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NVIDIA Titan V Benchmarks

jaysangwan32
By jaysangwan32
in Tech News
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1 hour ago, Zeeus said:

I expect the gain to be a lot more in games... what the fuck is this? 26% better in game? Im pretty sure the jump from titan x maxwell and titan xp was much bigger than that... so is this a failed gaming architecture that they are advertising towards AI because its not very good in games? Idk?

It's clearly "good" in games, but it's being advertised for deep learning. The fact that there are tensor cores reflects that its target market is, in fact, machine learning applications, and thus is most likely not a "failed gaming architecture." Not every card is made for gamer culture. 

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Posted (edited)
1 hour ago, Zeeus said:

I expect the gain to be a lot more in games... what the fuck is this? 26% better in game? Im pretty sure the jump from titan x maxwell and titan xp was much bigger than that... so is this a failed gaming architecture that they are advertising towards AI because its not very good in games? Idk?

5120/3840 is 133%, so 26% doesn't farfetched.

 

EDIT: There's also the fact that Titan V runs slower than Titan Xp

 

EDIT 2: Paper napkin math shows that taking account of both clock speeds and shader count, the range is really between 13% better to 31% better, assuming it doesn't go beyond the advertised boost speeds. So yeah, an improvement 26% still sounds reasonable.

 

EDIT 3 (I should stop this): Also the reason why Titan Xp had a huge performance jump over Titan X Maxwell is because not only was there a 25% bump in shaders, but a 40% bump in clock speed. Combine the two together and you get 65% (or something, I dunno).

Edited by M.Yurizaki

I have a blog! And a list of guides I've posted

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8 hours ago, The Benjamins said:

How do you get 11GB out of 3 stacks of 4GB HBM? how do they reduce it to 3?

I can see 8GB of HBM2.

 

1 hour ago, jaysangwan32 said:

They'll probably reduce to the ~700 USD like the 1080ti through reducing tensor cores, which don't seem to be beneficial for gaming.

The cost and spec of the GTX1180Ti are still up in the air but lookinh at the GTX1080Ti specs which is similar to the Titan xp is likely to be the same case. 8GB HMB seems to be plenty for 4K but barely enough for 8K.

Budget? Uses? Currency? Location? Operating System? Peripherals? Monitor? Use PCPartPicker wherever possible. 

Quote whom you're replying to, and set option to follow your topics. Or Else we can't see your reply.

 

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9 minutes ago, dragoon20005 said:

 

The cost and spec of the GTX1180Ti are still up in the air but lookinh at the GTX1080Ti specs which is similar to the Titan xp is likely to be the same case. 8GB HMB seems to be plenty for 4K but barely enough for 8K.

If they're plenty for 4k then that's fine by me honestly. Hopefully the new x80 cards will allow the "upcoming" ASUS and Acer 4k 120hz monitors worth purchasing

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58 minutes ago, M.Yurizaki said:

Tensor core is just a fancy term for hardware 4x4 FP16 matrix FMA. So unless a game actually uses a lot of FP16 matrix math, tensor cores are going to do jack crap for gaming.

I am not saying gaming I am saying stuff in games and your PC. Like AI in games could actually be incredibly smart now

▓ƆԀ▓ S▓₱▓Ɇ▓c▓s▓: i7 6ʇɥפᴉƎ00K (4.4ghz), Asus DeLuxe X99A II, GT҉X҉1҉0҉8҉0 Zotac Amp ExTrꍟꎭe),Si6F4Gb D???????r PlatinUm, EVGA G2 Sǝʌǝᘉ5ᙣᙍᖇᓎᙎᗅᖶt, Phanteks Enthoo Primo, 3TB WD Black, 500gb 850 Evo, H100iGeeTeeX, Windows 10, K70 R̸̢̡̭͍͕̱̭̟̩̀̀̃́̃͒̈́̈́͑̑́̆͘͜ͅG̶̦̬͊́B̸͈̝̖͗̈́, G502, HyperX Cloud 2s, Asus MX34. פN∩SW∀S 960 EVO

Just keeping this here as a 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Posted
6 minutes ago, M.Yurizaki said:

You mean it isn't competent enough?

