As far back as 2015, it’s been common to take neural net inference and get a C++ version of it. That’s what this is.
It didn’t make python obsolete then and it won’t now.
Training (orchestration, architecture definition etc.) and data munging (scraping cleaning analyzing etc.) are much easier with python than C++, and so there is no chance that C++ takes over as the lingua Franca of machine learning until those activities are rare
Its always been obvious that ML’s marriage to python has always been credential ladened proponents in tangentially related fields following group think.
As soon as we got a reason to ignore those PhDs, their gatekept moat evaporated overnight and the community of [co-]dependencies became irrelevant overnight.