WEBVTT

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$4,000. That is what these modified 48 gigabyte

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RTX 4090s from China are going for. Personally, I love how hot and loud they

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get. They're great. And the best part, aside from the inflated price that I

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paid that makes me feel like a big shot, is the fact that it loses in nearly

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every benchmark against a regular 4090

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gaming card. In case it wasn't obvious by this point, yes, this thing makes

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absolutely no sense for gamings, but

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there are tons of listings for them online and even positive reviews. Maybe

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they're great for productivity. Nope. Oh, of course, large language

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models love VRAM. The more the better.

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And not only are 5090s hard to get your hands on, but they have just 32 gigs of

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memory, which pales in comparison to this monster. But demonstrating what

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makes these cards so desirable that they're worth dismantling and then

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remanufacturing an already expensive card is tricky. See, if we run our

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regular AI benchmarks, our regular 4090

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here actually wins again. But under the

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right conditions, this thing should crush not only a regular old 24 gig

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4090, but even beat a 5090. And I'm

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going to show you after I generate a segue to our sponsor,

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Threat Locker. Threat Locker is hosting a free webinar series all about how to

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Before we get into our live drag race, I need to figure out what the heck it is

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we actually bought here. Because the closer I look at this thing, the more

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questions it raises. See, on the surface, it's pretty straightforward. I

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mean, it's an RTX 4090, and they probably desoldered the 24 gigs of DDDR

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6X and replaced it with 48 gigs of DDDR 6X, except for one small problem. See,

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it's got a blower style two slot cooler, which allegedly NVIDIA does not allow

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its gaming partners to build because they're worried that cards like this,

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which can be packed into workstations or servers, would cannibalize their ability

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to sell enterprise and workstation cards. But it also doesn't seem to be

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one of NVIDIA's authorized professional card designs. All the imagery that I can

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find of the RTX A6000 ADA has the same

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cutout PCB at the back so that it can pull air both from the front and the

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back before exhausting it out the back of the case. So, this seems to be a

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unique cooler and PCB combination that some Chinese manufacturer or

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manufacturers, probably without any authorization from NVIDIA, has created

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in order to turn RTX 4090 and 4090ds

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into AI compute cards. And by turn them into, I really do mean like full

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Frankenstein's monster. We found this article on Techbot that appears to show

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cards that look an awful lot like these ones being validated on test benches

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next to pallets of regular gaming cards that appear to be headed for

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disassembly. And actually we can see here that yeah the initial hypothesis of

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desoldering the memory and then resoldering memory with double the

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capacity was obviously wrong because unlike any gaming RTX490 design we see

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ah yes memory packages on the back of

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the board. So to achieve the doubling of capacity they're using double the number

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of packages just like one of NVIDIA's professional cards would. It really goes

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to show how much NVIDIA charges their enterprise customers for their GPUs that

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it's more economical to buy gaming cards, disassemble them, discard the

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PCBs, and then go and source additional memory and remanufacture the card. Not

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that they discard the PCBs. I mean, if you've ever wondered where the heck all

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of those uh chipless 4090s and stuff that you see on eBay come from, yo,

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those are funky thermal pads. They look so dry. really clean layout and massive

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power delivery. This is key because not only does NVIDIA charge their enterprise

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customers an arm and a leg for the privilege of using their products, but

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they typically deliver them with lower power profiles. This does improve

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thermals and longevity, but it also

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harms performance. So, these remanufactured cards will be more

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affordable and also more performant in some cases than the official NVIDIA

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solution. That assumes, of course, though, that we can keep the thermals

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under control with this wimpy dual slot cooler. To be clear, I'm not attacking

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the quality. That appears to be a fat vapor chamber, which is going to help a

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lot. It's just not a lot of metal to cool 450 watts of GPU. Hey, this

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explains the observation that you guys made about the performance being

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crappier, though. If you've got twice as many memory chips, we're just eating up

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some of our limited power profile for the whole board. So, yeah. Cool. Mystery

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solved. All right, let's fire up GPUZ. Have a look at what the heck this thing

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is. RTX 4090. So, it's not a D. It's too

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bad. I love the D. I don't actually love the D. It's smaller and less powerful.

