NVIDIA GTC: Jensen Huang's 5 Biggest Announcements

Josh: NVIDIA just held its GTC conference in San Jose, where Jensen Huang walked on Josh: stage in front of 30,000 people and opened with a number that's probably going Josh: to echo across Wall Street for weeks, a trillion dollars in expected orders through 2027. Josh: That's double what he predicted just six months ago from that very same stage. Josh: And then he spent the next two hours, this was a very long presentation, Josh: unveiling why even a trillion dollars is conservative.

Josh: But a lot of people throughout this presentation seem to have missed the actual Josh: reveal. I think they're focused on a few specific highlights when the reality is Josh: The things that he presented that are going to yield this trillion dollars are Josh: probably much different than I think the average person expects. Josh: Ijaz, I know we were chatting as we were watching this two-hour movie marathon.

Josh: What were your thoughts? Did you make it through? Was it too boring? Was it exciting? Josh: What were the first impressions of this presentation? Ejaaz: The thing that excited me the most was the announcement of the DLSS 5, Ejaaz: which seems to be the most controversial announcement. Ejaaz: It's this new 3D rendering AI model that basically refactors old games or gaming Ejaaz: graphics into newer, higher performance graphics.

Ejaaz: So if you're looking on the screen right now, you're seeing a version of a video Ejaaz: game and then suddenly it's enhanced. Ejaaz: It's kind of like a Snapchat filter, which I think a lot of the gaming community Ejaaz: had backlash about. They thought it was just AI slop. They didn't really vibe with it. Ejaaz: But in my opinion, it's actually quite a good product and would make me more Ejaaz: engaged to play the actual game.

Josh: So it was surprising to see DLSS 5 get the attention that it Josh: did just because nvidia announced some unbelievable stuff and Josh: seemingly this was the headline at all the news outlets and it's Josh: basically an ai upscaler for video games it takes existing Josh: graphics that are you know pretty decent and upscales them it makes the facial Josh: features better it increases the dynamic range the highlights the shadows and

Josh: when i saw it i loved it i was like oh this is pretty cool but the internet Josh: reaction to this was far from what mine was i mean if you're looking at the Josh: video on screen it increases the facial features if you're And now looking at Josh: the meme on screen, that was the public perception. Josh: It was also negative for such a small feature that Jensen dropped in a two-hour presentation.

Josh: So EJs, do you have any idea what's going on with this backlash here, Josh: particularly around DLSS 5? Ejaaz: I think the point around the gaming community is they're just very sensitive Ejaaz: around AI being involved in art. Ejaaz: And I get it, right? Like some things can be kind of cringe and doesn't seem Ejaaz: very human. But the point is, like, this just makes graphics of games way,

Ejaaz: way better. I mean, the meme you're showing on the screen isn't the accurate Ejaaz: representation of what this thing is going to do. Ejaaz: We had the head of Bethesda Games make a partnership with NVIDIA just for this tool. Ejaaz: It's going to save him and his team hours and hours of work.

Ejaaz: And I saw someone make a really good point online yesterday, which says, Ejaaz: If you're a gaming developer that's spending years designing AAA games, Ejaaz: this not only saves you a bunch of time, but it also helps you realize your artistic vision. Ejaaz: Usually when you're a game developer, you make sacrifices when you are designing Ejaaz: a particular character or an asset because you don't have enough money, Ejaaz: compute, all the tools to be able to do this.

Ejaaz: This should just be seen as another tool to get to your actual vision. Ejaaz: So I think it's a good reason. Ejaaz: But there's another reason why this is super cool and everyone missed it, in my opinion.

Ejaaz: This is the exact same technology that you can Ejaaz: use to create visual learning for robotics Ejaaz: and for automotive sorry autonomous driving Ejaaz: cars so this is the same technology that nvidia is using to build out their Ejaaz: partner program with i think it was byd and a bunch of other car companies which Ejaaz: we'll talk about in a second as well as being used in their robotics division Ejaaz: with their group robotics models this is the same tech so i actually think it's

Ejaaz: cool that it's so pervasive and it's entering gaming, but that's not really Ejaaz: the big story for me here. Ejaaz: Whether you hate it or you like it, you're not gonna be able to use this thing Ejaaz: for the mass audience until probably next year. Ejaaz: This thing runs on like two RTX 5090s, which are very expensive. Ejaaz: It's not very accessible to the average day-to-day person. Ejaaz: So by the time it gets released to the mass audience, I think it's gonna be

Ejaaz: a lot better than what we see today. Josh: So that's the headliner. If you are not paying attention to the headliner, Josh: there is a lot of other stuff that was announced that is far more interesting Josh: than this. And we have a lot to unpack, so buckle up. Josh: Starting with the Vera Rubin platform, which is the big headliner.

