Separate scheduling delay from image pull, artifact transfer, GPU loading and warm-up. The autoscaler needs the full request-to-ready time.
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hardNewNVIDIADatabricksMicrosoft
Your inference replica takes nine minutes from pod scheduled to first token served. Where does the time go and what do you fix?
Separate scheduling delay from image pull, artifact transfer, GPU loading and warm-up. The autoscaler needs the full request-to-ready time.
Updated Sep 2026 · Grounded in researched DevOps, SRE and platform engineering interview loops, written to a senior-engineer editorial bar, and never padded to hit a word count.
UP NEXT ON YOUR JOURNEY
Next in this trackSomeone proposes serving the quantised model to halve your GPU bill. What has to be true before you ship it?Next in this trackProduct wants to raise the context limit from 8k to 128k tokens. What happens to your infrastructure?Next in this trackLong prompts are making short requests slow on the same replica. What is happening, and how would you fix it?
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