I would like to train YOLO v4 model using TAO Toolkit. I read on the Nvidia website that it requires a discrete GPU, such as A100, A40, A30, A2, A16, A100x, A30x, V100, T4, Titan-RTX and Quadro-RTX.
I have an RTX 2080, I was wondering if I can run it on my system as I do not have access to those GPUs that are listed there.
Here is the link that I read:
https://docs.nvidia.com/tao/tao-toolkit/text/tao_toolkit_quick_start_guide.html
There is no update from you for a period, assuming this is not an issue anymore.
Hence we are closing this topic. If need further support, please open a new one.
Thanks
Sure, it can.
For training, actually at least 1 NVIDIA GPU is available and make sure its compute capability is equal or higher than 6.1. You can check the dgpus and compute capability in CUDA GPUs | NVIDIA Developer
For deployment, all Jetson products are supported. And all dgpus which have compute capability equal or higher than 5.3 are supported.
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