if you dont mind running python in production, then pytorch is ready for production.
However, industrial-grade production deployments prefer C/C++/Java (for example mobile).
Hence our tag of “pytorch is not suited for production”, tied to our deep entanglement with python.
We also tend to always prioritize research flexibility over freezing specs / a more structured static model approach which is also suited for production.