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[WCCFtech]EVGA releases RTX 2060 KO series

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post #31 of 58 (permalink) Old 01-13-2020, 03:41 PM
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Quote: Originally Posted by maltamonk View Post
Like you well know the "features" on the 2060 are not the same as the "features on the 2080/ti. The card simply doesn't have the power to utilize them well. It's much like having 8gb ram on a rx 570...it doesn't do all that much. As for rendering performance AMD got crapped on for years for having better rendering than Nvidia at the cost of fps. Now they have focused on fps and the script is being flipped.
So no we don't have AMD charging 400 for a 250 card while Nvidia's 400 is justifiable, neither is.

Maybe if you could point out on the doll where AMD touched you we could work on resolving whatever your hatred for them is.
Of course the RTX 2060 isn't the same as the RTX 2080/Ti, that's why there is a price difference between those cards. When those extra cores of the RTX 2060 are used they provide much better performance than the entire GTX 10 series lineup along with Navi. The RTX 2060 is between 13-26% faster than the GTX 1080 Ti at deep learning when using Tensor cores. When rendering using OptiX the RTX 2060 also provides better performance than the entire GTX 10 series and Navi(even using Radeon ProRender) when not memory limited(can always buy a RTX 2060 Super). The RX 5700 XT is only an average of 24% faster than the RX Vega 56 in games. With performance below the RX Vega 56 when it comes to compute and even lacks ROCm support. So I don't see how the price can stay the same unless they're also using technology that's not ready for the masses(cough 7nm) and passing the cost down to us.

nVidia's RTX 2060 was 37% faster than the GTX 1060 and added all the features below. The RTX 2060 had the best cost to performance ratio for deep learning thanks to the tensor cores. When I bought my Radeon VII I saw an improvement of 123% over the RX Vega 64 in training performance and that's at the same batch size. While all other renders and applications all saw a 30%+ improvement. Navi isn't priced correctly and it's taking advantage of Turing pricing. If gamers cared they'd fix this by not supporting both companies. For my use case if AMD doesn't release a consumer version of Arcturus I'll be switching back to nVidia.

RTX Features:

RT Cores
Tensor Cores
VRS
Turing Shaders
NVENC
Studio Drivers

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post #32 of 58 (permalink) Old 01-13-2020, 04:45 PM
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This segment is not for those applications. These are not prosumer products, Consumers using the applications you listed are not using the 2060 nor the rx5700. They will be using with the prosumer cards or the professional options. So what really matters in this segment is what the cards are actually being used for.

When it comes to all the AI deep learning etc....on the 2080ti I'm agree with you. It matters for that card. I just don't agree that it matters on the 2060. They need to examine what their customer base is and it's not a niche of a niche. "Hey, I got an idea. Let's screw over the majority of our customers for said product to cater to a very small subset. Brilliant!"
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post #33 of 58 (permalink) Old 01-13-2020, 04:52 PM
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Quote: Originally Posted by maltamonk View Post
This segment is not for those applications. These are not prosumer products, Consumers using the applications you listed are not using the 2060 nor the rx5700. They will be using with the prosumer cards or the professional options. So what really matters in this segment is what the cards are actually being used for.

When it comes to all the AI deep learning etc....on the 2080ti I'm agree with you. It matters for that card. I just don't agree that it matters on the 2060. They need to examine what their customer base is and it's not a niche of a niche. "Hey, I got an idea. Let's screw over the majority of our customers for said product to cater to a very small subset. Brilliant!"
I have 50 RTX 2060 in workstations for deep learning because of the Tensor cores. They effectively double our GPU memory at the cost of training accuracy. It's not 2007 anymore, GPUs do much more than display images on a screen. You're absolutely correct we won't be touching Navi.

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post #34 of 58 (permalink) Old 01-13-2020, 06:11 PM
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Quote: Originally Posted by lightsout View Post
Single slot of ssf? Isn't length usually a bigger concern? Unless your talking water cooled.
no clue. not my niche.

