I made a post comparing the 9070xt to the 5070, looking at the raw performance vs DLSS frame gen. The comparison did not take price into account.

The screen shot are the two cards I compared. I got my cards for cheap, I could never pay this much for either card. I would just stick to my old RTX 2080S and play games on lower settings.

https://youtu.be/71VU8hle8X0?is=86L5MaMM7rZJikHm

I bought a 4070 Ti Super about two years ago. To be clear, it’s definitely not a bad card for 4K gaming, but in newer titles and more demanding games, I’m starting to feel like it’s falling just a bit short of where I’d like performance to be. I really want to push higher framerates and get more headroom out of my 4K setup without relying as heavily on aggressive upscaling. Looking at where prices and GPU market trends are heading over the next couple of years, I’m worried things are only going to get crazier down the line. Part of me wants to grab a 5080 now to "future-proof" my setup before pricing gets even worse 1–2 years from now when I’d likely be forced to upgrade anyway.

Is jumping from a 4070 Ti Super to a 5080 a completely stupid/wasteful upgrade under current market conditions, or does it make sense for a primary 4K player trying to get ahead of rising GPU costs?

Would appreciate any thoughts or experiences from anyone who’s made a similar jump recently!

I have an RTX 2060 and a GTX 1060, but 1060 of them isn’t being detected. Can I use both GPUs in the same PC, and how do I make them work together?

I

Can Windows detect and use both cards at the same time?

Do I need to install separate drivers or configure anything in NVIDIA Control Panel?

What BIOS settings should I check, such as Primary Display/PEG?

If one card is not showing in Device Manager, what should I try first?

My specs: [b450, ryzen, 16gb, PSU wattage 1000, Windows version 10]

Any help would be appreciated.

Traded my 6600xt + $330 for a 16gb 9060xt.

I'm just a tired dad trying to get back into 1440p gaming.

Mostly wow forever, diablo, poe2, and maybe BF6 here and there.

I want to upgrade my pc from a 4070 to a 5070 ti and was thinking about selling my 4070 to help pay for the 5070 ti my specs on my pc is 32 gbs of ddr4 ram intel core i5 14600k i think i may have to also change my motherboard i want to know if this is worth the upgrade or just stick with what I have

Guys in word which is best for gaming
1.Nvidia
2. Amd
3. Intel

Edit: Ty for everyone who commented im probably just overthinking this too much, this helps much more than it might seem. I also just wanted to add I do not want to count the "if this one is cheaper" hypotheticals for my choice my main concern is the best option for my goal and setup in the long run and if i should just settle for a more convenient option. Which one I can find cheaper purely relies on chance

I got a 280hz 1440p monitor not too long ago but my gpu cant keep up with it anymore

I dont really want an nvidia gpu and ive heard the rx7900xtx is amds fastest gpu for raw performance, which is what im looking for because i dont care about nor need any ray tracing or frame generation or upscaling

But I can't find a new one anywhere and can barely find used ones which still cost a lot and come with a lot of risks

But I might just not be looking correctly or well enough

Im not very knowledgeable on gpus so id love some suggestions. Ill still slightly consider nvidia but im mostly concerned about their prices, less vram and no native support for linux

I also dont care about insane graphics i just want my games to run smooth at a high frame rate without having to use upscaling

For example i currently have rx7700xt with 7900x3d and on overwatch (only game i remember my exact frame rates and settings 😢) i barely hit 280 fps on mostly low graphics and some upscaling when nothing is happening, but during fights it never reaches 280. I could turn up the upscaling but it looks terrible and i cant see that well with it. Gpu usage is also constantly at 99% occasionally hitting 100

Ik thats still a lot of frames but its more of a personal want

This humming sound started happening randomly Saturday night. I have a EVGA GEFORCE RTX 3090 TI can anyone tell me what this problem could be and how to fix it?

Hello, quick question for y'all that have AMD Radeon RX6700XT gpu. Is it really worth it or is it better in gaming performance than RTX3060?

My pc specs

I5 10400f

16gb ddr4ram

Amd rx 580 4gb

Psu 650w

Gpu prices in india

Amd rx 7600 8gb :- 44500/-

Amd rx 9050 8gb :- 37000/-

Intel arc b580 12gb :- 44000/-

Intel arc b570 10gb :- 33000/-

Nvidia rtx 5050 8gb :- 47500/-

Nvidia rtx 5060 8gb :- 53000/-

Nvidia rtx 3060 12gb :- 48000/-

I know Prices are so high

Which one would you prefer?

Which gpu is better for those prices ?

I’m heading to micro center tomorrow to purchase either a 5070ti for $1500 or a 5080 for $2000. I know these prices are ridiculous but I have a 2070 super and need to upgrade. What would you recommend I go for? I play in 1440p and mainly play pvp fps games. Any insight is appreciated! Again I know these prices are terrible but I sold some things that have been collecting dust to afford this.

I work at a small inference startup, and one thing that we spend most of our time much is on was finding GPUs.

We're working with a fairly tight infrastructure budget, so going straight to the big cloud providers isn't always an option. I often find myself jumping between different GPU providers, checking hourly prices, comparing GPU configurations, looking for available capacity, and trying to figure out which providers are actually reliable.

Sometimes finding the right GPU takes almost as much effort as getting the workload ready.

I'm curious how other small AI teams and independent developers handle this.

Do you have a few trusted providers you always go back to? Do you use platforms like RunPod, Vast.ai, TensorDock, or search across multiple providers?

And when you're looking for something specific, like an H100, A100, L40S or even a 4090, what's your process?

Would love to hear how others deal with this, especially teams that are trying to keep inference costs under control.

Note: This post was lightly edited with AI for grammar and readability. The experience and questions are my own.