7 ms·
> 1 exaflop To be clear, this is floating point quarter-precision operations when using the FP8 tensor core arithmetic unit [1]. [1] https://resources.nvidia.
by coherentpony 3y ago
> 1 exaflop
To be clear, this is floating point quarter-precision operations when using the FP8 tensor core arithmetic unit [1].
[1] https://resources.nvidia.com/en-us-grace-cpu/grace-hopper-superchip https://resources.nvidia.com/en-us-grace-cpu/grace-hopper-su...
- pezezin 3y agoCame here to post exactly the same link. Not just that, but 1 exaflops of sparse FP8. In comparison, Frontier is 1 exaflops of dense FP64. Try to run this Nvidia system as dense FP64, and it performance will degrade two orders of magnitude. Don't get me wrong, the machine is really impressive, but the advertisement is quite misleading.