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I understand the appeal, but IMO wrapping the Python stuff in a docker container is fairly simple. Making it run at scale using something like kubernetes is mo
by cjalmeida 9y ago
I understand the appeal, but IMO wrapping the Python stuff in a docker container is fairly simple.
Making it run at scale using something like kubernetes is more advanced stuff but still within good devops practices.
Unless, of course if you want to run on exotic HW, like TPUs. But that's an issue for Googlish scales.
Edit: BTW, if on premise you mean Windows client software your point is totally valid, Python would suck for this.
- puzzle 9y agoDepending on how much extra logic you add around the model serving library, then you are exposing your source code, too. Maybe you care, maybe not. Re: Windows, there's no TF serving for that, so TF is no better than other Python frameworks.