Ant Group Cuts AI Costs by 20% Using Chinese and U.S. Chips

The Alibaba-affiliate achieves cost efficiency with a dual-chip strategy and Mixture of Experts technique, advancing AI healthcare solutions in Chinese hospitals.

Ant Group has reduced AI training costs by 20% through a dual-chip strategy combining Chinese-made chips from Alibaba and Huawei with U.S.-made AMD chips.
The company employs the Mixture of Experts (MoE) technique to maximize efficiency and reduce reliance on Nvidia's advanced semiconductors.
Ant's AI healthcare solutions, built on models like DeepSeek's R1 and V3, Alibaba's Qwen, and its proprietary BaiLing, are now operational in seven major Chinese hospitals.
The healthcare AI models can answer medical questions and improve patient services, showcasing practical applications of its cost-efficient AI advancements.
Ant's innovations highlight China's growing ability to adapt to U.S. semiconductor export restrictions while maintaining competitive AI performance.