Raw SignalSep 23, 20261 min read1 source

How to serve trillions of tokens for trillion

In one minute

Modal published a production engineering account of serving coding-agent workloads with a roughly trillion-parameter Kimi model.

Its representative workload had about 100,000 input tokens and 500 output tokens per request, while repeated session history made KV-cache management central. Modal reports 2.8× higher per-user replica performance and 5.6× higher aggregate performance across users after serving optimizations built on SGLang.

Evidence / sources

  1. 1modal.com/blog/trillion-tokens-trillion-parameters
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