Inside Nvidia GTC DC: AI, Quantum Computing, Robotics, and the Future of Supercomputers

The digital zone

well, hello X, YouTube, LinkedIn,

Twitch, Facebook. And

we're actually streaming this to two YouTube channels at the same

time. The Data Driven channel and I mean sorry, the Frank's World TV

channel and the Impact Quantum YouTube channel. And because this

is kind of a hybrid show, I'm going to post the audio feed for this

on Data Driven and as well as Impact

Quantum, I have with me the most quantum curious person I know,

Candice Gahooly. How's it going, Candace? It's great. I'm really excited to talk

today. I just got all jazzed up by the song. So there you go. That's

why I like that little kind of like early Spice Girls kind of Euro pop

mix, right like that. I actually made that

with AI and that was the prompt like kind of like if you, if you

remember familiar with that era of music. Venga Boys,

the, the tool I use like I'm sorry I can't use that name but I

can substitute like the, the keywords for that. So yeah,

there's actually an extended mix too so. Which I might put on Spotify

one day. I don't know. So yeah. So the big news

and you can tell by my My hat is Nvidia GTC was

this week. I have my, my badge, it's

still going on but the Expo 4 is closed and sadly

I only have an Expo floor pass.

So which, you know, I mean I, I like being on

the Expo floor. I was as someone called, you know, booth

babe, which I suspect is, I think is a compliment.

But you know, I worked a booth

for a lot which was cool because I got to meet a lot of interesting

people, you know, coming to the Red Hat booth and talking about

our solution and product and getting the word out that we're not just a Linux

company. Right. Jensen Huang. And the

keynote, Jensen being the CEO of Nvidia, in case you didn't know,

he and co founder. There's actually a very interesting

book called the Nvidia Way which I highly recommend you

list. I listen to it on Audible. Speaking of which,

Audible is a sponsor of all our shows and if you go to

thedatadrivenbook.com you can get one free book I

recommend it's called the Nvidia Way. I think the guy author's name was Tay Kim.

T, A, E, K, I, M. And you'll get one free book. And

if you decide to get an Audible subscription, which you should, because it's freaking awesome.

I. I live and die by audiobooks mostly because

I'm always. If I'm not traveling for work, I'm driving the

kids around. So it's definitely a safe way to keep

up. I also have wicked cool headphones,

so I can listen to this while I'm walking around and still be involved in

what's going on around me. So, yeah, it was an exciting

week. I think this is the first GTC conference, so I think

it originally stands for Gamers Technology Conference, which really shows kind of

the origin story of Nvidia being primarily a

video card. And what's very interesting

is how that

from. Whoops. There we go. I'm having some equipment

issues, although it is nice to be in the studio because this way,

this way I have full bandwidth and a full screen, so I can have

all the cool bells and whistles and stuff. Yeah, so

I was talking to you, I was texting you, I was messaging you, like, oh,

my God, there's a lot of quantum here, right? So the couple of things really

stood out from, from. From the keynote on day one, and I think really kind

of set the whole tone for it. Obviously, it's in dc, right? So he kind

of talked about the importance of American innovation, the importance of America staying ahead

on AI. He talked about the importance of open source, and he

talked about quantum computing, which I'm like, there you go. I

mean, GTC used to be primarily known as, you

know, the hardware conference. Right now it's about,

you know, AI ecosystems and industrial transformation

and robotics and AI and quantum. Quantum hybrid

computing. I mean, it was. It was. It was cool.

Like, there was something for everyone, right? There was a lot of robots on the

floor. I don't think this one was as kind of crazy manic

as the California one, because as I'm told, the California one,

there's the. You can't walk because it was just so crowded with people. This one

was a little more. I didn't have problems getting places,

although I think some sessions had overflow rooms.

But it was cool. Like, you know, it was nice because it's just that, you

know, it's. It's a relatively short drive for me to go down to

dc, so

it was definitely a lot of fun. You

know, the, the bandwidth situation in the

DC Convention center definitely could have benefited from some of

Nvidia's tech. Well, that's right. Didn't you, you, you,

you, you create a couple shorts, right? I did, I created. So what I ended

up doing, I, I, I, I had a live stream walking,

you know, from. Basically I parked at the Westin and

I walked over to the convention center and I used to work there. Right. So

the Microsoft Office on K Street is like right there. So I kind of know

the area and I kind of. The normal

parking garages I would use back when I worked there were completely full.

So I had to scramble like, oh my God, where am I going to park?

Right. And parking in D.C. is miserable. In fact, the only thing more

miserable than then the parking in D.C. is the

metro in D.C. or for me to Metro in. So

a lot of people like, wait, you drove? And I'm like, yeah, because I can

be, I could be miserable in traffic in my comfort of my own car as

opposed to being miserable like on the train. But

I would choose my car too. I would choose my car. Yeah, you, you and

I, you know, we grew up in New York and like, we did our time

on mass transit. Yeah, I'm done with it. Like,

the only mass transit line I really liked was when I lived in Germany and

then as far as the US Metro north was pretty awesome. Yeah.

Compared to everything else. But like, yeah, Metro north, it's not as good as that.

But I'm also, I also don't live off of

a mark line, which is kind of like the Maryland version of Metro North. Okay.

