Deep Learning Workstations

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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 --

- Aurora R7 - Intel i7 8700K (6-core), 2x Nvidia GTX1080ti (UiO: 113615). Charles/Kai/Tønnes

- Aurora R7 - Intel i7 8700K (6-core), 2x Nvidia GTX1070ti (UiO: 113617). Vegard/Masterstudenter

- Area 51 R3 - AMD Threadripper 1950x (16-core), 1x Nvidia GTX1070ti (UiO: 113614). Jørgen etc. -- WLAN: 9C:30:5B:13:C5:71 -- ETH1: 30:9C:23:2A:EB:39 -- ETH2: 30:9C:23:2A:EB:38


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.

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