How much can a video generated by the same diffusion model differ across GPU architectures if the initial noise latent is fixed? [D]

Hi! I am trying to sanity-check an assumption for diffusion video generation reproducibility.

Suppose I run the same video diffusion model on two different GPU architectures, with:

• identical model weights and implementation (same attention backend, etc)
• identical prompt and parameters (same number of denoising steps, etc)
• deterministic sampler (no extra noise is injected during inference)
• the exact same starting noise latent

Could I expect more or less the same generated video?

I understand that there's no way to guarantee bitwise-identical outputs due to floating-point math differences, but could it realistically make the generated videos so different that it'd be immediately noticeable to a human eye? Or would one normally expect only tiny pixel-level/minor perceptual differences?