But, but it was cool. It

was great. So the, the, some of the big announcements. For me, what

really stuck out was kind of the national security angle of it,

right? Yes. And if you look here, I have some pictures that

I took. Like there were sections that were reserved for

congressional staffers. Right. There were a

couple of cases where. Let's see if I can change

up that scene. There we go. Congressional staffers had their

own seats, which I think was very

telling. I think a couple of the panels had elected officials. I think that

senator from Indiana was there. And also Jensen

Wong has kind of figured out kind of the DC kind of

ecosystem pretty well for a tech company.

I mean, he, he basically hit all the right notes. And I've

sat in a lot of these kind of government focused technology conferences. This

was interesting because it was kind of a lot of non government people, a lot

of government people, a lot of armed, a lot of uniformed service walking through.

A lot of people walking through, worked for various departments

of the federal government. And a lot of us were surprised because, you know, they're

all on furlough. So like, what is that? You know, how do you do

that while you're on furlough? And people were like, well, you know, we cannot get

paid and go to the office or not get paid and come here. Right. So

this is way more interesting now. I don't know, I'm not going to

say what, what agency that, that gentleman worked for, but you know,

I thought that was an interesting thing. So there were a lot of feds there.

It was also very interesting from a.

If you haven't watched the keynote, the actual live stream keynote that he gave, it's.

It's very inspiring, right? He kind of puts us in, into perspective.

And the Nvidia creative team really had a good kind of storytelling,

right. Like one of the clip, one of the segments starts from, you know, this

was like, you know, the first video game that shipped that used

an Nvidia accelerator. And then kind of through the years,

like what those video games look like. And also

just a lot of good stuff there. And

they had hardware out on display. If you go here,

this is me on a. Admiring the,

some of the graphics cards. That card there is about, I

think about 300 watts of power on its own.

And the systems that were displayed along next to it all had

like four of them in a row. Right. So these were serious

metal. Right. And I have a lot of YouTube shorts out there and maybe, maybe

I'll show them here. But where I kind of go through all of these things,

there were robots everywhere, Candace. I never seen so many robots

in one place. So,

um, and if you go to Frank's World TV on YouTube, like there's a

lot of shorts I have. So what I ended up doing ultimately was since I

wanted to live stream from the actual convention center, I

couldn't because the band was just miserable. Like you'll see in the live stream, as

soon as I get inside the building, about 50ft inside the building, it just goes

dead. So rather than kind of suffer through that,

I was like, you know what, let me, you know, I'll record some video and

I'll try to upload it. When I tried to do anything kind of like long

form, like horizontally, it took forever to upload. So I'm like, you know what, let

me do just a bunch of shorts. So that's why I got. So whenever I

saw something cool, I capture a couple of like, you know, quick 30 second

minute long video. And this here is

Booze Allen's

platform, I guess, because the robot, everything in green

basically is a bus in robotics. Um, thing.

Everything on top of that is

proprietary thing that Booz Allen big consulting firm here in

the D.C. area, you know, has kind of put on top of

it. So in, in here, which I, I don't know why I'm pointing with my

mouse because you can't see it. But if you look, there's a lidar sensor,

there's a, another thermal

camera. It's a FLIR camera up in the front. The gray thing you see there,

the round thing is the, is the lidar.

And in the back, in that little box right behind

it, the big box in the back is a tactical radio. And

the little thing inside of that tan kind of rectangular

box is a Jetson nano.

Right? So they've taken extra intelligence and put it on top of that.

And there's a lot of, A lot of cool stuff like that. One of the

funniest things to happen is that people are actually cosplaying, walking around

the convention center as Jensen.

Okay. And I got, I gave them. We, you know, at the

booth we had these hats, but we also had red fedoras. So it was giving

that out and we ran. Those were very popular. We ran out of those

within I think the first 45

minutes to an hour. Yeah, that's good swag. That's good swag. We went through

like, like, I think 200 of them. And then we found like an extra 50

on the second day and they were gone in like 10 minutes. So people kept

coming by like, hey, can I get some of that? Can I get one of

those? We're out. And but it's also great

marketing from. Because like, you know, literally the company name

is, you know, the product. Right. So it was pretty cool. And these

guys are funny. I actually did a short video with them and he was

walking around pretending he was Jensen. So the shtick is that the guy on the

right is, you know, they were both his digital

twins. That was basically it. Okay. And they were looking for his third.

So the. What makes us really funny is, is that Jensen is, is as

a, as, as the CEO and co founder of a 5 trillion

dollar company. He's supposedly really down to earth.

I never met him in person, but like, he'll walk around the expo floor

and like introduce himself. And there's always like, he was a few.

He was like, I saw him from about 20ft away and I'm like, please come

here. So we had everything ready, but he didn't. But at

the, at the one in March though, he did come by the red hat Booth.

And he's like, you know, he, he's

like, hey, Red Hat. Like, you know, and one of my team members handed him,

like, we had a scarf and he's like, this is awesome. And he put it

on. He's like, he goes, I remember installing you guys way back in the

day. Like, it was kind of cool. And

so this was pretty funny. But my favorite is the person I met

was. Well, this guy was cool. This

is. He. He lives in Raleigh. This guy. Oops.

