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Jun 20, 2025 · Huawei Cloud has enhanced its intelligent assistant, Pangu Doer, leveraging cutting-edge AI compute, advanced Pangu models, and robust agents for unparalleled performance 1 day ago · Huawei denies claims that its open-source Pangu Pro MoE AI model is a repurposed version of Alibaba's technology, stating the model was independently developed and trained using Huawei's own Ascend chips The controversy began after an anonymous, now-deleted GitHub analysis highlighted close similarities in the Attention parameters between Huawei's Pangu Pro MoE and Alibaba's Qwen-2 5 14B 5 days ago · Huawei has recently launched a new open-source AI model called Pangu Pro MoE 72B, trained on Ascend chips The company has also pushed off this iconic model to the open-source category, allowing all developers to access its code and capabilities Pangu “Pro MoE” 72B (72-billion-parameter) is a hybrid expert model May 10, 2025 · Researchers from the Pangu team at Huawei Cloud introduced a highly structured and optimized training approach for large MoE models tailored to Ascend NPUs They developed Pangu Ultra MoE, a sparse LLM with 718 billion parameters, focusing on aligning model architecture and system design with the capabilities of the Ascend hardware 22 hours ago · The Pangu Pro MoE is the world’s first model of its kind to be trained on Ascend chips — Huawei’s answer to Nvidia Corp ’s AI accelerators — the lab said in a WeChat post over the weekend Jun 30, 2025 · Huawei has open-sourced its Pangu AI models, including a 7-billion-parameter model and a 72-billion-parameter Pangu Pro MoE (Mixture-of-Experts) model The release also features model inference Jun 30, 2025 · On June 30, Huawei officially announced the open-sourcing of the PanGu 7B parameter dense model, the PanGuPro MoE 72B parameter mixture-of-experts model, and the model inference technology based on Ascend This open-source initiative is a key step in Huawei's strategy to build an Ascend ecosystem, aiming to promote research and innovation in large model technologies, accelerate the application
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