Bug description

The FLOPs numbers in throughput.py for H100 and H200 GPUs have some inconsistencies that have caused me some confusion when switching between GPU types:

• all H200 and the H100 NVL GPU seem to be using sparse FLOPs numbers
• the H100 SXM and PCIE models seem to using dense FLOPs, see: https://resources.nvidia.com/en-us-gpu-resources/h100-datasheet-24306

I think it would be good to standardize on one and also document the behaviour as there's a factor 2 difference between the two.

What version are you seeing the problem on?

master

Reproduced in studio

No response

How to reproduce the bug

Error messages and logs

# Error messages and logs here please

Environment

#- PyTorch Lightning Version (e.g., 2.6.0):
#- PyTorch Version (e.g., 2.5):
#- Python version (e.g., 3.12):
#- OS (e.g., Linux):
#- CUDA/cuDNN version:
#- GPU models and configuration:
#- How you installed Lightning(`conda`, `pip`, source):

More info

No response

cc @ethanwharris