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Huge congratulations to Pawan, Jacob,
the teams at Microsoft and Nvidia. Um, I

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will say they were kind enough to send
me a Surface Laptop Ultra for the last

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few days. It is amazing that I won the

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workstation for Christmas. Now, now

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there's a bunch of stuff about the

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exciting future to get into. But before

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we do that, I was looking both of you up

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last night on YouTube and it's quite

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rare to see both of these gentlemen on

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stage together. And I was thinking about

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how, you know, you both had a history.

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These two great companies had
a history going back decades. You both

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individually had a history of working
with each other going back decades. Ties

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to me. My first job was at Microsoft. My

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first paycheck a GeForce FX to play

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Halfife 2. So, so maybe to start us off

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in Jensen, what is your favorite memory

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uh or fun memory of working with Satia

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and Microsoft? Well, uh, Nvidia was

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founded because of Windows. It was 1992,

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late '92, uh, Windows 3.1. And we were

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just started to see the the vision
of what a what a personal computer really

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can be. And at the time, frankly, we had

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never I'd never even seen a PC before.
I largely worked on workstations. We had,

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you know, we had uh file servers
and supercomputers that we used to design

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chips with. and and the founders and I,

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you know, talked about this future where

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maybe uh a personal computer with 3D

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graphics would enable it to do things

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like games and and be a workstation and

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design things. And so we we imagine
about this world. If not for Windows, uh

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Nvidia wouldn't have been founded. And

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then and of course

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and of course we we started in 1993. Um

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uh Windows 95 really made reinvented

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Windows 95. >> Wow.

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>> Am I on

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>> Windows Windows 95

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uh made possible the GPU to be connected

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to uh uh a personal computer. And what

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revolutionized the GPU was DirectX.

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Direct 3D uh was the API that really uh

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enabled us to re uh reveal the

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capabilities of GPUs into applications.

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But then DX8 came along and we

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co-invented with Microsoft the world's

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first G programmable GPU which is

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programmable shaders which a few steps

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later evolved into uh CUDA as we know

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it. And so if you look at the entire

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journey of our company, Windows was at
the core of it. And if not for Windows,

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there would be no GeForce. If no GeForce,
CUDA wouldn't have come to the

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world. Uh without CUDA, Alex Kushki and

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Ilia Suskver, um Yan Lun, you know, uh

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Andrew Angone of them would have uh

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found a computer uh to do deep learning.

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>> And here we are. >> Is now
going to do a little transfer of

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market cap back to me. >> [laughter]

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>> I do that every day.
I do that every day.

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>> But it's extraordinary that journey uh

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that Jensen recounted. I mean it's kind

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of the the it's the history of computing

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in some sense. Um, and the thing, one of

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the things, uh, that Jensen sort of

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sparked for me was

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he has been perhaps the most consistent

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with the vision of what accelerated

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computing can be. And this going back to

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the trajectory, you've been the one

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person in our industry who has had this

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one idea whose sort of trajectory has

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been the most expansive quite frankly

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more so than even any single PC form

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factor or chip architecture. Because I

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look back, one of my first memories was

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we were talking about essentially saying

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in the cloud, how big can be accelerated

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computing or high performance computing,

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right? The first deal I remember was in

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Azure, how do we make HPC a bigger

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thing? Um and by the way if we

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>> Satio was the first user of Infiniban

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inside a cloud which brought right
the first supercomputer to open AI which

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boom >> that's right
if we had not done that

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like the fascinating you know like life
is full of accidents but if we had not

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done that for HPC

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we wouldn't have had the supercomputer
to give to open AI to go train a GPT

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model and rest would have been history
I mean it was kind of one of those happen

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stance that we had done the HPC see

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stuff when we were building
an Infinibanbased supercomputer and and

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comes Sam and says hey do you have

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computing and we said yeah maybe and and

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so it's sort of like but the thing that

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I really give Jensen all the credit

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quite frankly is that consistency of

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vision of what this can be not today not

