NVIDIA Tesla K80 dual-GPU Compute Accelerator

Discussion in 'Frontpage news' started by Hilbert Hagedoorn, Nov 17, 2014.

  1. Hilbert Hagedoorn

    Hilbert Hagedoorn Don Vito Corleone Staff Member

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    The Tesla K80 dual-GPU is the new flagship offering of the Tesla Accelerated Computing Platform, the leading platform for accelerating data analytics and scientific computing. It combines the world's...

    NVIDIA Tesla K80 dual-GPU Compute Accelerator
     
  2. GeniusPr0

    GeniusPr0 Maha Guru

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    omg... do want
     
  3. Twiddles

    Twiddles Maha Guru

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    And what are you going to do with it? :D Game? No way in heck that thing is going to perform well.
     
  4. BLEH!

    BLEH! Ancient Guru

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    780 Ti based?
     

  5. rl66

    rl66 Ancient Guru

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    me too :bang:

    no... for game i have my HTPC with APU and a 750ti... far enough powerfull :)

    on other hand, previous K tesla's serie are not slow (and i have already one)...
     
  6. jimdove

    jimdove Master Guru

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    can it run crysis (no)
     
  7. Twiddles

    Twiddles Maha Guru

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    I'm not worried about it being slow, just sub-par for games :D

    Should be a beast for CUDA etc!
     
  8. tsunami231

    tsunami231 Ancient Guru

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    24gbs ram. I can just image it in the new future GPU will have more ram then the main system has for ram
     
  9. maize1951

    maize1951 Master Guru

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    What, no display ports!! Maybe it's SLI'd with another card that has the ports.
     
    Last edited: Nov 17, 2014
  10. slyphnier

    slyphnier Master Guru

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    yep it seems so ...
    from anandtech :
    At SC’13 NVIDIA introduced the Tesla K40, the first “fully enabled” Kepler Tesla card. Based on the GK110B variant of NVIDA’s GPU, this was the first Tesla product to ship with all 2880 CUDA cores enabled
     

  11. -Tj-

    -Tj- Ancient Guru

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    Tesla gpus dont have any display outputs.



    EDIT: specifications vs old K40, so ~ Titan-Z performance :D
    [​IMG]
    http://www.nvidia.com/object/tesla-servers.html
     
    Last edited: Nov 17, 2014
  12. Noisiv

    Noisiv Ancient Guru

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  13. vbetts

    vbetts Don Vincenzo Staff Member

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    Tesla's are made for CUDA computing, they aren't made for display.

    I'm not sure if they have Mac support or not, but a lot of applications for Mac also take advantage of CUDA cores.
     
  14. rl66

    rl66 Ancient Guru

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    of course not, the last who have HDMI was my old tesla C, it was cool because it dispence you to have quadro... but now that there is more and more workstation with full pcie totally laned it is (as before) useless...

    also: you don't need SLI (despite possible) some system run much more tesla than SLI could handle...

    there is huge quantity of mem because it is for calc, not for BF4 in ultra.
    talking about gaming: yes you can use tesla as physX (have tried before sell the old one) :) but it's like killing a mosquito with a 100 megaton bomb... (and cost a few too lol $3,870.00 for K40)

    *edit*
    exemple with 8 tesla...
    http://www.supermicro.com/products/system/4U/4027/SYS-4027GR-TRT.cfm
     
    Last edited: Nov 17, 2014
  15. PhazeDelta1

    PhazeDelta1 Ancient Guru

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    I'd like to get a few of these for my folding rigs. At $5k a pop, my wife would kill me if I did. :D
     

  16. ---TK---

    ---TK--- Ancient Guru

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    You cant plug your monitor in with that type of card. lol
     
  17. scipio

    scipio Ancient Guru

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    But but why not......lol
     
  18. reix2x

    reix2x Master Guru

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    This is a card for use as a "coprocessor", i work doing 3D Rendering and this is the kind of things this cards do, they do the float calculations a very big way faster than a normal processor. These are widely used in the scientific (for simulation) and financial (for analysis) field.
     
  19. BLEH!

    BLEH! Ancient Guru

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    Folding...?
     
  20. reix2x

    reix2x Master Guru

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    sure! this card can be used for folding, but believe me... this is not a cheap stuff.. this kind of cards is must used in the industrial field so its really expensive.
     

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