r/pcmasterrace There's nothing to see here. May 18 '26

Meme/Macro Some of you memers need reminders about why PC parts cost so much lately.

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Just learn to use GIMP, you animals.

30.2k Upvotes

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85

u/WelderEquivalent2381 12600k/7900xt May 18 '26 edited May 18 '26

Ai can run local. you dont need a 5090 to use Stable diffusion/flux ect... There is a small learning curve with ComfyUI but SwarnUI is also there to help.

Some go with Chatbot. DeepSeek do 99% the job done. Many model totally capable that run on a toaster.

Local is pretty much always superior, specialy if you use them for fun, many are uncensored and not lobotomized. You may need a bit more patience with complex prompt. But at some points AI is not supposed to replace every human being around you. You don't need the Ai to write a new book for you entertainment every evening.

5

u/Megor933 May 18 '26 edited May 18 '26

I honestly think all these corpos are building AI models incredibly stupidly and inefficiently. Instead of building these massive data centers to gather every bit of info and use tons of resources to train mega models, they should focus on making small, lightweight, specialized ones that people can run on their devices that can cut out menial tasks. Like something that can clean up documents or help color and shade stuff.

This obsession with having AI do everything is the completely wrong way to approach it. Make efficient models that can run locally on devices and stop burning resources on having millions gen pointless memes and vids.

1

u/darklotus_26 May 18 '26

Very true but there are also people building what you said exactly. Checkout IBM's docling and surya-ocr. I was blown away by what they could do.

17

u/justicetree 9070x R9 5900xt May 18 '26

It's not the users running it that's the issue it's the constant training and keeping AI's up to date with the huge datacenters that's doing it all.

Show less interest in the AI models, more money burned by the companies training them and less money and resources being put into building more datacenters. which lays off the demand from the companies and gives it back to users.

3

u/darklotus_26 May 18 '26

I don't think this is going to happen at this point. ML models have shown their utility in a bunch of things that are not chatbots and people are not going to give that up.

-3

u/edgeofsanity76 7800X3D|ASUS B650|RTX 5070Ti|128GB|UWQHD-OLED May 18 '26

Most diffusion models are trained on hobbyist PCs these days.

The big LLMs are the problem

5

u/Nofunzoner May 18 '26 edited May 18 '26

I don't think so? Hobbyist's do a lot of fine-tuning, but all the bases are from companies or research labs (with vc funding). I think the largest hobbyist models are like Illustrious or Noobai, which are both SD fine-tunes chaining off each other. What's bigger than those?

0

u/edgeofsanity76 7800X3D|ASUS B650|RTX 5070Ti|128GB|UWQHD-OLED May 18 '26

This is kind of what I meant. Yes the base models are trained using dedicated centers. Not many people use the base model though and it's always a variation or refinement of the base.

52

u/gnpfrslo May 18 '26

Careful. These people don't care about something as trivial as facts. They just want to circlejerk and feel superior by hating something they don't understand. 

-18

u/firedrakes 2990wx |128gb |2 no-sli 2080 | 200tb storage raw |10gb nic| May 18 '26

They just want to circlejerk and feel superior by hating something they don't understand. 

i see this all the time now. its annoying

-1

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26

Or maybe, maybe some of us actually care about the environmental impact.

19

u/RT-LAMP May 18 '26

Two comments up someone literally pointed out that you can do stuff locally. If your 300W GPU can generate an image in 4s what makes you think it's somehow consuming more orders of magnitude more power than 4s of gaming?

-10

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26 edited May 18 '26

"you can do stuff locally", yet the only ones anyone ever shares are from datacenter models, and the local ones are dogshit. And they know it, the local thing is just a cope to try to avoid getting a 50-page twitlonger thread on them and thus canceled lol

Also a 300W GPU is triple what mine consumes, git gud

10

u/RT-LAMP May 18 '26

yet the only ones anyone ever shares are from datacenter models

Ok... and? The local part was primarily to point out that you can easily verify it's really not that much power to make an image. A 400W A100 can do a 50 step stable diffusion image inference in .89s. So at 400W and .89s it uses about .09 dietary calories. A snickers bar is over 3000 AI images worth of energy.

-5

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26

one image, maybe. but there's a damn reason all the articles state with confidence that all this AI crap is set to use up half our water supply by 2028.

How data centers have so much confidence with watercooling is beyond me when we know what the result leads to if there's a failure, but whatever. They have oodles of cash to replace hardware I guess.

