Most crypto mining on GPUs would use 100% of memory bandwidth, but only a fraction of the compute available. This is a consequence of ASIC resistance of their mining algorithms -- custom silicon can only offer a modest benefit over GPUs if the hard part is memory bandwidth.
Why is that true? Can’t you just make more stuff parallel and shrink the ASIC chips accordingly?
So does llm inference. You're lucky if you hit 40% of the advertised flops.