And he, he doesn't work for Red Hat, but he does a lot of

videography type stuff. So he had the most impressive rig

and he had what you don't see. You see obviously the big

camera that is a stabilizer. And then below

him he has a 360 camera. So he's able to kind of capture literally everything

from that one rig. So definitely, I

feel like I have to up my equipment game.

Wait, you just got, you just got a new toy? I did just get it,

yeah. My budget is blown for a while. Like, you know, it's the DGX Spark

is what you're referring to. Yes, yes. So they actually had some

giveaways of those and it was definitely like, you know, the hotel thing that people

were excited about. So it did feel kind of good to be one of the

cool kids and be like, I have a DGX bar. Like, you know, and everybody's

like. And the funny thing is a lot of people didn't know you can buy

them at Micro Center. Like,

you know, that's where I got mine. A lot of people were waiting on theirs

to get delivered. Although at the conference, you. They actually had a store

and you could buy them. Wow. Yeah. Though I would imagine with DC

sales tax being what it is,

you know, the sales tax on mine was about 250. I think in D.C. it

would be closer to like 350. Right? But, you know, hey, you know,

you know, you have it right then and there, right?

So this person here, this is Maria Shah. She is a

the YouTuber behind the channel Python

Simplified. And

you know, she goes to a lot of these Nvidia events. So I'm like, you

know, I'm a big fan. So I was like, hey, you know, stop by the

Red Hat booth. And she didn't stop by the Red Hat booth, you know, so

that was cool. Like, it was cool to meet her. She is taller in person

than I thought, which is kind of funny. But

she's super cool and she has like a mini entourage and they were all like

super cool. Like, you know, one guy was like, no, no. Like I pictures

her, picture her wearing this hat and he's like, no, no, you got to get

the right angle. You got to get the right angle. The guy was doing that.

Like I was like one of her people and I was like. And he was

super cool. So

the, yeah, that was, it was a great conference. And

see if I have any other pictures. Oh yeah, there she is. This is the

one that he was like, no, no, you got to get like, you know, with

the branding and stuff like that. So very cool.

But she's really, she's really awesome. And I only recently found out that she

started her career as. And she's relatively young. I didn't

ask her age because that's totally in polite, but she's definitely younger than I

am and she's already changed careers. I think she originally was.

And she only recently shared this. She was originally a graphic designer,

which is interesting. Yeah. And then she's made the switch into. I think originally if

you look through her like her older stuff on YouTube, it was mostly Python

development. Right. Kind of like web development with Python and stuff like that. And then

gradually you've got more as the AI kind

of data thing. So, you know, good on her. You know, like, I think

career changes are going to be kind of the new norm. Right.

Yeah. I mean in every aspect of your life you have to

be adaptable, you have to be flexible. Absolutely. That,

you know, you know, you say that just to, just to handle social interactions.

It has to also do with your profession. You have to, you have to change

and you have to be willing to and, and know that it's scary

and do it anyway. Right, right, right, right. I

mean, I'm actually coming up on the anniversary of when I got

laid off Microsoft. So most people don't know. I did two

stints at Microsoft. One five, five and a half year stint and another like three

and a half year stint. So the first

stint ended because they were like, you got to move to Seattle or else. And

speaking of Microsoft, I saw some folks I used to work with at

Microsoft. So that was cool. They were working the Microsoft booth. Yeah. So we got

to catch up and stuff like that. And

you know, the nice thing about being a red hat is that people really like

red hat because we don't have, you know,

we work with everybody. Right. So like the one, the Microsoft guy was saying

like how crucial red hat is to a lot of his deals. Right.

He makes a lot of money, he's you know, he's a, he's what they call,

they used to call it tsp. And he's like, yeah, like, you know,

Red Hat helps me make my number. Right. AWS people will say that too,

right? It's a very rare kind of company where virtually everybody will work

with us, you know, which is kind of nice.

And so I was faced with that, right. I was a Windows Phone developer, right.

And I made the transition into data science almost

ten years ago now. And yeah,

and I, I wanted, I didn't really want to move to

Seattle, but the real thing that blocked me from like wanting to relocate

was the fact that my family is all on the east Coast. My in laws

were on the east coast. My mom stubbornly stayed in New Jersey way

longer than she needed to after my dad died. And

so I think I made the right decision for my

family. Plus my wife has her own career here in the D.C. metro as a,

as a fed. So it just made a lot of sense.

But we know what's really funny, Candace, is the whole.

Let me share this. This is a little bit of

self promotion, I suppose. This

here is the blog post that Plural site did

on me. Well, that was very cool though. I mean, we can take. It was

cool. Thank you, thank you. It really was cool and you deserve it because like,

it really, it came from your,

your love of lifelong learning and

who can't respect that, you know, that's what's so

fantastic about it. Like, and you could tell we're recording live because you have like

a film.

So they did this really nice story about like, you know, kind of like, you

know, the situation I was in was I really was a Windows Phone

developer and it was just kind of like not,

not a good time to be in Italy. I was the only company that would

had any kind of thing related work to that was Microsoft.

And every single job I applied to that year at Microsoft, they're like, you have

to move to, you have to relocate to Seattle. And I'm like, that's not happening.

So they did a really nice story, kind of like, you know, really

talking about career shifts and changes, you know, although some

people would argue I'm still an engineer, right? So I didn't really change radically.