You have to agree though, imagine The Witcher 4 with super hyper enhanced AI allowing far more multiple possible outcomes depending on how you behave with each of the AI making almost each instance of the game you have unique... I'd buy Tensor Cores for that

Personal Desktop":

CPU: Intel Core i7 10700K @5ghz |~| Cooling: bq! Dark Rock Pro 4 |~| MOBO: Gigabyte Z490UD ATX|~| RAM: 16gb DDR4 3333mhzCL16 G.Skill Trident Z |~| GPU: RX 6900XT Sapphire Nitro+ |~| PSU: Corsair TX650M 80Plus Gold |~| Boot:  SSD WD Green M.2 2280 240GB |~| Storage: 1x3TB HDD 7200rpm Seagate Barracuda + SanDisk Ultra 3D 1TB |~| Case: Fractal Design Meshify C Mini |~| Display: Toshiba UL7A 4K/60hz |~| OS: Windows 10 Pro.

Luna, the temporary Desktop:

CPU: AMD R9 7950XT  |~| Cooling: bq! Dark Rock 4 Pro |~| MOBO: Gigabyte Aorus Master |~| RAM: 32G Kingston HyperX |~| GPU: AMD Radeon RX 7900XTX (Reference) |~| PSU: Corsair HX1000 80+ Platinum |~| Windows Boot Drive: 2x 512GB (1TB total) Plextor SATA SSD (RAID0 volume) |~| Linux Boot Drive: 500GB Kingston A2000 |~| Storage: 4TB WD Black HDD |~| Case: Cooler Master Silencio S600 |~| Display 1 (leftmost): Eizo (unknown model) 1920x1080 IPS @ 60Hz|~| Display 2 (center): BenQ ZOWIE XL2540 1920x1080 TN @ 240Hz |~| Display 3 (rightmost): Wacom Cintiq Pro 24 3840x2160 IPS @ 60Hz 10-bit |~| OS: Windows 10 Pro (games / art) + Linux (distro: NixOS; programming and daily driver)
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Posted
9 hours ago, Tedny said:

Still not a 4k card, maybe next xx80 ti will be better for games, but it like year so more until it 

Yes it is. Wccf benchmarked it for games already. There's only two titles under 60fps, and the 99th percentile is still 52.

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5 minutes ago, Princess Cadence said:

You have to agree though, imagine The Witcher 4 with super hyper enhanced AI allowing far more multiple possible outcomes depending on how you behave with each of the AI making almost each instance of the game you have unique... I'd buy Tensor Cores for that

Tensor cores do not do AI actuation/processing. They only do training. AI routines themselves still run on your classical CPU and GPU circuitry.

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12 minutes ago, M.Yurizaki said:

You mean it isn't competent enough?

Lol 

▓ƆԀ▓ S▓₱▓Ɇ▓c▓s▓: i7 6ʇɥפᴉƎ00K (4.4ghz), Asus DeLuxe X99A II, GT҉X҉1҉0҉8҉0 Zotac Amp ExTrꍟꎭe),Si6F4Gb D???????r PlatinUm, EVGA G2 Sǝʌǝᘉ5ᙣᙍᖇᓎᙎᗅᖶt, Phanteks Enthoo Primo, 3TB WD Black, 500gb 850 Evo, H100iGeeTeeX, Windows 10, K70 R̸̢̡̭͍͕̱̭̟̩̀̀̃́̃͒̈́̈́͑̑́̆͘͜ͅG̶̦̬͊́B̸͈̝̖͗̈́, G502, HyperX Cloud 2s, Asus MX34. פN∩SW∀S 960 EVO

