GPU是否可以在Azure云服务辅助角色中使用？
[英]Is GPU available in Azure Cloud Services Worker role?
问题描述
Coming from AWS , I am completely new to Azure in general and to Cloud Services spesifically. 
来自AWS的我对Azure尤其是Cloud Services完全陌生。
I want to write a python application that leverages GPU on Azure in a PaaS architecture (Platform as a Service). 我想编写一个在PaaS体系结构（平台即服务）中在Azure上利用GPU的python应用程序。 The application will hopefully be deployed somewhere central, and then a number of GPU enabled nodes will spin up and run the application until it is done before closing down again. 希望该应用程序将部署在中央位置，然后，多个启用GPU的节点将启动并运行该应用程序，直到完成操作，然后再次关闭。
I want to know, what is the shortest way to accomplish this in Azure? 我想知道，在Azure中完成此操作的最短方法是什么？
Is my assumption correct that I will need to use what is called Cloud Services with a worker role, or will I have to create my own infrastructure based on single VMs running in IaaS? 我的假设是正确的，我需要使用具有辅助角色的所谓的云服务 ，还是必须基于IaaS中运行的单个VM创建自己的基础架构？
1 个解决方案
解决方案1
1 2017-06-23 07:23:06
It sounds like you created an application which need to do some general-purpose computing on GPU via Cuda or OpenCL. 听起来您创建了一个应用程序，需要通过Cuda或OpenCL在GPU上执行一些通用计算。 If so, you need to install GPGPU driver on Azure to support your Python application, so the Azure NC & NV Series VMs are suitable for this scenario like on AWS, as the figure below from here . 如果是这样，你需要在Azure上安装GPGPU驱动程序来支持您的Python应用程序，所以在Azure NC＆NV系列的虚拟机都适合这个场景就像在AWS上，从下图这里 。
Hope it helps. 希望能帮助到你。 Any concern, please feel free to let me know. 如有任何疑问，请随时告诉我。
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