Deep Learning Workstations
From Robin
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- For the Dell systems, first shrink the main NTFS partition to allow an Ubuntu system partition. | - For the Dell systems, first shrink the main NTFS partition to allow an Ubuntu system partition. | ||
- The shared (spinning) disk can stay as NTFS. | - The shared (spinning) disk can stay as NTFS. | ||
+ | - Ubuntu 17.10 is ok for Deep Learning / how about for robotics applications? | ||
+ | - need CUDA and CUDnn for GPU accelerated deep learning. |
Revision as of 14:11, 9 January 2018
Deep Learning Workstations
We have shared workstations for projects needing serious GPU and CPU power while retaining physical access to a computer.
Most interesting are the four Dell Alienware computers from January 2018, here are their details and responsible staff for ongoing record keeping:
- Aurora R7 - Intel i7 8700K (6-core), 2x Nvidia GTX1080ti (UiO: 113616). Justas/Zia/Weria
- hostname:
- URL:
- WLAN: D8:9E:F3:7A:84:B7
- ETH: 9C:30:5B:13:AF:33
- Aurora R7 - Intel i7 8700K (6-core), 2x Nvidia GTX1080ti (UiO: 113615). Charles/Kai/Tønnes
- hostname:
- URL:
- WLAN: D8:9E:F3:7A:7E:D1
- ETH: 9C:30:5B:13:C5:69
- Aurora R7 - Intel i7 8700K (6-core), 2x Nvidia GTX1070ti (UiO: 113617). Vegard/Masterstudenter
- hostname:
- URL:
- WLAN: D8:9E:F3:7A:46:08
- ETH: 9E:30:5B:13:C5:8B
- Area 51 R3 - AMD Threadripper 1950x (16-core), 1x Nvidia GTX1070ti (UiO: 113614). Jørgen etc.
- hostname:
- URL:
- WLAN: 9C:30:5B:13:C5:71
- ETH1: 30:9C:23:2A:EB:39
- ETH2: 30:9C:23:2A:EB:38
We also have older workstations:
- Deep Thinker: Intel..., 2x Nvidia GXT1080. Charles/Justas/Masterstudenter
- hostname: deepthinker
- url: deepthinker.onthewifi.com
Setting up the workstations
As a rule, shared systems should be able to dual-boot between Windows 10 and Ubuntu.
- For the Dell systems, first shrink the main NTFS partition to allow an Ubuntu system partition. - The shared (spinning) disk can stay as NTFS. - Ubuntu 17.10 is ok for Deep Learning / how about for robotics applications? - need CUDA and CUDnn for GPU accelerated deep learning.