How do I know if I will make a profit given electricity costs?
Just replace your miner earnings with the earnings listed on http://vectordash.com/hosting
41–50 of 129 posts
How do I know if I will make a profit given electricity costs?
Just replace your miner earnings with the earnings listed on http://vectordash.com/hosting
There's a lot of comments on that reddit thread about how awesome this would be as a service. But there's a big problem of trust with this for ML. How do I know you actually ran what I paid you for and not just generated random data that looks right in the shape I wanted it? You could farm it out to two people and if the results disagree, then payment is decided by a third. But then you've just doubled the (paid) wor…
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 the time used. I was doing a lot of fun deep learning projects on the side & would often Venmo my friend who was mining Ethereum to use his GPU to train my models. He made more and I paid less than AWS spot…
I had the same idea a few days ago - but in my head, the process would be wrapped up as a "cryptocurrency" where the AI researchers pay real money and the "proof of work" is useful/"real" work. I ran into 2 issues regarding trust: the first is that how do you verify that the hardware owner is running the real job an not NOOP'ing and sending false results? The second issue is how do you protect the hardware from malicious jobs? GPUs have DMA access - how do you stop task submitters from rooting your box and recruiting it into an AI botnet (for free)?I ended up dismissing the idea, but if you could work out these 2 issues, there's money to be made...
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!
That seems misleading ^^.
Earlier quoted context omitted.
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 friends working on this project is a sophomore in the CS dept at CMU, and given your interest in distributed systems & DL, would it be possible to meet up for a couple of minutes and discuss…
Happy to. Drop me a note.
GPUs are already too expensive for gamers and now you want to do this?!
AI research demand is a lot easier for AMD/Nvidia to project, which allows them to ramp up production and keep prices stable. Side note: AI research is more beneficial to society than running a few instances of Crysis 9 at 4K 120HZ.
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!
You mention "free unlimited bandwidth" on the homepage in a column named "1 TB transfer". A lot of people have upstreams in the order of 1MBit/s – with such speeds, uploading a TB would take 92 days. That seems misleading ^^.
There's a lot of comments on that reddit thread about how awesome this would be as a service. But there's a big problem of trust with this for ML. How do I know you actually ran what I paid you for and not just generated random data that looks right in the shape I wanted it? You could farm it out to two people and if the results disagree, then payment is decided by a third. But then you've just doubled the (paid) wor…
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!
I saw people on the Reddit thread saying the Ubuntu requirement was a showstopper for a lot of them. You might look into the Win 10 linux support, Ubuntu is one o the supported distros. Not sure if it would have full access to resources, have just used it a bit at work and setup was super simple.
He said it was on their list of most requested features, but refused give me a data on when it would be ready :/
Earlier quoted context omitted.
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 the time used. I was doing a lot of fun deep learning projects on the side & would often Venmo my friend who was mining Ethereum to use his GPU to train my models. He made more and I paid less than AWS spot…
> 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 the time used. I had the same idea a few days ago - but in my head, the process would be wrapped up as a "cryptocurrency" where the AI researchers pay real money and the "proof of work" is useful/"real" w…
Only real way to do this is run the job in a VM with a GPU and CPU+motherboard that support passthrough (read: not consumer NVidia GPU's, your CPU+board must support an IOMMU and your card cannot freak out when being reset after initialization).
There's a lot of comments on that reddit thread about how awesome this would be as a service. But there's a big problem of trust with this for ML. How do I know you actually ran what I paid you for and not just generated random data that looks right in the shape I wanted it? You could farm it out to two people and if the results disagree, then payment is decided by a third. But then you've just doubled the (paid) wor…
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 the time used. I was doing a lot of fun deep learning projects on the side & would often Venmo my friend who was mining Ethereum to use his GPU to train my models. He made more and I paid less than AWS spot…