媲美千亿级模型，华为首个开源大模型上线

Group 1 - Huawei announced the open-source release of the Pangu model with 70 billion parameters and the Pro MoE 72B model with 720 billion parameters, enhancing the development of large model technology on domestic computing platforms [1] - The Pro MoE 72B model achieves superior performance comparable to trillion-parameter models by dynamically activating a network of experts, with only 160 billion parameters activated during operation [1] - The latest Super CLUE ranking places Huawei's large model as the top domestic model within the trillion-parameter category, indicating significant advancements in the field [1] Group 2 - Huawei's Ascend chips and CANN heterogeneous computing architecture are part of a fully autonomous and optimized closed-loop solution, marking a shift in global AI computing competition towards large-scale system efficiency and ecosystem development [2] - The Ascend super node has been commercially deployed in data centers such as China Telecom, contributing to the growth of the domestic supply chain [2] Group 3 - Huasen Tiancheng has collaborated with Huawei on Ascend chips and AICC intelligent contact center initiatives, indicating a strategic partnership in AI technology [3] - Softcom Power has launched the Softcom Ascend AI workstation to enhance local AI inference and production efficiency, reflecting the industry's push towards localized AI solutions [4]