I just skimmed their FAQ at
https://vast.ai/faq, and it seems like it could use an update. E.g., it says "Initially we are supporting Ubuntu Linux, more specifically Ubuntu 16.04 LTS.". That version of Ubuntu has been end-of-life'd for several years, and when I just tried vast.ai out, it seemed to be using Ubuntu 20.04. There were also a couple of words with letters missing (probably trivial typos) that could be found with a spell checker. The questions in their FAQ are really interesting though, in terms of highlighting what users care about (e.g., there's a lot devoted to "how do I use vast.ai + google colab together"?). I also wonder when vast.ai started? Sometimes you can get insight from a company blog page, but the vast.ai blog seems to start in Feb 2023:
https://vast.ai/blog . There's a bunch of "personal experiences" with vast.ai from 3 years ago in this discussion though:
https://www.reddit.com/r/MachineLearning/comments/hv49pd/d_c...A comment in that discussion mentions yet another competitor in this space that I've never heard of: https://www.qblocks.cloud/ -- I just tried Q blocks out and the new user experience wasn't as good for me as with vast.ai: you have to put in $10 money to try it, instead of getting to try it initially for free; there is a manual approval process before you can try data center class GPUs; you only see that your instance is in Norway (say) after you try to start it, not before; it seems like there's no ssh access, and they only provide Jupyter to connect; neither pytorch nor tensorflow seemed to be installed. They could probably update their pages too, e.g., https://www.qblocks.cloud/vision is all about crypto mining and smartphones, which feels a bit dated... :-)
