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On Fri, Jun 13, 2014 at 10:34:05PM +0700, "C. Bergström" wrote:
> On 06/13/14 09:16 PM, Greg Keller wrote:
> >Supermicro has a board that provides Eight x16 slots, but I understand
> >it's wired so that 2 slots are effectively sharing 16 lanes. Let
On 06/13/14 09:16 PM, Greg Keller wrote:
From: "Raphael Verdugo P." mailto:raphael.verd...@gmail.com>>
To: beowulf@beowulf.org <mailto:beowulf@beowulf.org>
Subject: [Beowulf] HPC with CUDA
I need install 5 GPUs(Geforce GTX 780s) in a server and 1 Tesla
> From: "Raphael Verdugo P."
> To: beowulf@beowulf.org
> Subject: [Beowulf] HPC with CUDA
>
> I need install 5 GPUs(Geforce GTX 780s) in a server and 1 Tesla
> Keppler K40 in other.
>
> ? Do they have any recommendation for server HP or Dell? processor? , RAM
75W plus 250-300 W for all the rest.
nonsense. stick it in a 25W AM1 system, for instance.
or amortize a 50W i3 system across three cards.
but of course I get your point: if your main concern is
the 15W power budget (and perhaps DC), it adds an OK
compute boost to the usual ARM offerings.
75W plus 250-300 W for all the rest.
11W is including everything and for particular applications the board is
quite fast.
M
On Fri, Jun 6, 2014 at 9:36 AM, Mark Hahn wrote:
> Yes, I have been working on one for a while.
>> It is a nice system, ported a bunch of apps to it with little effort.
>
Yes, I have been working on one for a while.
It is a nice system, ported a bunch of apps to it with little effort.
I have only one at the moment, but planning to build a small cluster in a
little bit.
I'm curious why, but perhaps I'm being mean ;)
for instance, 192 pseudo-cores, even for 11W, i
Idle is around 2-3W, fully loaded CPU/GPU can reach 13W.
This is from the wall with an inefficient power brick.
M
On Thu, Jun 5, 2014 at 4:35 PM, Christopher Samuel
wrote:
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> On 05/06/14 21:34, Eugen Leitl wrote:
>
> > Speaking about CUDA and
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On 05/06/14 21:34, Eugen Leitl wrote:
> Speaking about CUDA and HPC, anyone had a go at the nVidia Jetson
> TK1 dev kit yet? Kepler with 192 cores, at less than 11 Watt
> purportedly.
Is that 11W fully loaded, or idle?
cheers,
Chris
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Christoph
Yes, I have been working on one for a while.
It is a nice system, ported a bunch of apps to it with little effort.
I have only one at the moment, but planning to build a small cluster in a
little bit.
M
On Thu, Jun 5, 2014 at 4:34 AM, Eugen Leitl wrote:
> On Wed, Jun 04, 2014 at 04:51:11PM +02
On Wed, Jun 04, 2014 at 04:51:11PM +0200, r...@q-leap.de wrote:
> > "Prentice" == Prentice Bisbal writes:
>
> Hi Prentice, Raphael,
>
> Prentice> Raphael, Not many vendors make servers that support that
> Prentice> many GPUs is a single chassis. I know for a fact Dell
> Prentice>
> "Prentice" == Prentice Bisbal writes:
Hi Prentice, Raphael,
Prentice> Raphael, Not many vendors make servers that support that
Prentice> many GPUs is a single chassis. I know for a fact Dell
Prentice> doesn't. I think the HP Proliant servers are your best
Prentice> option.
Raphael,
Not many vendors make servers that support that many GPUs is a single
chassis. I know for a fact Dell doesn't. I think the HP Proliant servers
are your best option.
Processor shouldn't be to important in terms of compatibility with the
GPU. If all the work is going to be done on the
This is a good solution for this problem. Unfortunately, my Dell reps
tell me that they are discontinuing this product. I'm not sure if it's
even still available. Apparently it didn't sell very well.
Prentice
On 06/04/2014 08:34 AM, Gavin W. Burris wrote:
Hi, Raphael.
We have been using the
Hi, Raphael.
We have been using the Dell C410x PCIe expansion chassis. This has
worked well for multiple GPUs across one or more servers.
You will want to check the support matrix for a supported configuration.
Being in an unsupported configuration may be painful, if the various
firmwares do not
Hi,
I need install 5 GPUs(Geforce GTX 780s) in a server and 1 Tesla
Keppler K40 in other.
¿ Do they have any recommendation for server HP or Dell? processor? , RAM?
I review a HP ProLiant DL380p Gen8 Server (1) . Do they any observation?
We will use it with Nvidia CUDA for HPC...
We have t
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