[Beowulf] Neocortex unreal supercomputer

[Darren Wise]

Heya, sorry to chime in a little late,
Some images of the box on tech crunch, some details, but the article was written during 2019 prior to the new publication you folks are talking about.

https://techcrunch.com/2019/11/19/the-cerebras-cs-1-computes-deep-learning-ai-problems-by-being-bigger-bigger-and-bigger-than-any-other-chip/

All I can say is it really beats the bogomips off my IBM X3950x5 80core 2-node even with the XEON Phi cards I'm installing.

-I have also read an gaming publication article utilising the almost same content and images as tech crunch but with the gloss over of why it wont be playing crysis anytime soon ;)

Kind regards,
Darren Wise

On 14 June 2020 06:11:30 BST, Jonathan Engwall <engwalljonathanthereal at gmail.com> wrote:
>There is the strange part. How to utilize such a vast cpu?
>Storage should be the back end, unless the use is an api. In this case
>a
>gargantuan cpu sits in back, or so it seems.
>
>On Sat, Jun 13, 2020, 9:41 PM Chris Samuel <chris at csamuel.org> wrote:
>
>> On 13/6/20 7:58 pm, Fischer, Jeremy wrote:
>>
>> > It’s my understanding that NeoCortex is going to have a petabyte or
>two
>> > of NVME disk sitting in front of it with some HPE hardware and then
>> > it’ll utilize the queues and lustre file system on Bridges2 as its
>front
>> > end.
>>
>> There's more information here:
>>
>>
>>
>https://www.psc.edu/3206-nsf-funds-neocortex-a-groundbreaking-ai-supercomputer-at-psc-2
>>
>> # Neocortex will use the HPE Superdome Flex, an extremely powerful,
>> # user-friendly front-end high-performance computing (HPC) solution
>> # for the Cerebras CS-1 servers. This will enable flexible pre- and
>> # post-processing of data flowing in and out of the attached WSEs,
>> # preventing bottlenecks and taking full advantage of the WSE
>> # capability. HPE Superdome Flex will be robustly provisioned with
>> # 24 terabytes of memory, 205 terabytes of high-performance flash
>> # storage, 32 powerful Intel Xeon CPUs, and 24 network interface
>> # cards for 1.2 terabits per second of data bandwidth to each
>> # Cerebras CS-1.
>>
>> The way it reads both of these CS-1's will sit behind that single
>Flex.
>>
>> All the best,
>> Chris
>> --
>>   Chris Samuel  :  http://www.csamuel.org/  :  Berkeley, CA, USA
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