There are many sites where you can rent GPUs. Prime Intellect tries to aggregate them, but it doesn't always have the best price - after all, it doesn't have all the GPU providers of the world - so this app tracks when.
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Once you ship this you can't edit the description of the project, but you'll be able to add more devlogs and re-ship it as you add new features!
settings pane! i switched the old switches/selects to button groups because they look better. they internally use radio buttons which, surprisingly, also work for booleans. i also added a ram slider: this uses a logarithmic scale to make it comfortable to go from the minimum of 1gb to the maximum of 2,256gb (although we track gpu setups with as much as 20,480gb total ram).
i added some more gpus and improved data processing. menial but important work. bigger changes soon.
on the lium side: i added manual support for some new GPUs (lium is crazy cheap, like an A4000 for $0.08/hour!)
and for vast, i added more from the infinite selection of gpus, like the 5000Ada (powerful Ada Lovelace-based one) and the B200 (surprisingly blackwells are on vast), and improved the checking of ram to use a unified function: entry.gpu_ram >= gib * 1024 * 0.9
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i added support for more gpus from vast and salad. (i probably shouldn't be hardcoding this, but true standardization is better than fake standardization...)
i added lium (a bittensor/crypto-based gpu provider), and since the list was getting a little long, i also implemented a grid view. isn't it glorious?
i realized i wanted to add sf compute, but they only provide gpus in clusters, so i implemented support for clusters from prime intellect, vast ai, deepinfra, salad, and sf compute. (prime intellect's clusters are typically not the cheapest)
so about that data... i've added some for salad. i also updated the ui a little (allow filtering for more useful comparison of prime intellect).