[fpgaminer]

> FPGAs will never rival gpus or TPUs for inference. The main reason is that GPUs aren't really gpus anymore.

Yeah. Even for Bitcoin mining GPUs dominated FPGAs. I created the Bitcoin mining FPGA project(s), and they were only interesting for two reasons: 1) they were far more power efficient, which in the case of mining changes the equation significantly. 2) GPUs at the time had poor binary math support, which hampered their performance; whereas an FPGA is just one giant binary math machine.

[beeflet]

I have wondered if it is possible to make a mining algorithm FPGA-hard in the same way that RandomX is CPU-hard and memory-hard. Relative to CPUs, the "programming time" cost is high.

Nice username btw.

[hayley-patton]

My recollection is that ASIC-resistance involves using lots of scratchpad memory and mixing multiple hashing algorithms, so that you'd have to use a lot of silicon and/or bottleneck hard on external RAM. I think the same would hurt FPGAs too.

[ksk23]

Imho, not knowing too much bout both concepts; it kinda is!

You would need to re-implement a general purpose cpu to beat it, or that was the idea behind RandomX