Josh: I mean, this is the big boy. This is what was teased previously six months ago, Josh: I think, when Jensen was announcing his like $500 billion in revenue. Josh: Now he's up to a trillion. Josh: He was unveiling a little bit more information about the chip. Josh: Ejaz, what's new with Vera Rubin? Ejaaz: Yeah, so the headline metric is it's 35 times more performant than the previous generation.

Ejaaz: For anyone who's been tracking, Typically, a new NVIDIA GPU gets you about a Ejaaz: 2 to 5x performance upgrade on a good day. Ejaaz: This is the largest jump overall. And the secret is there are about five to Ejaaz: seven major components of a GPU. Ejaaz: Typically, when you improve for the next generation of GPUs, Ejaaz: you just refactor one of those things. Ejaaz: Why? Because if you did all of them at once, that's really high risk.

Ejaaz: Anything could go wrong and it results in delays of improving your GPUs. Ejaaz: Jensen said, forget, I'm just going to do it anyway. And he pulled it off. Ejaaz: Seven new chips make up this entire new thing and it gets implemented into five Ejaaz: new racks, creating what he calls on stage an AI supercomputer. Ejaaz: And that's why you get this massive performance increase. It's just insane. Josh: These chips are what's running all the AI that we use every single day.

Josh: Previously, everyone was training on Hopper. Josh: Hopper was the chips that are running a lot of the AI models that you're actually using today. Josh: The Frontier Labs have just started to spin up the Blackwell models. Josh: That's what we've seen with Opus 4.6, what we've seen with GPT 5.4.

Josh: That's the Blackwell chip. It takes a long time from these chips to Josh: be invented to actually roll down to data centers and then train the models what Josh: we're seeing next and we're not going to actually feel the effects Josh: of this until probably early next year is vera rubin and vera rubin i mean it's Josh: a 10 times performance improvement versus blackwell just in terms of performance Josh: per watt so for every gigawatt of energy that these data centers have this new

Josh: chip is equivalent to 10 gigawatts worth of compute today, Josh: So for every gigawatt, you get a 10x improvement on intelligence. And that is huge. Josh: It is an absolutely massive growth because we're planning to scale the gigawatts Josh: of these data factories pretty significantly by the end of the year. Josh: Six to seven gigawatts for some of these. That's going to be equivalent to 60 Josh: to 70 gigawatts of intelligence as of today.

Josh: And I think that's pretty important to note is that there is a strong delay Josh: when it comes to these chips actually being released, actually being implemented Josh: on the racks, trained and deployed. Josh: It's hard to imagine we don't get AGI from this. Yeah.

Ejaaz: The other major improvement that they made was a few, I think it was about a Ejaaz: month and a half ago, NVIDIA acquired, and I do this like this because apparently Ejaaz: it wasn't a formal acquisition, a company called Grok, spelled G-R-O-Q. Ejaaz: And the reason why they acquired them is they get the rights to a very special Ejaaz: type of AI chip called an LPU, which uses something called SRAM, Ejaaz: static random access memory.

Ejaaz: Now, if you've been keeping up to tabs with the memory walls that are happening Ejaaz: right now, memory prices have skyrocketed. Ejaaz: In fact, it's probably going to affect a bunch of major companies releasing Ejaaz: their own technology devices because the cost of memory is so high, Ejaaz: so they can't even give it to their customers because otherwise they'll need Ejaaz: to charge extortion of prices.

Ejaaz: Jensen made a really smart move by acquiring this company and integrating their Ejaaz: technology into Vera Rubin. Ejaaz: And so what you're seeing on the screen now is basically the same architecture Ejaaz: of Vera Rubin, but integrated with this SRAM technology. Ejaaz: And the resulting effects is you can inference AI models at a much larger scale. Ejaaz: So that 10x that you just mentioned, Josh, Ejaaz: partially, a bunch of that is unlocked by these new LPUs.

