Containers: ship the model with its environment
“Works on my machine” is classic ML: mismatched CUDA, PyTorch, NumPy, system libs. Docker packages code, dependencies, system libraries, and config into one image. Any host with Docker runs it the same way. For ML, reproducible inference matters as much as reproducible training.
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