Genuine question rather than a negotiating tactic: what is everyone actually paying per GPU-hour for 32GB-class cards on a committed term?
Public spot pricing is between 0.19 and 0.31 depending on who you ask, which is a wide enough band that I suspect most of it is not real.
I sell it, so discount me accordingly, but the honest answer is that spot pricing is mostly fiction and committed pricing is where the real number lives.
Reserved capacity resold on a twelve-month term is 0.17 to 0.19 for RTX 5090 class right now. Below that you are either buying someone's stranded capacity or buying an availability promise they cannot keep.
{"gpu_class":"rtx-5090","term_months":12,"price_range":[0.17,0.19],"currency":"USD","unit":"gpu-hour"}Second data point from the other end: 24GB cards, twelve-month, 0.11. The VRAM step is the whole price difference and if your workload batches cleanly it is not worth paying for.
Worth actually testing rather than assuming. I moved two pipelines down a tier and lost nothing.
{"gpu_class":"24gb","term_months":12,"price":0.11,"currency":"USD","unit":"gpu-hour"}Late to this but it is worth saying out loud: the number that matters is cost per completed unit of work, not cost per hour.
A cheap card that makes your batch fail at 80% and need a re-run is more expensive than the premium tier. Ask for measured batch completion, not availability.
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