You can use an attached GPU VM for DNN training, and do other processing on 
regular CPU nodes. You can even deallocate the GPU VM to save costs when not 
using it. The GPU branch has instructions how to set up such compute 
environment:

https://github.com/Azure/mmlspark/tree/gpu#gpu-vm-setup

Cheers,
Roope – Microsoft Cloud AI Team

From: hosur narahari [mailto:hnr1...@gmail.com]
Sent: Thursday, July 6, 2017 1:54 AM
To: Gaurav1809 <gauravhpan...@gmail.com>
Cc: user <user@spark.apache.org>
Subject: Re: Do we anything for Deep Learning in Spark?

Hi Roope,

Does this mmlspark project uses GPGPU for processing and just CPU cores since 
DL models are computationally very intensive.

Best Regards,
Hari

On 6 Jul 2017 9:33 a.m., "Gaurav1809" 
<gauravhpan...@gmail.com<mailto:gauravhpan...@gmail.com>> wrote:
Thanks Roope for the inputs.

On Wed, Jul 5, 2017 at 11:41 PM, Roope [via Apache Spark User List] <[hidden 
email]<http://user/SendEmail.jtp?type=node&node=28826&i=0>> wrote:
Microsoft Machine Learning Library for Apache Spark lets you run CNTK deep 
learning models on Spark.

https://github.com/Azure/mmlspark<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FAzure%2Fmmlspark&data=02%7C01%7Croastala%40microsoft.com%7Cc8e41a789e9d4837c81408d4c4337609%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636349172685703933&sdata=1FqnrRsLY6JrPb%2BdkG4AlLBN%2F8f2O6w3Ehi9DYvu6lc%3D&reserved=0>

The library APIs are focused on image processing scenarios, and are compatible 
with SparkML Pipelines.

Cheers,
Roope - Microsoft Cloud AI Team
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