Huawei makes its AI models open-source to boost global adoption
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Huawei announced on Monday that it will open-source two of its Pange models and model inference technologies based on Ascend. The firm said it launched the initiative to help build its AI ecosystem and expand overseas. The Chinese tech giant’s open-sourcing move aligns with other Chinese AI players pushing an open-source development strategy. On Monday, multinational AI technology company Baidu also open-sourced its large language model series Ernie. Huawei ups the ante in the AI industry The firm revealed the open-sourcing of its Pangu dense model with 7 billion parameters, the Pangu Pro MoE (Mixtures-of-Experts) model with 72 billion parameters, and its model inference technology based on Ascend, which serves as the platform for AI infrastructure. The weights of the Pangu Pro MoW 72B model and the large-scale MoE model inference code based on Ascend have been open-sourced, while the inference code for the Pangy 7B will be launched on the open-source platform soon. Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group, noted that in recent years, Huawei has transformed from a competent private sector telecommunications company into a tech giant straddling the entire AI hardware and software stack. Huawei announced that the open-source initiative was another key measure of its Ascend ecosystem strategy. The firm argued that it would help speed up the adoption of artificial intelligence across multiple industries globally. According to the tech company, its Ascend ecosystem refers to AI products developed around its Ascend AI chip series. The firm acknowledged that the chips are widely considered to be China’s leading competitor to AI products from Nvidia. The U.S. multinational tech corporation is limited from selling its advanced products to China. Lian Jye Su, chief analyst at Omdia, argued that Pangu advancing to open-source allows developers and organizations to test…
Filed under: News - @ July 1, 2025 1:25 pm