Comment by ilaksh

Surely some significant fraction of the billions and billions are being spent on intensive R&D to for example increase scale of MRAM modules or radical new paradigms like nitrides-based ferroelectric compute-in-memory?

I think there's a reason that University of Michigan researcher jumped after that ferroelectric breakthrough.

I am hopeful that some of this massive pressure is going to push us into the next paradigm, which is likely some kind of "true" compute-in-memory system. That may increase performance and efficiency for AI by up to 100 X.