Ejaaz: So we're now starting to see Jensen take two things more seriously. Ejaaz: One, a different type of chip architecture. Usually, NVIDIA is known for generalized Ejaaz: GPUs, and that's where their bread and butter is. Ejaaz: Now we see him branching off into these hyperspecific inference chips because Ejaaz: he looks over his shoulder and he sees, not close, but kind of far back, Ejaaz: Google's TPUs looming, AMD's chips, and Intel's CPUs and chips coming up behind them as well.

Ejaaz: And they're all specializing in inference-specific chips. And the argument or Ejaaz: the reason behind that is a lot of the world isn't going to be focused on training Ejaaz: AI models. It's going to be prompting and querying AI models. Ejaaz: And that's going to grow exponentially more. Ejaaz: So this is NVIDIA and Jensen basically saying, we're going to make a mark here. Ejaaz: This is our stand. This is why we acquired Grok.

Ejaaz: And here's the chip that we're doing. And VeroRubin is going to be that chip Ejaaz: for anything and everything, general purpose and inference.

Josh: When I think about these chips and just project it out to the future it's Josh: so exciting because there's such a Josh: clear path to going to where i think every ai lab Josh: wants to go yes getting to that agi level and beyond and Josh: this chart that we're showing on screen here is a beautiful example of this Josh: because in addition to blackwell in addition to rubin they also teased fineman Josh: already even though rubin is months to years away from actually being deployed

Josh: at scale so nvidia is essentially 18 months give or take a few ahead of what Josh: the current reality looks like. And I think this is really important to note. Josh: Is currently with the bleeding edge of AI, we're running Blackwell right now. Josh: And we just started running Blackwell. Josh: And Blackwell has about 12 months of improvements to be made before we start Josh: to feel the effects of Rubin.

Josh: By the time we feel the effects of Rubin, which is that 10x performance per Josh: watt improvement, they already have Feynman ready to go and to be deployed into these data centers. Josh: And already we have two incremental steps, two exponential steps ahead of where we currently sit.

Josh: And it's hard to imagine that with the build-out that's happening, Josh: with the performance per watt increase that we're seeing from all these chipsets, Josh: that we're not just going to have Josh: this completely vertical and exponential growth of AI across the board. Josh: And I think that's probably at the core of Jensen's thesis of a trillion dollars Josh: is like the spending isn't going to stop because he's already created the future.

Josh: It's just a matter of actually deploying it and plugging it into the grid so Josh: you could power these chips and get the intelligence that everyone wants. And it's unbelievable.

Josh: So Feynman is coming. They didn't announce a bunch of things about Feynman, Josh: but that's the name of the next chip architecture. Josh: Named after your favorite mathematicians favorite mathematician richard feinman Josh: everyone's a big fan of him very cool very excited.

Ejaaz: His book or something i Josh: Did yep i'm surely joking mr feinman he has a few books that are all awesome Josh: so if you're into physics or math or just really admire great teachers richard Josh: feinman is amazing and is now the naming architecture for the future of nvidia's Josh: ai chips so pretty cool stuff bold. Ejaaz: Name big ambitions um nvidia currently sits at, what, $4.5 trillion?

Ejaaz: Biggest, most valuable company in the world. Odds that it's the same by the end of the year? Josh: Is this going to be prolonged? Well, we can ask our friends at Polymarket to Josh: answer this for us. And it looks like there has been a strong trend signaling yes. Josh: And this was not always the case. I mean, it looks like Alphabet, Josh: Google, was at one point during the year, February, just a month ago, Josh: was projected to flip them.

Josh: People thought Google was going to be the world leader. it is Josh: clear now that is absolutely not the case in fact Josh: apple who we frequently talk about looks like they have a better chance Josh: of doing it than google now and now nvidia is up to 70 so it Josh: seems highly probable that people saw this presentation people have been seeing Josh: progress and they are very much bullish on nvidia so the market is pricing in

Josh: a pretty steep increase to the stock price before the end of the month i mean Josh: it's currently trading at 182 and it looks like there's what 25 30 it's about Josh: a 30 chance that it trades over 200 this month so it looks like, Josh: Things are looking good for NVIDIA for being the most valuable company in the Josh: world and also continuing to trade up on this news. It was an incredible presentation. Josh: Thank you to Polymarket for sponsoring this segment of the episode.

Josh: And now we could probably get into the next most interesting thing for me, Josh: at least, which was the full self-driving moment.

