# Zhipu AI’s Infra Agent Speeds Up Sovereign Hardware Clusters Using Recursive Optimization > Source: > Published: 2026-09-17 09:00:00+00:00 Zhipu AI’s Infra Agent Speeds Up Sovereign Hardware Clusters Using Recursive Optimization Professor Tang Jie, founder of Zhipu AI, announced that their GLM-5.3 driven 'Infra Agent' achieved a 3.2x end-to-end throughput improvement for a production-grade inference system built on a cluster of over 100,000 domestic Chinese AI chips in under two weeks. AsiaAI Publisher · September 17, 2026 · 2 min read · Source: 量子位 QbitAI · Issue #99 East Asian Technology Intelligence Japan & China tech news — translated, contextualized, and delivered for Western readers. Free. Unsubscribe anytime. This story ran in Issue #99, alongside three other stories. AI & Machine Learning Professor Tang Jie, founder of Zhipu AI, announced that their GLM-5.3 driven ‘Infra Agent‘ achieved a 3.2x end-to-end throughput improvement for a production-grade inference system built on a cluster of over 100,000 domestic Chinese AI chips in under two weeks. This agent autonomously identified and resolved performance bottlenecks from scratch, spanning operator precision issues, Python/C++ concurrency, and Kernel optimization. This development from Zhipu AI, a leading Chinese LLM developer, demonstrates progress in AI’s ability to optimize its own underlying infrastructure, even on complex, large-scale domestic hardware. It highlights China’s ambition to achieve ‘recursive self-improvement’ (RSI) in AI, aiming for systems that can autonomously design and train their successors.