Limitless: An AI Podcast

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.