Josh: In fact, Jensen Huang said, this is the chat GPT moment for self-driving cars. It has arrived. Josh: This is a bold take because the full self-driving industry is pretty, Josh: pretty vicious. Hasn't it been. Ejaaz: Solved by tesla already at this Josh: Point well it depends who you ask it sounds like internally Josh: they feel confident in the fact they've solved it but they're currently solving

Josh: this march of nines where they have efficacy up to 99.x percent Josh: and they need to get it to 9999 now waymo clearly has the most deployed version Josh: of this you could actually go and you could get into a waymo you can get into Josh: a cyber cab in some places in austin but they still have the kind of guiding Josh: drivers they haven't figured out the legislation to let them be fully autonomous Josh: but jensen is saying hey if you're not Waymo,

Josh: if you're not Tesla, we have a solution for you. Josh: We are actually going to build the full self-driving stack and integrate it Josh: directly into your cars for you from the sensors all the way to the software stack. Josh: And they just recently partnered with BYD, Nissan, Hyundai, and Gili. Josh: And for those who aren't aware, BYD is actually the largest electric car manufacturer Josh: in the world, more so than Tesla.

Josh: They're based in China and it's showing that NVIDIA is not really country. Josh: They're kind of country agnostic, right? Like they're just going to, Josh: if you want a self-driving car, come to us. We got you. Ejaaz: NVIDIA or Jensen just doesn't care if he aligns with China or not. Ejaaz: He's just like out there to expand NVIDIA into anyone and everyone's hands. Ejaaz: As you said, BYD is the biggest EV maker. They sell more cars than Tesla every single year.

Ejaaz: And so that distribution, like think about that. Like imagine you put your self-driving Ejaaz: model into as many cars as possible. Ejaaz: It's probably going to get smarter way, way quicker because it's just inside Ejaaz: more So that's real competition against Tesla from a competitive mode. Ejaaz: The other thing is he's also integrating into Uber as well, right? Ejaaz: So it's going to be launching in 28 cities by 2028.

Ejaaz: So through the end of next year, which seems like a long time, Ejaaz: but that's a lot of cities. Ejaaz: And Uber has a lot of reach when it comes to just a driving network in general. Ejaaz: So this is a really cool announcement. I don't quite know if it's apples to Ejaaz: apples with Tesla full self-driving. Ejaaz: They own the end-to-end stack there. NVIDIA doesn't really have that. Ejaaz: This is more of a thing that you can kind of attach onto cars.

Ejaaz: And if I had to guess, this is not just me being an Elon fanboy. Ejaaz: There's a lot more friction that NVIDIA will run into. So I don't think this Ejaaz: is a direct one-to-one competitor. Josh: This is a key difference. If I'm a Tesla shareholder, I'm not really nervous Josh: about this because like you said, Tesla owns the full manufacturing stack and Josh: they have millions of cars on the road that are full self-driving capable today.

Josh: They're just one software update away from cracking that. When that Josh: final software update comes when the legislation passes that is Josh: to be determined but they're there they're ready waymo and Josh: i guess uber now are kind of on the other side of this where they they've kind Josh: of perhaps figured out the software stack they're close at least but Josh: they they have nowhere near figured out the manufacturing stack

Josh: for this at scale and manufacturing as we know designing hard Josh: things in the physical world is hard and that's going Josh: to slow these companies down a lot so i think for uber this is probably Josh: the best case scenario they finally have a saving grace someone Josh: who wants to actually work with them to help deploy the full self-driving vision Josh: um but they got a long way to go so it's nice that they're trying this is kind

Josh: of like apple car play but for full self-driving where they're not going to Josh: make the cars they're going to sell you the software to put in the cars and Josh: hopefully one day make them full self-driving so we'll see how that goes that Josh: was the first of the robotics section of this episode let me. Ejaaz: Let me introduce you to the unhinged uh version of this josh Ejaaz: So Olaf, made popular in the fictional movie Frozen, came to life on stage.

Ejaaz: What you're looking at is an autonomous, Ejaaz: self-directed robot that runs on NVIDIA. I'm not making this up. Ejaaz: That runs on NVIDIA's Newton robotics engine. Ejaaz: It also runs on their Jetson chip as well. So what you're looking at is a homegrown Ejaaz: NVIDIA robot and product that is autonomously interacting with Jensen. Ejaaz: I can't help but think that some of this must be scripted. there's no way that Ejaaz: the robot is this interactive.

