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Mitigating Cold Start in LLM: Best Practices and Solutions

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

Cold start is one of the most common friction points in production LLM inference. It occurs when a model is not loaded into GPU memory and must be initialized before the first token can be generated. For serverless or autoscaling deployments, this delay can stretch from several seconds to over a mi…

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  1. 2026-09-04 05:34 · DEV Community — AI
    Mitigating Cold Start in LLM: Best Practices and Solutions

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