I am thinking about running some graphics intensive programs on Windows Azure virtual machine, but not sure what kind of hardware do they have. Does all the VM have the same GPU? What is your experience of it?
The GPUs in Azure Virtual Machine are likely to be very basic and will most probably not have anywhere near the processing power you will need for carrying out intensive graphics manipulation. To my knowledge MS don't publish the details of the graphics hardware behind their Virtual Machines (If they actually use them at all?).
There's a question here on running WPF in an Azure cloud service which may be helpful.
Can Azure run WPF?
The N series Azure VMs support beefy GPUs. The NC series VM sports Tesla K80, with DDA (discreet device assignment) it supposed to provide close to bare metal performance. NV series VMs offer Tesla M60 with nVidia GRID.
More:
https://www.hpcwire.com/2015/09/29/microsoft-puts-gpu-boosters-on-azure-cloud/
https://blogs.technet.microsoft.com/hybridcloudbp/2016/12/13/n-series-azure-vms-with-gpu/
It's fascinating that there are FPGAs in Azure machines too (although not publicly accessible):
https://www.microsoft.com/en-us/research/project/project-catapult/
Related
I am looking for an alternative to azure accelerated networking. Usecase remains the same. I wish to have better response times on my VM which has support for hyperthreading. My concern is around cpu core underutilization brought forth by the accelerated networking requirement of maintaining 4 CPUs. The application doesn't even use up 2 cores. Let me know if there are any possible solutions.
Receive Side Scaling (RSS) is one known option...
If the Windows VM supports Accelerated Networking, enabling that feature would be the optimal configuration for throughput. For all other Windows VMs, using Receive Side Scaling (RSS) can reach higher maximal throughput than a VM without RSS. RSS may be disabled by default in a Windows VM.
On Linux VMs, it is enabled by default.
I'm using MacOS tried to use VM window 10 to run PUGB (Downloaded from Steam)but received a msg saying "dx11 feature level 10.0 request to run engine"
I tried roll back driver solution but VM window itself don't have the previous version I guess.
I've done some googling knowing some user got the same msg on their physical pc but worked on VM window 10.
Azure's Standard NV6 (6 vcpus, 56 GB memory) is my VM' server and thinking will the problem solved if I upgrade the spec?
NV Series VMs are available with single or multiple NVDIA GPUs as part
of the Azure N Series offering. These VMs are optimized for remote
visualization and VDI scenarios, using frameworks such as OpenGL and
DirectX.
From this description, the NV series VMs have the DirectX function. For more details, see here. And to take advantage of the GPU capabilities of Azure N-series VMs running Windows, NVIDIA GPU drivers must be installed. You can take a look at this document and it will show you how to install the drivers. Good luck.
I am currently running out of memory and RAM on my 2013 Macbook Pro (8gb 1600 MHz DDR3 memory, and 2 GHz Intel Core i7 processor) while running different scikit-learn (Random Search on MLPRegressor and GradientBoostingRegressor) models on a 50,000 sample data set with ~70 features, most of which are categorical. I have setup a VM on Google Cloud Platform, but have not seen much of an improvement in execution time. Here are the specs of the VM: Machine type: n1-standard-8 (8 vCPUs, 30 GB memory), Source image: ubuntu-1604-xenial-v20180126. I'm wondering if anyone has any recommendations on tweaking vm specs for learning data science. I'm not looking to add any GPUs due to cost. Thank you
As the volume and nature of the data you plan to process is known to you, simply experimenting with different machines on Google Cloud Platform is the best way to choose the most effective option.
General information on subject is to be found in the "Google Cloud Platform for Data Scientists" document.
In case you may still consider this option, "Graphics Processing Unit (GPU)" provides an overview of this component in the context of data science.
Constraints:
My application requires SSE4.2 instruction set.
I am using packer.io to provision my Windows Azure VM (OpenLogic 6.5 OS.)
Windows Azure returns an AMD-processor-backed-VM about 15% of the time. The rest of the time - they are Intel-processor-based. AMD processors do not support SSE4.2, but they do support SSE4a. So, my application is terminated with SIGILL on AMD processors.
Questions:
Can I request specific architecture (Intel CPU) when Packer
provisions a VM? I know that instance types >= A8 come only with Intel processors, but they are more expensive, and I would not want to use them for development.
If Packer cannot do it, what are the other options
(Powershell, ect...) that would give me this functionality?
Thank you.
Answering my own question. Azure does not provide a way to request processor type. The only way to ensure Intel processor is to not use A-series machines (as confirmed by a MSFT representative.) Thus, no tool can do it.
I have some virtual machines at Windows Azure and I need to run some games in these machines, but I'm not able to do that because of the graphic cards of the VM's, mostly games don't work with a generic hyper-v graphic card (like Far Cry 3). So, what I want to know: is it possible to do something to run these games on these VM's? like emulate a graphic card. Even if the game run slowly it will help.
Thanks!
You would require the VM to have a GPU. check out N-series VM.
https://learn.microsoft.com/en-us/azure/virtual-machines/virtual-machines-windows-sizes?toc=%2fazure%2fvirtual-machines%2fwindows%2ftoc.json#performance-considerations