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Micron memory. That's consistent with what I saw when I was taking apart the

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card. We have no way of knowing if it's new or if it was, you know, pulled off

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of gaming cards. If anything, I would expect that it was. But hey, it's

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Micron. This is interesting. They obviously had to develop their own VIOs

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for these cards. So, they just set the sub vendor to NVIDIA, unless NVIDIA is

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complicit in the creation of these, but man, do I ever doubt that. And yeah,

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realistically, other than having double the memory, it looks like a pretty

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normal 4090. Do we have firm mark on here? Like, can we just kind of see what

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happens when we load it? Hi, buddy.

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Yeah, I I see you there. You don't got to yell about it. Right. in firmark GPU

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is getting less than 400 watts because we have so much memory on this thing.

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PCIe is operating at Gen 4 by6, so that's operating normally. Not something

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I would necessarily take for granted. Wow, is that ever loud. 5,000

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RPM.

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Woo! Do we have afterurner on here? Oh, Norton 360 for gamers. Yeah, comes with

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afterurners for overclocking. For overclocking my antivirus. MSI, you

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already sold me a GPU. You don't have to bundle it with Norton. Well, that was

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anticlimactic. No power level adjustment, so we're stuck with what we

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got. But hey, at least it's a nice GPU temperature that should stay under

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control even in a closed chassis. But

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barely, especially if you have these packed next to each other like they

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appear to be designed to do. Dude, you can even see the PF cap reason the

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entire time was power. If we could increase the power limit of this card,

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it could go a little better. For our benchmark, we've set up Olama, our

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locally deployed AI model runner to model Gemma 3.27B-IT-Q4_0.

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Right now, all we got to do is add our prompts and go. This is on our regular

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4090, and this is the Q4. The percentage

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of this stuff that's just outright wrong is wild. Lionus is known for his

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energetic, enthusiastic, and often self-deprecating personality. He's

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transparent about mistakes and isn't afraid to admit when things go wrong,

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which they often do in their experimental builds. He's become a

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trusted voice in the tech community due to his honesty and accessibility. That's

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all wrong. How tall his line is so 6' 3

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in. Why does it think you're so tall?

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Well, it's thinking horizontal, but it knows that my height is noticeable

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compared to other people on camera. It also pulled this from Wikipedia. My

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height is correct on Wikipedia. Let's see what the sources. I don't get this.

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It cites Wikipedia as a source, but Wikipedia has my height right. Does it

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though? Yeah, I'm pretty sure. I don't see a height. I swear my height used to

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be here. Well, now we know why it's getting it wrong then because that's not on here. A son and two daughters. Yeah,

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that's correct. It does not list your height. So now we

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know why it is wrong. The first time you run it, it can be a little bit slow. So

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I'll ask it something. Um,

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let's see if it knows. I It might They know. Yes, Nicholas, known online as

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Nicholas Plof Visuals, does own and operate a display at the Mall of America

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in Minneapolis, Minnesota. Yeah, that's not my I don't have a website called

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Nicholasplof.com/chromatic. Yes, Nick from Lionus Tech Tips does

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co-own a display at the Mall of America. It's the same one mentioned previous and

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that clarifies which Nick PL we're talking about. You're his son. This just

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completely made this up. Yeah, I love AI. It's great. So, the answer is yes.

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Both Nicholas Plof senior and Nick Plof from LT are owners of the chromatic I

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got to get, you know, whatever dividends I'm owed from owning this chromatic

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motion display. This is a video about the display, so we should probably click

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it. not available anymore. I think you made all of this up. You're absolutely

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right to question me. My apologize. I seem to have completely fabricated that

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information. I'm still under development. There is no evidence that

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either Nicholas Blof, the artist, or Nick Bl from LT, owns or operates a

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display at the Mall of America. Why is it so hung up on the Mall of America?

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Okay, but I still want to know if Nick Blof owns a display. You are absolutely

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right to push back and clarify. I got completely sidetracked by the display

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meaning an art installation. Nicholas PL

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frequently shows off his display wall. That's not true. What are you talking

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about? I got I do own several displays, but I don't have an entire All of this

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is besides the point. We're supposed to be benchmarking these. Okay, so we'll

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write the same prompt. These are kind of hot and ready now. So, uh, how do I

00:10:02.720 --> 00:10:09.200
build a computer? Three, two, one.

