CPU/GPU Architecture Recommendation
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I'm the IT guy for someone running Matlab. He's primarily focused on the deep learning toolbox as I understand. Unfortunately I'm not sure how well his code is optimized, or really anything about it. I'm trying to build him a much beefier pc as his current model takes 12 hours to run. I put him temporarily on a 5 year old xeon with a GTX 1060 card and it dropped to 8 hours. What I'm trying to figure out generally is what is the best hardware lines to put him on without knowing much about what he's running.
For a CPU i9-9940x or a Intel Xeon Gold 6230
For a video card, a RTX 2080 or a RTX Quadro 5000.
Does either line in each case have something about it that would make it better in general for MATLAB over the other? Sorry for the lack of details, this is more of a general architecture question rather than a specific use case scenario.
Thanks.
3 件のコメント
Walter Roberson
2020 年 4 月 17 日
Extra video is important because there are a lot of Nvidia that do not support remote access computing through a remote desktop connection. The ones that do support remote access support TCC https://docs.nvidia.com/gameworks/content/developertools/desktop/nsight/tesla_compute_cluster.htm but a device in TCC does not support local graphics even for console.
回答 (1 件)
Joss Knight
2020 年 4 月 16 日
For Deep Learning the RTX 2080 is a good choice.
4 件のコメント
Joss Knight
2020 年 4 月 17 日
At this point I'd just be reading the specs for you and guessing at what's important for your purposes. Basically go for the highest single precision TFLOPS you can afford, the largest memory you can afford.
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