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Need Nvidia GPU for CUDA programming / Machine Learning

I have an app that I'm developing that I want to accelerate the machine learning aspect of. I've done CUDA programming before, but that was on my personal desktop and I'm trying to migrate the app to a different system entirely.

I already have the machine for the app set up, all except for the GPU. Currently it's using it's iGPU for display, but I still want an Nvidia card for acceleration.


I was looking at the wiki page for comparing GPU gFLOPS, but this is really the only metric I can see that's comparable for ML applications.

Anyone know what I should try going for? Should I be trying to get some RTX card to get Tensor Cores? Do Tensor Cores truly make a difference for ML apps?

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