US EditionAnt Group Cuts AI Costs by 20% Using Chinese and US Chips
- Ant Group has reduced AI training costs by 20% by using Chinese-made semiconductor chips, as reported by Bloomberg.
- The company utilized a machine learning method called Mixture of Experts to achieve results similar to those from Nvidia's chips, according to anonymous sources.
- This shift highlights China's efforts to lessen reliance on foreign technology in AI development, as mentioned by Bloomberg.
- Ant aims to apply its new models for AI solutions in sectors like healthcare and finance, as stated in its recent research.
48 Articles
48 Articles
Chinese chips help Ant cut AI costs by 20pc
Bloomberg Jack Ma Yun-backed Ant Group used Chinese-made semiconductors to develop techniques for training AI models that would cut costs by 20 percent, according to people familiar with the matter. Ant used domestic chips, including from affiliate Alibaba (9988) and Huawei Technologies, to train...
Ant Group’s AI breakthrough: Cuts AI training costs by 20% using Chinese chips over Nvidia’s - Tech Startups
Ant Group, the fintech giant backed by Jack Ma, has quietly made a bold move in AI development—one that could shake up the industry. According to a report from Bloomberg, the company has successfully trained AI models using Chinese-made semiconductors […] The post Ant Group’s AI breakthrough: Cuts AI training costs by 20% using Chinese chips over Nvidia’s first appeared on Tech Startups.
Ant Group cuts AI costs by 20% using Chinese chips · TechNode
Ant Group has developed AI model training technology using Chinese-made chips, reducing costs by 20%, according to Bloomberg. The fintech giant used semiconductors from Alibaba and Huawei, along with a machine learning method called mixture of experts, or MoE, which splits tasks into specialized subsets for efficiency. MoE models, also used by Google and China’s DeepSeek, have gained traction amid surging corporate AI investments. Ant’s training…
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