We're testing finetuning on an h100 and 4090, here are the results:

4090: https://voca.ro/11mtxzLHzzih
h100: https://voca.ro/15QldVjuG7nu

Almost identical finetune, but h100 is output is SIGNIFICANTLY worse. It isn't a config issue, and we've replicated it twice with LJSpeech as well.

4090 is also faster during training and considerably faster during inference, almost 20x faster than h100:

h100:

And during training, one epoch took the 4090 about 3 minutes, while the h100 took 4.12 minutes.

Does anyone know what could be going on here? Never seen an issue like this on an h100 before with a diffusion like model. Thanks