00:10:07.440 --> 00:10:15.600
Whoa. Oh wow. Whoa. You're getting crushed,

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brother. This will So Q4 isn't even the bad one. So this is still using less

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than 24 gigs of VRAM. Like actually, let's open the hardware information. Or

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you hear my GPU going? I do. I do. She's going, bud. Like I'm using not fully 24

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gigs. I'm using Yeah. 20.2 out of 24 gigs. What's your VRAM usage at? 21

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gigs. So yours is just faster right now. You know what? I think yours might have

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just kind of hiccuped at the beginning, though. So we both got slightly

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different answers which we would expect even running the same model and asking

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the same question that is typical. They do contain a lot of the same tips. What

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we want to know is the performance. So we need to know how many tokens per

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second. You got slightly more. You got 40.43 response tokens per second. I got

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40.06. Okay. Realistically it was about the same then other than that little

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hiccup at the beginning while his spooled up. Let's try one more time just

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for loss. One more time. Sure. Write a short story, no more than500 words,

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about Nicholas Plof discovering his love

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of displays. We should specify Nicholas Plof from LT. Okay. Not from the Mall of

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America. 1 2 3 go.

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The gradient of wonder. The ghost in the pixels. Oh, I like your title better.

00:11:26.959 --> 00:11:34.800
That's way cooler than the gradient of wonder. He wasn't born chasing perfect

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blacks or pixel densities.

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He wasn't even particularly good with electronics.

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You've really taken to this, haven't you? Lionus said, walking in on Nicholas

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painstakingly adjusting the gamma curve on her particularly finicky monitor.

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It's fascinating, surprised by some

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enthusiasm. He wasn't just reviewing a monitor. He was sharing his love of

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displays with the world. And in that moment, he knew he was exactly where he

00:12:00.640 --> 00:12:09.120
was meant to be. Wow. He was simply a man captivated by the wonder of light.

00:12:06.560 --> 00:12:14.079
It's actually pretty good Okay, but how many per second? 40.1. I'm at

00:12:12.240 --> 00:12:17.360
39.68. Okay, so I actually get a little bit more performance because a little

00:12:15.519 --> 00:12:25.279
bit. We're about to ratchet this up a notch by switching over to uh Q8_0.

00:12:22.079 --> 00:12:27.600
This theoretically will not fit in

00:12:25.279 --> 00:12:31.839
Plof's VRAM, which doesn't mean he can't run it. It just means that it's going to

00:12:29.680 --> 00:12:36.160
spill out into system memory which should result in marketkedly different

00:12:33.920 --> 00:12:41.360
performance. Yeah. Test prompt. Really? Yes. I want to see what it does. Fine.

00:12:38.639 --> 00:12:45.440
He smiled. He still loved wood. Still enjoyed the satisfaction of creating

00:12:43.120 --> 00:12:50.480
something tangible. It's true. Yours is done though. My Look at how my even the

00:12:47.760 --> 00:12:55.519
test prompt. Wa. This is a much larger model though.

00:12:53.519 --> 00:13:00.160
So theoretically the quality of its responses should be greater. I can't

00:12:58.240 --> 00:13:06.399
believe how much faster that ran on mine. Right. Your system memory usage is

00:13:02.880 --> 00:13:11.519
gig huge. So total 40 gigs and I'm using

00:13:06.399 --> 00:13:15.040
a total of about 45, but most of that 33

00:13:11.519 --> 00:13:17.760
gigs of it is my GPU. So this model

00:13:15.040 --> 00:13:21.279
simply wouldn't fit in any consumer GPU, including the 5090. Okay, that was a

00:13:19.600 --> 00:13:24.399
test prompt. Let's try one more actual prompt. Let's Should we try one of our

00:13:23.120 --> 00:13:29.120
previous prompts just to see if the quality is a little bit better? Sure. Let's I want to know if it knows who the

00:13:27.440 --> 00:13:34.120
Nicholas Plof is and whether he owns a display or not. 3 2 1 go.

