Thank you.

Best Regards,
Hari

On 7 Jul 2017 3:59 a.m., "Roope Astala" <roast...@microsoft.com> wrote:

> 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> 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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