GLM-5.3-Flash served on 100k+ Chinese accelerators, infra agent tripled throughput in two weeks
JeremyCMorgan · x · 2026-09-26
Jeremy Morgan shares a large-scale inference case study:
- GLM-5.3-Flash is now serving on 100k+ Chinese domestic accelerators, with much of the tuning work done by an infra agent.
- Throughput tripled in under two weeks.
- The reusable lesson isn't a single aggregate number but dense feedback: correctness tests, traces, and microbenchmarks driving the agent's optimization loop.
Valuable reference for teams running large inference stacks or using agents for performance tuning.
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