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Deleted member 13524
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$999 for the Titan X.
For me, it seems they're anticipating that Fiji will put up quite a fight.
For me, it seems they're anticipating that Fiji will put up quite a fight.
http://i.imgur.com/tdzmIb3.png
7Tflops single/0.2 double. So that'd be about an 1140MHz clock, boost clock probably. GTC stream for anyone who wants it:
http://www.ustream.tv/channel/gpu-technology-conference-2015
7Tflops single/0.2 double. So that'd be about an 1140MHz clock, boost clock probably. GTC stream for anyone who wants it:
http://www.ustream.tv/channel/gpu-technology-conference-2015
A1xLLcqAgt0qc2RyMz0y
Veteran
Haven't all the Titan's (not the dual GPU one) been released at the $999 price?
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Deleted member 13524
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Yes, but this is a card with 12GB GDDR5, so many were expecting it to go towards $1500.
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Deleted member 13524
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Pascal news:
- 2x Perf/Watt of Maxwell (I think this is related to neural network learning performance though, not games)
- Will inherit the FP16 "mixed precision" from Tegra X1's GPU.
- Claims 4x better FP16 performance than Maxwell. Probably means 2x more FP32 ALUs together with the theoretical 2x better FP16 performance for the mixed precision capability.
- Stacked memory for up to 1TB/s bandwidth
- 2x Perf/Watt of Maxwell (I think this is related to neural network learning performance though, not games)
- Will inherit the FP16 "mixed precision" from Tegra X1's GPU.
- Claims 4x better FP16 performance than Maxwell. Probably means 2x more FP32 ALUs together with the theoretical 2x better FP16 performance for the mixed precision capability.
- Stacked memory for up to 1TB/s bandwidth
iMacmatician
Regular
Maybe it's cheaper than it otherwise would be due to the slow DP rate?
Also, Pascal is apparently "10x Maxwell," when counting FP16, NVLINK, and other improvements.
This is for training neural networks, and includes 2x more GPUs.Maybe it's cheaper than it otherwise would be due to the slow DP rate?
Also, Pascal is apparently "10x Maxwell," when counting FP16, NVLINK, and other improvements.
It's a bit like explaining day to day ups and downs in the stock market: the urge to find a deeper reason in everything.
But sometimes everything can simply be explained by "it's just marketing". There is no rule book that requires Titan to have DP. It's just a label to separate mainstream from ultra high-end. And similarly, there's no magic formula that translates the presence, or not, of DP into a sticker price.
A bunch of people got together in a conference room and decided on a price. It's really that simple.
But sometimes everything can simply be explained by "it's just marketing". There is no rule book that requires Titan to have DP. It's just a label to separate mainstream from ultra high-end. And similarly, there's no magic formula that translates the presence, or not, of DP into a sticker price.
A bunch of people got together in a conference room and decided on a price. It's really that simple.
No, there's nothing broken. From what I heard, the Maxwell with double precision got extra features added and was renamed Pascal. Evidently Nvidia wanted the best possible gaming and deep learning performance for Maxwell, and was content with letting the traditional HPC market wait a little longer.
Moving less data around should be the big win for FP16 and a reason why it resurfaces again.
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Deleted member 13524
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Fun fact: The Titan X has about the same DP throughput as a Geforce GTX 580.
I think the GK110 is "young enough" to be kept in the market a bit longer for DP, and being stuck to 28nm means they had to cut somewhere.
Now nVidia is trying spin that FP32 and FP16 are spectacular for neural networks, which is why they spent 80% of the keynote talking about neural networks.
I think the GK110 is "young enough" to be kept in the market a bit longer for DP, and being stuck to 28nm means they had to cut somewhere.
Now nVidia is trying spin that FP32 and FP16 are spectacular for neural networks, which is why they spent 80% of the keynote talking about neural networks.
You can pack your data in FP16 even right now. There's already hardware support for encoding/decoding to FP16.
What they're adding is hardware support for directly evaluating calculations in FP16.
The big reason that helps performance is that they can pack double the number of variables in the same number of registers (2xFP16 in each 32bit register).
And if you use less registers you gain more latency hiding capabilities, which translates to more throughput.
1/35 DP ? ( i suppose the gpu is 1/32 as GM204 ), i know for Raytracing FP32 this card will be excellent, but even at 999$, you just buy 2 old gpu who had 4-5Tflops FP32 ( 780TI or whatever )...
Arg, they will need to disable at least 8SM on the "gaming" cutdown version for make peoples buy a gpu with 6GB more at this price ( before Evga and other release the "980TI" with 12GB instead of 6.. ( )
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It's not that they're "trying to spin" this. I work in deep learning, and nobody uses FP64. We've been doing FP16 experiments instead, so far they look promising.
Also, they're not pushing GK110 for DP. Rather, GK210, a really different chip (2x register file, 2x shared memory).
Since when has Nvidia ever cared about brand nomenclature confusion?Yes they didI was wrong in thinking that Nvidia would not degrade the Titan name by doing so.
This (Titan X) should not be a Titan at all but rather the GTX 980 Ti (which we know would have gimped DP)
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Deleted member 13524
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I understand that, but GTC has always been their place to brag about their GPU compute and they used to dedicate a good part of their time to FP64 performance.
It's good that they found an area where they could brag about FP16 performance, otherwise it'd be really awkward to talk about a card with very low FP64 performance in there.
I'd bet that GK210 and GK110 come from the very same wafer, only difference being a bit of laser trimming here and there.
With Maxwell NV get rid of the superscalar structure of ALUs. 1:4 or even 1:8 should be very cheap, at least you did not make some mistakes in design. 1:32 is just ridiculous.
GK110 was around since end of 2012 so they needed 2 years to enable SM_37 with bigger caches? All data (CUDA, A1-stepping, time-frame) says it a new chip.
