Re:GPU Headaches: Notes on Installing CUDA, CuDNN and Tensor...
by alfalfasprout on Tuesday August 28, 2018 @05:59PM
(#17863309)
Any chance you can get MxNet (and Keras MxNet) in there?
Installing this stuff is a huge nuisance for us and we have some pretty insane Dockerfiles to handle all the different combinations. I might look into using this for our ML images.
Re:GPU Headaches: Notes on Installing CUDA, CuDNN and Tensor...
by mippie_moe on Wednesday August 29, 2018 @01:13AM
(#17865842)
I’ll talk to the team!
Re:GPU Headaches: Notes on Installing CUDA, CuDNN and Tensor...
by vokep on Tuesday August 28, 2018 @07:18PM
(#17863787)
...And then you take all my passwords right? Or mine some btc quietly in the background?
Seriously this is too cool and nice, theres no way you're so cool and nice, such people just don't exist! (really this is awesome, thank you)
Re:GPU Headaches: Notes on Installing CUDA, CuDNN and Tensor...
by mippie_moe on Wednesday August 29, 2018 @01:13AM
(#17865835)
Thanks for the positive feedback!
Our company used to run a cluster of ~1000 gpu servers for inference and training. We used caffe and torch. Provisioning and software maintenance was a huge hassle.
We realized how painful it is to get a machine set up for deep learning, so we decided to release our debian packages to the public.
We sell computers built for deep learning researchers and figure the more people we can help get started, the better :)
https://lambdalabs.com/lambda-stack-deep-learning-software
We wrote debian packages for every framework, including cuda and cudnn. Using our Debian repository, you can install all these frameworks using apt/aptitude.
When a new version of a framework comes out, we usually have it available in 1-2 weeks.