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tomorrow but as a secular trend and

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that's kind of what you know
brings us even to this moment

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>> and then it led to a conversation.
It led to a conversation I remember quite

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well where Satia and I were talking

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about so so what does this mean to the

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PC? How do we make uh the the perfect PC

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in the post era of all of this stuff and

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you know of course the personal computer
is the ultimate tool. It's my ultimate

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tool and for a whole generation of

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people it's our ultimate tool. Um, what

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happens in the era of agents uh when

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when when the agent is on your computer,

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it is now your personal assistant,
but it wants to have access to all of the

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amazing tools that we have, but the

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amazing tools are spread out in the

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Nvidia ecosystem into uh gaming PCs.

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>> Yeah. >> Into workstations.
And that's where most

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of the tools were, right? all the all

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the all the do tools and all the

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seammen's tools and uh autodesk and

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adobe and you saw many of them just now
and you know we want the world's best

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blender the world's best unreal the
world's best omniverse the world's best

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kia everything all sitting on the same PC

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>> um as the AI >> and so how do we go
create that by the way took four years

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>> wow [laughter] >> that was a four
year ago conversation and just incredible

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>> now that's very good segue today and
Satia so I think the last few months you

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know we've been sort of inundated with
these stories of agents in security you

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know we all use agents I'm sure

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everybody here is using amuse or uh

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instinct and you are giving full disk

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access and you're having it act as you

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and today when you guys showed MXC it

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seemed to me like a fundamental new
operating system primitive for agents

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which is a break from where we have been

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so maybe talk to us about why the OS

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is the right place for this and what

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this primitive if you will opens up.

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>> Yeah. No, first
of all remember this all

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started with coding agents all running

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on the desktop. I mean in fact if you

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sort of look at uh where is the agent

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that needs this security primitive the

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most. It's the local harness and its

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access to the file system and to be
able to take action. And so that's why in

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fact you know working with Jensen and

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team we said look how do we wire you

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know wire this in into the primitives

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whether it's in the cloud or in uh uh in

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the operating system locally and given

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the fact that essentially coding went

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there first where the harness is local

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even if you were using a cloud model we

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needed to make the desktop uh the most

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secure place for agents to execute and

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so that's where MXC comes from it's

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fantastic FIC to see open shell now
fully integrated and native with MXC the

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controls that Pin talked about right
which is containment itself has to be

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done at every level right it's not about
sort of doing one thing and leaving the

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other right it has to be at the microVM
it has to be at the WM it has to be at

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the session the piece that I'm most
excited about is the Windows session

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having containment right it's so
so critical then okay containment is

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wonderful but then I need full
observability how do you get

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observability you get it If you have an
identity for an agent that I can track I

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can then see the entire exhaust of the

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agent right all of it uh and then I can

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govern it that means I can like classic

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set policy and have it govern that is

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now what's going to give peace of mind

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whether it's to IT ops to sec ops uh and

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by the way and the other thing that we
should also not forget is the ability to

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track the token spend right and where
it's happening and so that's the

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entirety of what we have tried to bring
together. It's not about any one thing.

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It's about stitching all these things.

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Having seen all these adoption cycles,
whether it's the consumer adoption

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cycle, the enterprise adoption cycle, I

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would say [clears throat] the thing that

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blocks broad diffusion is not having

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that complete thought on what is required.
Right? So if you do one and

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leave the other, there's no trust and
what have you. So I feel very very good

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that we have brought it together in the

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cloud in the in the client across it

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sack and fin and it's heterogeneous
right it's not about any one piece of

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Microsoft technology it's
about supporting it all

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>> what Satia just said what Satia just

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said uh is going to be the foundation of

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the next generation of it as we know it
yeah if you go the words he used what he

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described the architecture deeply
profound for the next generation of

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computers just as Windows Windows and

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and DirectX revolutionized how

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applications were built. MXC

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is going to revolutionize how agents are

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built and deployed >> without it

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started without it complete non-starter
and so this big big deal now this is I

