Lol This would put the cheapest 5090 near me at $6500AUD, ~$4522USD
Fuck you NVIDIA, happily bought a 9070XT
this post was submitted on 29 Jul 2026
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Just looked for a potential successor for my 3080 and compared 5070, 5070 Ti and 9070XT because they have roughly the same performance. A 9070XT is about 650 Euro, whereas a 5070 is about 570 Euro, but also weaker than a 9070XT. A 5070Ti, which is about the same performance as the AMD (more or less) starts at 900 Euro. At this point AMD is a nobrainer.
I'm even thinking about downgradin my main monitor to UWQHD or WQHD from UWQXGA (3840x1600) because I can't and not willing to pay a fortune for graphics cards.
For what it's worth, I'm running a 5000x1200 (roughly) monitor with a 9070xt with no issues (in Linux).
Why would supporting Nvidia even be in consideration?
Why would anyone buy nvidia at this point?
Because a lot of people just buy NVIDIA because it’s NVIDIA still
A lot of people buy Nshitia (me included) because of Cuda and DLSS which are years ahead of AMD and decades ahead of Intel. Even with worse driver support on Linux, Nvidia still outpreforms AMD cards of the same class on every front, except net power consumtion.
It's fine if you buy it because you know what you need and know that you're paying more because of X. I'm talking about people that buy it just because it's NVIDIA with no thought for anything else.
From what I've seen they are leading in power consumption as well. Yes, 5090 is more power hungry than any AMD consumer GPU right now but it also comes with adequately higher performance.
Hope it was worth it
And thanks, btw
Probably pretty much exclusively for machine learning applications, though I wonder if it's even still a good choice to use consumer gaming GPUs at these prices. But IDK what a developer would buy instead for home use, I can't quite imagine that something like a Raspberry Pi AI hat has a better performance/cost ratio.
For local inference these days it’s basically all AS since it’s the only consumer hardware that can replace $20-80k server builds, but if you mean ML/AI developers specifically, they still prefer discrete GPUs for local training (on personal budgets: either recent consumer gaming/professional cards or older AI cards).
What does "AS" abbreviate here?
My bad, Apple Silicon, the private local ML “meta” as of ~Nov’25 (and last I saw) was RDMA clusters of M3 Ultras that could scale up to 3.6TB VRAM (a lot)
If you have deep pockets and want the best performance Nvidia is the only option
I have simply kept buying nVidia as I understand what the model numbers mean, I have no idea of what AMDs GPUs model numbers mean...
I have a 3070 at home right now, what would be an upgrade from AMD?
Seems to be roughly on par with the RX 6800, according to user benchmarks.com, so everything after should be an improvement. The -XT models are generally stronger. Also, in an attempt to adapt their naming schema to nvidia's amd's 7900 series was succeeded by the 90xx series.
Generally speaking nvidia seems to have the edge in ray-tracing, while amd offers faster rasterisation.
I still have an 3070TI, a 3080 and 2 1080Ti's lying around. I was thinking about selling some of them, but with the current situation i will keep all of them, simply to have spares for years to come.
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