Just keeping this here as a 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̌̅̒̾̈́̆͌̌̾̎̽̐̅̏́̈̔͛̀̋̃͊̒̓͗͒̑͒̃͂̌̄̇̑̇͛̆̾͛̒̇̍̒̓̀̈́̄̐͂̍͊͗̎̔͌͛̂̏̉̊̎͗͊͒̂̈̽̊́̔̊̃͑̈́̑̌̋̓̅̔́́͒̄̈́̈̂͐̈̅̈̓͌̓͊́̆͌̉͐̊̉͛̓̏̓̅̈́͂̉̒̇̉̆̀̍̄̇͆͛̏̉̑̃̓͂́͋̃̆̒͋̓͊̄́̓̕̕̕̚͘͘͘̚̕̚͘̕̕͜͜͝͝͝͠͝͝͝͝͠ͅS̷̢̨̧̢̡̨̢̨̢̨̧̧̨̧͚̱̪͇̱̮̪̮̦̝͖̜͙̘̪̘̟̱͇͎̻̪͚̩͍̠̹̮͚̦̝̤͖̙͔͚̙̺̩̥̻͈̺̦͕͈̹̳̖͓̜͚̜̭͉͇͖̟͔͕̹̯̬͍̱̫̮͓̙͇̗̙̼͚̪͇̦̗̜̼̠͈̩̠͉͉̘̱̯̪̟͕̘͖̝͇̼͕̳̻̜͖̜͇̣̠̹̬̗̝͓̖͚̺̫͛̉̅̐̕͘͜͜͜͜ͅͅͅ.̶̨̢̢̨̢̨̢̛̻͙̜̼̮̝̙̣̘̗̪̜̬̳̫̙̮̣̹̥̲̥͇͈̮̟͉̰̮̪̲̗̳̰̫̙͍̦̘̠̗̥̮̹̤̼̼̩͕͉͕͇͙̯̫̩̦̟̦̹͈͔̱̝͈̤͓̻̟̮̱͖̟̹̝͉̰͊̓̏̇͂̅̀̌͑̿͆̿̿͗̽̌̈́̉̂̀̒̊̿͆̃̄͑͆̃̇͒̀͐̍̅̃̍̈́̃̕͘͜͜͝͠͠z̴̢̢̡̧̢̢̧̢̨̡̨̛̛̛̛̛̛̛̛̲͚̠̜̮̠̜̞̤̺͈̘͍̻̫͖̣̥̗̙̳͓͙̫̫͖͍͇̬̲̳̭̘̮̤̬̖̼͎̬̯̼̮͔̭̠͎͓̼̖̟͈͓̦̩̦̳̙̮̗̮̩͙͓̮̰̜͎̺̞̝̪͎̯̜͈͇̪̙͎̩͖̭̟͎̲̩͔͓͈͌́̿͐̍̓͗͑̒̈́̎͂̋͂̀͂̑͂͊͆̍͛̄̃͌͗̌́̈̊́́̅͗̉͛͌͋̂̋̇̅̔̇͊͑͆̐̇͊͋̄̈́͆̍̋̏͑̓̈́̏̀͒̂̔̄̅̇̌̀̈́̿̽̋͐̾̆͆͆̈̌̿̈́̎͌̊̓̒͐̾̇̈́̍͛̅͌̽́̏͆̉́̉̓̅́͂͛̄̆͌̈́̇͐̒̿̾͌͊͗̀͑̃̊̓̈̈́̊͒̒̏̿́͑̄̑͋̀̽̀̔̀̎̄͑̌̔́̉̐͛̓̐̅́̒̎̈͆̀̍̾̀͂̄̈́̈́̈́̑̏̈́̐̽̐́̏̂̐̔̓̉̈́͂̕̚̕͘͘̚͘̚̕̚̚̚͘̕̕̕͜͜͝͠͠͝͝͝͝͠͝͝͝͠͝͝͝͝͝͝ͅͅͅī̸̧̧̧̡̨̨̢̨̛̛̘͓̼̰̰̮̗̰͚̙̥̣͍̦̺͈̣̻͇̱͔̰͈͓͖͈̻̲̫̪̲͈̜̲̬̖̻̰̦̰͙̤̘̝̦̟͈̭̱̮̠͍̖̲͉̫͔͖͔͈̻̖̝͎̖͕͔̣͈̤̗̱̀̅̃̈́͌̿̏͋̊̇̂̀̀̒̉̄̈́͋͌̽́̈́̓̑̈̀̍͗͜͜͠͠ͅp̴̢̢̧̨̡̡̨̢̨̢̢̢̨̡̛̛͕̩͕̟̫̝͈̖̟̣̲̖̭̙͇̟̗͖͎̹͇̘̰̗̝̹̤̺͉͎̙̝̟͙͚̦͚͖̜̫̰͖̼̤̥̤̹̖͉͚̺̥̮̮̫͖͍̼̰̭̤̲͔̩̯̣͖̻͇̞̳̬͉̣̖̥̣͓̤͔̪̙͎̰̬͚̣̭̞̬͎̼͉͓̮͙͕̗̦̞̥̮̘̻͎̭̼͚͎͈͇̥̗͖̫̮̤̦͙̭͎̝͖̣̰̱̩͎̩͎̘͇̟̠̱̬͈̗͍̦̘̱̰̤̱̘̫̫̮̥͕͉̥̜̯͖̖͍̮̼̲͓̤̮͈̤͓̭̝̟̲̲̳̟̠͉̙̻͕͙̞͔̖͈̱̞͓͔̬̮͎̙̭͎̩̟̖͚̆͐̅͆̿͐̄̓̀̇̂̊̃̂̄̊̀͐̍̌̅͌̆͊̆̓́̄́̃̆͗͊́̓̀͑͐̐̇͐̍́̓̈́̓̑̈̈́̽͂́̑͒͐͋̊͊̇̇̆̑̃̈́̎͛̎̓͊͛̐̾́̀͌̐̈́͛̃̂̈̿̽̇̋̍͒̍͗̈͘̚̚͘̚͘͘͜͜͜͜͜͜͠͠͝͝ͅͅͅ☻♥■∞{╚mYÄÜXτ╕○\╚Θº£¥ΘBM@Q05♠{{↨↨▬§¶‼↕◄►☼1♦  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Posted
10 minutes ago, Princess Cadence said:

