Is there an RTX Titan due soon?

Kippa

Senior member
Dec 12, 2011
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I know there is the Titan V, which I think is the latest Titan. I was just wondering if there is going to be a new Titan based on the new RTX. Looking for something with a lot more vram than a 2080ti and less than a high end quadro, with RTX.
 

f2bnp

Member
May 25, 2015
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Doubtful. 2080Ti already uses TU102 and even if the moniker was not enough to justify this reasoning, I'm sure the size alone at 750mm2 means there isn't a bigger chip around the corner.
In fact, some people are speculating that Nvidia probably wanted to brand the 2080Ti as the Titan of this generation, but were forced to release it as part of the "mainstream"/gaming cards because the 2080 was completely underwhelming.

It's certainly an interesting thought.
 

PeterScott

Platinum Member
Jul 7, 2017
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Doubtful. 2080Ti already uses TU102 and even if the moniker was not enough to justify this reasoning, I'm sure the size alone at 750mm2 means there isn't a bigger chip around the corner.
In fact, some people are speculating that Nvidia probably wanted to brand the 2080Ti as the Titan of this generation, but were forced to release it as part of the "mainstream"/gaming cards because the 2080 was completely underwhelming.

It's certainly an interesting thought.

It has nothing to do with 2080 perf. For several generations Titan has been an early x80Ti. It doesn't really matter what if they called it Titan, or 2080 Ti, it would have no impact on 2080 place in the stack.

The real reason for no Turing Titan, is that Titan marketing doesn't belong to gaming cards anymore.

Until Titan Volta, the titans were early version of the x80 Ti, and they were still gaming cards. Look at the NVidia Pages for Titan Kepler, Maxwell and Pascal: They are all about gaming.

Look at Titan Volta: It doesn't mention gaming.

So is Titan Turning coming? Nope, because it is essentially already here. It's just called 2080Ti.
 
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Mopetar

Diamond Member
Jan 31, 2011
8,000
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If it's just a matter of naming, everyone would have been much happier if the 2070 was the 2060, the 2080 was the 2070, and the 2080 Ti was the 2080.

The prices would still suck, but at least there would be hope of something yet to come.
 

LTC8K6

Lifer
Mar 10, 2004
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RTX Quadro 6K/8K has 4608 cores, ti has 4352. Not sure if that means you can have a card beyond the ti?
 

crisium

Platinum Member
Aug 19, 2001
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RTX Quadro 6K/8K has 4608 cores, ti has 4352. Not sure if that means you can have a card beyond the ti?

I'm sure it means we "can" have one beyond the Ti. They could release a 4608 core 12GB card, and either call it the Titan or any other name like a 2085.

Even if this card releases, I wouldn't expect more than 12GB. So OP if you're VRAM limited by 11GB and 12GB is still not enough, there's probably not gonna be a solution other than Titan V or Quadro cards anytime soon.

They will release a card like this only if it makes sense. It would cost the same to make as a 2080 Ti other than the negligible extra cost of 1GB of VRAM. But with the 2080 Ti already at $1,200, what would they price it at? $1,500? $2k? Would many people pay hundreds more for 3-4% faster performance and 9% more VRAM?
 
Last edited:

Qwertilot

Golden Member
Nov 28, 2013
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Just to be cheeky I will mention that it is now a fairly long time since GV100 launched, and the AI market is super competitive. So a new giant 7nm compute based thing could well arrive sooner than you'd expect.

That'll then take ages to drift down to Titan and be no use for gaming anyway
 

EXCellR8

Diamond Member
Sep 1, 2010
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Anything with "TITAN" on it is going to be at least $500 more than what's already available... cool yer jets
 

PeterScott

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Jul 7, 2017
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Probably not, nv will be releasing 7nm GPUs next year. RTX 20 series is just a stop gap.

If it was just stop Gap they would not have gone as far as building three differrent dies so far.

