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Nvidia GeForce RTX 3080, RTX 3070 Leaked Specs: Up to 20GB GDDR6 RAM
- that_lurker 7y agoIs there really a need for 20gb of ram in a GPU?
- ChuckNorris89 7y agoMachine learning, data scientist and real time professional simulations. You need to have your models in video ram to be able to "play" with them in real time so with 20Gigs they can access larger models.
- samplatt 7y ago>Machine learning, data scientist and real time professional simulations. With photogrammetry (my field) we need to process anywhere between 1GB and 500GB of DSLR photos in one project and triangulate points between all these photos. Lots of RAM helps. Lots of VRAM helps JUST as much. Also crypto mining takes advantage of large VRAM too.
- pacetherace 7y agoMay not be required for gaming but for their GPGPU market that is going to be a big win. Another use case is the Cloud gaming market where a single GPU needs to serve multiple users.
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- btian 7y agoAbsolutely. Being able to train with larger batch size helps a lot with performance
- nl 7y agoGoogle recently released their Performer architecture paper where one of the major achievements was making it work within 16GB. More headroom is incredibly useful!
- Pfhreak 7y agoNeed? Who knows. Do customers want it for various reasons? Absolutely. 4k and 8k gaming are definitely going to be a thing. Those textures are pretty big. (I think Final Fantasy XV is like 80GB larger if you get the 4k textures?)
- wruza 7y agoThe article says that it is unlikely for consumer cards to get 20gb. The same chips go to pro-level cards, and they will have it. As far as I know from the latest gossip and tech details, 4k textures pretty much fit 8gb, and 4k gaming still struggles with 60fps, which 3840 cores will not change by a large margin. From that, 8k is simply a marketing move (apart from eye physics). Also, 4k/144 requires an active cooling of a monitor, and these still cost too much to become mainstream in 30xx lifetime. 8k is basically 4k x4, do the math.
- bananamerica 7y agoMaybe for real-time previews for video compositing such as Adobe After Effects?
- spectramax 7y agoYES! For rendering medium-large scenes in GPU based rendering engines such as Octane, Redshift, Arnold, etc. Take a sportscar sample model with good resolution, say 250k polygons. If you want to create an animation with 100 cars crashing into each other, you'll need a lot of GPU RAM.
- Hamuko 7y agoI imagine at least a part of that is because gamers want to see new hardware have bigger numbers than the old hardware and RAM is a pretty easy metric. RTX 2080s have 8-11 GB.
- james_s_tayler 7y ago1080ti GTX models also have around 11gb.
- ksec 7y agoComparatively speaking Memory is cheap, I wish they started offering 32GB, 64GB or even 128GB for professional applications. I could start playing around with GPGPU Database.
- m0zg 7y agoHBM is not cheap. And for that throughput to be feasible, it also needs to be in close proximity as well.
- ksec 7y agoWell that is HBM, not GDDR. And price / value differs to each individuals. Example the GeForce RTX 2080 Ti is only $1099. A Chip that is nearly 800mm2 die size. Pretty damn good if you ask me. They could have bump the Memory to 32GB and charge me $1500 which would give them even higher margin. I hope that is something AMD would do, pushing more Cores in CPU, pushing more Graphics Memory in GPU, let the developer figure out how to best use it.
- AstralStorm 7y agoThe slight problem is space on die. Higher density GDDR6 just don't exist, and attempting to connect more chips quickly runs into die size limitations and routing problems.
- kavalg 7y agoFor Machine Learning (esp. computer vision) it is really important. First, as others have pointed out, it lets you use bigger batches of data in a single forward pass. This has not only performance aspects, but also certain regularization aspects. Second, if you want/need to use higher resolution inputs then you really need a lot of memory. For example, MaskRCNN - a popular instance segmentation network - can only do batch_size=1 at 960x960 pixel images (with some tweaks). 960x960 is not a particularity high resolution by contemporary standards and also a batch_size=1 can cause gradient fluctuations (this is usually not desired). There is also some trend in NLP (Natural Language) to work with lots of data/bigger models that are memory hungry (e.g. GPT-2).
- Entalpi 7y agoIn the future, yes. As screen resolution increases a lot of textures increase as well. These mostly does not scale linearly as well so a large increase is to be expected from higher resolutions.
- tromp 7y agoThe cuckatoo_mean_cuda_rtx_32 solver for Grin's Cuckatoo32 proof-of-work needs that much memory. This PoW is actually intended for ASICs, that would need only 512MB of SRAM with a different approach, but those ASICs have yet to appear.
- thedaemon 7y ago3d artist here, yes Renderer can use your GPU RAM while rendering.
- kelsolaar 7y agoIt is common in VFX these days to have scenes that take well over 128Gb of RAM to render, 20Gb is, unfortunately, still quite thin :)
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- gautamcgoel 7y agoThe big news to me is that the top card features a 320 bit memory bus, which should offer much better memory bandwidth than the previous generation (256 bits). Assuming a linear scaling, we should see a 1.25 improvement compared to the previous generation.
- ksec 7y ago>The big news to me is that the top card features a 320 bit memory bus, which should offer much better memory bandwidth than the previous generation (256 bits). RTX 2080 is 352 bits, and RTX Titan is 384. Nvidia has always had high bit rate memory bus. The one that had 256 bit was AMD Radeon GDDR. Arguably bit bandwidth is meaningless without looking at actual memory type, or the total bandwidth from memory.
- zrav 7y agoIndeed, seeing that there's also Radeons with 2048 bit bus for HBM.
