Description

New desktop pc for work. -The corsair Vengeance ram is too high to fit under the Wraith Ripper(it stil works but is not optimal placed). +The NZXT is big enough to fit the Wraith Ripper

Comments

  • 11 months ago
  • 2 points

That cooler is a blunt force weapon lol.

  • 11 months ago
  • 1 point

I've never seen one in a build it looks pretty amazing.

  • 11 months ago
  • 1 point

Looks really good. I think white builds with just a small hint of rgb are the coolest kind of build.

  • 11 months ago
  • 1 point

What do you think of mine? https://pcpartpicker.com/b/WYBbt6

  • 11 months ago
  • 1 point

Looks pretty good. Not the biggest fan of the white rgb but still looks really nice

  • 11 months ago
  • 1 point

You could overclock the Threadripper, but I would not void the warranty on a $870 CPU. xD

  • 11 months ago
  • 1 point

16 cores, 32 threads? Thats one bad *** machine!. Enjoy.

  • 11 months ago
  • 1 point

what is your work?

  • 11 months ago
  • 1 point

Why only 4 slot of ram used? better to use all 8 no?

  • 11 months ago
  • 1 point

Yes but the corsair vengeance RGB ram doesn't fit under the cooler (-;

  • 7 months ago
  • 1 point

Nice looking machine ;) Planning a similar build for Deep Learning. And need more than a single GPU for training.

Just worried, how close is the wraith ripper to the GPU in the first PCIe slot? I see the header cables protruding from it towards the bottom, are they in contact with the GPU’s backplate?

  • 6 months ago
  • 1 point

How much clearance do you have between your gpu and cpu cooler? It looks like they might be touching

  • 11 days ago
  • 1 point

Hi, i have the h510i and i am having trouble getting the mobo to match up with the standoff screws. Did you have a similar problem, if so how did you overcome it?

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  • 11 months ago
  • 2 points

Geekbench :P

  • 11 months ago
  • 1 point

Thanks. I wil use this PC for FEM analysis and fore yocto builds.

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  • 11 months ago
  • 1 point

No, but i am playing a litbeltit wit neural networks and therefore it is more interesting to ad a second(ore more :p) 2070 ore a 2060 if you want the most cuda cores for your money. http://timdettmers.com/2018/11/05/which-gpu-for-deep-learning/

  • 11 months ago
  • 1 point

The 2070 doesn't support sli or Nvlink.

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