But you know, even if you're in one field, even a field that's, you know,

quote unquote, a, you know, great career path like

software or development, your career, what, what

it looks like is going to change from the moment you get your degree

or, you know, graduate from a boot camp is Radically going to change.

Right. When I look back in my classes, like, you know,

the one that the. The basically was

Introduction to Relational Databases. Right. SQL and all

that, that's the one that has probably changed the least.

Right. Everything else is kind of like, you know, the language, no one uses Pascal,

no one uses fortran, no one uses prologic. And what was the other one?

There was some AI course I took. I'm blanking on whatever language that was.

But that is completely irrelevant to today's AI. Right.

So it's, I mean, it's just cool. And basically pluralsight has this, you know,

that. That's fantastic. I mean, but

legitimately finding how much time a day?

5 minutes, 10 minutes. Today, today I managed to put in like

30 minutes. But just to say I'm going to learn something new.

Right. You know, and you know, that's, I mean, that's really been,

you know, my entire last year, you know,

with, you know, impact quantum and, and data driven. Just

learning something new every day and figuring

out what's useful and what, you know, is

just a lot of hype and I can kind of not really worry about it.

Right. But being willing to learn. Yeah,

I mean, that's, that is going to be the adaptability. And

particularly this is even before kind of people are freaking out about AI taking

away all the jobs. Right. Even before that you really needed to be

adaptable. Right. And I know people that. I mean,

honestly, for me, I wish I could say I started off with that mindset, but

it really took major life crises.

Crazy. What's the plural crisis.

But it took multiple things like whether it was the

dot com bust followed by 911 for me to go from being

a Java developer to a. NET developer and then

going from basically being Windows Stack, Windows

admin developer, engineer to data

science. And AI also took a major

crisis. It's one thing. The previous time I was

laid off, I had no wife, I had no kids, I didn't have a

mortgage. Right. You know, the second time it happened, I did have

all of those. Right. So it was definitely a. You know,

sometimes panic and fear and loathing can lead to

motivation. Look, I mean, my

career started, you know, I was, I was a, I was

an English women's studies communication major.

I graduated from Barnard College of Columbia University,

which is kind of a big deal. I worked very hard. Thank you.

It's legit. Ivy League. Legit. Legit. And I

went into publishing. I just, that's where I landed My first job

and I, I loved being around books. That was pretty

obvious. I remember one of my, one of

my experiences was when Bridget Jones's

Diary came out in, in, in, in

paperback and I was at Penguin Putnam at the time and

you know, just figuring out how to keep all the, all the stores in stock

to keep it, you know, riding that best seller wave. And then finally,

you know, publishing was condensing and then I, and then I, I

immigrated to, to, to Canada and

I knew publishing. But that's when I started in technology

and went into tech publishing. Tech edtech, you know,

pub ed tech. And I was selling, you know,

all kinds of technology to every developer that I could find.

Evolving, just evolving with the market. I think that's where I first

met you. You were like at Silverlight Conference or something like that. At the

Manning booth or was it. Yeah, it was Manning

and that's what it was. I mean I had to, I had to you know,

learn and understand everything. You know, talking about Silverlight to Python

to, you know, and then it became to understanding, you know, machine learning

and TensorFlow and PyTorch and now

you know, just delving into quantum and

being a little bit obsessed with

quantum biology. That's all in quantum chemistry and

quantum consciousness. That's really

tickled, tickled me. Recently we have a great show on in the

queue about quantum where we kind of, we don't go into

it in detail but we do talk about it with, with

a legitimate researcher, right. Who does like, you know,

we get into a good conversation with her about space satellites and stuff like that

and kind of like what's the logistics of that? Like, because like, and I

was, I, I got, I got the answer to my question of like why Laser?

Like, you know what the acronym behind laser means? Like for me I never got

a good answer until that show. So. Right. If you're not already subscribed, do

subscribe. That was a cool conversation and how we're, we're going. You know, you

can connect up in space. It's very different than connecting here down at

Earth, right? Well, yeah. Plus the, the notion of you have like

she didn't give it in freedom units, she gave them in kilometers. But like, you

know, it's actually if you have the

longest subfloor sub ocean floor cable is like

40,000km and

it's actually faster to go up to a satellite and

then back down because that's more of a,

it's, it'll, it'll, it'll end up less than 40,000 kilometers.

Right. Plus there's also. And this is the part I have to listen to it

again because I understood it when she said it

and now I can't describe it. Like. But, but there's a. There's

a. Some quantum phenomena that would get lost through going

through all the repeaters on terrestrial cables.

Whereas if you bounce to the satellite, the satellite is only the only

repeater. So you have one repeater. Right. I remember that. I

remember we were really blown away by that. I don't remember why that mattered. I'll

have to listen to it again. But. But it did matter. It did. Oh, it

absolutely mattered. It had to do, I think with the distance.

I thought it was the repeaters. Well, that they brought

down the distance that it had to. I think it was distance, but it was

also repeaters because you need to repeat. You need to have a repeater, even for

fiber, which I didn't know that. So basically the signal will

lose strength over a certain amount of time. Right. And then you have to

amplify it every time. So because

it's 40,000km and it has to go through a tube, basically

the cable, you need repeaters every so often.

