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Published
25/100

Ryan Hanrui Wang on how KV-cache management shapes agent latency and cost

AINebius AI's Ryan Hanrui Wang argues that moving from fast tokens to fast agents depends on KV-cache management, scheduling, and model selection. He says these choices determine context reuse, latency, and the economics of production agents.
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Ryan Hanrui Wang (@nebiusai) on moving from fast tokens to fast agents.

How KV-cache management, scheduling and model selection shape context reuse, latency and the economics of production agents.

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Original title: Ryan Hanrui Wang (@nebiusai) on moving from fast tokens to fast agents.