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How do you usually structure model versioning and artifact management for ML inference?

This story is from 2026-09-08. It is preserved in the archive; the latest stories are on the live feed.

I'm working on an ML project where I'm trying to keep model versions, artifacts, deployments, predictions and evaluation metrics tied together instead of managing them separately. I'm curious how people here usually approach this. For example: How do you track which model artifact belongs to which…

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  1. 2026-09-08 07:15 · r/MLQuestions
    How do you usually structure model versioning and artifact management for ML inference?

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