Hello course mates,
I’m building a home desktop server for deep learning, to avoid costs in the cloud in medium/long term.
I have chosen to buy 3x GTX 1070, which seem nice in terms of cost/performance, but I’m not sure about a detail: does having a motherboard which allows the 3 graphics card to run in PCIe 3.0 x16 make a real difference? The reason I ask this is that I can get a very decent asus motherboard for having the 3 cards, but it doesn’t allow them to run at x16 at all. Probably they will run at x4 or x8 (not sure)… Can I expect a huge decrease in performance?
Thanks in advance for any feedback!
And thanks Jeremy for the hard work in the course!
I’d suggest participating in the home server thread on the #part1 forum, since this has been well covered there. BTW it’s probably better to buy 1-2 1080ti’s instead of 3 1070’s.
@Jifu I was lurking in the home server thread myself, and I looked at a few blog posts (@brendan’s, Tim Dettmers’). Folks have put up their DL system builds on PCPartPicker. These resources can keep one busy for a week!
Two things I took note of (for when and if I try to make a home box) was (a) make sure the motherboard has enough widely spaced PCI slots (16lanes) to support adding more GPU’s later and (b) amortize GPU cost by waiting for next version while you picking enough skills to make effective use.
@Gerardo I was able to install it on Win10 Enterprise (ver 1607, build 14393.xx ). Any build above this should work I guess?
Bash is running, I haven’t installed Anaconda etc via command-line yet.
I’m totally confused by the Pro/Anniversary/Enterprise names after googling for a day!
I got this error going into Developer mode, this seems to be well documented, and not a dealbreaker. Developer Mode fails with error code 0x80004005
This was the most detailed description of WSL I saw, valid for more than just the Server version.
Even if someone uses the Ubuntu inbuilt in windows, they might not be able to install PyTorch or will have problem in doing so…
So we are better done with a dual boot or Any cloud computing…
AWS or Paperspace or other cloud solutions are needed by people who don’t have enough juice on their laptops or systems to make a DL program run/‘train’ in a short enough time period.
I think your rig might even be faster than what the current AWS Instances have to offer(not sure about the P3 ones, they might be a little better).
