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成本降低20%!蚂蚁集团用国产芯片训练AI
国芯网· 2025-03-25 04:46
Core Viewpoint - Ant Group has successfully utilized domestic chips, including those from Alibaba and Huawei, in conjunction with the mixed expert (MoE) machine learning method to train AI models, achieving a cost reduction of approximately 20% [1] Group 1 - The performance of the new technology is comparable to NVIDIA's H800 chip [1] - Ant Group continues to use NVIDIA chips for AI development but has shifted its latest models to primarily rely on alternatives from AMD and domestic Chinese chips [1] - Ant Group is continuously optimizing for different chips to reduce AI application costs and has made significant progress, with plans to gradually share its findings through open-source initiatives [1] Group 2 - The move is significant in the context of U.S. export restrictions on high-end chips to China, indicating that China has largely overcome U.S. semiconductor sanctions [1] - Ant Group's open-source Ling series model framework and training strategies could promote the accessibility of domestic AI technology, lowering the entry barriers for small and medium-sized enterprises and research institutions [1]