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Building a deep learning workstation
Podcast |
Practical AI: Machine Learning, Data Science
Publisher |
Changelog Media
Media Type |
audio
Podknife tags |
Artificial Intelligence, 
Business, 
Data Science, 
Interview, 
Machine Learning, 
Tech News, 
Technology
Categories Via RSS |
Software How-To, 
Tech News, 
Technology
Publication Date |
Nov 17, 2020
Episode Duration |
00:49:27
What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).
What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).

What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).

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Featuring:

Show Notes:

Daniel’s workstation components:

  • CPU - AMD YD292XA8AFWOF Ryzen Threadripper 2920X
  • CPU cooler - Noctua NH-U12S TR4-SP3, Premium-Grade CPU Cooler for AMD sTRX4/TR4/SP3
  • Motherboard - GIGABYTE X399 AORUS PRO
  • Memory - Corsair Vengeance LPX 16GB (2x 2 packs), total 64GB
  • Storage 1 - Samsung (MZ-V7S1T0B/AM) 970 EVO Plus SSD 1TB
  • GPU 1 - RTX 2080 Ti
  • GPU 2 - Titan RTX
  • Case - Lian Li PC-O11AIR
  • Power Supply - Rosewill Hercules
  • Case fan(s) - Coolmaster 8mm

Daniel’s NUC 9 Extreme machine

References:

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