You have to agree though, imagine The Witcher 4 with super hyper enhanced AI allowing far more multiple possible outcomes depending on how you behave with each of the AI making almost each instance of the game you have unique... I'd buy Tensor Cores for that

Most games today have AI that's smart enough to react to what you're doing. They just lack fine motor skills to perform some actions with more finesse. And if you want the something like outcomes that affect the actual plot or something itself, then that's not an AI thing. Unless you really want an AI trying to make a story which at the rate of things I don't think AI is capable of doing. Well, anything coherent.

 

The other problem is you need to make sure your AI isn't too smart. The game needs to be fun. And to be fun, you should be able to win. I don't think Call of Duty would be fun even on Recruit if the AI suddenly had Navy SEAL level tactics. The other part is sometimes the AI is constrained at what it can do. If the AI is given hallways with barrels for cover, that "finding cover" aspect isn't going to look impressive. Also a lot of times you don't pay attention to what they're really doing. The enemy in front of you may look dumb, but you didn't see two others going around to flank you and then suddenly you died.

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24 minutes ago, Bit_Guardian said:

Tensor cores do not do AI actuation/processing. They only do training. AI routines themselves still run on your classical CPU and GPU circuitry.

It's all a matter of coding stuff though, I know this will never be effectively used as much, doesn't change the fact there are people wishing we advance so much regardless, the more we can take advantage in real time from the advances in technology the better for richer world games.

 

21 minutes ago, M.Yurizaki said:

.

Thing I meant mostly was in linear / story driven and rpg games though, in a point of view to give a richer amount of said motion, I'm more interested in that kind of immersion than straight out shooters like half life and crysis.

 

Regardless day dream how we could use this power on games is fun but unrealistic... TITAN V shouldn't be bought for personal usage regardless how you put it, only for it's professional level meant.

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1 hour ago, leadeater said:

Well to be fair it's not quite big boy for the Titan Xp either. 

 

Titan Xp = GP102

Tesla P100 = GP100

Titan V = GV100

Tesla V100 = GV100

 

Gx100 is the real big boy die.

GP102 has the full amount of CUDA cores tho.

 

GP100 is a 3584 CUDA core part. Full blown only pls.

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1 hour ago, DildorTheDecent said:

GP102 has the full amount of CUDA cores tho.

 

GP100 is a 3584 CUDA core part. Full blown only pls.

GP102 has all the DP cores cut and the GP100 doesn't, not that it effects us but the Gx100 are the only full feature dies. It's just that everything cut to make Gx102 has no effect on gaming.

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9-18% increase....I'd rather just buy two 1080ti and sli them, which is my plan since my friends selling me his for 400usd when he buys one of these Titans.

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19 hours ago, MadyTehWolfie said:

9-18% increase....I'd rather just buy two 1080ti and sli them, which is my plan since my friends selling me his for 400usd when he buys one of these Titans.

Damn what kind of deep learning is your friend doing

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2 hours ago, jaysangwan32 said:

Damn what kind of deep learning is your friend doing

Hes doing nothing with it. He just wants it because its tech and hes addicted to tech and has too much time and money on his hands.

 

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57 minutes ago, MadyTehWolfie said:

Hes doing nothing with it. He just wants it because its tech and hes addicted to tech and has too much time and money on his hands.