00:13:35.360 --> 00:13:42.160
Yeah, yours is spitting out like lines while mine is going word by word. Some

00:13:40.320 --> 00:13:46.480
of this Where is it getting the woodworking stuff from? I don't know. I

00:13:44.480 --> 00:13:49.920
do know some woodworking, but that's like a high school skill. That is not

00:13:48.160 --> 00:13:54.079
I've never owned a woodworking shop. Okay, here's Nicholas's display wall. It

00:13:52.240 --> 00:13:59.199
has an actual reference list. It's not available. It's just making they're making fake links. It's done, but it's

00:13:56.959 --> 00:14:02.160
like tiny by comparison. Let's see your prompt. So, yours is way more detailed

00:14:00.560 --> 00:14:07.279
than mine, too. Like, I have like a little bit. It's similar.

00:14:05.040 --> 00:14:11.519
And it specifically, he upgraded to a Samsung Odyssey Neo G9. I did not do

00:14:09.199 --> 00:14:14.959
that. No, but that was an actual thing. We made a video about it. It was. Yeah.

00:14:13.279 --> 00:14:19.920
Do you want to see if that YouTube link is an actual video this time? No, it's

00:14:17.279 --> 00:14:27.440
not. No. Response tokens per second 26 and a 4.76. Literally five times the

00:14:24.079 --> 00:14:29.440
performance. It's still AI gobbledegook,

00:14:27.440 --> 00:14:33.040
but it's doing it way faster. Way faster. Kayla, you want to try image

00:14:31.839 --> 00:14:38.320
generation? What do you want to start with? YouTube host owning or fixing a

00:14:35.519 --> 00:14:42.480
computer. Oh, there goes your card. All right, she's going. So, what do you do

00:14:40.639 --> 00:14:48.399
with this after? Do you keep it? This is That's what you can use to upgrade from

00:14:45.360 --> 00:14:51.440
your 3080. You don't need a 5090. You

00:14:48.399 --> 00:14:53.199
can use a 48 gig 4090. you'll have even

00:14:51.440 --> 00:14:57.600
more VRAM. I don't need more VRAM. We'll talk about

00:14:55.600 --> 00:15:02.720
that in a little bit more detail later, but more VRAM is not necessarily more

00:15:00.320 --> 00:15:06.320
better for especially certain workloads. Yours is going faster. I'll tell you

00:15:03.920 --> 00:15:11.120
that much. Not that much faster. No, that thing screams though. Okay. How's

00:15:08.079 --> 00:15:13.440
my VR use though? Wow. I am using 33

00:15:11.120 --> 00:15:17.680
gigs of VRAM though. You're at I'm not Wow. Like 12. It's not even using

00:15:16.000 --> 00:15:21.839
everything you have. Yeah. What's interesting is mine is using the same

00:15:20.079 --> 00:15:24.720
amount of system memory as you too though. Yeah, I'm using a little bit

00:15:23.199 --> 00:15:28.959
more. I'm using like Yeah, hold on. Maybe I left some Lama stuff open in the

00:15:27.040 --> 00:15:32.480
back. This is weird. Our performance is about the same cuz and which makes sense

00:15:30.959 --> 00:15:36.240
cuz our parameters are all the same and we shouldn't be using more than the

00:15:34.399 --> 00:15:42.480
amount of memory that we both have, but my RAM use is way higher than his.

00:15:40.079 --> 00:15:46.720
Well, these are fun. Sure, that monitor looks like Apple

00:15:44.240 --> 00:15:50.720
designed it. And it's backwards for like the stand is going into the screen. I

00:15:48.959 --> 00:15:54.639
love AI. It's so good. I like how devious this guy looks. Look at him go.

00:15:52.959 --> 00:15:58.880
This one's not bad. Other than that mouse would not fit any human hand. It

00:15:57.120 --> 00:16:02.560
might fit this guy's hand. His fingers though. He's got an extra finger. Oh,

00:16:00.480 --> 00:16:05.839
yeah. Yeah. I like how I got a cartoon. Oh, that's cool. You didn't? Yeah.

