alt Hacker NewsHopper 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.
This is kind of amazing - I still have a bunch of Titan V's (2017-2018) that do 7 TF FP64. 8 years old and managing 1/4 of what Rubin does, and the numbers are probably closer if you divide by the power draw.
(Needless to say, the FP32 / int8 / etc. numbers are rather different.)