在Azure中为GPU VM制定业务案例 [英] Making the business case for GPU VMs in Azure

问题描述

我最近在Azure上的NC6和NC6v3实例上运行了一堆数学建模应用程序.尽管易用性和可伸缩性非常好，但价格似乎过高，尤其是与非GPU VM产品相比时.

I've recently been running a bunch of mathematical modelling applications on Azure, on NC6 and NC6v3 instances. Although the ease of use and scalability are great, the pricing seems excessive, especially when compared with the non-GPU VM offerings.

对于基于CPU的计算任务，我发现Azure VM几乎可以与使用其他类型的硬件竞争，尤其是考虑所有典型的云优势时.但是对于GPU实例，我无法证明在云中运行模型的合理性 与用游戏机填充房间"的相对较低的成本相比.

For CPU-based computation tasks, I find that Azure VMs come close to competing with using other types of hardware, especially when considering all the typical cloud benefits. But for GPU instances, I'm having trouble justifying running models in the cloud when compared to the relatively low cost of "filling a room with gaming rigs".

VM的性能当然还不错，但是与内部硬件(具有1080Ti GPU的现代设备)相比，并没有什么惊人的表现.考虑到我想以24/365的速度运行这些机器，订购一大盒图形卡并只需要更换 它们眨眼时似乎便宜很多-尽管显然不是很绿色...

The performance of the VMs certainly isn't bad, but it's not spectacular compared with in-house hardware (modern rigs with 1080Ti GPUs). And given that I'd want to be running these machines 24/365, ordering a large box of graphics cards and just replacing them as they blink out seems an awful lot cheaper - although clearly not very green...

我在这里想念什么?

推荐答案

嗨Jaap van der Velde，

Hi Jaap van der Velde, 

激励IaaS时要考虑很多.

There is alot to take in consideration when motivating IaaS. 

IaaS的一些优势

• 可扩展性，您可以按大小或数量扩展GPU服务器.
• 初始成本，您从0开始，并支付实际使用的金额
• 以最新技术为最新，例如新的NV版本2.
  https://azure.microsoft.com/zh-CN/updates/public-preview-new-gpu-enabled-nvv2-azure-vms-for-graphics-密集型应用程序/
• SLA-没有硬件故障排除

• Scalability, you can either scale up or down in either size or amount of GPU servers. 
• Initial cost, you start from 0 and pay for the amount you actually use
• Keeping up to date with latest technology, as an example the new NV Version 2.
  https://azure.microsoft.com/en-us/updates/public-preview-new-gpu-enabled-nvv2-azure-vms-for-graphics-intensive-applications/
• SLAs - No hardware troubleshooting

但是正如您所说的那样，考虑IaaS时，成本可能并非始终是最有力的论据.

But as you say cost might not always be the strongest argument when looking at IaaS.

如果您希望查找24/7/365，则不要.但是，如果您不想配置硬件，继续监视硬件并替换GPU:s和其他硬件，则IaaS可能是您的解决方案.

Atleast not if your looking for a 24/7/365. But if you dont want to configure the hardware, keep monitoring hardware and replacing GPU:s and other hardware, IaaS might be a solution for you.

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