IMO FPGAs sound like they’d be good with extra flexibility but in practice ASICs are just better. Higher frequency, lower power and there just isn’t a way to ma

IMO FPGAs sound like they’d be good with extra flexibility but in practice ASICs are just better. Higher frequency, lower power and there just isn’t a way to make up for the frequency gap. You can quantize and do fancier stuff, but then you need to fine tune or train on your actual inference HW to ensure you’re actually correct. You can emulate your quantization scheme and train on GPUs, but then your GPU training will be slow af. Building a true model specific bitstream for an FPGA that is actually utilizing all of the resources of the FPGA is not simple, and even if you do, overcoming the frequency gap is hard.