• IWantToFuckSpez@kbin.social
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      1 year ago

      Prices will never come down to previous gen card prices. We’ve passed the threshold. NVidia will keep their prices high because there is significant demand for their chips outside of gaming and AMD follows in lockstep.

      • Refurbished Refurbisher@lemmy.sdf.org
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        1 year ago

        This is probably true, but it doesn’t mean that individual, non-AI/crypto consumers have to accept it, and largely, they haven’t been. All it takes is for Nvidia/AMD stock to drop from the overinflated prices for prices to come down.

        • niisyth@lemmy.ca
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          1 year ago

          And the stock dip is unlikely since they’re doing gangbusters on the datacenter front. Nvidia has enough gas in the tank to weather the hit from low consumer Gaming sales.

          I’ll be holding onto my 1060 6GB until it croaks.

      • hark@lemmy.world
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        1 year ago

        They’ll come down when the AI bubble bursts. Never say never.

      • anlumo@feddit.de
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        1 year ago

        NVIDIA has been struggling in recent years to find use cases for their graphics cards. That’s why they’re pushing towards raytracing, because rasterization has hit its limit and people no longer need to upgrade their GPU for that (they tried pushing towards 8k resolution, but that’s complete BS for screens outside of cinemas). However, most people don’t care about having better reflections and indirect lighting in their games, so they’re struggling to get anywhere in the gaming market. Now NVIDIA is moving into other markets for their cards that don’t involve gamers, and they’re just left as an afterthought.

        I don’t think that this will ever change again. Games like DOTA, Fortnite and Minecraft are hugely popular, and they don’t need raytracing at all.

        I personally tried going towards fluid simulations for games, because those also need a ton of GPU resources if calculated at runtime (that was the topic of my Master’s thesis). However, there have barely been any games featuring dynamic water. It’s apparently not interesting enough to design games around.

    • Eczpurt@lemmy.world
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      1 year ago

      Hopefully the last generation cards will drop some after the official launch. Sucks seeing rx6700-6800xt all hovering around $600-$900 here in Canada.

    • HeyJoe@lemmy.world
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      1 year ago

      Just remember you get Starfield for free so it’s kind of like a $70 dollar savings. I personally wanted the card plus the game so it really works out as a win win. I think $430 for the 7800 XT sounds reasonable for, someo who hasn’t upgraded since 2016 and currently has a rx480. It might be a midrange card but I honestly don’t know what more I could ask for if it runs everything max at 1440 and most thinks 4k are 60fps or over.

      • Graphine@lemmy.world
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        1 year ago

        No it’s not. If it was $350 I’d be impressed, but even in this day that’s $100 overpriced.

  • Kit@lemmy.blahaj.zone
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    1 year ago

    As someone who dropped $550 on a 1080 (not Ti) years ago and still using it for VR, I could be tempted to go AMD. Nvidia has gone off the deep end with pricing and I can’t see myself going that route. I’m starting to hit some bottleknecks and I’m sure I’ll upgrade in the next 3 years.

    • miketunes_@lemmy.world
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      1 year ago

      Too bad amd has always lagged in VR performance. Especially if you were trying to do wireless quest, I think the encoding latency was quite a bit higher.

      • Shrek@lemmy.world
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        1 year ago

        I use an AMD GPU and I stream to my Quest 2 a lot. I’ve only had one app have issues ever. It was Google Earth VR which I understand that they quit developing. I have never noticed latency either…

    • cynetri (he/any)@midwest.social
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      1 year ago

      I nabbed a 6800 XT for $550 last fall also for VR and the same one’s even cheaper now (but the 7800 XT probably has it beat assuming the same or greater performance)

    • wooki@lemmynsfw.com
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      1 year ago

      I’m in the same situation and at the current overpriced frame cost I’ll be waiting either for the next gen or the secondhand market once the next gen drops or just keeping the card another year.

  • GenderNeutralBro@lemmy.sdf.org
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    1 year ago

    7800 XT looks like the best value at 16GB.

    I know the Arc a770 has a 16GB variant for a lot cheaper, but it seems like its performance is generally way lower.

    However, both vendors have released major driver updates recently so I might be judging by outdated benchmarks.

  • ඞmir@lemmy.ml
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    1 year ago

    Since NVIDIA shit the bed this gen for everything under $599 4070, these seem like decent options at their respective price points

    • dragontamer@lemmy.world
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      1 year ago

      I disagree honestly. AI is overly hyped.

      I think engineers and programmers need to think far more carefully about how commodity 16GBs of VRAM at 500 GBps + 20TFlop parallel machines can improve their programs.

      There’s more to programming than just “Run Tensorflow 10% faster”. AMD GPUs are perfectly capable of plenty of other parallel computations, and their higher VRAM capacities and raw TFlops.