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think closely tied to the next piece
um for both of you which is hybrid

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intelligence now this feels a little

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different I think everybody here has

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uses large model in the cloud you use it

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it runs a tool maybe using blender
and you get back a response we're all used

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to that's the In a few years,
this feels different

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where you have a choice of models, some
running locally, some in the cloud, and

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you're going back and forth. And one
sentence from the presenter who spoke at

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GitHub, which actually stood out to me
was you're getting these tokens for

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free, right? And so maybe talk to us

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about what this opens up because this
feels again something new where you are

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running part of the workload here in the
locally on your on your laptop, part of

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it in the cloud and intelligently routing
between it. What does this open up?

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>> Yeah. for first of all, you know, I

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think this is one of those moments where

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um some of the things that you've been

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using all click together, right? In

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fact, it's kind of I was thinking about

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this in the late 80s when I was in grad

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school, I kind of had a a a terminal,

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right? My VT0000 and a VAX. Um and um

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and then I had a PC at home. >> Mhm.

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>> Um and I kind of was using it all. In

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fact, it's interesting that on my PC, I

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had um essentially a modem with a

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terminal connecting to my wax and then I

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had all my local DOSs and uh you know

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early Windows and what have you and then

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suddenly it took all and by the way I

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had Usenet all of that stuff but except

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it took all the way maybe until 95 and

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even Mosaic right the first browser to

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bring it all together as one seamless

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experience right it's not about local

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cloud, what have you. I just want to use

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my computing power wherever it is in

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sort of a seamless flow of what I'm

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trying to get done. So when I was seeing
even what Danielle was showing that demo

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is mind-blowing. I mean think about that
moment. I think we're going to come back

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years from now and say, "Oh my god, that

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was when we saw

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>> what he did was he went to Comfy UI. He

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brought down a bunch of models, built a

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bunch of assets, took it to Blender, uh

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used that to even enhance those assets,

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then used again brought it back to Comfy.
Oh, went to Photoshop, used a

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local model perhaps to sort of enhance

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it, took it back to Comfy UI, then took

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it all to the cloud with Astra, with

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Unreal, but he just used apps on his

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desktop, models, local, models in the

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cloud. It all just work. That is what

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this is about. Like that's kind of where
today was about multiple fantastic

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devices, all these things. But the

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trajectory for me is so clear. There
will never be a moment where we will go

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and look and say, "Oh, this runs

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locally, this runs in the cloud." You

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will expect this hybrid intelligence to

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be everywhere and pervasive. And I
think that that's what to me is pretty

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exciting. Yeah, that one application
what you just said Blender was

250
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accelerated, Comfy UI was accelerated,

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Astro was in the cloud, the agents
were locally. I mean, it's just the the

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surface area surface area. That's cool.

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The surface area
of computing was magnificent.

254
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>> Yeah, >> it is comp.
It it brought together

255
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literally the entire might of lit
every single technology company in human

256
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history came together
for that one application.

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>> That's right. And and by the way going
back to sort of the way you talk about

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accelerated computer that was I mean his

259
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point about why he was excited what took

260
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him multiple days takes him hours like

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that the fact that he was accelerated
in his ambition and that to me is pretty

262
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cool >> which I think
you know this ties closely

263
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to something else because these models
have gotten very good at tool use but

264
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the tools often live locally. you know
the files live locally by the way you

265
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know Jacob and I are still both of us

266
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are filing taxes at the last minute

267
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apparently um and and I think there is a

268
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aspect here about

269
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>> I want my data to be
secure and safe and

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controlled I want the tool use to happen

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near where the data is where if you look
at what Jacob showed with co-pilot like

272
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that it really opens up something new >>
yeah I mean to me like one of the things

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right if you look at it in fact one
of the when the coding agents became the

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thing. I was excited to see everybody
who's in love with, you know, one the

275
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console uh and everybody was love with

276
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file systems. Again, it just shows
how powerful of an abstraction of file

277
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system is. >> I think
agents are going to be the

278
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largest users of file system.
They need to be secure.