And each one of those repeaters would have to

have special magic hand wavium

to preserve the quantum space.

Quantum. Quantum information input that it gets and then on

the output. And there's a whole lot of

barriers. She explains it really well. I'm not going to,

but there's a whole lot of barriers that, you know, how do you. Preserving that

information is not trivial. So it's just easier to throw something in orbit that can

do it just once and then back down. We. So you also get the distance

benefit too. Right. And that pesky speed of light thing keeps

coming up. So. But this is going to be an upcoming.

This. It's an upcoming show. Yeah, it's very exciting.

I think two shows from now. It's brilliant. Brilliant.

Yeah, she was cool. But yeah, speaking of

quantum, I'm. There was a lot of quantum

companies there, like out on the expo floor. So it was really cool.

So I bumped into and I invited. I gave everyone

like, you know, my contact information. I was like, hey, you know, we got

this and you know, impact Quantum. And so I

bumped into. Not. The display thing is not cooperating with me there it

is. So inflection was there.

Quantum machines was there,

Quero was there, Yuval's

company was there. He wasn't there. But like the people knew him.

So there's a lot. So I introduced myself to everybody there, like hey, you know,

because we're always looking for guests. So that's

a plug for if you're a quantum company. If you're listening, it's

ditto for Data Driven. Right. I mean, it's, it's. What's interesting

is, and I kind of suspected this like a couple years

ago, like, people always like, why are you, why are you interested

in quantum? Right. Because I'm like, there's going to be an overlap of AI and

quantum. Absolutely. And like, and I

also kind of, like, I also kind of like a year ago kind of said,

you know, it's looking like Nvidia one day will be thought of more of as

a defense contractor and critical to national defense. When I said

it, I looked like I was a lunatic. But if you watch the keynote,

I highly recommend you go do that. Like, it's not that hard of a stretch.

He didn't say it in so many words, but it was pretty clear. Like the,

the writings on the wall. Like, this is a national security issue.

Right. And, and, and, and props to Jensen

Huang for

setting the stage for who the adversary is without saying that said

adversary by name. Okay. And since his, I think his

family's from Taiwan, so like, he's probably, it's pretty close

to home in a lot of ways. Right.

And now it's just very impressive. Kind of like

it's these emerging to emerging intersections. Yeah. That

are what's really the most exciting. Like when you, when you think about robotics

and about AI and then you think about quantum

hybrid. Yeah. I mean, these are not

isolated silos of technology. These are very closely

integrated. And you know, my

advice to anyone out there is, you know, get good at one.

Right. Because it's very easy to look at all this, get overwhelmed. Right. But get

good at one silo and then at least have a passing

understanding, conversational understanding of the other ones. Right. Think of it

like human languages. Right. You obviously have your native language and if you can, you

don't have to be totally fluent in a second language. But as long as you

can kind of like have a base understanding and kind of ability to get around,

that is going to open up more doors for you. And I think the same

is true in tech. Right. Like, you know, obviously my home base is

data science and AI, but you

know, soon, maybe one day quantum, Right. I'll be able to explain

why the satellites are better

than, than the landlines. But, you know,

but I think it's also interesting to realize, like, how much

we do know about quantum more than the

average Technologist. Right. Because people are asking me like, why is

quantum a big deal? And I was explaining it and those people like, oh, okay.

You know, and it's like, it's hard. I'm like, yeah, it's very hard. Like,

you know, when I first learned, heard about it, like, I would go 15

minutes, I'd get a migraine, I'd have to stop. Right,

right. Break it down. And you understand that, you know, quantum is

important. It's important for certain businesses,

certain sectors way more than others. It will

affect all sectors, but. And some are more

obvious than others. Right. Like there's going to be some sectors that are going to

immediately be impacted. Right. Security. It. Security being probably

the most obvious. I think health is another, really. Health is another

one. Anything where you have to simulate chemistry.

Yes. Oh my God. I spoke to a

phenomenal woman yesterday. We're gonna have her on the show

and she is this molecular

chemist and she is just

fascinated about the intersection of

chemistry, biology and quantum. And

just, and it's just so important to understand the intersections there. And

that's going to be a great conversation as well. Sorry. No, no, it's a

very exciting time to be like, you know, I mean, honestly, like, if I,

you know, one conference had robots, had AI, had

quantum computing, like all in one place, man, it doesn't get much better than that.

What was really interesting though was a, this was kind of

talk about in the keynote where he talks about, you know, one of the server

racks that they have for their supercomputer is like over 2 million parts. Right. From

like hundreds of different suppliers. So you have to give it

props to Nvidia's like, logistics, plus also

the electrical systems that they need. The cooling system, like they had one, they had

like a couple of exhibits were talking about like different cooling system, liquid cooling,

high efficiency air cooling. There was MCD

and Schneider Electric, a couple of electric companies were there.

Not like electric company kids show when we were kids, but,

but electrical engineering companies were there because it matters. Right? Like all of this

stuff has to happen somewhere in the physical world. And

you know, very often that's in Loudoun County, Virginia. But you know, that's, that's,

that's, that's a topic for another show. But yeah,

so this is some of the swag. So in the keynote room they had T

shirts, so

which was pretty cool. And then we have this bag which

I'm gonna see if I can get my kids to nerd out and trick or

treat with this.

