Logovideo to article
00:00 - 00:07

He's the founder, CEO, and president of

00:03 - 00:09

Nvidia. Jensen Wong, he's producing up

00:07 - 00:11

to 500 billion over the next four years

00:09 - 00:14

to manufacture the most powerful AI

00:11 - 00:16

chips entirely in the USA for the first

00:14 - 00:20

time ever. Uh, Jensen, would you come up

00:16 - 00:25

and say a few words? This is a smart

00:20 - 00:27

cookie. Thank you. Thank you, sir.

00:25 - 00:31

Thank you, Mr. President. It's a great

00:27 - 00:33

honor to be here. uh Nvidia reinvented

00:31 - 00:37

computing for the first time after 60

00:33 - 00:39

years. In fact, at IBM knows quite well

00:37 - 00:43

that the computer has largely been the

00:39 - 00:46

same since the 60s. The IBM system 360

00:43 - 00:48

described really quite perfectly the

00:46 - 00:50

computer that we use today. central

00:48 - 00:53

processing units, operating systems, the

00:50 - 00:55

separation of hardware and software, IO

00:53 - 00:57

subsystems, multitasking, all of the

00:55 - 01:00

words that we use to describe computers

00:57 - 01:02

today were really invented in 1964, the

01:00 - 01:04

year after my birth. Well, after all

01:02 - 01:06

this time, we've reinvented computers

01:04 - 01:08

again. This is what a a processor looks

01:06 - 01:11

like. It's on the right right there.

