GeForce RTX 2080 and 2080 Ti - An Overview Thus far
Lian Li Strimer Review - RGB 24 Pin Extension Cable
Raijintek Orcus 240 AIO cooler review
AMD Ryzen Threadripper 2950X review
AMD Ryzen Threadripper 2990WX review
ASUS ROG SWIFT PG27UQ Monitor review
MSI B450i Gaming PLUS AC review
MSI Radeon RX 570 and 580 MECH 2 8G OC review
Preview: Unboxing Threadripper 2950X & 2990WX
Corsair SPEC Omega RGB review
AIDA64 adds preliminary support for GV104 and GV104M and Hardware IDs
Diagnostic software often is a good source for finding entries, that really never should have been listed. This round it is AIDA that kinda confirms the new Geforce are coming, however, it doesn't mean the author had access to the GPU(s) most likely just device/PCI ID and added them as register in AIDA64.
This is still a drop in the ocean because we need NVIDIA to announce the release date and because people don't believe it until they do. AIDA, however, is listing the GV102, GV102GL, GV104, GV104M, and when you extract and snapshot the pci-ids, you will run into Device ID 1e87 GV104 being listed as GeForce GTX 1180. This is now the second tool adding the entry GV104. AIDA however has a name tagged to it, and that GV is short for GeForce Volta.
Version: 5.97.4679 beta (Aug 06, 2018).
Release notes:
- Hardware Monitoring / new items: CPU1 Package, CPU2 Package, CPU3 Package, CPU4 Package temperatures
- Hardware Monitoring / new items: CPU PLL2, PROM Core, PROM PHY voltages
- NVMe SSD temperature is now the highest temperature sensor reading
- sensor support for Dell SMI of OptiPlex 7060, Precision 7720, Precision 7730, Vostro 3670
- motherboard specific sensor info for Asus Prime H310M-E/BR, ROG Strix B450 Series
- motherboard specific sensor info for Gigabyte B450 Series
- motherboard specific sensor info for MSI MS-7B92
- improved motherboard specific sensor info for ASRock boards
- GPU information for nVIDIA CMP 100-100 (GP100)
- GPU information for nVIDIA CMP 100-200 (GV100)
- GPU information for nVIDIA CMP 100-210 (GV100)
- GPU information for nVIDIA Tesla V100-DGXS-32GB (GV100GL)
- GPU information for nVIDIA Tesla V100-PCIE-32GB (GV100GL)
- GPU information for nVIDIA Tesla V100-SXM2-32GB (GV100GL)
- extended GPU information for Intel i740
- preliminary GPU information for NVIDIA GV102, GV102GL, GV104, GV104M
- identification of AMD A4-9xxx (aka Stoney Ridge)
- Intel Processor Number detection for Core i7-9700K
- Intel Processor Number detection for Core i9-9900K
- VIA Processor Number detection for Nano X2 C4350AL
- fixed: CPU diode temperature measurement for AMD Ryzen 2000 Series
- fixed: sensor support for Asetek VII (Corsair iCUE SiUSBXp.dll issue)
- fixed: RAID member enumeration for Intel NVMe RAID arrays
The IDs of the GPUs are listed, with an entry called GeForce GTX 1180 (thanks EL1TE!):
oxidized
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Member
Posts: 80
Joined: 2017-08-22
#5571571 Posted on: 08/07/2018 10:03 AM
Good job Hilbert. And of course thanks to EL1TE.
Good job Hilbert. And of course thanks to EL1TE.
Hilbert Hagedoorn
Don Vito Corleone
Posts: 32932
Joined: 2000-02-22
Don Vito Corleone
Posts: 32932
Joined: 2000-02-22
#5571578 Posted on: 08/07/2018 10:16 AM
Props go out to EL1TE here on the forums for this spot.
Props go out to EL1TE here on the forums for this spot.
HardwareCaps
Senior Member
Posts: 119
Joined: 2018-05-03
Senior Member
Posts: 119
Joined: 2018-05-03
#5571628 Posted on: 08/07/2018 12:57 PM
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...
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...
cryohellinc
Senior Member
Posts: 1682
Joined: 2014-10-20
Senior Member
Posts: 1682
Joined: 2014-10-20
#5571631 Posted on: 08/07/2018 01:03 PM
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.
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.
HardwareCaps
Senior Member
Posts: 119
Joined: 2018-05-03
Senior Member
Posts: 119
Joined: 2018-05-03
#5571636 Posted on: 08/07/2018 01:08 PM
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
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
HardwareCaps
Senior Member
Posts: 119
Joined: 2018-05-03
Senior Member
Posts: 119
Joined: 2018-05-03
#5571642 Posted on: 08/07/2018 01:20 PM
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
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
Denial
Senior Member
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Joined: 2004-05-16
Senior Member
Posts: 11440
Joined: 2004-05-16
#5571643 Posted on: 08/07/2018 01:27 PM
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.
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.
HardwareCaps
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Posts: 119
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Senior Member
Posts: 119
Joined: 2018-05-03
#5571644 Posted on: 08/07/2018 01:33 PM
I would be surprised to see tensor cores used for gaming maybe it is a refreshing architecture after all.
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 maybe it is a refreshing architecture after all.
Noisiv
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Posts: 6255
Joined: 2010-11-16
#5571653 Posted on: 08/07/2018 02:12 PM
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.
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.
HardwareCaps
Senior Member
Posts: 119
Joined: 2018-05-03
Senior Member
Posts: 119
Joined: 2018-05-03
#5571683 Posted on: 08/07/2018 04:22 PM
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%..
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%..
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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