NVIDIA Launches Tesla K20, Cont

To put the Tesla K20's performance in perspective, this is going to be a very significant increase in the level of compute performance NVIDIA can offer with the Tesla lineup. The Fermi based M2090 offered 655 GFLOPS of performance with FP64 workloads, while the K20X will straight-up double that with 1.31 TFLOPS. Meanwhile in the 225W envelope the 1.17 TFLOPS K20 will be replacing the 515 GFLOPS M2075, more than doubling NVIDIA’s FP64 performance there. As for FP32 workloads the gains are even greater due to the fact that NVIDIA’s FP64 rate has fallen from ½ on GF100/GF110 Fermi to 1/3 on GK110 Kepler; the 1.33 TFLOPS M2090 for example is being replaced by the 3.95 TFLOPS K20X.

Speaking of FP32 performance, when asked about the K10 NVIDIA told us that K20 would not be replacing K10, rather the two will exist side-by-side. K10 actually has better FP32 performance at 4.5 TFLOPs (albeit split across two GPUs), but as it’s based on the GK104 GPU it lacks some Tesla features like on-die (SRAM) ECC protection and HyperQ/Dynamic Parallelism. For the user base that could already be sufficiently served by the K10 it will continue to exist for those users, while for the FP64 users and users who needed ECC and other Tesla features K20 will now step up to the plate as NVIDIA’s other FP32 compute powerhouse.

The Tesla K20 family will be going up against a number of competitors, both traditional and new. On a macro level the K20 family and supercomputers based on it like Titan will go up against more traditional supercomputers like those based on IBM’s BlueGene/Q hardware, which Titan is just now dethroning in the Top500 list.

A Titan compute board: 4 AMD Opteron (16-core CPUs) + 4 NVIDIA Tesla K20 GPUs

Meanwhile on a micro/individual level the K20 family will be going up against products like AMD’s FirePro S9000 and FirePro S10000, along with Intel’s Xeon Phi, their first product based on their GPU-like MIC architecture. Both the Xeon Phi and FirePro S series can exceed 1 TFLOPS FP64 performance, making them potentially strong competition for the K20. Ultimately these products aren’t going to be separated by their theoretical performance but rather their real world performance, so while NVIDIA has a significant 30%+ lead in theoretical performance over their most similar competition (FirePro S9000 and Xeon Phi) it's too early to tell whether the real world performance difference will be quite that large, or conversely whether it will be even larger. Tool chains will also play a huge part here, with K20 relying predominantly on CUDA, the FirePro S on OpenCL, and the Xeon Phi on x86 coupled with Phi-specific tools.

Finally, let’s talk about pricing and availability. NVIDIA’s previous projection for K20 family availability was December, but they have now moved ahead by a couple of weeks. K20 products are already shipping to NVIDIA’s server partners, with those partners and NVIDIA both getting ready to ship to buyers soon after that. NVIDIA’s general guidance is November-December, so some customers should have K20 cards in their hands before the end of the month.

Meanwhile pricing will be in the $3000 to $5000 range, owing mostly to the fact that NVIDIA’s list prices rarely line up with the retail price of their cards, or what their server partners charge customers for specific cards. Back at the Quadro K5000 launch NVIDIA announced a MSRP of $3199 for the K20, and we’d expect the shipping K20 to trend close to that. Meanwhile we expect the K20X to trend closer to $4000-$5000, again depending on various markup factors.

K20 Pricing As Announced During Quadro K5000 Launch

As for the total number of cards they’re looking at shipping and the breakdown of K20/K20X, NVIDIA’s professional solutions group is as mum as usual, but whatever it is we’re being told it won’t initially be enough.  NVIDIA is already taking pre-orders through their server partners, with a very large number of pre-orders outstripping the supply of cards and creating a backlog.

Interestingly NVIDIA tells us that their yields are terrific – a statement backed up in their latest financial statement – so the problem NVIDIA is facing appears to be demand and allocation rather than manufacturing. This isn’t necessarily a good problem to have as either situation involves NVIDIA selling fewer Teslas than they’d like, but it’s the better of the two scenarios. Similarly, for the last month NVIDIA has been offering time on a K20 cluster to customers, only for it to end up being oversubscribed due to the high demand from customers. So NVIDIA has no shortage of customers at the moment.

Ultimately the Tesla K20 launch appears to be shaping up very well for NVIDIA. Fermi was NVIDIA’s first “modern” compute architecture, and while it didn’t drive the kind of exponential growth that NVIDIA had once predicted it was very well received regardless. Though there’s no guarantee that Tesla K20 will finally hit that billion dollar mark, the K20 enthusiasm coming out of NVIDIA is significant, legitimate, and infectious. Powering the #1 computer in the Top500 list is a critical milestone for the company’s Tesla business and is just about the most positive press the company could ever hope for. With Titan behind them, Tesla K20 may be just what the company needs to finally vault themselves into a position as a premiere supplier of HPC processors.

NVIDIA Launches Tesla K20 GK110: The GPU Behind Tesla K20
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  • kwrzesien - Monday, November 12, 2012 - link

    My first First! Okay, now back to work.
  • DigitalFreak - Monday, November 12, 2012 - link

    I wouldn't call riding the short-bus work...
  • kwrzesien - Monday, November 12, 2012 - link

    Hey, I wouldn't call reading news work either!
  • CeriseCogburn - Thursday, November 29, 2012 - link

    Thank you insane amd fanboys, for months on end, you've been screaming that nVidia yields are horrible and they're late to the party, while nVidia itself has said yields are great, especially in the GPU gaming card space.
    now the big amd fanboy lie is exposed.
    " Interestingly NVIDIA tells us that their yields are terrific – a statement backed up in their latest financial statement – so the problem NVIDIA is facing appears to be demand and allocation rather than manufacturing."
    (that's in the article above amd fanboys, the one you fainted...after raging... trying to read)
    I'm so glad this site is so fair, and as we see, as usual, what nVidia has been telling them is considered a lie for a very, very long time, until the proof that it was and is actually the exact truth and has been all along is slammed hard into the obstinate amd fan brain.
    So nVidia NEVER had an ongoing yield issue on 600 series..
    That's what they said all along, and the liars, knows as amd fanboys, just lied instead, even after they were informed over and over again that nVidia did not buy up a bunch of manufacturing time early.
    Thanks amd fanboys, months and months of your idiot lies makes supporting amd that much harder, and now they are truly dying.
    Thank you for destroying competition.
  • mayankleoboy1 - Monday, November 12, 2012 - link

    Anand, I am a Nvidia fanboi.
    But still i was surprised by your AMD S10000 coverage. That merited a page in the _pipeline_ section.
    And a product from Nvidia gets a front seat, _3 page_ article ?

    Bias, or page hits ?
  • Ryan Smith - Monday, November 12, 2012 - link

    I had more to write about the K20, it's as simple as that. This is the first chance I've had to write in-depth about GK110, whereas S10000 is a dual-chip board using an existing GPU.
  • lx686x - Monday, November 12, 2012 - link

    Ohhh the W9000/8000 review that never got a promised part 2? And the S9000 and S7000 that was also thrown in the pipeline?
  • tviceman - Monday, November 12, 2012 - link

    Just like the gtx650 that never got it's own review. Get over it.
  • lx686x - Monday, November 12, 2012 - link

    It wasn't promised, get over it.
  • The Von Matrices - Tuesday, November 13, 2012 - link

    It was promised, but it never was published.


    "We’ll be looking at the GTX 650 in the coming week, at which point we should have an answer to that question."

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