Hi Dmitri

Thanks for the response.

Yes old hardware but as I said it is for a personal cluster. I have also put 
M2070’s in one of the 1070 chases as they are basically 4 slot PCI expansions. 
I have various other M2050/M2070/M2090/K20x cards around so depending on time I 
can certainly get more bang than the C1060’s that are in there now. I am 
prepared to live with the pain of older drivers, potentially having to use 
older linux distributions and not being able to support much beyond CUDA 2.0...

Yes I could go out and purchase probably a couple of newer cards and get the 
same performance or better but this is more about the exercise and the learning.

So maybe the hardware list was a distraction. What are people using as the 
predominant distro and management tools? 

cheers

Richard



> On 21 Aug 2019, at 3:08 pm, Dmitri Chubarov <dmitri.chuba...@gmail.com> wrote:
> 
> Hi,
> this is a very old hardware and you would have to stay with a very outdated 
> software stack as 1070 cards are not supported by the recent versions of 
> NVIDIA Drivers and old versions of NVIDIA drivers do not play well with 
> modern kernels and modern system libraries.Unless you are doing this for 
> digital preservation, consider dropping 1070s out of the equation.
> 
> Dmitri
> 
> 
> On Wed, 21 Aug 2019 at 06:46, Richard Edwards <e...@fastmail.fm 
> <mailto:e...@fastmail.fm>> wrote:
> Hi Folks
> 
> So about to build a new personal GPU enabled cluster and am looking for 
> peoples thoughts on distribution and management tools.
> 
> Hardware that I have available for the build
> - HP Proliant DL380/360 - mix of G5/G6
> - HP Proliant SL6500 with 8 GPU
> - HP Proliant DL580 - G7 + 2x K20x GPU
> -3x Nvidia Tesla 1070 (4 GPU per unit)
> 
> Appreciate people insights/thoughts
> 
> Regards
> 
> Richard
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