They might add 7nm to the 2000 series next year, but 2000 series won't be replaced or significantly upgraded next year.
 

Omegaboost

Member
Oct 24, 2016
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If it was just stop Gap they would not have gone as far as building three differrent dies so far.

They might add 7nm to the 2000 series next year, but 2000 series won't be replaced or significantly upgraded next year.

Nvidia had no choice but to tape out 3 dies due to the huge differences in die size between GPU tiers caused by all the extra RTX hardware.

For reference:
TU102: 754mm2 RTX2080Ti
TU104: 545mm2 RTX2080
TU106: 445mm2 RTX2070

GP102: 471mm2 GTX1080Ti
GP104: 314mm2 GTX1080/1070

It's much cheaper to mass produce GP104 314mm2 vs TU104 545mm2 chips, so it made sense to cut some GP104 chips down instead of taping out a marginally smaller chip for the GTX1070.

The RTX2080 TU104 chip is already a lot more expensive to produce than a GTX1080Ti GP104 chip so it would be ridiculous to sell it @ RTX2070 prices.

Whether or not nvidia will call their 7nm GPUs a 2000 series or not does not matter. Fact is current 12nm 2000 series GPUs will be eclipsed by 7nm versions next year. It could be a straight die shrink with no IPC gains at least they'll clock higher/use less power.

Switching to 7nm will improve yields and cut costs for nvidia since current turing chips are so massive. It doesn't matter if AMD is uncompetitive, it's in nvidia's own financial interests to switch to 7nm as soon as yields are at acceptable levels.
 
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PeterScott

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Jul 7, 2017
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Nvidia had no choice but to tape out 3 dies due to the huge differences in die size between GPU tiers caused by all the extra RTX hardware.

For reference:
TU102: 754mm2 RTX2080Ti
TU104: 545mm2 RTX2080
TU106: 445mm2 RTX2070

GP102: 471mm2 GTX1080Ti
GP104: 314mm2 GTX1080/1070

It's much cheaper to mass produce GP104 314mm2 vs TU104 545mm2 chips, so it made sense to cut some GP104 chips down instead of taping out a marginally smaller chip for the GTX1070.

The RTX2080 TU104 chip is already a lot more expensive to produce than a GTX1080Ti GP104 chip so it would be ridiculous to sell it @ RTX2070 prices.

Whether or not nvidia will call their 7nm GPUs a 2000 series or not does not matter. Fact is current 12nm 2000 series GPUs will be eclipsed by 7nm versions next year. It could be a straight die shrink with no IPC gains at least they'll clock higher/use less power.

Switching to 7nm will improve yields and cut costs for nvidia since current turing chips are so massive. It doesn't matter if AMD is uncompetitive, it's in nvidia's own financial interests to switch to 7nm as soon as yields are at acceptable levels.

IMO, Die size delta is not significant enough between 104 and 106 to warrant up front costs on a stop gap, short-term run. Those are planned for a long run.
 

Omegaboost

Member
Oct 24, 2016
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IMO, Die size delta is not significant enough between 104 and 106 to warrant up front costs on a stop gap, short-term run. Those are planned for a long run.

Bigger chip = fewer chips per wafer but it also means lower yield per wafer too. Look up wafer yield formula. Chip cost does not scale linearly to chip size.

You can believe whatever you want, but nvidia would be stupid not to switch to 7nm next year /w die sizes this big.
 

PeterScott

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Jul 7, 2017
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Bigger chip = fewer chips per wafer but it also means lower yield per wafer too. Look up wafer yield formula. Chip cost does not scale linearly to chip size.

You can believe whatever you want, but nvidia would be stupid not to switch to 7nm next year /w die sizes this big.

I totally get die size cost issues.

But you seem to be missing the other part of the equation: The up front costs. Numbers I saw for mask cost alone for a ~14nm chip were about $80 Million dollars. You have to sell a huge pile of cards to pay that off, out of unit profits.

