Choosing between GeForce or Quadro GPUs to do machine learning via TensorFlow

Question

Is there any noticeable difference in TensorFlow performance if using Quadro GPUs vs GeForce GPUs?

e.g. does it use double-precision operations or something else that would cause a drop in GeForce cards?

I am about to buy a GPU for TensorFlow and wanted to know if a GeForce would be ok. Thanks and appreciate your help

Answer 1

Nvidia’s Geforce Titan is widely used in industry for deep learning and video processing tasks. It is more precise in most cases. More detail on the performance of the GTX line (currently GeForce 10) can be found in Wikipedia, here.

Nvidia’s Quadro GPU isn't for scientific computation, you can use Tesla GPUs for that.

Quadro cards are designed for accelerating CAD, so they won't help you to train neural nets. They can probably be used for that purpose just fine, but it's a waste of money.

So I suggest using GeForce Titan over Quadro for deep learning. It's being commonly used in industry for deep learning They are really fast and precise.

Hope this answer helps.

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