279
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>> They need to be because they're a

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heterogeneous collection space. Uh and

281
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what his tax example, Jacob SP, was a

282
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great one, right? Basically what it did

283
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was it organized from as he said from

284
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downloads from even cloud files, email

285
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everything into a file system container

286
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and then used models locally and in the

287
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cloud to go do stuff with it and that is

288
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the new computer right so it's a I use

289
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the computer my agents use the computer

290
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the agents need these primitives as well
and so I think like one drive when was

291
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the last time I thought of one drive as

292
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a cloud thing or a client thing It's

293
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there everywhere. And so to me, that is

294
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what I think we're beginning to see is,

295
00:15:43,200 --> 00:15:46,077
hey, I want my primitives for my agents

296
00:15:46,160 --> 00:15:49,917
to use 24 by7. The form factor when I'm

297
00:15:50,000 --> 00:15:54,957
using it on my PC should feel like I'm
using it on my PC. When I'm roaming, it

298
00:15:55,040 --> 00:15:58,477
should roam with me. >> You know
what's amazing, as you know, is

299
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is that these agents are going to be
better users of tools than us. Yes. And

300
00:16:02,320 --> 00:16:07,677
the reason for that is just we know 10
15% of the features of any application,

301
00:16:07,760 --> 00:16:09,437
but the agent knows every single feature.

302
00:16:09,520 --> 00:16:11,997
>> That's right. >> And so
so the the the fact that the

303
00:16:12,080 --> 00:16:15,117
tools, these incredible tools are
sitting on your PC, they're they're

304
00:16:15,200 --> 00:16:17,197
accelerated in in this incredible

305
00:16:17,280 --> 00:16:22,317
computer Surface Ultra. Uh now the agent
has access to all of that capability.

306
00:16:22,400 --> 00:16:25,037
Who knows what we're going to be able to
do? I mean, just look at what it did. It

307
00:16:25,120 --> 00:16:29,997
was the Blender, the Unreal,
the Comfy AI was incredible.

308
00:16:30,080 --> 00:16:33,837
>> Could show of hands. How many people
here have tried using one of these apps

309
00:16:33,920 --> 00:16:38,237
locally with a model in the last couple
of months or few months? Great. Right.

310
00:16:38,320 --> 00:16:41,517
And so I think this just kind of show
goes to show where you can actually

311
00:16:41,600 --> 00:16:45,437
bring the tool use locally. Now Jensen,
I want to ask you about the hardware

312
00:16:45,520 --> 00:16:47,677
piece of this. Right. We very often see

313
00:16:47,760 --> 00:16:50,957
you talking about these big massive you

314
00:16:51,040 --> 00:16:54,957
know Verra Rubins Blackwells NVL72s

315
00:16:55,040 --> 00:16:56,957
you know these you know intelligence

316
00:16:57,040 --> 00:17:02,077
token factories um you know that's you
know that power data centers here today

317
00:17:02,160 --> 00:17:05,597
we're talking about something different
right like we're talking about the spark

318
00:17:05,680 --> 00:17:09,997
the workstation which I really want
for Christmas you know which runs in your

319
00:17:10,080 --> 00:17:14,477
office talk to me a little bit about
how you see this evolution about tokens

320
00:17:14,560 --> 00:17:18,957
being produced like right next to you
as opposed to you know Ver Rub in data in

321
00:17:19,040 --> 00:17:22,957
the data center. >> Well uh
the number of engineers that

322
00:17:23,040 --> 00:17:25,757
worked on this project is incredible

323
00:17:25,840 --> 00:17:28,957
over 4,000 engineering years. This is a

324
00:17:29,040 --> 00:17:33,277
massive project. I mean look what we've
done. We've reinvented the personal

325
00:17:33,360 --> 00:17:37,117
computer completely. For the first time
we took all the capabilities what used

