I am confused about CUDA compatibility. I am studying deep learning and looking for a laptop to buy. One laptop has GTX 1650ti and another has GTX 1650. Will both be able to use GPU for model training, or only second one?
I checked for gpu compatibility. On the nvidia website only gtx 1650 is mentioned. But on some other forums I read that both can work.
Category Data Science
Both can run CUDA to accelerate deep learning. Cards that end in "ti" are slightly better versions than their non-ti counterparts.
NVIDIA, the corporation that makes the 1650 and 1650ti cards, also develops CUDA. Only (and all) NVIDIA graphics cards currently support CUDA because it is proprietary.
However, because deep learning models are often limited by memory capacity, I recommend buying a card such as the GTX 1070, which is comparably priced but has 8GB of RAM.
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