Our GPU machines
Specs GPU Machine for deep learning — that we use for Deep Learning work and research!
CASE:
MOTHERBOARD:
CPU:
CPU COOLER:
POWER SUPPLY:
SSD DRIVE:
MEMORY:
— — — — -
older model 2017:
CASE:
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PROCESSOR:
https://www.amazon.com/gp/product/B07598VZR8/ref=od_aui_detailpages00?ie=UTF8&psc=1
MOTHERBOARD:
https://www.amazon.com/gp/product/B07638ZKSD/ref=od_aui_detailpages00?ie=UTF8&psc=1
MEMORY:
https://www.amazon.com/gp/product/B07193NPDN/ref=oh_aui_detailpage_o00_s00?ie=UTF8&psc=1
SDD:
https://www.amazon.com/gp/product/B01L80DH1Y/ref=oh_aui_detailpage_o00_s00?ie=UTF8&psc=1
HDD(s):
https://www.amazon.com/gp/product/B01LOOJBQY/ref=oh_aui_detailpage_o00_s00?ie=UTF8&psc=1
Power supply:
https://www.amazon.com/gp/product/B017HA3RGE/ref=od_aui_detailpages00?ie=UTF8&psc=1
CPU cooler:
https://www.amazon.com/gp/product/B00A0HZMGA/ref=oh_aui_detailpage_o03_s00?ie=UTF8&psc=1
Total: ~2000$ without GPUs. About 1/2–1/4 of the price of: https://lambdal.com/deep-learning-devbox
—
Older model 2017:
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OLDER model 2016:
- Processor — Intel core
- i7 6850K
2) Case — Corsair Obsidian 750D
3) Motherboard — MSI X99A
4) PSU — EVGA 1600W
5) Memory — Kingston 64 GB
6.1) Primary Storage — Samsung 950 PRO 512 GB- We need a large and fast primary disk to store the data and feed the GPUs.
6.2) Secondary storage — HGST 4TB — We have the two of these in each mcahine
7) CPU cooler — Corsair H80iV2
8) GPU — GTX 1080 or Titan X latest models — 4 of these.
Approximate cost: about $6000 with Titan X GPUs, $4000 with GTX 1080 or below.
About the author
I have almost 20 years of experience in neural networks in both hardware and software (a rare combination). See about me here: Medium, webpage, Scholar, LinkedIn, and more…
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