Yes, I was concerned about other training processes. However, I agree with your answer.
About the Nsight System, I could not check it yet. My server has two GPUs, and I have to schedule a job to run a process. However, if I use these two GPUs to train the model, it is not possible to execute another job for the Nsight System.
However, I am processing the data before feeding the model. If this process executed by the CPU is the bottleneck, Is there something I can do (e.g., increasing the number of workers in the DataLoader)?