But some of the swag in here was really good. Like, my favorite bit of

swag was this thing.

See if I can see that. It's basically like a. An adapter.

So it also has this. So this is the probably the most useful bit of

swag. There's other cool stuff in here, too. There's what I think

is a luggage tag for F5 Networks.

And this is just the other stuff I collected.

There's. Whose socks are these? AWS

socks. Okay. With the DC

Skyline. That's kind of cool.

Guardians of the AI keychain, or is that a pin

keychain? Hand

sanitizer, but like in a business card type

thing. Okay. But that was pretty cool. And then

I did get quantum machine socks. They're upstairs.

You know, pens, the usual kind of swaggy type stuff.

Google Cloud pen. And so,

yeah, it was. It was definitely a very productive,

you know, couple days. I definitely am

gonna kind of binge watch all the sessions because as far as I know, everything

was recorded. So that'll be kind of nice.

And yeah, it was awesome. And I thought it would be cool

to kind of share this across both shows, right, because these are two very related

fields, right? AI and quantum computing.

Because, you know, whether you're using actual quantum

computers or simulated ones, it's

all going to be some form of linear algebra, which happens to be what

these GPUs are really good at. And the keynote really

did a good job of putting it all into perspective in terms

of, you know,

oh, we, you know, it was a little. Little braggadocious, but, you know, I guess

when you're worth $5 trillion, you know, you can. Yeah, I guess

so. Right? You know, I would. Dear Lord, please give me that problem.

Oh, my God. Honestly, making trouble today. Okay,

now it's Murphy's Law, man. As soon as I crack open a book or start

a call, guaranteed somebody exactly

like. So the.

See, folks, we really do record these live

today, folks. We really do. But these are. These are.

These are interesting times in terms of.

There we go. Cool. Sorry about that, folks.

It really is live. So also, you know, we're streaming this on multiple YouTube channels,

so if you. If you. If you're a lot of channel growth on both channels,

both Frank's World and the Impact Quantum Channel. So wherever platform

you're liking, if you can, like, share and subscribe, that'd be great. Leave a comment

if you have any questions, but there's definitely a lot to digest from

this show in terms of, you know, from robots to

quantum computers. The big thing that they released was The

NVQ link, which is an interesting,

I would say little project, but it's not little.

It is basically like a network bandwidth. I totally want to geek out on this

and I would be lying if I said I knew that much about it, but

everybody was just going crazy over it,

right? Yeah, there's a lot of potential there,

right. I mean, a lot of potential to just kind of

set the pace for quantum networking 100.

Right. And just the high speed bandwidth because hang on a second,

my wireless headset batteries were low when it was beeping at me, so I had

to take those off for a second. But no, like, I mean

just kind of, even if you don't use it, it's basically a

high speed, low latency interconnect

between both quantum processors as well as

GPU based ones. Right. So this is,

I mean the stat was just unbelievable. Like it

could, you know, this thing could house, I mean, terabits of information

could be shared across this. Right. So the whole notion of what it takes to

build a computer bus speeds can

be completely reimagined now because of this. Right? And the idea is that, you

know, when you do have a, you know, you'll see in the picture, right, there's

the chandelier.

Those are going to need some kind of controller system. So you have these hybrid

systems that are both GPU super clusters and an actual quantum

computer. So I think that the. And, and you'll notice that they did a really

good job here of showing now at least three different types. Right? There's this

one, I think that's the Rigetti.

This one, I forget the name of it, but they had these all out on

the floor. Okay. And you'll have to go to watch the

YouTube shorts to kind of see me walk around them and stuff like that. But

I mean it was just, it, you know, and this is just, just so much

going on in so many different directions. One of the

companies there was a robotics company and

they're. I overheard the pitch.

Basically the too long didn't read of the pitch was

you don't buy the robots from them, you pay them $20 an

hour basically per robot. That was basically the

idea. So don't quote me on

that over that. That makes it much more competitive, right?

Yeah. Because I gotta spend how much money to get one

robot. Right. And whatever the, the

accounting magic you need to make that make sense. Right, Right.

You don't. That, that doesn't really apply anymore. Right. It's completely.

Right. I don't even know if that's and. Minimum wage in some

places is 15. Right. So, like, it's not,

you know, and these workers could work 24, 7. They don't get sick.

I mean, they'll break down, but yeah, I mean, the labor market is about to

get seriously disrupted.

Yeah. And, you know,

speak. You know, I think everybody over the

next five, 10 years is going to have to experience some kind of career disruption

and retraining. Right. So if

you don't like learning,

get used to it. You know, Eat your

vegetables. Right? Is kind of like the thing. Learn to like the vegetables. That makes

it a lot easier when you eat them. But it's fun, Right. And I think

I enjoy some of. The stuff that I've learned, like AI tools. I mean,

I. I have. I'm having the best time. I mean, I'm like, is this even.

Am I working right now? I don't even feel like. I feel like I'm enjoying

what I'm creating. I'm enjoying what I'm sharing,

and I'm doing it in a way that's incredibly digestible to

all kinds of folks, and that's what I'm looking to do. And people

need translators, Right. People that can understand

the deep technical side of it and explain it in more human terms.