326
00:17:37,200 --> 00:17:42,317
to be in a gaming PC, in a laptop uh
in a workstation in a supercomput in the

327
00:17:42,400 --> 00:17:44,077
cloud. We unified the architecture and

328
00:17:44,160 --> 00:17:47,197
we made it run on one super chip. This

329
00:17:47,280 --> 00:17:49,437
super chip, you know, it's rectangular

330
00:17:49,520 --> 00:17:51,517
because it's two giant chips fused

331
00:17:51,600 --> 00:17:55,357
together. And so this it's a beast. It

332
00:17:55,440 --> 00:17:57,037
has one pedlops. Just to put in

333
00:17:57,120 --> 00:18:00,397
perspective, the computer that started

334
00:18:00,480 --> 00:18:03,757
the AI revolution called DGX1 was one

335
00:18:03,840 --> 00:18:07,597
pedal >> and it was a
quarter of a it was a

336
00:18:07,680 --> 00:18:10,237
quarter of a billion dollars and um it

337
00:18:10,320 --> 00:18:13,517
weighed 500 lb and now it's in this in

338
00:18:13,600 --> 00:18:17,357
your laptop. Um, but what's what's
amazing is this is also the only

339
00:18:17,440 --> 00:18:19,997
computer, the only computer in the world

340
00:18:20,080 --> 00:18:22,797
that runs DirectX and all of its

341
00:18:22,880 --> 00:18:27,197
applications, OpenGL and every single
version of it because we need all the

342
00:18:27,280 --> 00:18:30,477
tools and design tools, right? Creative
tools. We need everything to run. We

343
00:18:30,560 --> 00:18:34,877
need Unreal to run incredibly well.
So, DirectX has to be amazing and it runs

344
00:18:34,960 --> 00:18:39,197
every single CUDA application incredibly.
what what uh Satia and I

345
00:18:39,280 --> 00:18:42,397
were talking about four years ago is,
you know, we're going to have a whole

346
00:18:42,480 --> 00:18:45,917
new generation of software developers
and these software developers are going

347
00:18:46,000 --> 00:18:49,997
to be AI software developers.
They're either going to be creating AI

348
00:18:50,080 --> 00:18:54,557
applications and AI models or they're
going to be using AI to to develop their

349
00:18:54,640 --> 00:18:58,557
software. And so the computer has to be
revolutionized and has to be really good

350
00:18:58,640 --> 00:19:01,197
at CUDA from the ground up. And so this

351
00:19:01,280 --> 00:19:03,917
is the only computer on the planet that

352
00:19:04,000 --> 00:19:07,197
runs everything natively on the device.

353
00:19:07,280 --> 00:19:11,757
the first time ever. And so it took
thousands of us to do this, but it also

354
00:19:11,840 --> 00:19:16,557
took the entire industry. Look behind us.
Every single laptop maker, every

355
00:19:16,640 --> 00:19:20,237
single do desktop maker, every
single workstation maker joined us.

356
00:19:20,320 --> 00:19:24,637
>> Yeah. Wow. >> Yeah.
>> This is the first time I think first

357
00:19:24,720 --> 00:19:28,237
time I think a new piece of hardware,
new computer architecture have come

358
00:19:28,320 --> 00:19:30,877
together and the entire industry top to

359
00:19:30,960 --> 00:19:35,517
bottom, left to right, everybody's
involved, every single geography. And so

360
00:19:35,600 --> 00:19:38,797
this is a complete reinvention.
We understand the seriousness of the work

361
00:19:38,880 --> 00:19:40,717
that we're doing doing here. We've now

362
00:19:40,800 --> 00:19:43,837
test tested some over

363
00:19:43,920 --> 00:19:46,317
1,200 applications.