01:08 - 01:15

People say it's a GPU. that GPU that's

01:11 - 01:20

one GPU unit and it's uh 70 pounds

01:15 - 01:22

60,000 parts uh 10,000 watts uh in order

01:20 - 01:24

to manufacture it requires probably a

01:22 - 01:28

couple of hundred companies in the

01:24 - 01:30

supply chain. It is so heavy uh that it

01:28 - 01:33

requires robotics to do it's so precise

01:30 - 01:35

and in just to test a supercomput

01:33 - 01:38

requires a

01:35 - 01:39

supercomputer and we're going to build

01:38 - 01:41

uh Nvidia's technology the next

01:39 - 01:44

generation of that uh all here in the

01:41 - 01:47

United States without without the

01:44 - 01:49

president's leadership his

01:47 - 01:53

policies his

01:49 - 01:56

support and very importantly his strong

01:53 - 01:59

encouragement and I mean been a strong

01:56 - 02:01

encouragement. I frankly frankly uh

01:59 - 02:04

manufacturing United States uh wouldn't

02:01 - 02:06

have accelerated to this pace. Uh

02:04 - 02:08

manufacturing manufacturing isn't about

02:06 - 02:11

lowcost labor anymore. Manufacturing is

02:08 - 02:14

about technology and most of the

02:11 - 02:16

factories that uh build these systems

02:14 - 02:18

today are the most advanced factories in

02:16 - 02:20

the future. And we're going to use

02:18 - 02:22

artificial intelligence and robotics and

02:20 - 02:24

Omniverse digital twin technology to

02:22 - 02:26

make it possible for us to create the

02:24 - 02:27

factories of the future. And we ought to

02:26 - 02:30

build it. We ought to build it right

02:27 - 02:33

here. The the really the the really

02:30 - 02:36

amazing thing is that this computer is

02:33 - 02:38

the engine of a whole new industry. And

02:36 - 02:40

this new industry is called artificial

02:38 - 02:43

intelligence. And this new industry is a

02:40 - 02:47

manufacturing industry in itself. That's

02:43 - 02:49

a factory machine. Just as several

02:47 - 02:51

hundred years ago, the dynamo was

02:49 - 02:53

invented, uh, water would come in and

02:51 - 02:55

electricity would come out. Now,

02:53 - 02:58

electricity goes into this machine and

02:55 - 03:00

incredible tokens come out, artificial

02:58 - 03:02

intelligence. In order for this industry

03:00 - 03:04

to thrive, we need to build these

03:02 - 03:08

systems, of course, but we also need a

03:04 - 03:11

progressive growth and industry oriented

03:08 - 03:13

energy policy, which this president has

03:11 - 03:16

really put his weight behind. I really

03:13 - 03:18

appreciate that. Without energy, we

03:16 - 03:20

can't possibly have new growth

03:18 - 03:22

industries. And we now have the backing

03:20 - 03:25

of the administration, the backing of

03:22 - 03:27

President Trump um to support uh the

03:25 - 03:29

creation of a whole new industry. This

03:27 - 03:31

industry is going to enable a whole

03:29 - 03:33

bunch of other industries. What we now

03:31 - 03:34

call the AI infrastructure is going to

03:33 - 03:38

revolutionize every industry that we

03:34 - 03:40

know. All of the the many CEOs in the

03:38 - 03:42

room today are are great partners of

03:40 - 03:44

ours for that reason. Uh we're working

03:42 - 03:45

on artificial intelligence for many

03:44 - 03:48

industries from healthcare to drug

03:45 - 03:50

discovery to life to well life sciences,

03:48 - 03:52

financial services, education, so many

03:50 - 03:54

different industries. And that's going

03:52 - 03:55

to be possible because we have the

03:54 - 03:57

fundamental infrastructure here in the

03:55 - 03:58

United States. And so I want to thank

03:57 - 04:01

you sir for everything that you've done

03:58 - 04:03

and the strong encouragement and the

04:01 - 04:05

great policies that make it possible for

04:03 - 04:13

us. Thank you sir.

04:05 - 04:13

[Applause]

The Future of AI Manufacturing: Jensen Huang’s Vision for Nvidia

In a groundbreaking speech, Jensen Huang, the CEO of Nvidia, highlighted the company's ambitious plans to produce the most powerful AI chips entirely in the USA. Aiming to invest up to $500 billion over the next four years, Huang emphasized the reinvention of computing and the pivotal role that AI infrastructure will play across various industries. This article explores Huang's insights on technology, manufacturing, and the future of artificial intelligence.

Reinventing Computing: The New Era of AI Chips

Jensen Huang made a compelling case for the transformation of computing, likening Nvidia's advances to a significant historical shift in technology. He pointed out that, despite the substantial progress in computing over the decades, the fundamental principles laid down by IBM in the 1960s have largely remained unchanged. However, with Nvidia's innovations, we stand at the brink of a major breakthrough.

The Role of GPUs in AI Development

Central to Huang’s vision is the Graphics Processing Unit (GPU), which has emerged as a crucial component in handling AI tasks. Unlike traditional CPUs, GPUs are designed to process multiple tasks simultaneously, making them ideal for the complex computations involved in AI. Huang illustrated this point with an example of a single GPU weighing 70 pounds and requiring hundreds of companies in its supply chain. This reflects not just the physical nature of manufacturing but also highlights the intricate relationships between various sectors in building a new industrial revolution centered around AI.

Future-Focused Manufacturing: The Importance of Advanced Technologies

Huang articulated a shift in manufacturing paradigms, mentioning that it is no longer about low-cost labor but rather about cutting-edge technology. Nvidia's strategy involves leveraging artificial intelligence, robotics, and digital twin technology to create advanced factories in the United States. This focus on technology over labor affordability underscores a significant change in how industries will evolve moving forward.

The Need for Collaborative Policies

For Huang, the support from the government and President Trump is pivotal for the growth of this new AI manufacturing industry. He asserted the need for a progressive energy policy, one that can fuel innovation and support new growth industries. The synergy between government policies and technological advancements is crucial for fostering an environment conducive to AI infrastructure development.

AI: A Cornerstone of Future Industries

The speech emphasized that AI is not just an isolated field; instead, it is an integral part of an expansive ecosystem. Huang described AI infrastructure as a revolutionary force capable of transforming sectors such as healthcare, finance, education, and more. By leveraging AI technologies, companies in these industries can improve their operations, drive efficiencies, and ultimately deliver better services.

Strategic Partnerships Across Industries

Huang acknowledged the collaborative nature of success in AI development, stressing that Nvidia’s partnerships with various industry leaders are essential for generating innovative solutions. The concerted efforts among CEOs and organizations empower the industry to tackle multifaceted challenges and will help pave the way for AI’s broader applications.

The Call for Innovation: Building the Future Together

In conclusion, Jensen Huang's dialogue serves as an inspirational call to action for stakeholders across industries to focus their energies on building a robust AI manufacturing sector in the USA. The push for advanced technology, combined with strong governmental support, presents a unique opportunity for revolutionizing numerous industries.

As Huang indicated with the metaphor of the dynamo, artificial intelligence is poised to be the power behind a multitude of innovations, ready to transform how we live and work. In this light, the future of AI manufacturing stands not only as a pillar of technological advancement but also as a critical avenue for economic growth and sustainability.

In adapting to the ever-evolving landscape of technology, those willing to embrace new inventions and collaborative strategies will undoubtedly lead the way into a future defined by artificial intelligence. Let's harness this momentum and cross the threshold into an era of limitless potential!