WEBVTT

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The highlight of the NVIDIA keynote for me was when CEO Jensen Huang quipped that

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if you bought an RTX 4090, that was probably the best investment you could make.

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I mean, just consider all the entertainment happiness that it could give you.

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But one small thing, Mr. Huang, when NVIDIA launched the RTX 4090, your stock price was

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about $1150. So if someone had bought that instead of a 4090 as their investment, well,

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hey, good news, because they should be able to comfortably afford a 5090 or 10.

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As for everybody else, well, unfortunately NVIDIA doesn't take happiness,

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so you're going to be trading a truly princely sum for the privilege of experiencing their latest

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and greatest. But, affordability aside, this was a heck of an event. NVIDIA kicked it off with the

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most beautiful real-time render demo that I had ever seen and then followed it up with a slew

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of new RTX Blackwell 50 Series GPUs with brand new technologies like DLSS 4.0,

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DLSS Transformer, Neural Faces, and some of the GPUs even have prices that, taken at face value,

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might actually be kind of exciting. Jensen claimed on stage that the 5070 will offer

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4090 levels of performance at $549. Then immediately followed that up with a huge red

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flag saying that this feat would be impossible without AI. So I was all like, sick, and then I

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was all like, I wouldn't want to see it. Well, no sooner did I say that than some burly guys in

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green showed up and said, all right, you cynical tech-tipping son of a bitch, we're going to show

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it to you right now, but you've got to do the thing. The thing, I said. Yeah, the thing.

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All right, the thing, the segue to our sponsor.

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We'll get to some of the AI and data center stuff from the keynote, but first I want to talk G-Force,

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and right now we are behind the scenes getting the first ever hands-on with the RTX 5090.

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Well, we aren't yet. Now we are. They didn't tell me I could touch it,

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but they can't stop me. They're way over there. Before we go deeper, there are a couple of things

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that stood out immediately from their sizzle video for this thing. I mean, yeah, there's the

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incredibly compact PCB with the state-of-the-art power delivery that enables a sick dual fan,

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dual slot cooler with pass through for both of the fans. That's right, both of these fans are

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blowing right through the cart, but this, thank you. No more need for fire-prone right-angle

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adapters to clean up your cable management. An angled power connector. Okay, okay, Linus,

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it has a nice cable, but what about the specs? Oh, I've got specs. Let me put it this way.

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If you have a 4090 right now, the 5090 is the GPU that she tells you not to worry about.

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In raw numbers, here's what that looks like. This is going to be one heck of an upgrade.

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I can't wait to see it in action. So why am I waiting? Let's do it. Here, relegated to the floor,

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like a common chicken, is the previous king, the RTX 4090. Why don't we start there?

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NVIDIA can't let me show you guys much prior to the performance embargo in a couple of weeks.

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We get one game, and only one game, and we can't change the settings. But I can't think of anything

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I'd want to change here. Absolutely everything is cranked. And to their credit, they did load up

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frame view, so I won't be purely relying on feel to evaluate the difference. Okay, so let's play

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on the 4090. Yep, that's a pretty powerful GPU still. And it's even more powerful than you

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probably realize. Before we move over to the 5090, this build of Cyberpunk has some new goodness

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baked into it, including NVIDIA's new transformer model and DLSS4 Framegen. So the results we're

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getting, even on the 4090 here, are not going to be comparable to your system at home. This guy

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is performing a little better thanks to some of these changes. It's nice that it's getting the

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extra help because this is not close. Even without looking at the numbers, which are double,

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this is wickedly smooth. I still remember, I think it was on a ShortCircuit or something,

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we were looking at a system from, I want to say main gear. It was my first time playing

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Cyberpunk on the 4090 because I hosted the review and everything, but I never actually got to game

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on it. And I was like, oh my God. Yeah, this is a lot faster. And it's like, where are the polygons?

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You know, where have my polys gone? Sure, the thing is priced at $2,000, a 25% increase,

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and is rated at 575 watts. But for the first time in what feels like forever, at least for

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getting more for the money. This feels like a truly halo tier product, the 512-bit memory bus,

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5,000 more CUDA cores, and noticeably better performance. I can't believe that this is

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Cyberpunk running at 4K with ray tracing. I can't believe it because it isn't. FrameGen and AI-assisted

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ray tracing are doing a lot of heavy lifting here. Jensen gave us a bit of insight into this,

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telling us that out of the about 33 million pixels in his demo, only 2 million of them were

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calculated with the rest extrapolated using AI. But okay, I mean, it doesn't matter as long as it

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looks good, right? So how good does it look? Well, I'm supposed to be just showing this off.

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What I've actually been doing is looking around for a couple of interesting examples

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of how DLSS4 really doesn't handle everything perfectly. See the way this text kind of jitters

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and blurs if I move around? It's not as clear as the rest of the frame. It's okay if I strafe.

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And I've noticed some instances of particularly bright or high contrast objects having little

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ghosts on them. With that said, I know what I'm looking for. Other reviewers are going to know

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what they're looking for. If I were to put one of my siblings in front of this, it looks pretty good.

