[davmre]

Sure, lots of existing ML algorithms have efficient big-data implementations. But for new algorithm development, my (admittedly limited) experience is that the Matlab-prototyping stage usually comes well before the implement-at-scale stage. You're right that modern tools effectively abstract out a lot of the difficulty of implementing at scale, but IMHO it's still generally not the first thing you'd want to do.