Z.ai · Self-Built Inference Stack

Toward Recursive Self-Improvement

Z.ai describes putting GLM-5.3 to work as an infra agent that built and optimised the production inference stack now serving GLM-5.3-Flash on a cluster of more than 100,000 Chinese-made accelerators. From first successful run to production readiness took under two weeks, with end-to-end throughput roughly tripling against the initial baseline and per-token cost said to reach parity with mainstream Nvidia GPUs. The obstacles listed are the interesting part: limited chip memory and bandwidth, a new model architecture, a 1M context window, multimodal requests, an immature software ecosystem and incomplete kernel support. Published 17 September; z.ai fetches empty, so sourced from secondary coverage.