- RealStickman 7y agoActually the RTX 2080 has only 256bit. https://www.techpowerup.com/gpu-specs/geforce-rtx-2080.c3224 https://www.techpowerup.com/gpu-specs/geforce-rtx-2080.c3224 The 2080 ti has 352bit. https://www.techpowerup.com/gpu-specs/geforce-rtx-2080-ti.c3305 https://www.techpowerup.com/gpu-specs/geforce-rtx-2080-ti.c3... Interestingly, Nvidia decided to use a bigger die (relative to other dies in the family) for the 3080 than for the 2080. TU104 (2080) vs GA103 (3080). Probably to prepare for big Navi.
- gigatexal 7y agoAny word on what the 3080ti will have?
- james_s_tayler 7y agoBut can it play Control with full Ray Tracing on Ultra detail in 4k at 60 FPS? If yes, I'm getting one.
- polyterative 7y agowithout internal upscaling maybe
- wdroz 7y ago4k@144fps would be a dream, but even with my 2080 Ti, I can't run AAA titles at 1920x1024@144fps without severely cutting down on graphics settings. I doubt that the 3xxx series will be strong enough to support consistent 4k144fps.
- gigatexal 7y agoThe new need cards are said to be 50% faster (speculation of course). I just hope they are so that I can get a 2080ti for around 500 USD.
- bluecalm 7y agoI think 500$ for 2080ti won't happen that quickly. There are many hobbyists now who would happily grab several of them for a deep learning project of choice. If they become that cheap I would buy 6 (or however many I could reasonably put in one mining rig like box) just to run Leela Chess Zero training and analysis. I know a few more people in the same boat. The biggest hope for cheap GPUs is AMD actually delivering something. While I don't doubt they will get there in hardware department I am pessimistic about software.
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- mosselman 7y agoYou don't need 144fps for a 144hz monitor. You didn't say that that is your setup, so I am just assuming here, but the 144 sounds too specific for it to be coincidence. The thing about refresh rates for screens, as I understand it, is not that you need to have a 1:1 relation between your fps and hz, but you don't want to 'lose' frames due to your hz being too low. The lower both are, the more likely you are to miss frames as the image might enter the monitor exactly at a moment where it can't render it. That is why running a game @ 40fps will still be smoother on a 144hz monitor than it is on a 60hz monitor. Higher hz, just means you have a better chance at seeing all the rendered frames. Sure 144fps sounds like a great situation for a 144hz monitor, but I think in reality it just means that you are missing a higher percentage of your frames. So you'd either need some sort of syncing technology (which AMD and NVIDIA have) or an even higher hz monitor. Again, I think, that if you don't, you will just be rendering many of your frames for nothing, as your fps and hz are not aligned. So you might as well get a GPU that renders your games at 80fps for your 144hz monitor. The difference between 144fps and 80fps in terms of money is probably a lot higher than lets say going from 40 to 80. This is all based on my limited knowledge that I acquired from my research I did when I bought my own 144hz monitor.
- Brave-Steak 7y agoAt this point all I care about is the price. The price of GPUs has ballooned in an insane way recently and it’s impossible to get a decent deal that’s significantly faster than what I have now (and I haven’t upgraded in years). The used market seems to have been decimated, with even last gen cards going for crazy high prices. I suspect the 30x0 line will be even more expensive than the current one, and I hate it.
- ahelwer 7y agoYeah, I really don't want to pay more than around $120 for a decent GPU, which gives me a used gtx 1060 or 780ti. Both of those play new games at high settings on 1440p, what more could you want? Shelling out $700 for a GPU to get good VR or RTX tech demos just isn't worth it.
- TylerE 7y agoIt is if you use a high refresh rate. My 1080ti is barely adequate for 1440p165... and even at that I’m usually turning setting down to average 100–120fps.
- jdnenej 7y agoGood VR is absolutely worth it. After getting a VR setup I haven't touched a single none VR game. I recently upgraded to a rx 5700xt and love it.
- 1_player 7y agoYou do not play new AAA games on 1440p high with a $120 card. High end RTX are worth it on 4K screens. I can confirm that a £1200 RTX 2080 Ti can run new AAA games on 4K high at a stable 60 to 70 fps. Not much higher than that.
- mike_d 7y agoThe later 1xxx models are expensive in the aftermarket because a handful of cryptocurrencies are still ROI positive mining on them. To a lesser extent the 2xxx series is going to be dominated by people wanting to do password cracking. A 2080 Ti will do about 13 billion checks/sec (using NTLM benchmarks), which starts to make financial sense for cracking high complexity passwords from data breaches. It would be nice if in the 3xxx series they could figure out a way to make it only fast for games and not ML/cracking/crypto.
- marcus_holmes 7y agoI worked in a life assurance company in 1996. The networked shared hard drive that the entire 15-ish person IT department worked from was 4GB. We considered that to be a decent size, and rarely ran into space issues. I keep wondering where this ends up - are we going to have 4TB graphics cards and 1PB hard drives in 2040?
- ovi256 7y agoThe 1PB hard drives may come much sooner, the rate of growth in permanent storage is higher than the RAM growth rate.
- viraptor 7y agoThere are two economic limits that I see. 1. You're only going to see so much details, so making bigger textures will not make much sense soon. We're already at the level where the art design / mapping / movement / realistic lighting could improve the situation much more than extra resolution. Games can already run at up to 4k and virtually nobody even has hardware for it. 2. There's only so much bandwidth on the storage - graphics memory and graphics memory - GPU lines. If you can't realistically process the textures/geometry you want to display, there's no point making it. 1PB drives will come though for long term storage. We already have petabytes of data being processed in some companies. It's just a question of $/B ratio, whether the R/W speed is reasonable for that size, and how reliable do you want that storage to be.
- Fredej 7y agoFor gaming it think it's somewhat true that we may reach a visual limit at some point. However for other applications it's not the same thing. I work in medical 3D imaging - we are constantly memory constrained.
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