可以在vGPU配置文件上运行TensorFlow吗？

大家好，
我有一些问题，你们可能知道答案。
我阅读了文档，但我还不确定。
开发团队中有一些人正在为TensorFlow（AI项目）寻找GPU。
我们对在工作站和Dockers上运行的Quadro GPU进行了一些测试，但是这个过程耗尽了GPU，并且对于需要GPU的其他容器来说也很慢。
1  - 我可以在vGPU配置文件上运行TensorFlow吗？
我们的想法是让一个v100（或其他你可能推荐的）与2个虚拟机共享。
因此，VM不能耗尽GPU的资源，因为它只有“半”GPU。
那可能吗？
2  - 如果没有，P40卡有4（4）个GPU。
如果我在ESXi上安装此卡，使用passthough，我可以为每个VM安装一个GPU吗？
4个虚拟机，每个1：1 GPU用于P40。
2.1  - 这种情况我需要Nvidia许可证吗？
开箱即用，对于这种情况还有其他方法吗？



以下为原文

Hello guys,

I've got some questions that you guy may know the answer. I read the docs but I'm not sure yet.

There are some guy from the dev team that are looking for GPU for TensorFlow (AI project). We did some tests on Quadro GPU running on the working station and Dockers, but the process exhausts the GPU and make it slow for other containers that require the GPU as well.

1 - Can I run TensorFlow on vGPU profiles? The idea is to have a v100 (or other that you may recommend) shared with 2 VMs. So VM cannot exhausts the resource from the GPU, because it would have only "half" GPU. Is that possible?


2 - If not, the P40 card has 4 (four) GPUs. If I install this card on ESXi, using the passthough, can I have one GPU per VM? 4 VMs, each 1:1 GPU for P40.
2.1 - Do I need Nvidia license for this scenario?

Thinking out of the box, is there any other approach for this situation?