GLM-5.3-powered Infra Agent took Chinese accelerators to full production traffic in 2 weeks with 3.2x throughput

victormustar · x · 2026-09-18

Jie Tang revealed that GLM-5.3-Flash went from first run on domestic Chinese accelerators to serving all production traffic in two weeks, with 3.2x end-to-end throughput — much of the work done by an Infra Agent powered by GLM-5.3, a model optimizing the system that serves it. Constraints included limited memory/interconnect bandwidth, 1M-token context, multimodal requests, and an immature stack with missing kernels. Key trades: compute for memory (ReplaySSM), communication for memory (intra-node tensor parallelism), precision for capacity (mixed INT8/FP8/BF16).

Related event: Zhipu Discloses RSI Loop: GLM-Driven InfraAgent Ships Inference on 100K Domestic AI Accelerators in Two Weeks(16 posts)→

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