Re:Deep Learning Benchmarks
by narrator on Friday March 04, 2016 @01:15PM
(#11225682)
Too bad Tensorflow Cuda only works with the top of the line NVIDIA cards that cost over 1k.
[ Parent
| on HN ]
Not true, works on GTX 750ti out of the box which is currently around $130
Re:Deep Learning Benchmarks
by jimfleming on Friday March 04, 2016 @01:20PM
(#11225728)
Can you expand on that? As far as I'm aware that's not true (anymore). It runs quite fine on AWS which uses older NVIDIA cards and I know several people use it on older-gen GPU-enabled MBPs.
EDIT: clarification
https://www.tensorflow.org/versions/r0.7/get_started/os_setu...
I guess the cards listed there are not an all inclusive list?
In my experience, the architecture supports cards with shader model >= 3.0. Occasionally a commit will break the support (eg https://bitbucket.org/eigen/eigen/commits/a19653b8035d8ace53... was required earlier this year) but this is a function of the speed of development and usually straightforward to fix.
Yeah, those are just cards we know that work: we don't have all possible GPUs to test our 20+ changes a day on, so we can't formally guarantee it will work on older cards, but in general we try our best to keep it all working for older and even newer cards.
Maybe a "reported to work but not guaranteed" section is in order.
Keeping that up-to-date and useful is as hard as keeping benchmarks in Deep Learning up to date ;)
Re:Deep Learning Benchmarks
by jimfleming on Friday March 04, 2016 @02:27PM
(#11226245)
From that page:
> Supported cards include but are not limited to[...]