        • dragontamer@lemmy.world
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          1 year ago

          Based on the demos of DLSS, I don’t have a very high opinion of it. It seems to have the same “shining” problems that older methodologies had.

          The promising high-quality stuff is VRS: those demos are incredible, though they require more manual work. Instead of rendering a 1080p “fake” 4k image and relying upon AI to upscale it… you render a 4k-image but tell the GPU which sections to render at 2x2 pixels instead.

          Or even as low as 4x4 (aka: you may have a 3840 x 2160 pixel monitor, but the 4x4 region is rendered with roughly the same resources as 960 x 540 resolution). As it turns out, a huge number of regions in your video games have 4x4 or 2x2 appropriate regions, especially the ones that are obscured by fog, blur, and other effect worked on top.

          Notice: the bottom of the screen of the above racing game will be obscured by motion-blur. So why render it at full 3840 x 2160 resolution? Its just a waste of compute-resources to render a high-quality image and then blur it away. Instead, its rendered at 4x4 (aka: equivalent to 960 x 540), and after the blur, they basically look the same. The rest of the screen can be rendered at 1x1 (aka: full 3840 x 2160). Furthermore, its very simple programming to figure out which areas are having such blurs, and even the direction of motion blur (ex: 2x1 vs 1x2 if you’re doing horizontal blurs vs vertical blur passes after-the-fact).


          Meanwhile, DLSS is “ignorant” about the layers of effects (fog, blur, etc. etc.) and difficult to work into the overall rendering pipeline. VRS already is implemented in more games than DLSS ever was and is the future.

          You see, when a feature is actually used, it quietly gets implemented into every video game in DirectX12Ultimate or PS5 or XBox without anyone sweating. Everyone knows VRS is the future, no marketing needed. NVidia needed to push DLSS (unsuccessfully, IMO), because they’re part of the AI hype train and trying to sell their AI cores.

          • HidingCat@kbin.social
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            1 year ago

            Well, I never thought of the up scaling techs and AI in that way. That makes a lot of sense, but also depressing for the GPU market.

            I too, don’t really like how the demos of both DLSS and FRS look. There’s always something off about them.

      • dragontamer@lemmy.world
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        1 year ago

        GPUs are specialized computers used to accelerate “Matrix Multiplication”. Traditionally, matrix-multiplication was used to calculate 3d objects vs the camera / screen… a very common operation in video games. There’s a bit of math and study involved in this, but this picture should give you the idea:

        GPUs are designed to perform this operation trillions-of-times per second, because video games have a lot of objects on the screen that move around (rotate / animate, etc. etc.), that needs to be simulated in this manner. So any video game will have a powerful, dedicated computer specifically designed for this matrix-multiplication operation.


        About… 15ish years ago, someone created the “Tensor” operation for Deep Learning Neural Networks. This allowed ANNs to be written as a matrix-multiplication problem, and therefore accelerated on a GPU. GPUs after all, are the fastest computers we got for Matrix Multiplication.

      • IWantToFuckSpez@kbin.social
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        1 year ago

        GPUs are used in Machine Learning to train Neural Networks. Everyone in the AI field uses NVidia GPUs. Also NVidia uses special machine learning cores in the GPU, Tensor cores, to accelerate Ray Tracing and DLSS. AMD does not have these type of chips on their GPU that’s why ray tracing performance on AMD cards is significantly slower.

  • AutoTL;DR@lemmings.worldB
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    1 year ago

    This is the best summary I could come up with:


    “I just wish there were an option between the $300 to $400 marks that offered enough performance to push us firmly into the 1440p era.” That was my colleague Tom Warren’s conclusion reviewing the $399 Nvidia RTX 4060 Ti and $269 AMD Radeon RX 7600.

    The company claims both cards can average over 60fps in the latest games at 1440p with maximum settings and no fancy upscaling tricks — including troubled PC ports like The Last of Us Part I and Star Wars Jedi: Survivor.

    AMD says FSR 3 is already slated for Cyberpunk 2077, Forspoken, Immortals of Aveum, Avatar: Frontiers of Pandora, Warhammer 40,000: Space Marine 2, Frostpunk 2, Squad, Starship Troopers: Extermination, Black Myth: Wukong, Crimson Desert, and Like a Dragon: Infinite Wealth.

    That way, you’ll be able to inject extra frames into any DX10 or DX11 game with your AMD graphics card, no developer support required.

    “Our research tells us 70 percent of customers are willing to compromise on image quality,” says AMD gaming chief Frank Azor.

    AMD will sell its RX 7800 XT reference design directly at AMD.com with the two-fan cooler you see in the render atop this post.


    The original article contains 771 words, the summary contains 194 words. Saved 75%. I’m a bot and I’m open source!