why Nvidia A100 GPUs slower than RTX 3090 GPUs?
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Hello, we have RTX3090 GPU and A100 GPU.
Using the Matlab Deep Learning Toolbox Model for ResNet-50 Network, we found that the A100 was 20% slower than the RTX 3090 when learning from the ResNet50 model.
The questions are as follows.
1. I heard that the speed of A100 and 3090 is different because there is a difference between the number of CUDA cores and the number of Tensor cores, so can only use Cuda cores for Matlab?
If you can use it, I would appreciate it if you could send me a link if you have an example site using Tensor core.
2. You can specify single inference, double inference, and half inference methods when learning GPU. I heard that Matlab uses double inference automatically, so please check if it is the correct answer.