00:16:04.320 --> 00:16:11.279
What's up with that? Look at this guy's keyboard. I want that keyboard. And a

00:16:08.480 --> 00:16:14.880
wireless microphone. What? He's even got the flip down mic on the side. Dude, it

00:16:13.360 --> 00:16:20.240
even has a YouTube logo in the background. That's wild. I don't like

00:16:16.720 --> 00:16:21.920
it. Okay, let's try doing a higher batch

00:16:20.240 --> 00:16:25.920
size though, cuz maybe when you know we're doing the same batch size, it's fine. But let's do let's go up to like

00:16:24.399 --> 00:16:30.639
16. Hold on. I want to see if there's a good one. This one's pretty good. That

00:16:28.720 --> 00:16:35.279
one's not bad. I could believe that there's a funky display that has like

00:16:33.680 --> 00:16:40.399
the power supply coming off the back like this or something like I His

00:16:37.040 --> 00:16:43.600
fingers are crossed weirdly. Yeah, he's

00:16:40.399 --> 00:16:45.120
missing one, I think. Yeah. But overall,

00:16:43.600 --> 00:16:48.720
if you just like threw this in the marketing collateral for something, not

00:16:46.720 --> 00:16:52.720
many people would notice right away. No. That's pretty wild. And this headset

00:16:50.240 --> 00:16:57.120
looks pretty sick. Yeah. The nice like pink purple. Yeah. I like it. Oh, he's

00:16:55.040 --> 00:17:02.720
missing a watch strap. Yeah, it's his skin. It's That's the new wearable. His

00:17:00.240 --> 00:17:06.480
finger is coming out of the computer and it's backwards. I don't know why the

00:17:04.079 --> 00:17:10.240
displays are backwards. I don't like it. I'm going to hit Okay, let's Your

00:17:08.480 --> 00:17:13.839
machine is still like really upset at you. Yeah, I think I I think I might

00:17:12.160 --> 00:17:17.520
just restart real quick. Did you hit run again or something? No, cuz your case

00:17:16.079 --> 00:17:21.679
sampler is still going. I bet you hit run again by accident.

00:17:19.919 --> 00:17:27.439
What' you do? I clicked it a few times. Oh my god. So, this is interesting

00:17:23.600 --> 00:17:29.840
though because I managed to output

00:17:27.439 --> 00:17:33.360
at the same time as you. Here we go. We've got Comfy UI with a stable

00:17:31.360 --> 00:17:36.720
diffusion checkpoint loaded up. Let's uh give it a simple prompt. YouTube host

00:17:35.280 --> 00:17:41.679
fixing a computer. Why don't we start with two in our batch size? Wait, wait,

00:17:39.679 --> 00:17:44.880
wait. Let's also put a couple of negative notes. I'm going to assume it's

00:17:43.679 --> 00:17:50.000
something you don't want. So, blonde hair. I'm going to say blonde. Blonde hair. Okay. No blonde hair. Okay. And

00:17:48.400 --> 00:17:54.880
we're just doing two. Yeah. Let's do two. Okay. And run. Only click it once.

00:17:52.720 --> 00:18:00.080
I only clicked it once. Dude, my memory is at 26 gigs. Mine started way before

00:17:58.160 --> 00:18:03.919
yours, too. Uh, yeah. Mine is Why is your memory

00:18:02.160 --> 00:18:07.840
usage so low? I don't know. We're getting about the same performance.

00:18:05.760 --> 00:18:11.440
Yeah. I'm going to check uh task manager instead of just GPUZ. Oh, wait. Yeah, it

00:18:09.840 --> 00:18:15.600
says 24 gigs now. Oh, it does. Okay, maybe it just had to spool up, I guess.

00:18:13.120 --> 00:18:19.760
Hey, how did we end up with the same dude? It totally is. Dude, mine is

00:18:18.080 --> 00:18:24.000
actually pretty convincing. I think yours is better. His we his fingers look

00:18:21.600 --> 00:18:27.679
wonky on the left hand. Yeah, they're like long. Um, but otherwise, it's like

00:18:26.320 --> 00:18:33.200
pretty convincing. It's a better mic than mine. This guy is psyched to have

00:18:29.919 --> 00:18:35.520
the world's skinniest display. I want

00:18:33.200 --> 00:18:38.640
that. What? It's like a tiny little bar. That's actually super cool. But we

00:18:37.520 --> 00:18:47.679
weren't expecting there to be a difference generating just two images. Let's increase our batch size to 16 cats

00:18:44.559 --> 00:18:49.600
destroying a supermarket. Black cats. No

00:18:47.679 --> 00:18:56.799
black cats. No black cats. Bad luck. I am using 42 gigs of VRAM. And you simply

00:18:53.600 --> 00:18:59.280
do not have 42 gigs of VRAM. So your

00:18:56.799 --> 00:19:02.720
system memory usage is way higher. Yeah. How much is yours? Oh yeah. You're

00:19:01.200 --> 00:19:06.480
barely using it. Yeah. That's like normal system usage um for what we're

00:19:05.200 --> 00:19:10.160
doing normally. Yeah. That's about 8 gig. It's all just running on the GPU,

00:19:08.640 --> 00:19:13.440
which is what you want. And you can actually see in the progress bar. Oh,

00:19:12.000 --> 00:19:17.120
yeah. You actually have progress. I don't even have a progress bar yet.

