Ask HN: Rate GPUs

As a deep learning hobbyist, I have a general sense for which GPUs are great and which are awful. But, I'm less familiar with some of the in-the-middle ones, and I'm generally curious what criteria pro researchers use. E.g., never use anything besides X, if you were strapped for cash maybe use Y, etc.

Here are the main ones I've come across, but maybe people would say others are relevant too.

I've included my guesses as to ratings/thoughts, as well as current AWS spot price for 1 GPU in east-2. Does this assessment seem roughly right? Am I missing anything? Obviously assessing these can be very complicated based on what exactly you're using them for; I'm just looking for very high level thoughts.

A100 9.5/10 - among the best available now? $1.39/hr (this is an estimate; AWS actually only offers an 8 GPU instance for $11.15/hr so I just divided by 8)

V100 8.5/10 - very good $0.92/hr

P100 8/10 - good, used a fair amount in research AWS doesn't seem to offer these anymore? Replaced by V100s?

T4 5/10 - I don't know. Do people use these ever? $0.36/hr

M60 2/10 - I don't really know. I assume bad $0.34/hr

K80 1/10 - crap, basically don't ever waste your time $0.27/hr