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A training run from three months ago cannot be reproduced. Same code, same data, different result. Where does the difference come from?

Code and data are the two things people pin, and they are rarely the two things that changed. The driver, the framework build, the kernel selection and the data ordering all vary underneath a pinned repository.

Updated Sep 2026 · Grounded in researched DevOps, SRE and platform engineering interview loops, written to a senior-engineer editorial bar, and never padded to hit a word count.

Code and data are the two things people pin, and they are rarely the two things that changed. The driver, the framework build, the kernel selection and the data ordering all vary underneath a pinned repository.

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Next in this trackAt 512 GPUs something fails every few hours. How does a training run survive that?Next in this trackYour GPUs sit at 40 percent utilisation during training and the model code is fine. What is starving them?Next in this trackDesign the path a model takes from a training run to production traffic. What gates does it pass?
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