Right. And, you know, I gave my stump

speech yesterday. Somebody was like, you know, how do I get one of the. There

was a recent graduate. Was there. A lot of university students were there,

too, which I think Nvidia gave them like a sweetheart

deal to attend. Oh, I think it's so important, though. I mean,

it really is. Right. Well, it's smart, too, right? Because one, it's, you know, you

know, eth. You know, it's the right thing to do. Right. But it's also going

to build out their talent pipeline. Right. It's the next generation of talent.

Get them out there, get them all. They're. They're excited.

I met students from Morgan State dmu,

University of Maryland, University of Kentucky. They actually

drove from Cincinnati area to here.

And though, I mean, it was just

a bunch of universities

and Virginia Tech was actually a sponsor of the conference, which I thought was

interesting. Oh, that is interesting. Their logo is up there. And I was

like, oh, that is interesting. And probably a bunch of other universities just didn't notice

it. Their logo is very stands out. Okay,

well, then they did the right way. They did it the right way. Yeah, exactly.

Right. So it was. It

was a very. It was one of the more unique conferences

I've ever been to. Right. Because

it really was at the confluence of national security Fed type

stuff, cutting edge robotics, cutting edge

AI, quantum computers. You had students, you had federal

employees, you had uniform service manager, you had congressional policy

makers pipeline showing up. It was a, it was a unique mix

that you don't see a lot of places. Right, right.

So it was really cool. I'm hoping to go to the one,

the big one in California which is going to be. Suppose somebody told me that

it's wall to wall people and increasingly over the last few years world

of war robots too. So. Right, right. More of that in California. I mean

that's the thing. You wanna this kind of set the stage for you. Yeah,

yeah, expect for the next one. Right? Yeah, exactly. I mean

and, and Nvidia's really got a lot of things figured

out. Right. Like it's not just the hardware, they have the software layer with

Cuda. Jensen does a far better job of explaining it in the first 10

minutes of the keynote. But

I mean no wonder why they're worth 5 trillion. Like it's no

surprise.

It'S always live, it's always. Things are always going on.

Someone came into her, her home office while we were. So

if you're listening, you didn't see it, but.

I found the pod. But so thanks for joining us live.

I don't see any active question questions in the queue but

if I met you at the conference. Very nice to meet you. Definitely

looking forward to getting hands on with the spark

that was also cool. Everybody's like do you have a spark? Do you have a

spark? Well that kind of puts you on different echelon. I know I was like

one of the cool kids. I got a spark that was like. Rolling up the

high school and like you know, a Beamer or my neighborhood is really an

Irocol. But

that date, that, that puts me in a very interesting time and place in

history I suppose. But, but yeah, no it was

really, it was really cool. I think the future looks

amazing and I think there's just so much

opportunity in this space. Oh the one last thing was like there was this.

Nvidia had like a whole startup area. So apparently Nvidia has like a startup program

and stuff like that out. Really cool stuff, a lot of innovative stuff there.

One of the best signs I saw, which was behind the red hat booth, it

was kind of like the next aisle over was they had this huge sign that

said AI took my job right in big text

and the little text to another level. Oh

like that's clever. Right? You know, I mean that's

It's. What did someone say? It's not that AI is going

to take away your job, it's that the person

who knows how to use AI. Is going to take over your job. Is going

to take away. And I'm like, well, I was like, you know,

look at the stuff we do. Right? We're not a big team here. Right? We're

not, you know,

look at what we're able to accomplish. Yeah, absolutely. You

know, and that would not have been, it would have been

doable, it wouldn't have been feasible without AI. Right,

right. Because sadly I do have to sleep sometimes

and. You got three. You got three kids. I got three kids. Yeah. There you

go. Well, I'm really happy that we talked about this because

honestly, the conference looked really exciting. It was awesome. Always nice to

hear from somebody who's there, get them to download, you know, some of that information.

Absolutely, absolutely. Fun fact. We actually re recorded this.

We were, we pre recorded something a day before, before I went and I was

like, no, so much was there that we have to redo it.

So let us know in the comments if you want to hear. Kind of like

the original, It'll be like the original cut of Star wars and kind of

like the remix, you know.

But yeah, I mean I'm, I'm super

excited. It was cool to connect with former people

I work with at Microsoft and these are people that go way back.

Like back to when it was called dpe Developer Platform Evangelism. Like it was

like, you know, he was talking about like, you know, we had some interesting war

this, this was when Windows Phone still was a

thing. So way, way back.

But yeah, plus it was really cool to meet like

Maria. Maria Shaw from Python. Simplistic. She's awesome. Shout out to you, Maria.

You know, you know, not only have you also

career transition, you've done it very well. And I think your, your videos are

always positive and helpful to help other people follow that path too. Right.

You know, and that's what we try. To do here, right. Being

quantum curious, we're saying, you know, you don't have to have a PhD. No,

but that doesn't mean that you can't be in the conversation. It doesn't mean you

can't understand. I gave that some speech yesterday. I was like, you know, look, you

don't have to be a PhD in this. So I, you know, they're going to

need, they're going to need customer solution architects. They're going to need. Or Customer success,

whatever they're called now, CSAs. You're going to need people to rack and

stack this stuff. You're going to need people that you know can market

it. You're going to need business development, you need sales leaders. You're going to need

all of that stuff. You are going to need. Yeah. And not

every one of them is going to need a PhD. In fact,

one of the guests said there's already too many PhDs in

this field, which is kind of funny, right?

