Not necessarily. It looks like the GPU utilization is at 38%.
I’ve seen some weird behavior in nvidia-smi: sometimes showing all processes, sometimes not showing any processes at all on certain servers.
Could you use @alwynmathew’s suggestions to check if CUDA is available?
If so, check if your data (, model parameters, target) is on the GPU using print(tensor.device).