Hello all, I’ve some experience in building DL models using Tensorflow in Unix environments leveraging on platforms such as AWS and GCP. My work/company also provides me with Unix servers to build my models.

Now that I want to build my own DL rig, on Windows no less, I am interested to know about performance degradation on Tensorflow of a GPU that is shared with the host OS. Anyone has any experience in this?

PS. I have no choice but to use Windows, much as I would prefer a Linux system.

TLDR; Want to do deep learning on GPUs on Windows, worried whether the host OS sharing the GPU will affect performance much, using Tensorflow.