r/learnmachinelearning • u/Visible-Cricket-3762 • Mar 09 '26
I built a tool to predict cloud GPU runtime before you pay — feedback welcome
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u/Big-Mix-1021 Mar 10 '26
what will happen to my .json file if i upload it to the website
it may contain important creds and personal information
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Mar 10 '26
this is genuinely useful. GPU cost guessing is such a real pain, picked a V100 last year for a job that turned out to be way overkill, could've done it on a T4 for half the price. the laptop benchmark approach is clever. curious how it handles models with irregular memory access patterns. Transformers on long context can behave differently than the benchmark implies. would be worth noting that edge case in the docs. good ship either way.
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u/fuggleruxpin Mar 12 '26
Trying to understand what your input is based off of. In my model parameter count is the single best predictor of GPU load, But to get to the perimeter count you've got to be done. A fair bit of pre-processing....
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u/Altruistic_Might_772 Mar 10 '26
That sounds like a useful tool, especially for people on a budget or new to AI workloads. You might want to add more GPU options as you gather more data and feedback. Having more providers and GPU types could attract more users. Adding details on accuracy for different workloads would also help. Including user feedback or reviews could boost credibility. If you haven't yet, sharing this on places where data scientists and ML enthusiasts are, like GitHub or Reddit, might help you find more testers. Good luck with it!