AIDA64 adds preliminary support for GV104 and GV104M and Hardware IDs

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#5571567
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Well, GV - V stands for Volta, so it won't be a refresh (that's great). And we know it will be 1100 series, not 2000. I guess that's finally some interesting bit of info as of late. Thank you @Hilbert Hagedoorn
#5571571
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Good job Hilbert. And of course thanks to EL1TE.
#5571578
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Administrator
Props go out to EL1TE here on the forums for this spot.
#5571628
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cryohellinc:

Well, GV - V stands for Volta, so it won't be a refresh (that's great). And we know it will be 1100 series, not 2000. I guess that's finally some interesting bit of info as of late. Thank you @Hilbert Hagedoorn
Volta was designed for AI with the tensor cores architecture. that won't be the case here. we know it is gonna use a refined 16nm process node and not a completely new one. Hopefully we will see a big leap like Pascal brought though I fear that won't be the case. also my guess would be higher pricing as well...
#5571631
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HardwareCaps:

Volta was designed for AI with the tensor cores architecture. that won't be the case here. we know it is gonna use a refined 16nm process node and not a completely new one. Hopefully we will see a big leap like Pascal brought though I fear that won't be the case. also my guess would be higher pricing as well...
I don't see why they wouldn't use the same tech, scaled down for the consumer market.
#5571636
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cryohellinc:

I don't see why they wouldn't use the same tech, scaled down for the consumer market.
Tensor cores are optimized for AI workloads. are you suggesting it would be used in consumer graphics as well? Have you seen any support for the tensor core in game engines or games that could suggest that? sounds like a waste of silicon for me. using that space for regular CUDA cores sounds like a better idea, maybe I'm wrong and Nvidia is planning to use tensor cores for its geforce series as well but it sounds very very fishy
#5571642
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We should expect the expected which should be support for Ray-Tracing, new GDDR6 memory and small optimizations and improvements. nothing huge, anything more would be a surprise for me
#5571643
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HardwareCaps:

Tensor cores are optimized for AI workloads. are you suggesting it would be used in consumer graphics as well? Have you seen any support for the tensor core in game engines or games that could suggest that? sounds like a waste of silicon for me. using that space for regular CUDA cores sounds like a better idea, maybe I'm wrong and Nvidia is planning to use tensor cores for its geforce series as well but it sounds very very fishy
Tensor cores are optimized for matrix operations - AI workloads utilize matrix operations but other things do as well. Also RTX is accelerated by Tensor - https://devblogs.nvidia.com/nvidia-optix-ray-tracing-powered-rtx/ but fwiw AMD has implemented it's own denoiser on mixed math FP16 - which next generation consumer Nvidia hardware might also get.
#5571644
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Denial:

Tensor cores are optimized for matrix operations - AI workloads utilize matrix operations but other things do as well. Also RTX is accelerated by Tensor - https://devblogs.nvidia.com/nvidia-optix-ray-tracing-powered-rtx/ but fwiw AMD has implemented it's own denoiser on mixed math FP16 - which next generation consumer Nvidia hardware might also get.
I would be surprised to see tensor cores used for gaming[RTX I already suspected myself for support] maybe it is a refreshing architecture after all.
#5571653
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Nvidia does not let anything go to waste. Even though Volta will be 15 months old by the time 1180 debuts, they're still gonna (re)use Volta SM (they claim 50% more efficient than Pascal). A bit disappointing that they're saving themselves for 7nm, but what can you do... It seems to me that the biggest challenge for Nvidia is not R&D, but how to use the existing IP to create the most optimum sequence of products and launches.
#5571683
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Noisiv:

Nvidia does not let anything go to waste. Even though Volta will be 15 months old by the time 1180 debuts, they're still gonna (re)use Volta SM (they claim 50% more efficient than Pascal). A bit disappointing that they're saving themselves for 7nm, but what can you do... It seems to me that the biggest challenge for Nvidia is not R&D, but how to use the existing IP to create the most optimum sequence of products and launches.
I think you missread the 50%..