NVIDIA Titan V Graphics Card Benchmarks

Discussion in 'Frontpage news' started by Hilbert Hagedoorn, Dec 9, 2017.

  1. fantaskarsef

    fantaskarsef Ancient Guru

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    How people still don't realise that you don't buy a Titan for gaming (except you really want it). So much discussion about something not even worth it...
     
  2. Andrew LB

    Andrew LB Maha Guru

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    Some of you guys seem to be blind to reality when it comes to something you obviously can't afford, because if this card was around $1k, i know many of you would be buying it.

    And i know it seems to be in fashion to badmouth corporations, capitalism, and of course the wealthy... but the fact remains that the price of video cards has not increased ANY since the year 2000 when you adjust them according to the US Bureau of Labor and Statistics Consumer Price Index. In fact, the most expensive graphics card (non-titan) since 2000 was the 8800 Ultra, which in today's dollars would be around $1,000 usd.

    [​IMG]
     
  3. Aura89

    Aura89 Ancient Guru

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    People forget, or better yet, purposely ignore this information way too often. How many times i've heard "Well you can't take into consideration inflation, because $1 is still $1"................................

    To be fair, the die size on this thing is drastically larger then anything we've had the opportunity to buy. And it's not for gaming, though can be used for gaming, and is drastically a better price then other products this card is intended for.

    Titan V die size: 815mm2
    Titan XP die size: 471mm2
    Titan X die size: 601mm2
    etc.etc.etc.

    The only thing that, sorta, matches it, would be the GTX Titan Z, which isn't the same die size, but it's 561mm2 x2 for a dual-card. And, that card was $2999, the same as this card.

    As to nvidia using a midrange GPU in the x80 series cards, honestly that's up to the individual perception, because there really is no way to prove that. For instance, i really can't imagine a GTX 1070 as a GTX 1060, or a GTX 1060 as a GTX 1050, etc. And all of that would be how it was if everything was put down the list.

    What can be said is that their die size has been mostly the same, which from a cost perspective is exactly what a company is going to try and dictate their product line with. Yes, it does fluctuate a lot, but that's normal considering fabrication shrinks and refreshes. And i'll admit, the last couple of generations before the 680 were pretty big.

    GTX 680 and after
    GTX 1080 - 314mm2 @ 16nm
    GTX 980 - 398mm2 @28nm
    GTX 780 - 561mm2 @28nm
    GTX 680 - 294mm2 @28nm
    Average die size: 391.75 mm2

    Before GTX 680
    GTX 580 - 520mm2 @40nm
    GTX 480 - 529mm2 @40nm
    GTX 285 - 470mm2 @55nm
    GTX 280 - 576mm2 @65nm
    GTX 9800+ - 260mm2 @55nm
    GTX 9800 - 324mm2 @65nm
    GTX 8800 - 484mm2 @90nm
    GTX 7800 - 333 mm2 @90nm
    6800 Ultra - 287 mm2 @110nm
    Average die size: 420.33 mm2

    Compared to the Titans(non-dual):
    TITAN V - 815mm2 @ 12nm
    TITAN Xp - 471mm2 @ 16nm
    TITAN X(pascal) - 471mm2 @ 16nm
    TITAN X(maxwell) - 601 mm2 @28nm
    TITAN Black - 561 mm2 @28nm
    TITAN - 561 mm2 @28nm
    Average die size: 580mm2

    I mean, if there's another way to judge what "should" be an x80 series card, i'm all ears, but i can only come up with the manufacturing costs as a good reason for cards to be more expensive.
     
    Last edited: Dec 12, 2017
  4. Monchis

    Monchis Maha Guru

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    The real rip-off are the midrange.

    Ps.- Starting with the 680
     
    Last edited: Dec 12, 2017

  5. alanm

    alanm Ancient Guru

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    More benches.... never mind, link not allowed.
     
  6. pharma

    pharma Ancient Guru

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    Thanks to Brodda Thep for providing some crypto benchmarks on his Titan V ...

    Code:
    Algorithm  Titan V  1080ti   mult
    LBRY       687      460      1.49
    SKUNK      57.8     47.5     1.22
    BitCore       36.3     23.1     1.57
    poly       47.1     31.4     1.5
    Groestl    74.9     58       1.29
    xevan      crash    
    keccak     1.63     1.18     1.38
    Equihash   792      685      1.16
    x17        25.85    18.3     1.41
    x11evo     29.6     17.2     1.72
    veltor     78.6     54.4     1.44
    phi        44.4     29.4     1.51
    skein      1260     842      1.50
    sib        29.3     20.8     1.41
    lyra2z     6.12     2.77     2.21
    myr-gr     144.7    112.9    1.28
    lyra2RE2   48.1     66.8     0.72
    hsr        28.4     19.5     1.46
    timetravel 54.3     39.9     1.36
    c11        38.4     27.7     1.39
    tribus     130.3    88.4     1.47
    blakecoin  9.54     7.6      1.26
    blake2s    8.6      6.26     1.37
    ethash     67.3     30.5     2.21
                                 1.53
     
