From Chaos to Consistency: Docker for Modern AI Workflows (opens in new tab)

You trained the model. The notebook runs. The demo works. You push it to a teammate, and forty minutes later you get the message every engineer dreads: "Hey, I'm getting a CUDA error. And torch won't import. And what version of Python is this?" And you say the six words that have haunted software since the dawn of time: "But it works on my machine." Here's the uncomfortable truth: "it works on my machine" isn't a defense. It's a confession. It means your code depends on something living on yo...