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Docker became part of the standard toolkit for ML because deploying Python that links to underlying system libraries is a gong show unless you ship that layer t
by mikepurvis 2y ago
Docker became part of the standard toolkit for ML because deploying Python that links to underlying system libraries is a gong show unless you ship that layer too.
- tannhaeuser 2y agoEven Docker doesn't guarantee reproducible results due to sensitivity towards host GPU drivers, and ML frontends/integrations bringing their own "helpful" newby-friendly all-in-one dependency checks and updater services.