364
00:19:46,400 --> 00:19:48,317
>> The most intense applications in the

365
00:19:48,400 --> 00:19:50,877
world. All fully tested, performance

366
00:19:50,960 --> 00:19:53,597
tested, compatibility tested, everything

367
00:19:53,680 --> 00:19:58,397
has been optimized. We're going to keep
on going. The support for this system,

368
00:19:58,480 --> 00:20:01,997
the the amount of software we're going
to bring to it, middleware, algorithms,

369
00:20:02,080 --> 00:20:06,477
I mean, it will never end. This is just
a magnificent thing that when you when

370
00:20:06,560 --> 00:20:10,877
you finally look at it, you look at
this beautiful laptop. Pav stands up here

371
00:20:10,960 --> 00:20:14,397
with this beautiful laptop, you know,
but the number of engineers between our

372
00:20:14,480 --> 00:20:17,597
two companies and all of the companies
around the world that did this

373
00:20:17,680 --> 00:20:20,557
incredible all because we believe that

374
00:20:20,640 --> 00:20:24,637
the personal computer was our tool tool
for people. Now it's going to be tool

375
00:20:24,720 --> 00:20:28,797
for people, but it's also going to be
our personal assistant that uses the tool.

376
00:20:28,880 --> 00:20:32,317
>> Now, one last thing for both of you.
I think if you've been on X for the last

377
00:20:32,400 --> 00:20:36,077
few days, there has been this intense
conversation about I would say personal

378
00:20:36,160 --> 00:20:39,277
agents. We've been talking about
productivity and maybe enterprise agents

379
00:20:39,360 --> 00:20:44,317
here whether it is muse instinct there's
this question about hey when this agent

380
00:20:44,400 --> 00:20:46,157
goes out and makes a purchase is that me

381
00:20:46,240 --> 00:20:49,037
or the agent who is liable for it and if

382
00:20:49,120 --> 00:20:52,237
I'm a service provider how do I react to

383
00:20:52,320 --> 00:20:56,557
this human being no longer showing up
on my website and people are trying to

384
00:20:56,640 --> 00:20:59,597
build standards and as an industry I
think we're trying to figure this out.

385
00:20:59,680 --> 00:21:02,877
So I'm sort of curious if you kind
of had to peer into the crystal ball a bit

386
00:21:02,960 --> 00:21:07,437
where do you see this headed right is it
standards is the industry coallesing

387
00:21:07,520 --> 00:21:10,157
around some new behaviors
where do you see this headed

388
00:21:10,240 --> 00:21:12,557
>> yeah I mean first of all I think
it starts with a little bit of the

389
00:21:12,640 --> 00:21:14,717
conversation we had uh in the early part

390
00:21:14,800 --> 00:21:18,797
which is trust um and trust starts with

391
00:21:18,880 --> 00:21:20,637
things like hey are these agents

392
00:21:20,720 --> 00:21:23,357
contained do they have identity is the

393
00:21:23,440 --> 00:21:26,157
exhaust uh of the agent with the

394
00:21:26,240 --> 00:21:28,557
identity separate from the user right

395
00:21:28,640 --> 00:21:31,357
which is one Pawan's thing was how do we

396
00:21:31,440 --> 00:21:33,837
make sure the agent ID that's even

397
00:21:33,920 --> 00:21:36,797
working on behalf is separate from the

398
00:21:36,880 --> 00:21:39,437
user and you need it even for everyday

399
00:21:39,520 --> 00:21:42,077
uh usage but you also need it for what I

400
00:21:42,160 --> 00:21:43,997
think you're referencing which is how do

401
00:21:44,080 --> 00:21:46,877
I then trust what do I delegate in fact

402
00:21:46,960 --> 00:21:49,437
if you look at the first decision that

403
00:21:49,520 --> 00:21:53,437
we are making is what is my delegation

404
00:21:53,520 --> 00:21:55,757
um you know authority that I am giving

405
00:21:55,840 --> 00:21:59,277
to the agent uh on my behalf right and

406
00:21:59,360 --> 00:22:02,877
that is a decision that's going to be
based on trust and it'll keep increasing

407
00:22:02,960 --> 00:22:07,997
the more autonomous it is uh you
trust it and go so then I think on the

