Ant Group's Luo Ji Reveals Deployment of 10,000-Card Domestic Computing Cluster, Fully Applied in Security and Risk Control

At the Cutting-Edge AI Model Forum during the 2025 World Internet Conference Wuzhen Summit, Luo Ji, President of the Platform Technology Business Group at Ant Group Co., Ltd., delivered a keynote speech sharing the company's breakthroughs in large-scale AI models through technological innovation.

Luo Ji highlighted that recent advancements in Artificial General Intelligence (AGI), driven by the "Scaling Law," have seen capabilities surpassing human benchmarks. However, the exponential growth in training data (exceeding 20T for flagship language models) and trillion-parameter models has intensified computational resource constraints and rising costs, posing challenges to further AGI breakthroughs.

Ant Group's AI system, Bailing, has developed a comprehensive open-source model framework covering language, reasoning, and multimodal capabilities. Notably, its recently launched Ring-1T—the world's first open-source trillion-parameter reasoning model—demonstrates superior logical reasoning and coding proficiency, with mathematical abilities rivaling International Mathematical Olympiad silver medalists. Innovations in training methodology have doubled efficiency while stabilizing both training and inference processes.

A critical breakthrough involves token optimization in inference generation. Ring-1T's evolutionary chain-of-thought approach significantly reduces resource consumption while maintaining accuracy, achieving Pareto optimality between performance and computational cost. Ant Group has operationalized a 10,000-card domestic computing cluster, compatible with proprietary and mainstream open-source models, delivering 98% training stability and performance parity with international counterparts. This infrastructure fully supports large-model training and inference services for security and risk control applications.

"Rather than replacing humans, AI should amplify human capabilities through deep human-machine integration," emphasized Luo Ji. "As we enter an era of human-AI symbiosis, advancing intelligent systems must be paralleled by steadfast commitment to ethical, secure, and trustworthy AI development."