Ejaaz: And obviously, it's like been outfitted with the look of this Frozen character, Ejaaz: but pretty cool all around. Ejaaz: I don't know if this is going to be in everyone's home. I like I don't know Ejaaz: what the point of this was. Like, maybe they're going to sell rights to Disney or something. Ejaaz: But yeah, like, I don't really have a strong take on this. Josh: Yeah, well, it's just I mean, it's more of the direction that they're heading

Josh: towards, which is real world physical AI, right? It's like we're in self driving Josh: cars. Now we're going to get robots.

Josh: They're creating these small packaged computers to Josh: put into these things are creating the entire stack nvidia is Josh: becoming the tesla for the general purpose company Josh: it's like if you can't build it all yourself nvidia has done Josh: it and they will sell you all their hardware they'll sell you all their software Josh: they're moving a lot into open source and i guess that's probably the transition

Josh: to the next announcement which is their nemo claw announcement the open claw Josh: competitor which isn't an open claw competitor at all actually it's just a basically Josh: enterprise solution for companies that want to use OpenClaw. Josh: So the founder of OpenClaw, he was there. Josh: Jensen gave him a nice shout-out. And basically, NemoClaw is... Josh: A way for companies to deploy OpenClaw in a more secure way and to run on any Josh: coding agent and deploy from anywhere.

Josh: And I think a lot of people, I mean, ourselves included, thought this could Josh: be competition. The reality is it's complementary. Josh: NVIDIA wants open source AI because they want to build the hardware that you Josh: use to run the open source AI.

Josh: And it seems like this was kind of like a win for everyone, including the open Josh: source community. It's pretty cool. Ejaaz: Yeah. I mean, Pete Stuy, as you mentioned, the founder of OpenClaw, Ejaaz: actually worked with Jensen and the NVIDIA team for months to build this out. Ejaaz: Their target market are enterprise customers specifically because when OpenCore Ejaaz: went viral, it went viral because everyone could spin up their own personal agent.

Ejaaz: There was one glaring issue, loads of security issues. So people could lose Ejaaz: money, expose their credit card details or lose all their personal data or have Ejaaz: people hack their computers. Ejaaz: Not good if you are an enterprise company, but companies still want to get access to this thing.

Ejaaz: So Jensen kind of dreamt up this platform that sits on top of open call so it Ejaaz: works very synonymously with it and now you can kind of use open call without Ejaaz: any worry you can spin up an agent that does a particular enterprise workflow Ejaaz: or you can use it for accounting back office stuff whatever you can dream of Ejaaz: it's now safe to use and it's open source which is great yeah Josh: Okay so two more things we have two more quick announcements one ai and space

Josh: space gpus we're doing the damn thing it's happening, Josh: So Jensen got on stage. He said, we are going to build Verirubin for space. Josh: You're going to have Verirubin orbiting the Earth. It's going to be in these Josh: data centers. It's going to be fantastic. Josh: And then he says, well, we're not quite sure how we're going to do it, but we're going to do it.

Josh: They still have a lot of issues that they need to solve, one of which is the Josh: cooling, one of which is solving the radiation. Josh: There are a series of issues that are going to need to be solved, Josh: but there is the intention to do this. Josh: And I suspect he didn't announce it here, but I suspect they're working with Josh: SpaceX to design these chips hand to hand because that's really the only company Josh: that's going to be getting these things up in space.

Josh: And I think it's really exciting when we think about AI data centers in space Josh: and the quality of the Vera Rubin chip architecture, bringing those two things Josh: together and getting them in orbit by 2027, 2028, maybe the latest, Josh: that's going to be pretty cool. That's going to change the game. Josh: Elon is incredibly bullish on this. He thinks that SpaceX is now going to flip Josh: every company in the world when it comes to AI development.

Josh: And he might not be wrong because if he can get these chips at scale from Jensen, Josh: send them up into orbit, lower the cost per watt to be, I mean, Josh: a marginal of a small fraction of what it is today. It's a huge upgrade. Ejaaz: I feel like this was just a custom announcement for Elon Musk for one individual. Ejaaz: He's the only guy that's really trying to launch GPUs into space at scale.

Ejaaz: Like in this demo, he's demoing it using one of NVIDIA's investment portfolio Ejaaz: companies, StarCloud, which are kind of the initial startup that made GPUs in space a trend, a thing.

