Nvidias being pretty smart here ngl
This is the ai gold rush and they sell the tools.
Yes that’s the meme.
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You can buy them new for somewhat reasonable prices. What people should really look at is used 1080ti’s on ebay. They’re going for less than $150 and still play plenty of games perfectly fine. It’s the budget PC gaming deal of the century.
it probably the best performance per dollar u can get but a lot of modern games are unplayable on it.
Lot of those games are also hot garbage. Baldur’s Gate 3 may be the only standout title of late where you don’t have to qualify what you like about it.
I think the recent layoffs in the industry also portend things hitting a wall; games aren’t going to push limits as much as they used to. Combine that with the Steam Deck-likes becoming popular. Those could easily become the new baseline standard performance that games will target. If so, a 1080ti could be a very good card for a long time to come.
You’re misunderstanding the issue. As much as “RTX OFF, RTX ON” is a meme, the RTX series of cards genuinely introduced improvements to rendering techniques that were previously impossible to pull-off with acceptable performance, and more and more games are making use of them.
Alan Wake 2 is a great example of this. The game runs like ass on 1080tis on low because the 1080ti is physically incapable of performing the kind of rendering instructions they’re using without a massive performance hit. Meanwhile, the RTX 2000 series cards are perfectly capable of doing it. Digital Foundry’s Alan Wake 2 review goes a bit more in depth about it, it’s worth a watch.
If you aren’t going to play anything that came out after 2023, you’re probably going to be fine with a 1080ti, because it was a great card, but we’re definitely hitting the point where technology is moving to different rendering standards that it doesn’t handle as well.
So here’s two links about Alan Wake 2.
First, on a 1080ti: https://youtu.be/IShSQQxjoNk?si=E2NRiIxz54VAHStn
And then on a Rog Aly (which I picked because it’s a little more powerful than the current Steam Deck, and runs native Windows): https://youtu.be/hMV4b605c2o?si=1ijy_RDUMKwXKQQH
The Rog seems to be doing a little better, but not by much. They’re both hitting sub 30fps at 720p.
My point is that if that kind of handheld hardware becomes typical, combined with the economic problems of continuing to make highly detailed games, then Alan Wake 2 is going to be an abberation. The industry could easily pull back on that, and I welcome it. The push for higher and higher detail has not resulted in good games.
I suspect that’s the exception and will be for most games.
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Meanwhile I dont think I have played more than 30minutes on my ps5 this year and its june, and I have definitely not played any minutes on the 1080 sitting in my PC…
Oh fuck scratch that I may have played about 2 hours of Dune Spice Wars
They will eat massive shit when that AI bubble bursts.
I doubt it. Regardless of the current stage of machine learning, everyone is now tuned in and pushing the tech. Even if LLMs turn out to be mostly a dead end, everyone investing in ML means that the ability to do LOTS of floating point math very quickly without the heaviness of CPU operations isn’t going away any time soon. Which means nVidia is sitting pretty.
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It means having a shot at getting a good gaming gpu for cheap
As far as I understand the tech, those things aren’t really interchangeable :(
See Sun Microsystems after the .com bubble burst. They produced a lot of the servers that .com companies were using at the time. Shriveled up after and were eventually absorbed by Oracle.
Why did Oracle survive the same time? Because they latched onto a traditional Fortune 500 market and never let go down to this day.
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No they won’t, this tech isn’t going to go away Even if it plateaus. All the gpus they make will still get used.
The internet didn’t go away but there was still a .com bubble
As far as I understand, the GPUs that LLMs use aren’t exactly interchangeable with your regular GPU. Also, no one needs that many GPUs for any traditional use cases.
Admittedly, I bought an Nvidia card for AI. I am part of the problem.
I don’t think it’s a problem, more like a situation. You are not doing anything wrong or stupid, just interested in something new and promising and have the resources to pursue it. Good for you, may you find gold.
