can't wait to buy these in bulk from underwater miners, gonna build a home machine learning station
Can't wait to buy these in bulk from underwater miners, gonna build a home machine learning station
Easton Green
Other urls found in this thread:
voca.ro
github.com
twitter.com
Joseph Walker
I use onboard GPU for like 90% time, keep dedicated one on the shelf as I do not use it most days
Each new gen needs special GPU less and less
Jackson Lopez
Its going to be class being able to get a GPU for normal prices again. I'm still using a 1070ti ffs.
Jason Cook
i was training a tts voice with waveRNN and tacotron 2 on my old 1080ti, took more than a week of nonstop training. if i can get my hands on a few 3090s i can increase the batch size and train in parallel, the dream would be to get it down to a day or so for one voice
Lincoln Lopez
user what the fuck are you talking about? You physically remove the GPU from your PC on the reg, because reasons? Why? What the fuck.
Kayden Lopez
What does a home machine learning station even mean?
Is this just shit software engineers say to sound cool and that what you're doing is basically completely pointless and is infact something that needs to be done with a team of 1000s of people much smarter than you, but you're very smart and do it at home by yourself of course
Christian Anderson
>blocks your path
Gavin Ortiz
Turn your mining rig into a home DALL-E instance instead of mining shitcoins.
Daniel Martinez
Wen?
I need an upgrade, been waiting for a long time.
Ethan Morales
it's like building a NAS except instead of hoarding porn you're hoarding AI data.
Jose King
Cope, brainlet.
Charles Jackson
I have a 3090, what cool shit can I do with it?
And how to get into it?
Ian Sullivan
read my reply, i like to train models at home
Camden Davis
this is a trump voice i made from 20 minutes of audio samples, tacotron 2 finetuned for 35k steps from a pre-trained ljspeech model at 185k, and then trained wavernn vocoder for 660k steps. it's not perfect because not enough audio data samples, it takes ages to cut and transcribe the data and it's boring, and i stopped training the vocoder early because it was so slow so its still a bit noisy. but decent result.
Jonathan Davis
How to get into that? Sounds interesting and fun. Like how do I get started?
Ayden Walker
im a software developer so i just looked at the github repo and went from there, not sure how much knowledge you have already so if not much maybe start with some youtube tutorials
the repo i used is github.com
Liam Baker
That’ll probably just affect next gen. Current gen cards are already selling for under MSRP used.
Cooper Wright
>home machine learning station
what dataset are you using?
i have 100,000 pepe dataset but my gpu is too shit to train a large model. i want train something like stylegan
Blake Ramirez
What do you use to tie together multiple machines and treat them as if they’re one big GPU machine? Apparently Beowulf clusters don’t work well for this sort of thing.
Noah Allen
i make my own datasets, usually cut from speeches or movies, like for trump it was easy because you have a lot of high quality speeches and transcripts already available
most of the work is cleaning, cutting, labelling, normalizing audio
Carson Ross
>not sure how much knowledge you have already so if not much maybe start with some youtube tutorials
any you can recommend?