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  7. pharma

    pharma Ancient Guru

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  8. user1

    user1 Ancient Guru

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    you can't really sort by branding because the product stacks have changed over the years, imo using the code name for the gpu is probably the better way since the big chip is always chip 0

    so it would be more like this
    g80 90nm 484 mm2
    gt200 65nm 470 mm2
    gf100 40nm 529 mm2
    gk110 28nm 551 mm2
    gm200 28nm 601 mm2
    gp100 16nm 610 mm2
    gv100 12nm 815 mm2 (12m has similar density to 16nm, not really a node shrink)


    chip 2, is the next step down in size, chip 4 smaller ect.

    As node shrinks have become less and less frequent die size has increased considerably, and after 28nm price per mm2 has increased rather than decreased like in the past.


    As you said, gv100 is not an ordinary chip , it was funded in part by the us government for use in a couple supercomputers, and its Really Really huge, its the type of chip that you should wait for a node shrink for, but here it is on 12nm(which is really just 16nm with some tweaks), its not very comparable to older chips. the price is justified by its compute performance , the fact its the fasted gpu, and the manufacturing cost, the yields are probably terrible, given a standard 300mm wafer, you're only gonna get a max of 86~ chips roughly from it. which is very very low. for comparison you would get 150 chips from the same wafer if fabbing gp102's and the number of defects per chip would be lower aswell.

    Gv100 could be the most expensive mass produced chip ever created, its using one of the newest processes available and its at the max reticle size, you can't make a bigger chip and more expensive chip practically.

    I don't really see what there is to complain about price wise, considering what it is. the acelerator versions of these are 15k+ the titan v is practically a bargin by comparison.
     
  9. Noisiv

    Noisiv Ancient Guru

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    Peanuts really.
    A total of $258 million in funding over a three-year period to HPE, Cray, AMD, Intel, IBM, and Nvidia, put toward developing exascale computers.

    Over the same three-year period Nvidia alone will invest something like 10 Billion USD in R&D.


    "To make one chip work, per 12 inch wafer, I would characterize it as unlikely. "

    53m 35s mark:

     
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  10. user1

    user1 Ancient Guru

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    I was more alluding to the purpose of such a chip than the total r&d contribution, I doubt nvidia would have built the chip if they couldn't sell tens of thousands of units to the us government at 20k+ a piece(just an shot in the dark really, probably much higher than that. Ive seen claims it could be as high at 100k a piece, since you know "government efficiency").

    Its basically designed to slot into a custom ibm power 9 system with nvlink for the sierra and summit supercomputer projects , that is its purpose, for use in large computing clusters.

    LOL, thats crazy. no wonder.
     

  11. Elder III

    Elder III Ancient Guru

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    Any link or source for those benchmarks?

    I know that hashrates will improve with optimized miners, but nothing there looks like it's even close to being worth buying with mining in mind.
     
  12. fantaskarsef

    fantaskarsef Ancient Guru

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    Thankfully, yes. Means people that want to buy any gaming cards later in the release cycle will probably still get some cards :D
     
  13. pharma

    pharma Ancient Guru

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    NVIDIA's TITAN V Volta GPU Ethereum Mining Beast Rips 77MH/s While Overclocked


    https://hothardware.com/news/nvidias-titan-v-volta-gpu-ethereum-mining-beast-77mhs-overclocked
     
  14. fantaskarsef

    fantaskarsef Ancient Guru

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  15. pharma

    pharma Ancient Guru

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    jura11 and -Tj- like this.

  16. -Tj-

    -Tj- Ancient Guru

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    Last edited: Dec 13, 2017
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  17. pharma

    pharma Ancient Guru

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    I guess things will change once the drivers are *properly* optimized for gaming with the Titan V.
     
  18. Denial

    Denial Ancient Guru

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    Drivers probably play a role but I think the majority of the issue is clockspeed and core count. It was expected that this would happen to Nvidia, similar to AMD's architectures as their core count increased. It's essentially the reason why AMD started pushing for low level APIs and features like Async - to keep all the extra shader hardware in their core utilized. Gnex sums it up well here:

    It also explains the reason why several Titan V owners are experiencing lower than expected utilization rates in relatively demanding games. The clock rate is too low in some games, the GTX variants will remedy this.
     
  19. pharma

    pharma Ancient Guru

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    I just happen to notice the Titan V benchmarks in the Hardwareluxx review above used a Intel Core i7-3960X , which probably accounts for much of the low gaming benchmark results vs other cards.
     
  20. pharma

    pharma Ancient Guru

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    NVIDIA Titan V Ethereum Mining Blows Past 82MH/s While Overclocked On Our Test Bench


    https://hothardware.com/news/nvidia-titan-v-volta-ethereum
     
    Last edited: Dec 14, 2017

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