One of the biggest problems IMHO is that they aren't trying to usefully accelerate it on anything other than specialty hardware or 64+ core EYPCs so nobody gets

One of the biggest problems IMHO is that they aren't trying to usefully accelerate it on anything other than specialty hardware or 64+ core EYPCs so nobody gets to play with it at home. ex: A 7900XTX barely gets 0.5 TOPS of u/i64 naively w/ hip-direct, 5-10s just to bootstrap! I needed more throughput for non-crypto i64 diff eqs so I slopped up a lib that uses RNS & CRT w/ Int8 GEMM... it's good for ~3.9 TOPS (~90% theoretical peak of the RDNA3) at prod relevant FHE sizes (2048/4096). This lowers bootstrap time to 200-500ms. It was basically free real estate lol It isn't done yet (not worth the heat in the summer), going to finish it in the fall. Have been accumulating cloud credits to do CDNA3/4 validation in the meantime (If anyone has some to offer do let me know!) It's neat but very dry, uses semantic contracts so you tell it what kind of mult you need and it chooses the validated best backend. If you're doing lots of smaller ops (512, 1024) it will use custom WMMA/MFMA kernels, dual issue, and grouped dispatch to land >70x over hip-direct. https://github.com/doublemover/RNS8/ https://github.com/doublemover/RNS8/