Ant Group Cuts AI Training Costs by 20% Using Chinese and AMD Chips
The Alibaba-backed fintech giant leverages innovative techniques and diversified hardware to advance AI healthcare solutions and reduce reliance on Nvidia.
- Ant Group achieved a 20% reduction in AI training costs by combining Chinese-made chips from Alibaba and Huawei with U.S.-made AMD chips.
- The company unveiled two new AI models, Ling-Plus and Ling-Lite, which were trained using the cost-efficient Mixture of Experts (MoE) technique.
- These AI models reportedly perform on par with Nvidia's H800 GPUs and outperform Meta's models in certain internal benchmarks, according to Ant Group.
- Ant's AI healthcare solutions, built on proprietary and collaborative models, are now operational in seven major hospitals across China, improving medical services.
- The shift to domestic and AMD chips reflects China's broader push for technological independence in response to U.S. export restrictions on advanced semiconductors.
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