Samin100

10 ms·

61.
by Samin100 9y ago
Also much better than calculating the inverse of hash functions!
62.
by Samin100 9y ago
This website has a pretty good calculator: https://whattomine.com Just replace your miner earnings with the earnings listed on http://vectordash.com/hosting
63.
by Samin100 9y ago
You can list your computer for as long as you like! It's up to the ML/AI researchers to decide which machines they want to use based on the specs they see, and for how long.
64.
by Samin100 9y ago
I was thinking about paying out in fiat, but crypto is so much easier because of no fees, instant transactions, and not having to deal with various currencies. While something like Stripe Connect may be useful, the fees are unreasonable for
65.
by Samin100 9y ago
This is a very, very valid point. I'm going to mention this on the website & even advise people to run the client on an isolated machine (instead of their daily driver gaming rig). Thank you for pointing this out. Also, one of my f
66.
by Samin100 9y ago
Thank ya! Plus the way it's setup right now, you don't pay for anything until you done and satisfied with a session! I just want both parties to be happy with the GPU compute transaction :)
67.
by Samin100 9y ago
If your training data is sensitive, then Vectordash may not be the best GPU provider. But if you're a broke CS student like me who wants to participate in a few Kaggle competitions (after having burned up their AWS student credits in 3
68.
by Samin100 9y ago
LXC unprivileged containers are actually pretty secure by design. The Canonical LXC page does a pretty great job of explaining why: https://linuxcontainers.org/lxc/security/
69.
by Samin100 9y ago
It's pretty much letting people with GPUs become a sort of 'mini-cloud provider'. There's no job queue or fancy distributing computing setup. We just let you SSH into a container on someone's computer, and pay for t
70.
by Samin100 9y ago
Creator of Vectordash here! If you have any questions about the platform, feel free to ask away! P.S. I'm @samin100 on Twitter if you enjoy tweets about GPUs!