....googling....binging...yahooing...

yeah, seems kinda moot, but i'm sure someone out there doing epic mod stuff like stuffing i9s n 2080tis in xbox's would appreciate it (looks at 4 people total)

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If something appears too good to be true, it probably is.
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post #35 of 58 (permalink) Old 01-13-2020, 06:21 PM
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Quote: Originally Posted by WannaBeOCer View Post
Of course the RTX 2060 isn't the same as the RTX 2080/Ti, that's why there is a price difference between those cards. When those extra cores of the RTX 2060 are used they provide much better performance than the entire GTX 10 series lineup along with Navi. The RTX 2060 is between 13-26% faster than the GTX 1080 Ti at deep learning when using Tensor cores. When rendering using OptiX the RTX 2060 also provides better performance than the entire GTX 10 series and Navi(even using Radeon ProRender) when not memory limited(can always buy a RTX 2060 Super). The RX 5700 XT is only an average of 24% faster than the RX Vega 56 in games. With performance below the RX Vega 56 when it comes to compute and even lacks ROCm support. So I don't see how the price can stay the same unless they're also using technology that's not ready for the masses(cough 7nm) and passing the cost down to us.

nVidia's RTX 2060 was 37% faster than the GTX 1060 and added all the features below. The RTX 2060 had the best cost to performance ratio for deep learning thanks to the tensor cores. When I bought my Radeon VII I saw an improvement of 123% over the RX Vega 64 in training performance and that's at the same batch size. While all other renders and applications all saw a 30%+ improvement. Navi isn't priced correctly and it's taking advantage of Turing pricing. If gamers cared they'd fix this by not supporting both companies. For my use case if AMD doesn't release a consumer version of Arcturus I'll be switching back to nVidia.

RTX Features:

RT Cores
Tensor Cores
VRS
Turing Shaders
NVENC
Studio Drivers
What is so special about NVENC? I keep hearing about this but from what I can tell its only old H.264 Encoder which performs/look better for Nvidia.

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post #36 of 58 (permalink) Old 01-13-2020, 06:42 PM
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Quote: Originally Posted by WannaBeOCer View Post
RTX Features:

RT Cores
Tensor Cores
VRS
Turing Shaders
NVENC
Studio Drivers
This doesn't hold water to anything tangible from my prospective. For example rt cores, tensor cores and turing shaders by themselves is not a feature (they are aspects to the Uarch). I see features and something anyone can use and is less niche.

For example AMD Radeon Software Adrenalin 2020 offers features like:
Radeon Boost
Integer Display Scaling
Radeon Anti-Lag
Radeon Image Sharpening
AMD Link
DirectML Media Filters
New Built-in web browser
Game Advisor
Etc

See the difference. I didn't go into the uarch of the card to point out features like RDNA!
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post #37 of 58 (permalink) Old 01-13-2020, 06:45 PM
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Quote: Originally Posted by EastCoast View Post
This doesn't hold water to anything tangible from my prospective. For example tensor cores and turing shaders by themselves is not a feature (they are aspects to the Uarch). I see features and something anyone can use and is less niche.

For example AMD Radeon Software Adrenalin 2020 offers features like:
Radeon Boost
Integer Display Scaling
Radeon Anti-Lag
Radeon Image Sharpening
AMD Link
DirectML Media Filters
New Built-in web browser
Game Advisor
Etc

See the difference. I didn't go into the uarch of the card to point out features like RDNA! [IMG class=inlineimg]/forum/images/smilies/rolleyes.gif[/IMG]
When you look at a new card you look at what features are specific to the architecture not just what's available in their software suite.

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post #38 of 58 (permalink) Old 01-13-2020, 06:53 PM
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Quote: Originally Posted by WannaBeOCer View Post
When you look at a new card you look at what features are specific to the architecture not just what's available in their software suite.
Wrong, as I posted earlier.
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post #39 of 58 (permalink) Old 01-13-2020, 06:53 PM
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Why the 2060 over the 2070 back 1st half of last year*? Are you not using 16 bit training?

*I am assuming you got them back then
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post #40 of 58 (permalink) Old 01-13-2020, 07:18 PM
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Quote: Originally Posted by maltamonk View Post
Why the 2060 over the 2070 back 1st half of last year*? Are you not using 16 bit training?

*I am assuming you got them back then
They provided the best cost to performance at that time along with not requiring a power supply upgrade. Yes we're using FP16 which is why 6GB of memory is fine.

They were perfect to get our researchers to start learning how to use Tensor Cores to avoid bringing down our Titan V/P6000s compute servers.

Quote: Originally Posted by EastCoast View Post
Wrong, as I posted earlier.
I understand, I'll take a rain check and get back to you when RDNA2 releases VRS, NGG and Ray Tracing support.

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