A GPU is strongly recommended for training deep learning models. Training performance on a GPU can be up to 20x faster than on a CPU, and can shorten training time from weeks to hours.

Below is a list of recommended GPU options:

Basic Mid-Range Performance High-End
GeForce GTX 1060 x
GeForce GTX 1070 x
GeForce GTX 1080 x
Quadro P4000 x
GeForce RTX 2060 x
GeForce RTX 3060 x
GeForce RTX 4060 x
GeForce RTX 4060 Ti x
GeForce RTX 4070 x
GeForce RTX 2070 x
GeForce RTX 3070 x
Quadro RTX 4000 x
GeForce GTX 1080 Ti x
Titan Xp x
GeForce RTX 2080 x
GeForce RTX 3080 x
GeForce RTX 4070 Super x
GeForce RTX 4070 Ti x
GeForce RTX 4070 Ti Super x
GeForce RTX 2080 Ti x
GeForce RTX 3080 Ti x
Quadro RTX 6000 x
Titan RTX x
Titan V x
Tesla V100 x
GeForce RTX 4080 x
GeForce RTX 4080 Super x
GeForce RTX 4090 x

Below is chart of benchmark comparisons between various cards. The red bar is most relevant to deep learning training performance.




A GPU is also recommended for applying deep learning models. Application performance on a GPU can be up to 20x faster than on a CPU.


Since applying often takes seconds, compared to hours for training, a CPU can more reasonably be used if necessary. Please refer to the general System Requirements for more information on CPU requirements and recommendations.

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