TU104 is really not that much bigger than the Vega 64/56 die, and AMD used the same die for both tiers.

If NVidia was really planning for a short term run, it doesn't make sense to spend an extra 80 million to have unique dies at each tier if you weren't really going to have time to amortize the hefty up front costs.

It would make MUCH more sense on a short term run to use one die and spread the up front costs across two tiers.

IMO, the first 7nm parts might most likely be for 2060/2050. Much less risk doing a small die on a new process.

Later after the process is more mature (+less expensive), and TU102-106 have been amortized, they can do 7nm parts in that class.
 

Omegaboost

Member
Oct 24, 2016
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6
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I totally get die size cost issues.

But you seem to be missing the other part of the equation: The up front costs. Numbers I saw for mask cost alone for a ~14nm chip were about $80 Million dollars. You have to sell a huge pile of cards to pay that off, out of unit profits.

TU104 is really not that much bigger than the Vega 64/56 die, and AMD used the same die for both tiers.

If NVidia was really planning for a short term run, it doesn't make sense to spend an extra 80 million to have unique dies at each tier if you weren't really going to have time to amortize the hefty up front costs.

It would make MUCH more sense on a short term run to use one die and spread the up front costs across two tiers.

IMO, the first 7nm parts might most likely be for 2060/2050. Much less risk doing a small die on a new process.

Later after the process is more mature (+less expensive), and TU102-106 have been amortized, they can do 7nm parts in that class.

Where did you get the $80mill figure? An intel engineer says only $2-3mill for 16/14nm finfet: https://www.quora.com/How-much-does-it-cost-to-tapeout-a-28-nm-14-nm-and-10-nm-chip

The reason Vega64/56 uses the same die is because 64 is the full fat GPU with all shaders enabled, so the 56 has salvaged dies with defective shaders.

The same is true for all big dies like TU102: full fat Quadro RTX6000 & cut down 2080Ti.

TU104: Full fat Quadro RTX5000 & cut down RTX2080

nVidia is already spreading upfront costs (which are minimal) across different tiers.
 
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Omegaboost

Member
Oct 24, 2016
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6
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I totally get die size cost issues.

But you seem to be missing the other part of the equation: The up front costs. Numbers I saw for mask cost alone for a ~14nm chip were about $80 Million dollars. You have to sell a huge pile of cards to pay that off, out of unit profits.

TU104 is really not that much bigger than the Vega 64/56 die, and AMD used the same die for both tiers.

If NVidia was really planning for a short term run, it doesn't make sense to spend an extra 80 million to have unique dies at each tier if you weren't really going to have time to amortize the hefty up front costs.

It would make MUCH more sense on a short term run to use one die and spread the up front costs across two tiers.

IMO, the first 7nm parts might most likely be for 2060/2050. Much less risk doing a small die on a new process.

Later after the process is more mature (+less expensive), and TU102-106 have been amortized, they can do 7nm parts in that class.

Furthermore, even IF a 12nm tapeout costs $80mill, nvidia is making $1.8billion per quarter from gaming sales alone: https://www.anandtech.com/show/13235/nvidia-announces-q2-fy-2019-results-record-revenue

Their sales volume is so high, a quarter of sales is more than enough to justify separate tape outs.
 

PeterScott

Platinum Member
Jul 7, 2017
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Where did you get the $80mill figure? An intel engineer says only $2-3mill for 16/14nm finfet: https://www.quora.com/How-much-does-it-cost-to-tapeout-a-28-nm-14-nm-and-10-nm-chip

The reason Vega64/56 uses the same die is because 64 is the full fat GPU with all shaders enabled, so the 56 has salvaged dies with defective shaders.

The same is true for all big dies like TU102: full fat Quadro RTX6000 & cut down 2080Ti.

TU104: Full fat Quadro RTX5000 & cut down RTX2080

nVidia is already spreading upfront costs (which are minimal) across different tiers.