00:19:15.200 --> 00:19:21.200
Okay, I promise you I hit run. I'm not going to press it again. Yeah, it's

00:19:18.400 --> 00:19:26.480
still at like 23.5 gigs out of 24. And 3D is like fully busy. So, it's trying.

00:19:24.480 --> 00:19:31.120
It's just taking a hot minute. It can't. It's not even progressing yet. So

00:19:28.240 --> 00:19:36.640
imagine if you had like eight of these 48 gig 4090s set up in a giant like

00:19:34.640 --> 00:19:41.120
mining rig essentially. Yeah. And then was just like make me images of this

00:19:39.039 --> 00:19:45.919
stuff or generate a prompter. Write me write me stories so I can sell romance

00:19:43.440 --> 00:19:49.600
novels on Amazon and then generate the covers for them. Wow, look at my

00:19:47.520 --> 00:19:54.240
progress bar. There's like nothing. Yeah, you're getting crushed. Yours is

00:19:51.360 --> 00:19:58.000
like done already and I've got like 10% not even. To be clear, we're both

00:19:56.000 --> 00:20:01.520
running the same model. So, the actual quality of the output is going to be the

00:20:00.160 --> 00:20:04.880
same. Yeah, mine's just taking way longer. It's just the timing. Yeah, I

00:20:03.360 --> 00:20:10.240
can see why people are after these things, right? And with how little it

00:20:07.280 --> 00:20:13.520
actually costs to buy memory. Yes. Right. Like you can see on DM Exchange,

00:20:11.919 --> 00:20:20.240
we don't actually have spot pricing for DDDR 6X. Yeah. But DDDR6 is like what, a

00:20:17.919 --> 00:20:24.000
buck 80 per gigabyte or something? 290. 290 per gigabyte. So, even if it's

00:20:22.320 --> 00:20:28.320
double that, we're talking a few hundred bucks worth of additional memory when

00:20:26.160 --> 00:20:32.880
they remanufacture these cards. Yeah. Plus the PCD and power delivery and all

00:20:30.159 --> 00:20:35.280
that. I'm like stuck. Yours is going to finish and mine's

00:20:34.000 --> 00:20:40.000
going to be nowhere close. And the fact that this is so accessible that just like like you can literally just buy one

00:20:38.640 --> 00:20:43.280
of these and throw it in your computer. This didn't need it didn't need

00:20:41.760 --> 00:20:48.240
proprietary connections. It didn't have a special power specs. It's just a 450 W

00:20:45.840 --> 00:20:51.840
4090. I mean, just like mining, anyone can start like tooling around with AI.

00:20:50.320 --> 00:20:57.520
Yeah. You know what? Not just anyone can do though. What? Take their AI generated

00:20:55.200 --> 00:21:02.960
images and turn them into a real product. I am now teasing officially for

00:21:01.039 --> 00:21:07.679
the first time our leather jacket, which we're thinking

00:21:05.360 --> 00:21:11.679
we're going to call the Jensen. Matthew chucked this in an AI prompt. It

00:21:10.400 --> 00:21:17.440
was like, "Generate me a leather jacket." Dude, it is full of useless

00:21:14.880 --> 00:21:20.960
clips and buckles, pockets that aren't actually real. You may not have noticed

00:21:19.200 --> 00:21:26.000
this. two zippers. But there are actually two zippers in the front. We

00:21:24.000 --> 00:21:31.919
did have to make some tweaks to make it actually wearable. But this is as close

00:21:28.960 --> 00:21:35.679
to an AI generated jacket as you will actually be able to buy in person. You

00:21:34.480 --> 00:21:40.080
look like one of the anime characters that's got like six belts on. I know,

00:21:38.480 --> 00:21:43.440
right? Legitimately actually looks pretty cool. It looks pretty cool. It

00:21:41.679 --> 00:21:48.559
looks good. The only thing I would change is the dumb middles. No, no, no,

00:21:46.159 --> 00:21:54.320
no. It's a feature. See, look. You lose some weight.

