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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:
Daniel’s NUC 9 Extreme machine
References:
Something missing or broken? PRs welcome!
4.4
2929 ratings
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).
Join the discussion
Changelog++ members get a bonus 1 minute at the end of this episode and zero ads. Join today!
Sponsors:
Featuring:
Show Notes:
Daniel’s workstation components:
Daniel’s NUC 9 Extreme machine
References:
Something missing or broken? PRs welcome!
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