 

tell your friend "Sierra Fox from the LinusTechTips forum says you're an idiot"

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1 hour ago, MadyTehWolfie said:

Hes doing nothing with it. He just wants it because its tech and hes addicted to tech and has too much time and money on his hands.

 

 

13 minutes ago, Sierra Fox said:

tell your friend "Sierra Fox from the LinusTechTips forum says you're an idiot"

OO Tell him Not_Sean Agrees with Sierra Fox 

 

(I don't know whats happening but I'm not missing a chance to call someone an idiot :P:P ) 

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On 12/12/2017 at 9:05 PM, Sierra Fox said:

tell your friend "Sierra Fox from the LinusTechTips forum says you're an idiot"

 

On 12/12/2017 at 9:20 PM, Not_Sean said:

 

OO Tell him Not_Sean Agrees with Sierra Fox 

 

(I don't know whats happening but I'm not missing a chance to call someone an idiot :P:P ) 

 

2 hours ago, VegetableStu said:

so shallow learning then

Eh I don't care, when he gets it I'll be sli'ing my 1080ti ftw3 for only 400 bucks. Funny thing is the Titan V is only 8-18% faster then a stock 1080ti so sli'ing my ftw3 1080ti would be far better for gaming which what he'll be using it for. His loss my gain.

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How does this compare to 2 1080 Ti's in SLI since the Titan V doesn't have SLI or NVlink? Which is more worth it performance wise?

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On 11/12/2017 at 6:19 AM, BuckGup said:

Yeah usually people just bought tons of GPUS for cuda cores but tensor cores are like 100X the speed and you get over 600 of them

Only in very very very focused use cases. Basically, put you cant address each core with a separate set of instructions to run you can only address all of them/a large group of them. and then tell them to do the same operation on the data. This is great for big matrix operations that you repeat and repeat over lots and lots of input data but does not work if you need to adjust hat operations each time around (as re-setting the op is slow) 

so even in the neural network space Tensor cores are good for:

* image classification: you run 1000000 images through the same network and matrix filters compute the errors make adjustment repeat
* cluster anaisist: as above lots and lots of runs with different input data

what it does not work with at all is if you need to adjust the network on each new bit of data.

the key example of this is any sequence data (eg forecasting) were the neural network uses a memory within itself and thus each time you put in new data it behaves a little differently based on the last few runs. This is known as a recurrent network. Commonly used for:

* financial forecasting
* voice/audio to text/meaning processors (could also be systems to detect birdsong of an in danger bird so that it can be tracked over large spaces for example)
* flash flood forecasting/other unltra local weather condition forecasting, these take as input the current weather + the forecast for weather in related regions and use a recurrent neural network to predict the response pattern within local rivers to detect if there will be a sudden flash flood.

 

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1 hour ago, hishnash said:

Only in very very very focused use cases. Basically, put you cant address each core with a separate set of instructions to run you can only address all of them/a large group of them. and then tell them to do the same operation on the data. This is great for big matrix operations that you repeat and repeat over lots and lots of input data but does not work if you need to adjust hat operations each time around (as re-setting the op is slow) 

so even in the neural network space Tensor cores are good for:

* image classification: you run 1000000 images through the same network and matrix filters compute the errors make adjustment repeat
* cluster anaisist: as above lots and lots of runs with different input data

what it does not work with at all is if you need to adjust the network on each new bit of data.

the key example of this is any sequence data (eg forecasting) were the neural network uses a memory within itself and thus each time you put in new data it behaves a little differently based on the last few runs. This is known as a recurrent network. Commonly used for:

* financial forecasting
* voice/audio to text/meaning processors (could also be systems to detect birdsong of an in danger bird so that it can be tracked over large spaces for example)
* flash flood forecasting/other unltra local weather condition forecasting, these take as input the current weather + the forecast for weather in related regions and use a recurrent neural network to predict the response pattern within local rivers to detect if there will be a sudden flash flood.

 

Correct, but the whispering through the grapevine is Nvidia's next-gen tensor flow processor will also have the neurotrophic capability you describe.

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13 hours ago, Bit_Guardian said:

Correct, but the whispering through the grapevine is Nvidia's next-gen tensor flow processor will also have the neurotrophic capability you describe.

Given that others (Intel & IBM etc) already have chipsets with these features in place yes I would expect as much.

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