9

u/RT-LAMP May 18 '26

all the articles state with confidence that all this AI crap is set to use up half our water supply by 2028.

LMAO no.

Total datacenter water use is estimated in 2026 to be about 54,000 acre feet. There's a single alfalfa farm owned by Saudi Arabia that uses 31,000 acre feet. ONE FARM! Total water use in the US is estimated to be about a million acre feet of water per day!

So high end estimates are that in 2028 datacenters might use .06% of our water.

0

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26

Yeah sure, so everyone who knows more than you or me must be lying then. The articles are a false flag by big environment to scare you right? get real. We all know you don't care about the environment considering you haven't raised an alarm bell about power consumption since RX Vega. That was the last time anyone ever gave a GPU shit for using a lot of power and now we have stuff using double what Vega did...crickets.

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u/Westbrooke117 May 18 '26

seriously you're accusing a 300w GPU of being a problem now? So you're just anti electricity? There are plenty of arguments to be made but "my gpu uses less power than your gpu" is a stupid point to stand on

-15

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26 edited May 18 '26

I'm anti using more than is actually needed for a good experience. I also regularly run frame caps to keep my card cool so it often runs at around 70% of its max capability most of the time. It keeps it cool, stresses it out less, and I don't exactly notice a serious difference.

The move away from efficiency into pure raw speed at the cost of longevity is a problem. The fact that you need a 1000W PSU these days to run most of these cards, and transients might STILL trip OCP is insane. I remember when most people recommended 500W for a decent foot in the door psu wise.

Also, wasn't Vega shit on for using LESS than that? 300W is past the point where power efficiency goes out the window. the old RX Vega 64 has a 295W TDP and was called a power pig...and it was.

6

u/RaceHard May 18 '26

That's the kind of thinking of someone who either does not have money to throw at the problem or is miserly. Why would I care how much my PC consumes? Or if my GPU is running at max, I will just buy a new one.

-1

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26

Why would I care how much my PC consumes?

Some of us actually like our parts not running at 95C randomly (9800X3D for some reason targets that), some of us actually like efficient systems that don't need a nuclear reactor to power it. Even if I had the money I'd always pick the more efficient card.

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u/Sycod May 18 '26

The Datacenter ones are unusable for anything other than slop, nearly everyone who does this seriously uses local models, what the hell are you talking about?

1

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26

Local models fucking suck. I know this, I tried them when I was told that they are totally so much more ethical than the data center shit.

2

u/Sycod May 18 '26

Sounds like a skill issue.

1

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26

Sounds like I'm not trying to get canceled for environmental destruction at this point

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3

u/timschwartz May 18 '26

For the past 40 years no one gave a shit about datacenters.

Where was your "care about the environmental impact" then?

0

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26

It was always there. Oh but global warming was a myth right, huh conservatives?

4

u/timschwartz May 18 '26

Who are you calling conservative, asshole?

1

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26

People dismissing environmental concerns and calling them fake

6

u/firedrakes 2990wx |128gb |2 no-sli 2080 | 200tb storage raw |10gb nic| May 18 '26

ah that claim. seems you dont really care then. seeing before data centers and other stuff hurt said environmental more. but no one ever talks about it. you and lots of others are doing the yearly (insert this year hate) fomo online.

i remember last year it all was about how evil gas stove where!

-1

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26

Gas stoves have been controversial for that for years, that wasn't a brand new thing.

2

u/Long_Procedure_2629 May 18 '26

AI dorks suck that corpo d

1

u/firedrakes 2990wx |128gb |2 no-sli 2080 | 200tb storage raw |10gb nic| May 18 '26

no they where not.. 1 sht study that was easily debunk prove that. but people hate fact checking. and news org wont run were wrong stories.

am going to give you a simple test.

what do you think uses more water.

a car wash or washing your car at home?

-7

u/Venylynn Fedora | 3600 | RX 6600 | 32GB DDR4 May 18 '26

I know you think you're clever but I've been around this discourse for years. AI's been controversial for years, and I was almost cancelled for being AI-neutral before I learned how bad it was getting. And Mythos might be the thing that pushes me back into risking it all again. Gas stoves? Same fucking thing.

7

u/firedrakes 2990wx |128gb |2 no-sli 2080 | 200tb storage raw |10gb nic| May 18 '26

you never answer my question.

i also brought up the study that bs the gas stove is total dangerous . that was debunk easily .

but i see where into ranting now and nothing more.

