Nvidia GeForce RTX GPU prices set to jump another 30% in third hike of 2026

https://finance.biggo.com/news/29e49643-f945-4b3c-b0cb-c7a771f1a3fa

71 points · 23 comments · view on lemmy.world

23 Comments

normanwall@lemmy.world · 43 pts · 20d (6 replies)

Lol This would put the cheapest 5090 near me at $6500AUD, ~$4522USD

Fuck you NVIDIA, happily bought a 9070XT

Senseless@feddit.org · 5 pts · 20d (5 replies)

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.

Mac@mander.xyz · 1 pts · 19d (2 replies)

Why would supporting Nvidia even be in consideration?

Fluffy_Ruffs@lemmy.world · 2 pts · 19d

My guess is people believe DLSS will continue to be developed and offer better performance in the future. I can't think of a good reason people would pay so much more for similar performance as the AMD offering. Maybe Nvidia GPUs are more common in AI server farms and it's driving the cost of their cards up. Not sure.

Senseless@feddit.org · 1 pts · 19d

It's just within consideration because it's on the market and I simply want to compare all viable products. Intel GPUs aren't in this list because I'm using Linux and their drivers aren't any good. I'm using nvidia since 780 Ti and got a new one every 2 - 3 gens. I also dislike the decisions nvidia took and its impact on the global hardware market. I hate their AI strategy and hope this bubble finally bursts.

AnUnusualRelic@lemmy.world · 1 pts · 19d (1 reply)

For what it's worth, I'm running a 5000x1200 (roughly) monitor with a 9070xt with no issues (in Linux).

Senseless@feddit.org · 1 pts · 19d

Running a 3840x1600 monitor and 2x 1920x1080 monitors in vertical mode, also in Linux. But I'm only using the big one for gaming. The initial setup was a bit of a hassle but for the most part because the nvidia drivers were pretty bad.

Chais@sh.itjust.works · 22 pts · 20d (13 replies)

Why would anyone buy nvidia at this point?

WereCat@lemmy.world · 16 pts · 20d (5 replies)

Because a lot of people just buy NVIDIA because it’s NVIDIA still

LouNeko@lemmy.world · 10 pts · 20d (4 replies)

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.

3bygone3@lemmy.world · 2 pts · 20d (1 reply)

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.

Septimaeus@infosec.pub · 1 pts · 19d

With respect to per-watt metrics, 4090 was such an efficiency leap that 5090 struggles to match it. AFAIK 4090 still holds the efficiency crown in discrete graphics. (Maybe not for other acceleration tasks. Also driver/FW updates sometimes shift benchmark standings over time.)

WereCat@lemmy.world · 1 pts · 17d

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.

Mac@mander.xyz · 1 pts · 19d

Hope it was worth it
And thanks, btw

rumschlumpel@feddit.org · 4 pts · 20d (3 replies)

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.

Septimaeus@infosec.pub · 2 pts · 19d (2 replies)

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).

rumschlumpel@feddit.org · 2 pts · 19d (1 reply)

What does "AS" abbreviate here?

Septimaeus@infosec.pub · 2 pts · 19d

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)

CybranM@feddit.nu · 3 pts · 20d

If you have deep pockets and want the best performance Nvidia is the only option

stoy@lemmy.zip · 2 pts · 20d (1 reply)

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?

Chais@sh.itjust.works · 6 pts · 20d

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.

Wildmimic@anarchist.nexus · 5 pts · 20d

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.

Soulphite@reddthat.com · 1 pts · 20d

"First they came for the dot-com's, and I did not speak out - because I was not a stock trader."

"Then they came for the crypto-mining, and I did not speak out - because I was not a miner."

"Then they came for the Data Centers, and I did not speak out - because I was not a AI tech Bro."

"Then they came for me - and there was no one left to speak for me."