As SIGGRAPH 2013 continues to roll on, today’s major announcements include those from NVIDIA. SIGGRAPH is NVIDIA’s favored show for professional graphics and Quadro product announcements, with NVIDIA using last year’s SIGGRAPH to announce their first Kepler based Quadro part, the Quadro K5000. This year NVIDIA is back again with a new Quadro part, finally fully fleshing out the Quadro family with the most powerful of the Quadro cards, the Quadro K6000.

In NVIDIA’s product hierarchy, the Quadro 6000 cards hold the position of NVIDIA’s most powerful products. They’re not just the flagship cards for the Quadro family, but really the flagship for the entire generation of GPUs, possessing the compute functionality of Tesla combined with the graphics functionality of GeForce/Quadro, and powered by what’s typically the single most powerful GPU configuration NVIDIA offers. They’re unabashedly high end – and have a price tag to match – but in many ways they’re the capstone of a generation. It should come as no surprise then that with the Quadro K6000, NVIDIA is looking to launch what will become the king of the Keplers.

  Quadro K6000 Quadro K5000 Quadro 6000
Stream Processors 2880 1536 448
Texture Units 240 128 56
ROPs 48 32 48
Core Clock ~900MHz ~700MHz 574MHz
Shader Clock N/A N/A 1148MHz
Memory Clock 6GHz GDDR5 5.4GHz GDDR5 3GHz GDDR5
Memory Bus Width 384-bit 256-bit 384-bit
Frame Buffer 12GB 4GB 6GB
FP64 1/3 FP32 1/24 FP32 1/2 FP32
Max Power 225W 122W 204W
Architecture Kepler Kepler Fermi
Transistor Count 7.1B 3.5B 3B
Manufacturing Process TSMC 28nm TSMC 28nm TSMC 40nm

When Quadro K5000 was launched at SIGGRAPH 2012, it was to be based on NVIDIA’s more graphics-oriented GK104 GPU. A GK110 Quadro was a forgone conclusion, but of course GK110 would not start shipping until the end of 2012, and NVIDIA had large Tesla orders to fill. So it has taken the better part of a year, but NVIDIA is finally shipping a GK110 based Quadro card and it is a doozy.

With Quadro NVIDIA doesn’t promote the specifications of the card nearly as much as they promote the use cases – in fact they don’t even publish clockspeeds – but based on their performance data it’s always easy to quickly calculate the necessary information. With a quoted compute performance of 5.2TFLOPs/sec for single precision (FP32), Quadro K6000 is the first fully enabled GK110 part, shipping with all 15 SMXes up and running. These in turn are clocked at roughly 900MHz, the highest base clockspeed for any GK110 card. Paired with this GPU is a staggering 12GB of VRAM clocked at 6GHz, marking the first NVIDIA product shipping with 4Gb GDDR5. The TDP on all of this? Only 225W.

Compared to the outgoing Quadro 6000, it’s interesting to note on just where NVIDIA’s performance ambitions have taken them. Besides the obvious doubling in memory, Quadro K6000 offers 1.7x the graphics performance but 5x the compute performance. The compute performance gains clearly outpace the graphics performance gains, reflecting where NVIDIA has gone with Kepler in their designs. The professional graphics market still highly values graphics performance and the Quadro K6000 should have no problem delivering on that, but for mixed use cases the compute gains will be even more remarkable.

So who and what is NVIDIA pitching the Quadro K6000 at? As with the Quadro 6000 this is primarily (and unabashedly) being pitched at the deep pocketed content creation and product design crowds, who can afford to drop several kilobucks on a single card. In these cases the gains from Quadro K6000 are a mix of greater rendering performance and the greater VRAM. The latter in particular may very well be more important than the former, since often the limits in real time workloads is fitting all of the assets into memory rather than drawing them, due to the very severe performance cliff from spilling over into system memory.