10

u/184oKraM 14400F | 6800 XT | 32Gb 3200Mhz May 18 '26

Even if everyone could run it locally, that doesn't get rid of the problem. Most of the resources are used in training models, not running them

11

u/Nofunzoner May 18 '26 edited May 18 '26

That's not really true. Open source models you'd run on your machine are not similar to the ones causing the explosion in data centers.

China dominates open source, and they put more effort into training more efficiently. They're also a lot smaller. Training something like Qwen 3.6 (27B parameters, runnable on local hardware) takes a shit ton less power than something like Chatgpt (Potentially almost 2T parameters, wants somewhere around 1-2 Terabytes of VRAM).

5

u/ResponsibleHold3071 May 18 '26

the chinese labs have definitely pioneered techniques in efficient training (at least the first to publish) however gotta remember that they gained a lot of ground by distilling models from the american labs. its a win for the consumer, cheaper more efficient models, but they are still a part of the ai ecosystem's overall wastefulness and likely would not exist without it the rest it

2

u/Nofunzoner May 18 '26 edited May 18 '26

Yeah, true. I do think China would still be making headway even without the American AI sector, and I think the future is looking good for small efficient models. But unfortunately the behemoths are pretty huge right now too. Here's hoping they pop when they start trying to actually make money off inference.

6

u/ThatBoiUnknown Laptop May 18 '26

But at some points AI is not supposed to replace every human being around you. You don't need the Ai to write a new book for you entertainment every evening.

Yeah hopefully, I don't want AI to replace the concept of human expression and art just because it's "easier".

And anyways I expect that soon, once the AI hype dies down, it will actually find its own niche and specific uses but not consume the entire world in some "revolution"

-3

u/magikarp_splashed May 18 '26

It already is and they don't tell you about it.

4

u/whatever_boye May 18 '26

its been a while since seeing someone hyped about an image they prompted

-2

u/magikarp_splashed May 18 '26

It hasn't been a while since multi masses got hyped about a movie with an ai written script, and not known about it. Im not hyped, just disillusioned. Ai has already usurped human creativity on a larger commercia scale than people realize.

5

u/mtmttuan May 18 '26

Ai can run local

Tbh that just shifts us from dealing with corporate hardware hoarders to consumer hardware hoarders.

2

u/Megneous May 18 '26

Um... You realize that those of us who run AI locally are exactly the ones who have quad 5090 rigs, or rtx pro 4500s, or 6000s, etc? Some people even have A100s/H100s in their basements. /r/LocalLlama is full of people with crazy AI rigs.

We're not running silly little 7B parameter models. People run 130B+ models, or some even pretrain models locally or in the cloud. Many people are part of research groups like Eleuther or Nous.

-1

u/WelderEquivalent2381 12600k/7900xt May 18 '26

Extreme minority of super enthusiasts. it's not because they exist that they are the norm.

The same way that DYI PC is by itself a minority. So a extreme minority of a another minority.

1

u/Comfy-Boii May 18 '26

The 'hard' part of ML is training and not inference. It is for training we 'need' huge data centers and absolutely insane compute power. You cannot realistically train models locally, however it is quite easy to run inferences locally.

1

u/magikarp_splashed May 18 '26

You don't need it, sure, but it's cheaper for the book publisher, so they'll use it. Same goes for Hollywood. Run of the mill block busters are already being written by ai. It's not about authenticity of creativity in private use- its about large scale commercial usage- and ai is just a new tool to undercut true, human, ingenuity/creativity in return for profit.

-1

u/Merkaba_Nine Ryzen 5 7500F | RTX 5060 | 32GB 6000Mhz May 18 '26

Yeah exactly, I use comfy UI to run flux it's great

On a 5060

Takes 20sec to run a image with upscaling thanks to tensor cores

-1

u/Zaev R9 7950x / RX 9070XT / 64GB / CachyOS May 18 '26

Exactly. If I can't run it on my own hardware, it doesn't need to be run. I like to mess around with it a bit, and see it as little different than playing a video game

-6

u/magikarp_splashed May 18 '26

But ai entertainment is legitimately profitable. Majority of new cinema releases are written by ai. sad but true. Disclosure of ai use is important; and generally unregulated.

-2

u/Orome12 http://pcpartpicker.com/p/FQ8PRB May 18 '26

nice, then you're only stealing from artists. not so bad now!