid in the transition of data centers to intelligent AI factories [1] - The new Lenovo Wenti WA8080a G5 server is designed for high-end AI model training and is based on Intel Xeon 6 processors [1] - The upgraded Lenovo Wanquan Heterogeneous Intelligent Computing Platform 4.0 enhances performance in key AI scenarios, achieving up to a 50% reduction in training time [1] Group 2 - The summit featured the release of a new standard for evaluating high-performance training and inference service capabilities [1] - Lenovo's leadership highlighted the need for a robust AI computing ecosystem in China, emphasizing the integration of AI with various industries [1] - The company plans to advance its "AI-oriented" and "localization" strategies to support enterprise AI infrastructure and industrial transformation [2]