Edward,
I tried these commands and the changes were successfully executed with appropriate response from nvidia-smi. There was, however, no change in performance:


with-no-load (deep learning only): 42 seconds


with-load (deep learning AND crytomining): 17 seconds


Is it possible that the GPU needs to be operating at a minimum speed before it shifts into a higher speed?
I keep doing this and keep getting the same results. Why wouldn’t I be getting better performance running less on the GPU? Seems weird that I have to spin up a seemingly unrelated gpu intensive process (crypto mining), before getting peak performance from my deep learning models.
There must be something in the crypto mining code to boost performance or something in the fast.ai 1 library that is limiting performance. Is there standard Pytorch benchmarking code I might use to narrow this down?
Thanks again for helping on this.
Bryan