Timeline for Deep learning machine with largest number of gpu and xeon cpu sockets
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 18, 2016 at 14:57 | comment | added | Raymond Ogunjimi | True! I just thought I would mention it, so he will know, that he will not be able to enjoy all the advanteges of all the cards. | |
| Aug 18, 2016 at 14:18 | comment | added | comicurus | "you will not be able to run all the graphics cards in SLI" Since we are talking of deep learning, I think we dont't care about SLI/CrossFire here (I might be wrong). Actually, even when you are developping using CUDA for GPU computation, you can't use SLI advantages. | |
| Aug 12, 2016 at 17:51 | review | Late answers | |||
| Aug 12, 2016 at 18:07 | |||||
| Aug 12, 2016 at 17:36 | history | answered | Raymond Ogunjimi | CC BY-SA 3.0 |