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Nydus + JuiceFS: Reducing Container Startup Time for AI Inference from 116s to 1.4s

This story is from 2026-10-09. It is preserved in the archive; the latest stories are on the live feed.

In large-scale AI inference services, when a cluster scales out, newly added inference instances must go through a series of cold-start steps before they can serve requests: container image preparation, file system mounting, runtime and inference framework initialization, and model weight loading.…

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  1. 2026-10-09 07:53 · DEV Community — AI
    Nydus + JuiceFS: Reducing Container Startup Time for AI Inference from 116s to 1.4s

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