Your kidding right..?
Bcz ray tracing means that much to you? And you believe a 20 year old game is going to bring people into the fold on raytracing?
What does the motherboard have to do with anything?People who own a GTX1070, or GTX1080 will be better served getting Navi on a new x570 AM4 mobo.
I don't see any major developers who are not going to be working exclusively on RDNA. Is there anything else out there but RDNA now..? (being honest here)
20 year old game? Doom Eternal will be released November this year, age of the franchise is hardly relevantYour kidding right..?
Bcz ray tracing means that much to you? And you believe a 20 year old game is going to bring people into the fold on raytracing?
Who is the customer of these cards...? Certainly not anyone who owns an RTX already.
These SUPER cards make no sense, at this time.
Nvidia's gaming revenue is way down quarter on quarter and consensus is that is related to those high prices for original RTX if not as mentioned earlier for folks on the fence but didn't buy. The (S) cards give no reason to buy a Radeon 7 for gaming and damper AMD's Navi for sure. What sucks is the up-stacking pricing from both companies this generation. If you are in the market for a new card, the value proposition is there for (S) over the competition.
I don't see SUPER running off shelves, or even see people upgrading.
I agree, but then again Dr Su herself suggested not to buy Radeon 7 for gaming.
I'm pretty sure that we don't have official Navi benches out yet and Supers aren't in stores yet either - isn't it a bit early to call one over the other for value propositions. If you are in the market for a new card, the value proposition is there for (S) over the competition.
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Nvidia is keeping the prices the same for the 2070 and 2080 lines, so Super versions of those cards will go for $499 and $699, respectively, while the 2060 Super will slot in now at $399, or about $50 more than a standard 2060. The 2060 and 2070 cards launch on July 9th, and the 2080 Super comes out on July 23rd
https://www.theverge.com/2019/7/2/2...2060-2070-2080-ti-price-release-date-announce
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I think you need to slow down and think about what you're writing before you write it. This is the 2nd time now someone is pointing out blatant incorrect information in your posts. I can already guess that by July 9th, you're going to bring up this point in again. I will just say that i cannot see radiation, but it is there and present and can kill me in the right dosages. You need a way to detect and measure something you cannot see.
You cannot see things the product run off shelves or see every single person upgrading. So come up with a more accepted way of proving your arguments, the same way that anyone else would, monthly or quarterly sales results etc.
The AMD website OTOH still does:
https://www.amd.com/en/graphics/radeon-rx-graphics
„AMD Radeon VII
THE WORLD’S FIRST 7nm GAMING GPU“
View attachment 3178
LOL^
My opinion is not blatant incorrect information.
So you believe just the opposite..? That these updated SUPER cards are going to fly off the shelves..? And Everybody is scampering to put in an order and they will all be sold out..? If so... can you explain WHO is going to buy them..?
Everyone I know... (talking some 40+ gamers) either bought RTX, or passed altogether. They have waited a whole year for a new card and SUPER is not it. So they are still waiting. New Monitors are coming out and most GAMERS will be buying the superior FreeSync2 monitors.... that Nvidia cards don't comply with. So again... who? is buying these SUPER cards..?
And explain to us, why you feel that these will be overwhelming sellers... Only time will tell if I am right, but you sound annoyed over the fact these SUPER cards don't sit well with anyone.
So, nVidia is dead ? Right ? Should I sell everything ?
The big improvements in terms of compute, memory bandwidth, and memory capacity for the NVIDIA GeForce RTX 2060 Super has an enormous impact. Increasing memory size to 8GB had “Super-sized” impact. In some of our rendering tests and especially with Tensorflow training, we saw outsized gains over the 6GB GeForce RTX 2060. On some of these deep learning benchmarks, we could not run the RTX 2060 6GB cards because of memory constraints. With 8GB, the new NVIDIA GeForce RTX 2060 Super has significantly more deep learning training potential.