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Day 2: Advanced Docker for AI — Multi-Stage Builds for Heavy Python Runtimes

Containerising an AI workload is a different problem from containerising a web service. The dependencies are huge, the build tools are heavy, and an unoptimised image can pass 10 GB . Moving that across a registry slows every CI/CD run, and during a Kubernetes autoscale event each new pod must pull…

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  1. 2026-11-08 18:28 · DEV Community — AI
    Day 2: Advanced Docker for AI — Multi-Stage Builds for Heavy Python Runtimes

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