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And NVIDIA was quick to point out that this is both running at lower latency

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and with fewer artifacts than DLSS 3.5. Enough about the 5090 that, let's face it,

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most people aren't going to buy. Let's talk about the rest of the family.

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The RTX 5070 comparison to the 4090 should be taken with a grain of salt. I mean,

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obviously that's going to be with DLSS version 4. Obviously that's going to be using their new

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MFG or multi-frame generation at 4x. That feature is limited to 50 series cards and

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is powered by AI. And obviously the situation might change depending on the resolution you're

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running. I mean 4K needs a fair bit of VRAM. So can a few hundred more CUDA cores net such a

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wild performance boost, especially with so much less VRAM? It's a bold claim. But with this mix of

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next-gen CUDA, Tensor and RG cores, along with DDR7, it could very well achieve it, at least in

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some titles. And if it looks anywhere near as good as this does, while costing less than half

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of what the 4090 did at launch, well, I certainly wish that it had 16 gigs of VRAM, but even without

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it, they are going to sell a lot of these. Not to me, you might say. I want 16 gigs of VRAM. Well,

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then you are going to need to take another step up to the 5070 Ti or another another step to the

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RTX 5080. And about these. If prices had stayed the same, I'd probably be pretty pissed off right

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now. But the two 70-class cards they showed today are $50 less than last-gen. And I don't know if

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that's because of competition, but hey, progress. And it actually gets better. The RTX 5080, with all

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the other bells and whistles that we've mentioned so far, and sporting an additional 1000 CUDA cores

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compared to its predecessor, is set at just $999. I say just. I know a thousand dollars is still

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really expensive, but that is down $200 from the RTX 4080 or about 16%. It's got next-gen

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everything, a thousand more CUDA cores, more than double the AI tops, and more memory bandwidth,

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meaning it should deliver legitimately flagship-class performance at that price,

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even if there does exist an even higher end card for the Mega Ballers out there.

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Right alongside their new desktop GPUs, NVIDIA announced 50 series for laptops as well. They

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start as low as $1299 with the RTX 5070, and they are claiming 4090 performance using half of the

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power. And then the lineup goes all the way up to an RTX 5090 at $2899. By the way, if you want to see

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our quick first initial reactions to MSI's 50 series cards when we were under embargo, and to

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watch us print Colton, why don't you check out our behind-the-scenes video over at LMG.gg

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slash flowplain. But wait, there's more. Jensen brought a wafer prop onto the stage to illustrate

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the incredible technology that's built into their NB72 AI racks. He described it as equal to 20 cars.

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I'm not 100% sure if he meant in terms of complexity with the 600,000 parts or price.

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Either way, each one draws 120,000 watts, contains 130 trillion transistors,

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and has 1.4 XFLOPS FP4. But do what with it? Well, I'm not sure yet, but it's exciting,

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and he wasn't done. Another big announcement is Cosmos, a world foundation model that's designed

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and created to understand the physical world. There are three levels of models, and they're all

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openly licensed and available on GitHub, Nano, Super, and Ultra. They're saying this is kind of a chat

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GPT moment for robots to help them interact with the real world, which is super cool and also kind

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of scary, especially when they brought the army of robots onto the stage. That was cool. Anyway,

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the point is you should be able to give a robot a prompt and then just watch it do the thing in

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the virtual world so that it can train itself virtually. They did it. The Matrix. But it's

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the humans bamboozling the robots. Oh, dodged a bullet there. Anyway, a big part of the reason

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for this is that when you're training something like a car, you can just do it in the real world.

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We're driving around with cameras all the time. We've got lots of data. But when it comes to

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humanoid robots, it's a lot more challenging because they aren't just running around doing

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stuff because if they were, it'd be extremely dangerous. So the idea with Cosmos is to take

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the wear and tear out of the equation, which will hopefully mean that costs can go way down in robotics

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development on a physical level. Just exactly what this is going to mean in the long term for everyone,

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including potentially a lot of warehouse workers that aren't going to need to move things around

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anymore. Well, I guess we'll see. But wait, there's even more. NVIDIA has announced, you guessed it,

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a ton of partnerships around robotics and machine vision promising to take the training that's

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happening in Cosmos and apply that to the real world. That was coupled with their new Thor AV

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computer, a blackwell based robotics processor that also has their grace ARM CPU cores on it that

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can handle a ton of visual data at once like cameras, radar and LiDAR. They're boasting 20 times the

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processing power of their previous generation, which is absolutely wild. And last but not least,

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they included a couple allusions to the multi trillion dollar industries that they're going

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to be addressing with all of this technology. So well, will NVIDIA stock price or even higher

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thanks to our new robot overlords? Again, I'm not sure because as NVIDIA carefully noted,

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all of these are forward looking statements and can't be taken as pure fact. Finally, last but not

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least, they surprised everyone, including Nintendo by announcing the Switch 2. I'm kidding. I'm

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kidding. I know that didn't happen. Anyway, that's it. The nearly two hour keynote ended and I had

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just enough time after trying the RTX 5090 to give you this segue to our sponsor. If you guys

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enjoyed this video, thank you for watching. Check out the rest of our CES coverage. Maybe the AMD

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announcement? Gotta go.