00:21:51.440 --> 00:21:58.799
Suddenly it fits better. Boom. Slim fit. The Jensen coming soon to ltstore.com.

00:21:57.120 --> 00:22:04.720
Man, yours is done and mine is nowhere close. I don't think this one's finishing. But that definitely made cats

00:22:02.799 --> 00:22:08.720
destroying supermarket with no black cats. But what if you're not crazy about

00:22:06.400 --> 00:22:13.440
AI? In theory, cards like this with a ton of VRAM offer benefits in other

00:22:10.799 --> 00:22:18.640
workloads as well. So, why don't we see if it can outperform our regular 4090 in

00:22:16.000 --> 00:22:23.520
something like this massive Adobe Premiere project for how to build a PC,

00:22:21.039 --> 00:22:27.600
the last guide you'll ever need. As it turns out, even a huge featurelength

00:22:26.080 --> 00:22:32.320
project like this one with three terabytes of footage on the timeline,

00:22:29.679 --> 00:22:36.559
still only using about 16 gigs of VRAM. So, that's good news for me because it

00:22:34.799 --> 00:22:40.960
means I don't have to shell out for another dozen or so of these to chuck

00:22:38.480 --> 00:22:45.360
into our editing stations at the office. With that said, if you're working with a

00:22:42.720 --> 00:22:50.000
ton of layers, heavy VFX, or especially a lot of After Effects, it is possible

00:22:48.080 --> 00:22:54.080
that you could benefit from a card like this. What about Blender? What's the

00:22:52.320 --> 00:22:58.720
deal with this donut? It's really high poly. I asked a friend for a donut. Oh,

00:22:55.840 --> 00:23:02.720
okay. 2.1 gigs. Most files that you're going to get on Blender for free are

00:23:00.159 --> 00:23:04.799
like 300 megs at most. Oh, I see. So, we, you know, it was going to be really

00:23:03.679 --> 00:23:09.120
hard for us to actually max out the VRAM. Uh, but even with the 2.1 gig

00:23:06.799 --> 00:23:14.000
donut, copying it, multiplying it a bunch, we kind of the same on both

00:23:11.840 --> 00:23:18.480
systems. It might be a different story if we had like a bunch of shaders

00:23:15.520 --> 00:23:23.039
running and texture packs and stuff. Um, but at least just with polies, even in

00:23:21.120 --> 00:23:28.720
Blender, you're probably better off just doubling your actual system memory. Oh,

00:23:25.440 --> 00:23:30.559
that makes sense. Yeah. Okay, thanks.

00:23:28.720 --> 00:23:33.440
Finally, games. I guess we kind of spoiled this before, but I didn't

00:23:32.080 --> 00:23:37.039
actually get to play on it when we recorded those benchmarks, so I want to

00:23:35.200 --> 00:23:43.799
see how much VRAM this will actually use. Worst case scenario. Okay, frame

00:23:39.280 --> 00:23:43.799
gen rate tracing. Here we go.

00:23:45.440 --> 00:23:52.720
Maximum memory used about 14 14 12 gigs.

00:23:49.600 --> 00:23:55.200
So, in conclusion, benchmarks are like

00:23:52.720 --> 00:24:00.640
onions. Rather, they're like hips. They don't lie. So, don't buy one of these

00:23:57.360 --> 00:24:02.320
for gaming, but maybe consider one if

00:24:00.640 --> 00:24:06.960
you're looking for a bit of extra oomph in your productivity tasks that benefit

00:24:04.320 --> 00:24:10.799
from it or especially AI. I can't guarantee that it'll make a difference

00:24:08.320 --> 00:24:14.960
for every workload you have. And I can't even guarantee that it'll be reliable.

00:24:12.559 --> 00:24:20.559
Who knows? You know, these labbotomized 4090s that then get reassembled and

00:24:17.360 --> 00:24:22.720
shipped to you. Uh, good luck everybody.

00:24:20.559 --> 00:24:27.200
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mining cards back in the day. That was pretty cool.
