Possible to virtualize NVIDIA GeForce GTX 1070 Graphics Card for Distributed Tensorflow?

Question

I am running Windows 10 on Intel Core i7-8700 CPU with 16 GB RAM, 1 TB HDD and dedicated NVIDIA GeForce GTX 1070 graphics card.

I plan to launch 3 Ubuntu instances hosted by my Windows 10 PC. The Ubuntus will be running Distributed Tensorflow (tensorflow-gpu) code, that will using GPU for training a Neural Network. (to mention, already I've tried the setup on Windows but failed)

Q. Shall my NVIDIA GPU be virtualized among those Virtual Machines or Not?

• If YES, then is there any further configurations required to make this happen?

• If NOT, then is there any suggestions to build such experimental environment for Distributed Tensorflow?

N.B.

• I have read this post saying VMs can not pass through host GPU, specifically on Windows for CUDA. But is there any recent information available, ideally from NVIDIA side?

• Can anyone share some how-to follow in order to (possibly) virtualize GPU inside ESXI setup on Windows? Like there are several people talking here that its possible and done, although not officially supported by NVIDIA.

• Alternatively, has anybody successfully implemented this suggested solution for GPU pass through on Debian-based system?

Thanks.

Answer 1

I would consider @jdehesa's answer as for now there seems no way to virtulize GPU on Windows for Tensorflow. Thanks to @jdehesa