Ejaaz: But then elon jumped on the wave and like completely took it over and he's the Ejaaz: guy that's actually going to be economically able to launch these at scale um Ejaaz: so it's it's it's a good day to be a tesla or spacex uh share owner equity owner Josh: And the final announcement that we're going to talk about is the dgx spark they Josh: released the new spark and it's now looking like it's going to be priced around

Josh: forty seven hundred dollars which seems high but if you are someone who runs Josh: local inference at your home and you're considering buying a Mac Studio or something Josh: to run these tokens on your own. Josh: Perhaps you have an OpenClaw instance you want to run local AI. Josh: This is a pretty compelling option. They're basically taking a GB300, Josh: which is the Grace Blackwell chip, and they're turning it into a tiny little Josh: thing that fits on your desk.

Josh: That's 750 gigabytes of coherent memory and 20 petaflops of AI compute, Josh: which allows you to run models up to a trillion parameters right from your desk. Josh: So it's an unbelievably dense machine. Josh: In fact, if this was released probably even five years ago, this probably would Josh: have been the most powerful supercomputer in the world. Josh: And now it's compressed down to something that fits on your desk.

Josh: So it's just, it's a testament to how much efficiency improvements have been Josh: made every single year and how powerful the NVIDIA brand is, Josh: man. There's no one else building stuff like this. Josh: No one's even close. Looking at this holistically, this is a home run for NVIDIA, Josh: for shareholders, for investors, for the AI industry. Josh: Everyone wins because NVIDIA is just running full tilts. Ejaaz: It's funny, you said that back in the day, you would, this would be so much

Ejaaz: more expensive. So you would also need like a dedicated like server room to fit this entire thing. Ejaaz: And now you can just sit it on your desk next to your laptop and have, Ejaaz: in Jensen's words, an AI supercomputer in your house. Ejaaz: Super cool. It comes shipped with NemoClaw as well. Ejaaz: So you get two products, two NVIDIA GTC 2026 announcements for the price of one. Ejaaz: And you said it was $4,700, Josh?

Josh: That's super cheap. That's what it's looking like on their website right now. Ejaaz: I think that's for the Spark. I think that's for the Spark.

Josh: That is for the Spark.

Ejaaz: That's for the Spark, yeah. And then they had a separate announcement i think Ejaaz: on the dgx station which is like more the more powerful supercomputer which Ejaaz: also consequently sits on your desk as well so just two different price points Ejaaz: but two very powerful things um yeah just a home run for nvidia yeah Josh: What a great presentation that is everything those the highlights i would love Josh: for you to share which part you are most excited about is it DLSS 5 how many

Josh: gamers are here that actually care. Ejaaz: About do you hate it Josh: Tell me. Because I don't. I think it's cool. I mean, I could understand why Josh: the artists maybe don't like their art being, you know, digitally enhanced. Josh: But I have good news. You could just turn it off. Josh: Like you could just play the vanilla game too. That's also cool. Josh: So I'd love to know what people are most excited about here. Josh: I think for me, space data centers,

Josh: man, that's my favorite thing in the world. I want to see AI in space. Ejaaz: It's got to be the DLSS 5, but used for robotics. Ejaaz: Like, okay, I'm like nerding out over robotics right now, because I think they're Ejaaz: going to have their chat GBT from 2022 moment at any point this year. Ejaaz: They're getting good enough to move around, run, lift heavy items.

Ejaaz: We just need a good model. And I think having something like DLSS, Ejaaz: that's this code name is, so DLSS 5, kind of like expand robotics models is really exciting for me. Josh: So yeah. And one thing's for sure, the naming of all of these is going to continue Josh: to be absolutely horrific. Ejaaz: Yeah, please come up with easier names. Josh: Oh my god. But yeah, that's a wrap. Thank you so much for watching this recap Josh: on NVIDIA's GTC. I hope you enjoyed it.

Josh: We pursued through two hours of pretty boring presentation to bring this to Josh: you. So hopefully it was a little more interesting, a little more exciting. Josh: Very technical. Jensen's a technical guy. I hope you enjoyed Ejaz's leather Josh: jacket that he's rocking today in honor of Jensen and NVIDIA, Josh: who donned a leather jacket on stage. Ejaaz: I know you are. I hope you appreciate it. Josh: But yeah, as always, please don't forget to share with your friends.

Josh: Like the video subscribe leave a comment rate us five stars all the great things Josh: thank you so much for watching and yeah we'll see you guys in the next episode.