What’s the point of “gaming” PCs? I just realized there’s no difference between an ultra high-end PC and a “gaming” PC so I don’t see the need for a difference.
Bbbububuututt RGB
For god’s sake just add RGB and other high-end components to a normal PC or just swap the case. BOOM! Gaming PC.
What exactly is the definition of gaming PC again?
A gaming computer [sic], also known as a gaming[ sic] PC, is a specialized personal computer designed for playing video games at high standards.
We have generic GPUs with performance that is on par if not far better than RTX in terms of gaming, we have generic RAM sticks with higher capacity, we even have non-gaming hardware that outperform said “gaming” hardware. Hell, I would fucking argue you can make a sick monster build for less money.
But no. Thanks to capitalism pestering everything we love literally millions of gamers flock to anything labeled “gamer” without really looking into whether not that “gaming” hardware they’re about to buy is actually good or not.
Now gamers end up wasting thousands if not tens of thousands of dollars just to find something that looks “gamer-y”
I mean if you want to make a custom PC that looks like a “gamer” one (with RGB and shit) just have the RGB on these only:
- Keyboard
- Mice
- Case fans
- light strips in the fence;
but at the end of the day it’s fucking pointless to call it a “gaming PC” since it’s just a super-powerful computer with high-end hardware.
End of rant. Period.
Hmm, looking at benchmarks, it really does look pretty good. Especially in computing, but the gaming drivers seem to be far from mature. Did you by any chance test machine learning workloads? This seems like a pretty compelling alternative to Nvidia GPUs. It is currently really annoying to try to do any machine learning work on my 6900XT. And I want to avoid Nvidia as much as possible (also on Linux).
https://www.phoronix.com/review/intel-arc-march23 https://www.phoronix.com/review/arc-graphics-compute-q1
I have played some games, and the ones I tested weren’t bad, they mostly matched the 2080, maybe with a bit less consistent frame times. However, the games that I tested are probably not a very good benchmark for overall gaming performance. I tested Minecraft with the most demanding shaders I could find (easily 200-700 fps depending on where I was looking), SpaceEngine with the highest graphics settings it would allow me to set (consistently >100 fps), and KSP 2 which is incredibly unoptimized, and as a result, runs about as well as it runs even on 3090s (around 30fps most of the time).
I tried, but it’s annoying mostly because none of the things I tried supported anything other than CUDA, and I gave up after trying to modify stuff to make it work for several hours. I’ll probably try it again in a little while.
Unfortunately, Nvidia has way better software support for almost all machine learning and ai applications. It can vary if you look up the specific software you want to use.
Unfortunately yes. Thankfully, at least for inference, there are other options, especially with things like ONNXRuntime.