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GPU recommendation for Deep Learning and AI

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Mariusz Pietrzyk
Mariusz Pietrzyk on 5 Aug 2019
Commented: Walter Roberson on 28 Dec 2019
Hi, I would like to invest in a NVIDIA GPU to faciliate the deep learning / AI work with Matlab. I considering Tesla V100 32Gb and Quadro RTX 8000 48Gb. Your feedback would be greatly appreciated. Kind regards,

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Abolfazl Nejatian
Abolfazl Nejatian on 28 Dec 2019
Dear Mariusz,
i have install Tesla V100 in my server last week and run gpuBech.
i hope results are usful for you.
System Information
OSTypeLinux
OSVersionbuildd@lcy01-amd64-023
Name:2 * Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz
MATLAB Release: R2019b
GPU
NameTesla V100-PCIE-32GB
Clock1380 MHz
NumProcessors80
ComputeCapability7.0
TotalMemory31.75 GB
CUDAVersion10.1
DriverVersion430.50
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Answers (1)

Joss Knight
Joss Knight on 5 Aug 2019
The Tesla V100 is a passively cooled device only suitable for servers. Is that available to you? The Quadro card you indicate is mainly good for serious workstation graphics and rather overpriced for compute. Generally the Titan RTX would be your best bet for deep learning workflows, or a GeForce GTX 2080 for something slightly cheaper.

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