Modal explains how to serve trillions of tokens for trillion-parameter coding agents
ivan_bezdomny · x · 2026-09-24
Modal engineers published a deep technical post on serving coding-agent inference at extreme relative and absolute performance, after discovering they handle 40% of Kimi K3 traffic on OpenRouter. The piece covers hardware utilization near peak rates (petaFLOP-scale Tensor Cores), the compute profile of trillion-parameter models, and why only large-scale providers can amortize hardware and engineering costs.
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