Hopper had 60 TF FP64, Blackwell has 45 TF, and Rubin has 33 TF.

It is pretty clear that Nvidia is sunsetting FP64 support, and they are selling a story that no serious computational scientist I know believes, namely that you can use low precision operations to emulate higher precision.

See for example, https://www.theregister.com/2026/01/18/nvidia_fp64_emulation...

It seems the emulation approach is slower, has more errors, and doesn't apply to FP64 vector, only matrix operations.