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#1 |
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"Marv"
May 2009
near the Tannhäuser Gate
3·269 Posts |
Available today at Nvidia's online store for a mere 3000 US dollars. It has 12GB HBM2 memory, 5120 Cuda cores, blower style cooling shroud, and 1/2 DP for 6.9 teraflops of DP compute power !
It sucks a tiny 250W of power. Most impressive to me is that it's based on 12 nanometer fab process ! Sorry, guys, but there is a limit of 2 boards per order. Anandtech has more details : https://www.anandtech.com/show/12135...r-3000-dollars |
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#2 |
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"Vincent"
Apr 2010
Over the rainbow
1011011010002 Posts |
tomshardware link
http://www.tomshardware.com/news/nvi...ops,36085.html Also is the memory is 3072-bit wide instead of 4096 for the tesla. how does that affect performance? is it 33% *slower* or did i misunderstood something again? |
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#3 |
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Jun 2003
23×683 Posts |
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#4 |
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Aug 2006
22×3×499 Posts |
Seems to be aimed at the low-end machine learning community with the Tensor cores. Not sure it's a good fit for our crunching needs.
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#5 | |
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"Marv"
May 2009
near the Tannhäuser Gate
3·269 Posts |
Quote:
The tensor cores do FP16 multiplies into an FP32 accumulator. Still, for other purposes, it DOES have lots of DP power. Last fiddled with by tServo on 2017-12-08 at 19:21 |
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#6 |
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"Mihai Preda"
Apr 2015
22·3·112 Posts |
FP64 looks impressive, but the gain there will be bottlenecked by memory for LL/PRP.
Nevertheless, I'm curious by the time-per-iteration one gets for $3K (at 4M FFT size, let's say). |
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#7 | |
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"Oliver"
Mar 2005
Germany
5·223 Posts |
Quote:
Oliver |
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#8 | |
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"Mihai Preda"
Apr 2015
22·3·112 Posts |
Quote:
Last fiddled with by preda on 2017-12-10 at 02:16 |
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#9 |
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"Oliver"
Mar 2005
Germany
5·223 Posts |
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