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According to the website ( https://vectordash.com/hosting/ ) they use a highly isolated Ubuntu image, so the person hosting the service shouldn't have access to the VM with your model or data on it. It would be nice if there was some third party audit of the software though, the models, the code, and even the training data can be pretty sensitive for researchers.
there is no way to "highly isolate" a VM from a host.
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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/
Please (OP, and others allowing access to your machines), be cautious on this front. While LXC unprivileged containers are a start at isolation, LXC containers + GPU passthrough has a much, much larger attack surface (the nvidia binary blob drivers are complex and out of your control). The most common ways of giving GPU access to a container involve installing the CUDA drivers in the host and simply allowing the cont…
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 security a bit more in depth? (if yes, I'll shoot you an email)
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!
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Please (OP, and others allowing access to your machines), be cautious on this front. While LXC unprivileged containers are a start at isolation, LXC containers + GPU passthrough has a much, much larger attack surface (the nvidia binary blob drivers are complex and out of your control). The most common ways of giving GPU access to a container involve installing the CUDA drivers in the host and simply allowing the cont…
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…
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…
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there is no way to "highly isolate" a VM from a host.
But there is (though I think they don't use it): TPM based host attestation.
https://web.archive.org/web/20170604013028/https://rol.im/se...
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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 :)
This looks awesome, I just submitted a hosting application. I only have a single GTX 1060 on a Ryzen board, but I only use it 3-4 hours per day and I'm good with its downtime being used for passive income. Hopefully someone will find it useful. One question, I noticed you only pay in crypto right now, do you plan to offer USD or other fiat currencies in the future? Crypto isn't a problem for me (I don't mine crypto m…
While something like Stripe Connect may be useful, the fees are unreasonable for smaller transactions. A quick hack to cash out to crypto is to use your Coinbase wallet address as the payout address, and just sell off the crypto the moment it hits your wallet.
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!
This is awesome. Is it necessary that the PC remain fully online throughout the day? I wouldn't mind putting my PC out there but sometimes when I get back from work my modem or router has crapped out and I need to restart things (not the PC), and I've been told it's a few thousand (over 3, actually) to wire up the house with Ethernet so I live with the status quo for now
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 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.