Is this configuration good for running the system 24/7/365 with 100% load?

sharathc

Junior Member
Sep 19, 2014
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I have a desktop system with the following configuration. Am planning to use this as a dedicated computing or number crunching resource for my SETI@Home, Einstein@Home, the Pogs... projects with their OpenCL-optimized binaries which will utilize GPU/CPU for number crunching and am planning for 24/7/365 utilization (strictly no games/overclocking/other activities). Does this configuration withstand the 24/7/365 load? Any recommendation / suggestion / feedback for improvement is highly welcome.

The desktop configuration is as follows:

Motherboard: Gigabyte GA-B75M-D3H
CPU - Intel 2.9 GHz LGA 1155 G2020 (with stock heatsink/fan)
RAM - Corsair Vengeance DDR3 4 GB (with stock heatsink)
PSU - Corsair VS550 550 Watt
GPU - Sapphire AMD/ATI Radeon R9 270X with Boost OC 2 GB Dual-X
SDD - Kingston SV300S37A 60GB Internal
Other HDD/Optical Drives - --Not Installed--
OS - Microsoft Windows 8.1 Pro x64

All these housed in a Cooler Master Elite 311 Mid Tower cabinet (with stock cabinet fan).

-- Sharath
 
Last edited:

Seba

Golden Member
Sep 17, 2000
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Unless you already have those components, there is is no point to buy a LGA 1155 PC. Go for a similar LGA 1150 build (with a Pentium Haswell).

Also, there are better SSDs than Kingston V300. Like Intel 520 or Intel 530 or Crucial M500. And buy a 120GB SSD.

I prefer Seasonic power supplies.
 

sharathc

Junior Member
Sep 19, 2014
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Thanks Seba for the reply and for your recommendations. I have already purchased and assembled the components for use. It is waiting to be turned on for the first time ;) Am just curious whether this configuration can withstand the endurance am anticipating for my purpose.
 

mfenn

Elite Member
Jan 17, 2010
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www.mfenn.com
It's hard to say what the life span of any given computer will be. The parts you used are all quality parts from reputable manufacturers, so you should have some expectation that they will last a while.

If I were to hazard a guess, I would say that the GPU will die first if it is heavily used for compute applications. Consumer GPUs are not designed to run heavy compute loads indefinitely.