just read an interesting post about moving machine learning models out of those pesky notebooks and into real production environments. its a big shift, but totally necessary for handling high traffic stuff.
the key is setting up robust infrastructure that can handle all the requests without breaking down or giving wrong answers seems like colab's free lunch ain't cuttin' it anymore!
anyone out there had to do this? what was your biggest challenge and how did you tackle it?
i wonder if anyone has tried containerizing their models. any tips on that front would be super appreciated!
link:
https://thenewstack.io/production-ai-infrastructure-guide/