So actually, speaking of which, Candace, that is an excellent segue. No

wonder why you're a master marketer. So this is our book here

that we wrote and it is. Can I. I think it's up there.

It says Quantum Sales Playbook. There we go. There you go. Quantum

Sales Playbook. And it's basically a sales playbook

that is for startups, for anyone in

really emerging tech fields. Right. Like, you know, I wrote this

around Quantum based on what I experienced with AI, because

I've been doing AI now about 10 years, right. And majority of that

has either been sales or delivering training

about AI, right. So actually I think eight of those 10

years have been selling AI. Two of those have

been training shout out to Wintelect

back in the day. But, but it's also

part of it. Is from, you know, I don't know, maybe

14 or 15 episodes of, of the first part of the season

of us talking to experts and understanding, you know,

right. All of their perspectives be, be them PhDs, be

them industry, be them, you know, trying to go over the bridge from

1 to 1 to the other, you know, hearing what they have to say and

what's real, what's actually happening. One of the guests pointed out, he goes, he, he

does happen to have a PhD, right? And, but he

realized that he, you know, he sold the system to a company in Japan and

like, they had to fly out a lot of

people like customer success, right. To make sure it up and runs and things like

that. And they didn't, you know, I think it was kind of a learning experience.

That's why I'm not saying the name. If you want to listen to it, you

figure out which. Who I'm talking about because that show has been released.

And if you're really clever, you know, that we said the name of said company

already in this episode. But, but, you know, he's like a learning

experience. Like he Realized like, you know, you know,

you're gonna need people to rack and stack him is basically kind of like the

end result. Right. Like when somebody buys a solution and it's has to

be on prem, you have to set it up, configure it. You have to teach

people how to configure it. So you're going to need trainers, you're going to need

marketers, you're going to need all of these roles. You're going to need

them. Right. Do they have to have PhDs in quantum physics? No.

In fact, it's probably a waste of their education and skills because the people with

the PhDs need to be designing the next version of your product.

Right. So you need people who are kind of not

PhDs. You need people from other disciplines to go in and do this.

Right. And that's really kind of the gist of art. This show.

Right. This impact Quantum. And the book is really about, like, if you. This

is really for business developers, startup founders. That's really who this is really meant for

is like, even if you have a PhD, you can't assume

everyone else will understand why qubits are important, why they're

a big deal. Right. And that's the subtitle of the book is Selling Outcomes, not

Qubits. Right. And it's not just, it's not just for

Quantum. No. This could apply to any emerging tech. Exactly.

That's the point. It's for any emerging tech getting kind of beyond what the technology

is into, why the solution is going to work.

That's exactly the more important, you know, aspect of it. So, yeah.

Awesome. And if you run an incubator

or like a research facility at a university,

we'll give you a copy of it for free. Right. We're not doing this for

the money. We're just doing this to, to help nudge along this. Right. Give my,

give my experience in sales, Candace's experience in marketing. Kind of like

translate that into quantum. Right. It's our contribution to this

emerging ecosystem. Exactly, Exactly.

Awesome. And that's all I got.

Anything else pertinent North?

The Great White North? No, honestly, it's raining. It's

raining here today. And that's. So it's not, it's not white yet.

We're gonna need. I mean, and it's. It's been known to snow by

Halloween, but. Yeah, yeah, yeah, I don't think we're. Gonna have that this

year. I think it's. My grandfather grew up in Montreal, so whenever as a kid,

I would complain about being Colder. Like the snow. He would tell

me it was the ultimate uphill, both ways in the

snow, being chased by polar bears. Like, that was the exact

kind of stuff I do to my kids now. Because

it's time. We should be doing it. Time. Yeah, yeah, yeah, yeah. Up a little

bit. There you go. Although one of my Weisenheimer kids is like, you know, growing

up in New York City, he's like, yeah, uphill. Both AOAs in the snow while

getting shot at. Like, oh, okay. Now he's just taking it

to the next level. For his credit was it was

the kids taking it to the next level. So I've

raised snarky kids, which is karma, I suppose, coming back to bite me.

Oh, oh, please. I'm from New York, so my kids have a level of sarcasm.

Oh, yeah. That's unnatural that even though they spent. More years in

Montreal, people are like, you're so New York. And,

like, where are you from? Kind of sticks with

you. Yeah. I mean, I understand why it sticks with me, but it's from them,

and. And they. They left there two and four years old, you know, and

now they're 20 and 18. But it's. It's. It's. It's

in the home, too. Right. It's in the heart. Right. Thankfully for me, like, I'm

still in, like, the east coast corridor. Right. So Baltimore is kind of like,

you know, like a Diet Coke for. I'm gonna get so much hate mail for

that. But it's not. It's culturally similar enough,

you know, Kind of got that east coast vibe. Right. Right. So.

All right. So with that, we'll let our AI who is a British

AI from the other side of the pond, finish the show. And if you're

watching this live on the live stream, you get treated to some

extra fancy graphics. So I have my outro

graphics that I will play now,

assuming I can find it. There it is.