[Symmetry]

Nowadays AI chips are specialized in not just vector multiplication but matrix multiplication. Just as moving from scalar math to vectors brings savings in control and routing logic, moving from vector to matrix does the same. Taking a result from a floating point unit and moving it to a big, multi-ported register file and then reading it out again to feed into another floating point unit is often a much bigger draw of power than the multiplication or addition itself and to the extent you can minimize that by feeding the results of one operation direction into the processing structures for the next you've got a big win.