I've only dabbled in this area, so it's entirely possible my question doesn't make sense. Machine learning algos in general seems to have a bunch of iterative c

I've only dabbled in this area, so it's entirely possible my question doesn't make sense. Machine learning algos in general seems to have a bunch of iterative components, but within each iteration there is massive parallelism. Did you consider using a whole bunch of DSPs? They can also do parallel processing but might be cheaper in bulk than GPUs.