408
00:22:08,080 --> 00:22:11,997
consumer space this will come down
to even you know I I think of it as

409
00:22:12,080 --> 00:22:16,637
insurance will price this >> insurance
>> because at some level we can all talk

410
00:22:16,720 --> 00:22:20,477
about it's not like oath is hard to do
right I think the protocols are good we

411
00:22:20,560 --> 00:22:23,277
should do them and t but ultimately it's

412
00:22:23,360 --> 00:22:28,237
going to be pricing the the essentially

413
00:22:28,320 --> 00:22:32,157
the agent working on my behalf. Uh, and

414
00:22:32,240 --> 00:22:35,197
how does the marketplace price it?

415
00:22:35,280 --> 00:22:39,357
>> Your question at the at the foundation
of it, MXC is so foundational. Open

416
00:22:39,440 --> 00:22:42,637
Shell, the work that we're doing
together, it's about it's about trust.

417
00:22:42,720 --> 00:22:46,077
It's about containment. It's about
observability, monitoring. If we can't

418
00:22:46,160 --> 00:22:47,437
get that right, that's right. Oh yeah.

419
00:22:47,520 --> 00:22:51,197
>> If we just can't get right. So that's
the first part. We have got to secure

420
00:22:51,280 --> 00:22:54,717
that part of it so that the agents
that are operating on our behalf, doing

421
00:22:54,800 --> 00:22:57,117
things on our behalf, we give it minimum

422
00:22:57,200 --> 00:22:59,517
rights. It has credentials. It is

423
00:22:59,600 --> 00:23:02,157
monitored and trusted. Only then can we

424
00:23:02,240 --> 00:23:07,677
allow these agents to really go off
and do do uh do tasks on our behalf.

425
00:23:07,760 --> 00:23:11,037
>> You know, today's an awful moment.
I remember when open clock came out from

426
00:23:11,120 --> 00:23:15,597
there with the terminal hacking to get
their own um gateway to here where it is

427
00:23:15,680 --> 00:23:19,517
an embedded piece of Windows, you know,
with tokens running accelerated. It's

428
00:23:19,600 --> 00:23:21,997
quite something. >> So much
engineering went engineering

429
00:23:22,080 --> 00:23:23,517
went into that that arrived today.

430
00:23:23,600 --> 00:23:26,957
>> Amazing. And it is a great device.
Let me just tell you that honestly. Well,

431
00:23:27,040 --> 00:23:30,477
Jensen, Satia, thank you so much. It's
a great day. Thank you for having me. And

432
00:23:30,560 --> 00:23:32,317
I'm going to throw it back to Pav

433
00:23:32,400 --> 00:23:35,517
>> and Satia and Microsoft team.

434
00:23:35,600 --> 00:23:39,437
>> We have reinvented
the computer as we know it.

435
00:23:39,520 --> 00:23:43,037
>> Thank you so much, Jensen. Thanks
for the partnership. Really excited today.

436
00:23:43,120 --> 00:23:45,117
And I think as you said like one thing I

437
00:23:45,200 --> 00:23:47,917
if I can end with Jensen just in passing

438
00:23:48,000 --> 00:23:52,317
talked about the vision for this was how
do we I mean Windows has always been

439
00:23:52,400 --> 00:23:54,717
about how do we not leave any piece of

440
00:23:54,800 --> 00:23:58,077
code any piece of framework behind and

441
00:23:58,160 --> 00:24:01,837
bring it all. The fact that he talked
about hey we're going to bring all of

442
00:24:01,920 --> 00:24:04,477
Windows apps all of the the graphics

443
00:24:04,560 --> 00:24:08,397
apps all of CUDA all of OpenGL and now

444
00:24:08,480 --> 00:24:12,877
with the token factory that is what
is mind-blowing. Windows has been with me

445
00:24:12,960 --> 00:24:15,037
for 34 years. Looks like it's going to

446
00:24:15,120 --> 00:24:20,920
be with me for 34 more.
>> There you go. Thank you so much.
