why Nvidia A100 GPUs slower than RTX 3090 GPUs?
51 vues (au cours des 30 derniers jours)
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.