Sep 20, 2026 · Artificial Intelligence

GLM-5.3-FlashX Hits 200 tokens/s: Agent-Driven Dense Feedback Loops Optimize Full Inference Pipeline

Zhipu AI's GLM-5.3-FlashX achieves 200 tokens/s, a 5x speedup over Flash, built on 100k domestic chips using Agent-driven dense feedback loops that optimize the full inference pipeline through three case studies: FP32/TF32 precision fixes, GIL contention in KV Transfer, and redundant computation elimination in KDA Decode.

Agent-driven optimizationFP32/TF32 precisionGIL contention

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GLM-5.3-FlashX Hits 200 tokens/s: Agent-Driven Dense Feedback Loops Optimize Full Inference Pipeline