A recent analysis of SGLang's cold start performance on a T4 GPU revealed that the time until a model is "ready" is only about two-thirds of the total billed time before the first user request is served. The experiment, conducted on October 5, 2026, showed that while the server reported being ready in approximately 387 seconds, the first chat request took an additional 176 seconds to complete. This suggests that for scale-to-zero platforms, the billed time before the first user receives a response is significantly longer than just the server boot-up time. The author recommends measuring three distinct phases: billing start to health check, billing start to first request completion, and the idle tail after the last request, to accurately price billed time. AI
IMPACT Highlights the significant overhead in LLM inference server cold starts, impacting cost and user experience for scale-to-zero platforms.
RANK_REASON Analysis of LLM inference server performance and cold start times. [lever_c_demoted from research: ic=1 ai=1.0]
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