Ant Group Cuts AI Costs by 20% Using Chinese and US Chips
- Ant Group has cut AI training costs by 20% using a mix of Chinese semiconductors from Alibaba and Huawei, according to sources familiar with the matter.
- The company aims to extend AI applications in healthcare using its new models Ling-Plus and Ling-Lite, enhancing efficiency for 290,000 doctors.
- Ant's AI improvements are a response to U.S. Restrictions on advanced semiconductors, with the company exploring alternatives to Nvidia chips.
- Ant Group's advancements could signify progress for Chinese AI development, reducing costs and training time for AI models.
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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