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Fujitsu releases details of new AI processor
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Exascale
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Default Fujitsu releases details of new AI processor - 07-17-2017, 00:57 | posts: 308

Fujitsu, the makers of the most advanced CPUs for supercomputers and SPARC servers, has decided to give Intel, Nvidia and AMD some competition in the AI and deep learning department.

https://www.top500.org/news/fujitsu-...ilt-processor/

The DLU(deep learning unit) coprocessor consists of 16 DPE(deep learning processing elements), each of which contains eight SIMD execution units, specifically tailored for deep learning workloads.

It includes on package HBM2 and on die 6 dimensional Tofu interconnect, which will let it scale massively to tens of thousands of nodes, like PrimeHPC does.

They are targeting 10x the performance of "the competetion", and since its release is schedueled for FY2018, that means the latest Nvidia and Intel deep learning chips.

Given their history with K Computer, and the fact that its still at the #1 spot in HPCG and Graph500, I am inclined to believe that they will hit 10x their competitors performance.
   
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Fox2232
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Default 07-17-2017, 06:15 | posts: 5,512 | Location: EU, CZ, Brno

How does 10x Perf./Watt statement they made compare to this?
http://www.research.ibm.com/cognitiv...ic-chips.shtml
   
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Exascale
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Default 07-17-2017, 07:31 | posts: 308

Quote:
Originally Posted by Fox2232 View Post
How does 10x Perf./Watt statement they made compare to this?
http://www.research.ibm.com/cognitiv...ic-chips.shtml
I am familiar with those neuromorphic chips, but those are a bit different. They function differently than traditional "computer chips". Neuromorphic chips process data more like stochastic biological neurons. Its another REALLY cool technology and its actually been around for a long time now. They are going to start using those neuromorphic chips to monitor the health of and predict failures in traditional supercomputers, among other things.

Last edited by Exascale; 07-17-2017 at 08:56.
   
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Default 07-17-2017, 10:21 | posts: 1,427 | Location: France

Quote:
Originally Posted by Fox2232 View Post
How does 10x Perf./Watt statement they made compare to this?
http://www.research.ibm.com/cognitiv...ic-chips.shtml
aaaaaaaaahhhhhhhhhhh... cooking with those apple is heretic...

hopefully this news is interesting
   
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Default 07-17-2017, 10:47 | posts: 149

the end of AMD/intel/nvidia has begun.
   
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cryohellinc
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Default 07-17-2017, 12:21 | posts: 639 | Location: St. Petersburg

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the end of amd/intel/nvidia has begun.
its the end times
   
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Default 07-17-2017, 12:56 | posts: 302 | Location: Portugal

Quote:
Originally Posted by labidas View Post
the end of AMD/intel/nvidia has begun.
Not sure if serious or troll.
   
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Default 07-17-2017, 14:01 | posts: 1,766 | Location: MA, USA

I wasn't aware Fujitsu made SPARC CPUs. Apparently SPARC is still owned by Oracle, though I'm a bit surprised Fujitsu hasn't just bought the rights from them at this point.
   
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Default 07-17-2017, 14:29 | posts: 6,325 | Location: Romania

Judgement Day is nigh!
   
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Default 07-17-2017, 14:43 | posts: 308

Quote:
Originally Posted by schmidtbag View Post
I wasn't aware Fujitsu made SPARC CPUs. Apparently SPARC is still owned by Oracle, though I'm a bit surprised Fujitsu hasn't just bought the rights from them at this point.
Fujitsu makes Oracles hardware for them. Thats why its so good and so expensive too.
   
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Default 07-17-2017, 16:06 | posts: 5,727

Quote:
Originally Posted by Solfaur View Post
Judgement Day is nigh!
poor Nvidia might drop to only 90% share in deep learning.
   
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Exascale
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Default 07-18-2017, 02:45 | posts: 308

Quote:
Originally Posted by Noisiv View Post
poor Nvidia might drop to only 90% share in deep learning.
They currently have >90%?
   
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Default 07-18-2017, 02:49 | posts: 19,943 | Location: US East Coast

Quote:
Originally Posted by Exascale View Post
They currently have >90%?
Not that I'm aware of.


   
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Exascale
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Default Today, 06:22 | posts: 308

http://www.marketwatch.com/story/nvi...sor-2017-07-18

Financial analysts have noticed.

Last edited by Exascale; Today at 08:31.
   
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