NVIDIA’s other big market for Quadro K6000, like Tesla K10 and K20, is the oil and gas industry, who use GPU products both to analyze seismic data and to display it. In this case the more that can be analyzed and the more that can be displayed at once, the more useful the resulting product is.

Moving on, as with Quadro K5000, Quadro K6000 is compatible with NVIDIA’s second generation Maximus technology, allowing for the K6000 to be dedicated to graphics work while compute work is offloaded to a Tesla card. The need for Maximus isn’t quite as great with K6000 as it was K5000 due to the K6000’s much greater compute performance, but offloading via Maximus still offers benefits in some mixed usage workloads by freeing up each device to work on a specialized workload as opposed to consistently context switching back and forth.

Finally, let’s quickly talk about launch details. As is usually the case for Quadro products NVIDIA is announcing the Quadro K6000 a couple months ahead of its ship date, so K6000 is not officially slated to start shipping until sometime in the fall. As always the cards will be sold both individually and through NVIDIA’s usual OEM partners, including Dell, HP, and Lenovo. NVIDIA has yet to announce a price tag for individual K6000 cards, but based on the price of the previous Quadro 6000 cards we’d expect to see them at around $5000-$7000 each.

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  • Jon Tseng - Tuesday, July 23, 2013 - link

    And Crysis...? ;-p Reply
  • Hameedo - Tuesday, July 23, 2013 - link

    Well, a full GK110 @1.0GHz frequency will be about 40% faster than a GTX680/7970 GHz .. so go figure from that ! Reply
  • trajan2448 - Tuesday, July 23, 2013 - link

    Not a gaming card. Different drivers. Will NOT be faster in games than a Titan or 780. Reply
  • daku123 - Tuesday, July 23, 2013 - link

    Core Geforce DX architecture should be present. So IMO it is faster than Titan while gaming! :) Reply
  • dragonsqrrl - Tuesday, July 23, 2013 - link

    I wouldn't be so sure about that. It's been shown many times before that Quadro's don't have nearly as much of a handicap in games as Geforce cards have in content creation applications. While a similarly spec'd Quadro (which is almost never the case) might perform just under a Geforce counterpart in games, the K6000 is also more powerful than any other card from Nvidia. I wouldn't be at all surprised if this card outperformed a Titan in games. Reply
  • Flunk - Tuesday, July 23, 2013 - link

    Don't buy into the hype, the Quadro cards perform about on par with equivalent Geforces in games. The reason for any performance difference at all is that Nvidia purposely disables certain features on Geforce cards (often with drivers) so that they perform worse. They don't similarly disable features on the Quadros.

    If the GPU is the same and the clocks are the same a Quadro and Geforce will equivalently in games.
    Reply
  • SodaAnt - Tuesday, July 23, 2013 - link

    Not really true. I've had various workstation graphics cards over the years, and all of them performed within a few percent (within the margin of error) compared to the same card that was a consumer version. Reply
  • nathanddrews - Wednesday, July 24, 2013 - link

    Strip it down to 3-4GB and sell it for less (not that they would). You certainly don't need that much for 4K gaming, even with 4xMSAA enabled. Not that you'd want to enable AA and lose what little framerate you have anyway. Reply
  • royalestel - Thursday, September 12, 2013 - link

    They already do that. This is really the refined GPU version of the Geforce 680/780 card with lots of extra memory. Realtime (i.e.Game) performance is definitely better with this card. I would, however, appreciate the kind of graphical comparisons between cards that Anadtech does with the actual GeForce cards. Things like a visual sim application would do. In other words, I want to see anisotropic filtering on flat area of the earth with lots of roads and satellite imagery. I currently always have problems with anisotropic filtering in this application. Either the roads disappear into a blur at 5miles, or the distant terrain at the horizon aliases like crazy. There are some newer techniques that might alleviate this (Fourier Texture Filtering), but these are surely far form being implemented in hardware. Reply
  • IanCutress - Tuesday, July 23, 2013 - link

    I'll take four. Just because, you know, stuff. Reply

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