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Nvidia drops Samsung and uses TSMC for Pascal
So we already mentioned would very likely be made on TSMC 16nm FiNFET. The target release date for this GPU is 2016. The product would be released as GP100 and will be the succesor to the GM200 series GPUs. As it now turns out Samsung indeed was dropped.
Previously, Samsung Electronics competed with TSMC to win a contract to produce the Pascal GPU. According to industry sources on Sept. 15, Nvidia decided to let TSMC mass produce the Pascal GPU, which is scheduled to be released next year, using the production process of 16-nm FinFETs. Some in the industry predicted that both Samsung and TSMC would mass produce the Pascal GPU, but the U.S. firm chose only the Taiwanese firm in the end. Since the two foundries have different manufacturing process of 16-nm FinFETs, the U.S. tech company selected the world's largest foundry for product consistency.
Samsung has strengthened its competitiveness using the production process of 14-nm FinFETs, which it introduced before TSMC did. In particular, the fact that the A9 processors that are featured in the iPhone 6s were produced using the Korean company's production process of 14-nm FinFETs worried the Taiwanese firm's executives. However, the selection of TSMC, which has been Nvidia's partner company for 20 years, is a setback for Samsung, which anticipated a dramatic turnaround in the foundry market.
The reason for Samsung's determination to win the contract for the Pascal GPU lies in the fact that Nvidia's new GPU is highly likely to mark a milestone in the next-gen graphic market.
Experts are saying that Samsung's failure to obtain the contract is mainly attributable to its lack of experience. The fact that the Korean tech giant has become TSMC's rival only two years after it started to produce GPUs itself is considered to have special meaning at the moment.
- See more at: http://www.businesskorea.co.kr/article/ict/12092/no-samsung-gpu-samsung-electronics-fails-win-contract-nvidias-pascal-gpu#sthash.nDSW53sc.dpuf
With the pascal architecture Nvidia as well will make a move towards HBM memory (stacked on die memory), however they will jump right towards generation v2 of HBM, meaning they could inject up-to 32GB pf memory on the GPU. The new details show that the flagship NVIDIA Pascal (Single chip) would feature up to 16 GB HBM2 VRAM that can do 1 TB/s bandwidth.
It is estimated that ther shader processor count for big pascal is anything from 4500 towards 6000 units. Big Pascal made on TSMC's 16 nanometer silicon fab process with a release in Q1 2016.
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Fox2232
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Posts: 11808
Joined: 2012-07-20
#5159956 Posted on: 09/17/2015 01:29 PM
"Nvidia's new GPU is highly likely to mark a milestone in the next-gen graphic market."
What does that mean?
Likely one of Huang's marketing spins along lines of 4 x 6 = 10 for pascal in terms of performance.
(iirc it was 4x memory bandwidth, 6x performance of mixed precision compute, and that should have resulted in 10 times higher total performance...)
"Nvidia's new GPU is highly likely to mark a milestone in the next-gen graphic market."
What does that mean?
Likely one of Huang's marketing spins along lines of 4 x 6 = 10 for pascal in terms of performance.
(iirc it was 4x memory bandwidth, 6x performance of mixed precision compute, and that should have resulted in 10 times higher total performance...)
Denial
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Posts: 14013
Joined: 2004-05-16
Senior Member
Posts: 14013
Joined: 2004-05-16
#5159958 Posted on: 09/17/2015 01:34 PM
Likely one of Huang's marketing spins along lines of 4 x 6 = 10 for pascal in terms of performance.
(iirc it was 4x memory bandwidth, 6x performance of mixed precision compute, and that should have resulted in 10 times higher total performance...)
6x memory 4x mixed precision.
Listen man, don't be mad Huang best at math and marketing. His leather jacket knows no bounds.
Likely one of Huang's marketing spins along lines of 4 x 6 = 10 for pascal in terms of performance.
(iirc it was 4x memory bandwidth, 6x performance of mixed precision compute, and that should have resulted in 10 times higher total performance...)
6x memory 4x mixed precision.
Listen man, don't be mad Huang best at math and marketing. His leather jacket knows no bounds.
Andrew LB
Senior Member
Posts: 1238
Joined: 2012-05-22
Senior Member
Posts: 1238
Joined: 2012-05-22
#5159971 Posted on: 09/17/2015 01:53 PM
Likely one of Huang's marketing spins along lines of 4 x 6 = 10 for pascal in terms of performance.
(iirc it was 4x memory bandwidth, 6x performance of mixed precision compute, and that should have resulted in 10 times higher total performance...)
This isn't AMD we're talking about. nVidia cards are usually very close to marketing claims. Especially when you realize that "Up to..." means "in very select circumstances, usually it's not quite that fast".
Likely one of Huang's marketing spins along lines of 4 x 6 = 10 for pascal in terms of performance.
(iirc it was 4x memory bandwidth, 6x performance of mixed precision compute, and that should have resulted in 10 times higher total performance...)
This isn't AMD we're talking about. nVidia cards are usually very close to marketing claims. Especially when you realize that "Up to..." means "in very select circumstances, usually it's not quite that fast".
Denial
Senior Member
Posts: 14013
Joined: 2004-05-16
Senior Member
Posts: 14013
Joined: 2004-05-16
#5159979 Posted on: 09/17/2015 02:04 PM
Idk man, Nvidia's own slide has a disclaimer at the bottom that said "VERY ROUGH ESTIMATE" and while at the conference he definitely said he was talking about neural networks, half the "news" sites that reported it used misleading as **** titles like "PASCAL 10X FASTER THAN MAXWELL" .. yeah at one very specific thing that no one here is going to use. Not that the second part is Nvidia's fault -- but yeah. Both sides have retarded marketing.
This isn't AMD we're talking about. nVidia cards are usually very close to marketing claims. Especially when you realize that "Up to..." means "in very select circumstances, usually it's not quite that fast".
Idk man, Nvidia's own slide has a disclaimer at the bottom that said "VERY ROUGH ESTIMATE" and while at the conference he definitely said he was talking about neural networks, half the "news" sites that reported it used misleading as **** titles like "PASCAL 10X FASTER THAN MAXWELL" .. yeah at one very specific thing that no one here is going to use. Not that the second part is Nvidia's fault -- but yeah. Both sides have retarded marketing.
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Joined: 2004-05-16
No way we will see a Geforce Pascal in Q1 2016....
Willing to bet my left hand for it
It's usually about 9-10 months from tape out till launch (or at least it was with Fermi/Kepler and Maxwell). According to all the rumors it was taped out back in June so launch should be expected around March 2016, which fits with Nvidia's annual release cycle. It's definitely possible it will get pushed to April, which I guess is technically out of Q1 but yeah, it's most definitely coming around March/April.