its great if you know what your doing… its great if you know what your doing if its your first time doing things like this get help from a experienced person

Good intentions and pricing, poor execution Good intentions and pricing, but so far so-so execution. My custom Docker image did not let me use GPU in TF or PyTorch, and yet the site info said it should be compatible (not with newer CUDA drivers, no - it cannot be, as these drivers are not backward compatible). My custom Jupyter token did not work, and they did not know why. They auto-generated Jupyter token even though I specified my own with a properly set env. variable. The SSH tunnel option did not work... the machines refused SSH connections. I got disconnected after a mere hour of working because the PC (which it was, with a GPU that had an actual fan - meaning: retail hardware, not a proper datacenter GPU, double-check please if you are not violating NVIDIA's hardware licensing agreements by hosting retail hardware like that, in a mock-datacenter fashion). Anyway, I pressed "report this machine" button and it went up again soon, so I did not suffer any data loss (maybe the PC's Jupyter notebook server or other system server simply went down, which the website reported in a very hysterical manner that the machine was "no longer part of their network"). A notch better SLA than an anonymous proxy, because you have actual tech support. Extra star given for the CUDA driver compatibility tests that I managed to conduct (the info provided on each server is very detailed, e.g. on max CUDA version). I hope these are just budding problems, and they will get better soon! Update: I've tested also the Interruptible instances. Waited until I got outbid (for cheapest instances it happens after an 1 hour or so). Then tried to transfer the data out from the stopped instance (you pay for storage of non-running instances precisely for that reason), using the Copy functionality (having spinned up another instance as target). It failed with "Invalid input format" error - I had a text file (JSON) and a binary file (a JPEG). So don't choose these instances if you value your data until such bugs are fixed - if you get outbid, you won't be able to access your data anymore (unless you wait for it to be returned by the person who outbid you, which I did). Update: I was unable to make my containers work with their service, because of non-standard execution mechanisms (these containers work perfectly under both docker and k8s). They still kept charging me even though I could not log in. I subtracted 1 star for being unable to withdraw my money (you have to pre-pay at least 5 USD - I paid 10 - and there is no self-service way to get the unused balance back). I subracted one more start for the age of this service. I've found out that it is now ... 5 years old and it's still full of bugs ("Piotr Inny 15 października, 2018 | 8:26 am Ta usługa to faktycznie beta, niestety pełna bugów."

Cheap and usable Cheap and usable, can't ask for more. Only downside is expensive data transfer charges. Otherwise fine.

Livechat is lacking, servers are good but a lot of waiting time The computation power is there, and is good, your server wont crash and it will work well, however there's a bit of shortage since a lot of times you cant use your own server because the gpu is being used by another user, and while you wait for it to be avayable you are still getting billed for the storage. At start, I had a terrible experience where some misleading text would lead to some unexpected payments, but finally the support team realised the mistake and refunded the full amount, so I'm OK with that. Is vast.ai worth it? If you don't mind waiting for your turn while paying storage and also can get thru the misleading text, servers arent bad...

Wanted to ask something related to the… Wanted to ask something related to the machine specs I rented and reached out via the online chat. Super fast response from Jake and addressed my queries in no time. 5 stars customer service!