Hey Fred,

We charge a 10% software cost on top of the hourly cost for the AMI.  We
put a fair bit of engineering time into building, verifying and maintaining
it, additionally we offer support for it and will to improve the AMI based
on user feedback.  I believe there is a lot of value in the image and would
still like to add PR to mention it in the docs.


*re: AWS GPUs:*They currently have 4GB of RAM per GPU, and have multi GPU
systems as well (4 GPUs). In the very near future AWS intends to add a new
GPU instance that will sport more GPUs and RAM per GPU.

Thanks,
Sono

On Thu, Jul 21, 2016 at 12:54 PM, Frédéric Bastien <
[email protected]> wrote:

> Is it free? (I don't know Amazon Market). If it is, you could make a PR to
> Theano installation doc to tell about. Next to the link to Docker image for
> Theano.
>
> I think it would be good to have the option to have the latest dev version
> of theano, or a github tag of Theano like 0.9dev2 or the last release.
>
> This would allow more fredom in the selection of which Theano version.
> Maybe people use the dev version of Theano.
>
> Personnaly, the GPU don't have enough memory for us, so we mostly don't
> use them. Last time I checked they had only 1.5 or 2G of ram. Do they more
> recent GPUs now?
>
> Fred
>
>
> On Thu, Jul 21, 2016 at 12:03 PM, <[email protected]> wrote:
>
>> Hi,
>>
>> I wanted to put the word out  and let users know, we just published a
>> Theano AWS AMI that we will be maintaining via the AWS Market. I believe it
>> should be helpful to the community as we have done a lot of work on it to
>> make sure everything is tested & installed properly before putting out.
>>
>> The README
>> <https://github.com/bitfusionio/amis/tree/master/awsmrkt-bfboost-ubuntu14-cuda75-theano>
>>  has
>> details on how to launch and get started:
>>
>> Currently it is packaged with:
>>
>>    - CuDNN 5
>>    - Cuda 7.5
>>    - nvdriver 352
>>    - Keras
>>    - Jupyter Notebook
>>
>>
>> We are looking for feedback on how to improve and make the AMI more
>> useful to the community.   Additionally we would love to hear about how
>> people are using GPU based Theano clusters on AWS.
>>
>> Cheers and Thanks,
>> Sono
>> Slack Channel #bitfusion-aws
>> <https://bitfusion.slack.com/messages/bitfusion-aws/>
>>
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