Maybe I misunderstood the term utilization. Are you referring to the allocated GPU memory or the utilization of the GPU, i.e. in terms of computation?
After the first CUDA call, your GPU should have some used memory. Could you check it on your Windows machine with print(torch.cuda.memory_allocated())?