[ML-General] Cluster Computing

Brian Oborn linuxpunk at gmail.com
Thu Jan 22 16:55:02 CST 2015


If you can keep your utilization high, then your own hardware can be much
more cost effective. However, if you end up paying depreciation and
maintenance on a cluster that's doing nothing most of the time you'd be
better off in the cloud.

On Thu, Jan 22, 2015 at 4:50 PM, Michael Carroll <carroll.michael at gmail.com>
wrote:

> Depending on what you are going to do, it seems like it would make more
> sense to use AWS or Digital Ocean these days, rather than standing up your
> own hardware. Maintaining your own hardware sucks.
>
> That being said, if you are doing something that requires InfiniBand, then
> hardware is your only choice :)
>
> ~mc
>
> On Thu, Jan 22, 2015 at 4:43 PM, Joshua Pritt <ramgarden at gmail.com> wrote:
>
>> My friends and I installed a Beowulf cluster on a closet full of Pentium
>> 75 Mhz machines we were donated just for fun many years ago back when
>> Beowulf was just getting popular.  We never figured out anything to do with
>> it though...
>>
>> On Thu, Jan 22, 2015 at 5:31 PM, Brian Oborn <linuxpunk at gmail.com> wrote:
>>
>>> In my previous job I set up several production Beowulf clusters, mainly
>>> for particle physics simulations and this has been an area of intense
>>> interest for me. I would be excited to help you out and I think I could
>>> provide some good assistance.
>>>
>>> Brian Oborn (aka bobbytables)
>>>
>>>
>>> On Thu, Jan 22, 2015 at 4:25 PM, Stephan Henning <shenning at gmail.com>
>>> wrote:
>>>
>>>> Does anyone on the mailing list have any experience with setting up a
>>>> cluster computation system? If so and you are willing to humor my
>>>> questions, I'd greatly appreciate a few minutes of your time.
>>>>
>>>> -stephan
>>>>
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