Cheap Rigs for Machine Learning

The GPU is going to be the hard part. The computers themselves could probably be gotten on Craigslist from businesses purging old workstations. That's a reliable source of machines for pretty much any practical use.

>>61491602
Surplus is an interesting idea, thanks for sharing. After doing a bit more reading, I've found out that Android actually supports Torch (the machine learning library I'm using), so used phones are also an option. There's a precedent for this kind of thing, since droids have been used for research in the past.

What's the dev environment like on Android?

File: 1499437000996.jpg (30KB, 521x278px) Image search: [Google]

30KB, 521x278px

>>61491573
I would have recommended the fury if your dataset will fit in 4GBs of RAM, it has some freakish compute for 250 bucks...
Assuming the mining crisis hadn't emerged.

File: 1500227131027.jpg (94KB, 738x940px) Image search: [Google]

94KB, 738x940px

>>61491573
what ML r u doin fämäläm

Agree with buying an old workstation. Dual xeons on old sockets can be had cheap. Get an older Nvidia GPU if you can.

File: tmp_2421714949578718601591885308.gif (280KB, 384x216px) Image search: [Google]

280KB, 384x216px

Im just interested, what will your code learn?

>>61492404
Text-based stuff. End goal is to have a bot that can write & recite hip-hop. That plus a library of beats should make for a pleasant 24-7 music service.

Working mostly off the code here:
https://github.com/karpathy/char-rnn

Wrote my own scripts to mine websites for lyrics, and I'm currently playing with ways to make the text-to-speech rap on beat.

If this ever gets fully realized, I'll come back and share the results.

>>61492322
What exactly is "the fury"? I'm behind on hardware, sorry.