Adapting software/calculations to common consumer hardware might be easier and more (economically) scalable. Even if perfectly rearranged, FPGAs will have some

Adapting software/calculations to common consumer hardware might be easier and more (economically) scalable. Even if perfectly rearranged, FPGAs will have some throughput limit. If computation is the bottleneck, then the quantity of available hardware will be, and unless the AI can access a bunch of reconfigurable FPGAs, there will still likely be many more GPUs available. https://en.wikipedia.org/wiki/General-purpose_computing_on_graphics_processing_units https://en.wikipedia.org/wiki/General-purpose_computing_on_g...