This is what I was remembering:
https://semiengineering.com/finfet-rollout-slower-than-expected/
"But perhaps the biggest issue is cost. The average IC design cost for a 28nm device is about $30 million, according to Gartner. In comparison, the IC design cost for a mid-range 14nm SoC is about $80 million."

The point being upfront costs were $30 million at 28nm and have increased to $80 million at 14nm, a lot of it due to a massive increase in masking layers.

Regardless how profitable a company is, each project will have a profitable business case. That is actually how profitable companies stay profitable. They maximize every business case.

If you are making a stopgap part, it makes a heck of LOT more sense to just do it with one design when they are so close in size/purpose, since you know it's for the short term, and you can save a tens of millions of dollars on up front costs.

IMO we wont see a 7nm respin/replacement on TU 104/106 within a year, because it appears that NVidia is counting on long enough amortization cycle for them to warrant separate parts.

Time will tell.
 

Omegaboost

Member
Oct 24, 2016
35
6
71
This is what I was remembering:
https://semiengineering.com/finfet-rollout-slower-than-expected/
"But perhaps the biggest issue is cost. The average IC design cost for a 28nm device is about $30 million, according to Gartner. In comparison, the IC design cost for a mid-range 14nm SoC is about $80 million."

The point being upfront costs were $30 million at 28nm and have increased to $80 million at 14nm, a lot of it due to a massive increase in masking layers.

Regardless how profitable a company is, each project will have a profitable business case. That is actually how profitable companies stay profitable. They maximize every business case.

If you are making a stopgap part, it makes a heck of LOT more sense to just do it with one design when they are so close in size/purpose, since you know it's for the short term, and you can save a tens of millions of dollars on up front costs.

IMO we wont see a 7nm respin/replacement on TU 104/106 within a year, because it appears that NVidia is counting on long enough amortization cycle for them to warrant separate parts.

Time will tell.

You're misunderstanding the article. The $80mill is for designing a 14nm SoC from the ground up, not the just the tape out. Gartner’s Wang said. “A high-end SoC can be double this amount, and a low-end SoC with re-used IP can be half of the amount.”

When they're talking about reusing IP to reduce costs it means most of what they're talking about is design cost, not tape out.

Turing design costs are already fixed, nVidia designs everything in house then scales it down for smaller dies. The only extra cost for producing different chips is the tape out which is only $2-3mill.
 

PeterScott

Platinum Member
Jul 7, 2017
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You're misunderstanding the article. The $80mill is for designing a 14nm SoC from the ground up, not the just the tape out. Gartner’s Wang said. “A high-end SoC can be double this amount, and a low-end SoC with re-used IP can be half of the amount.”

When they're talking about reusing IP to reduce costs it means most of what they're talking about is design cost, not tape out.

Turing design costs are already fixed, nVidia designs everything in house then scales it down for smaller dies. The only extra cost for producing different chips is the tape out which is only $2-3mill.

I think you are misunderstanding (willfully?):
"“A high-end SoC can be double this amount, and a low-end SoC with re-used IP can be half of the amount.”

It doesn't reduce from $80 Million to 2$Million with reuse. At best It cuts it in half so $40 million.

Also the $80 Million didn't include mask costs:
Add an extra 60% (to that cost) if embedded software development and mask costs are included,”

It's definitely OVER $40 million no matter how you look at it.

As I said. IMO the choice to pay the extra upfront costs running into tens of millions of dollars, is a contraindication that this is a short term, stop gap part.

Time will tell if I am right, but I don't expect to see these parts replaced within a year.
 

PeterScott

Platinum Member
Jul 7, 2017
2,605
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Thank you for the confirmation. $80 million for a tape out? LOL.

I never said tapeout. I said "up front costs", and I provided the link for that. Up front costs are design/tapeout and masking layers. Everything done until you are ready to enter production. Which was confirmed in my link at ~$80 Million, or about half that with IP reuse.
 
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