How NVIDIA just defeated every other tech company

Mrwhosetheboss
20 Jul 202409:19

Summary

TLDRIn June 2024, Nvidia became the world's most valuable company, worth $3.34 trillion, surpassing tech giants like Microsoft and Apple. Founded in 1993 by Jensen Huang, a former waiter turned microprocessor designer, Nvidia revolutionized gaming with its GeForce 256 GPU in 1999. Its bet on AI in 2006 with the CUDA platform made it the go-to for AI development, powering everything from self-driving cars to cloud computing. Nvidia's 10:1 stock split in June made it more accessible to investors, reflecting its pivotal role in the digital future.

Takeaways

  • ๐ŸŒŸ On June 18, 2024, Nvidia became the world's most valuable company, surpassing giants like Microsoft, Apple, Samsung, and Alphabet, with a valuation of $3.34 trillion.
  • ๐ŸŽฎ Nvidia's success is not just due to their high-end PC graphics cards but also their strategic moves in the tech industry.
  • ๐Ÿ’ก Nvidia was founded in 1993 by Jensen Huang, who started with humble beginnings and a passion for computer science, eventually leading to the creation of a revolutionary company.
  • ๐Ÿ› ๏ธ The company's name, Nvidia, is derived from the Latin word 'Invidia', symbolizing envy, reflecting their ambition to create products that others would envy.
  • ๐Ÿš€ Nvidia revolutionized gaming with the release of the GeForce 256 in 1999, the first GPU designed for parallel processing to handle graphics rendering, offloading tasks from the CPU.
  • ๐Ÿ† Nvidia's dominance in the GPU market has been so significant that they have outperformed their traditional rival AMD, with revenues in the first quarter of the year being $26 billion compared to AMD's $5.5 billion.
  • ๐Ÿง  Nvidia's significant bet on AI came in 2006 with the release of CUDA, a software platform that allowed developers to harness the full power of Nvidia GPUs for a wide range of non-graphics tasks.
  • ๐ŸŒ CUDA's efficiency and the widespread adoption by developers made Nvidia GPUs the go-to choice for AI development, embedding the company into the fabric of artificial intelligence.
  • ๐Ÿ”ง Nvidia's technology is integral to various industries, from medical research to self-driving cars, and even powers a significant portion of cloud-based internet services like Amazon Web Services.
  • ๐Ÿ“ˆ Nvidia's stock underwent a 10:1 stock split in June 2024, making shares more affordable and accessible to new investors, which likely contributed to their market value surge.
  • ๐Ÿ” Despite a market correction that saw Nvidia drop to the third most valuable company, their integral role in the digital transformation and AI industry suggests a resilient position in the tech landscape.

Q & A

  • On what date did Nvidia become the most valuable company in the world?

    -Nvidia became the most valuable company in the world on the 18th of June 2024.

  • What was Nvidia's market value when it became the most valuable company?

    -Nvidia's market value was $3.34 trillion when it became the most valuable company.

  • Which companies did Nvidia overtake to become the most valuable?

    -Nvidia overtook Microsoft, Apple, Samsung, and Alphabet to become the most valuable company.

  • How many times could Nvidia's market value buy the highest grossing media franchise in the world?

    -Nvidia's market value could buy the highest grossing media franchise in the world 36 times.

  • What is the significance of the name 'Nvidia'?

    -The name 'Nvidia' comes from the Latin word 'Invidia', which is the name of an ancient Roman goddess representing envy. It also implies 'next version envy', suggesting that people will be envious of their next chip.

  • What was the key innovation that Nvidia introduced with the GeForce 256 in 1999?

    -The GeForce 256 was the first chip marketed as a Graphics Processing Unit (GPU), designed to handle graphics rendering load alongside the CPU, using efficient parallel processing.

  • What is CUDA and why was it significant for Nvidia's growth?

    -CUDA (Compute Unified Device Architecture) is a software platform released by Nvidia in 2006 that allowed developers to utilize the full power of Nvidia GPUs for non-graphics tasks, making their GPUs the tool for various applications beyond gaming.

  • How did Nvidia's involvement with AI contribute to its success?

    -Nvidia's forward-thinking approach in working with other tech companies on AI for two decades made them embedded into the fabric of artificial intelligence, becoming the go-to for companies wanting to build and train powerful AI models.

  • What is a 10:1 stock split and how did it affect Nvidia's accessibility to new investors?

    -A 10:1 stock split means each existing share of a stock is divided into 10 new shares, making each share worth a tenth of its original value. This made Nvidia shares more affordable and accessible to new investors.

  • How has Nvidia's technology been integrated into various industries?

    -Nvidia's technology has been integrated into various industries such as movie production using game engine graphics, medical training using digital twins, and powering the infrastructure for cloud-based internet services like Amazon Web Services.

  • What is the potential environmental impact of the growth in AI and Nvidia's role in it?

    -The growth in AI, powered by Nvidia GPUs, could potentially consume a significant amount of power. A study suggests that at the current rate of growth, AI needs alone could consume the power equivalent to an entire country the size of the Netherlands.

Outlines

00:00

๐Ÿš€ Nvidia's Rise to World's Most Valuable Company

On June 18, 2024, Nvidia surpassed major tech giants like Microsoft, Apple, Samsung, and Alphabet to become the world's most valuable company with a market value of $3.34 trillion. This achievement is particularly remarkable given Nvidia's relatively recent inception in 1993. The company's founder and current CEO, Jensen Huang, started with humble beginnings, working as a waiter at a local Denny's before transitioning to a career in microprocessor design at AMD. Nvidia's pivotal moment came in 1999 with the release of the GeForce 256, the first GPU, which revolutionized gaming by offloading graphics rendering tasks from the CPU. This innovation quickly made Nvidia a household name. The company's success didn't stop there; they continued to dominate the GPU market, outselling their rivals like AMD. Nvidia's strategic bet on AI in 2006 with the release of CUDA, a software platform that enabled developers to harness the full power of Nvidia GPUs for non-graphics tasks, further solidified their position. This move made Nvidia GPUs the go-to choice for AI development, video editing, financial modeling, and cryptocurrency mining.

05:01

๐Ÿค– Nvidia's Integral Role in AI and Digital Transformation

Nvidia's pioneering role in unlocking the computational power of GPUs for developers through their CUDA software has made it the default choice in the AI industry. The efficiency of CUDA, tailored specifically for Nvidia's graphics chips, has been instrumental in embedding Nvidia into the fabric of artificial intelligence. This has been evident in various applications, from Tesla's self-driving car algorithms to complex simulations for disease research. Nvidia's technology also powers Amazon Web Services, a major web services provider, indicating its widespread use in the digital infrastructure. The company's decision to perform a 10:1 stock split in June 2024 made their shares more accessible to new investors, boosting their market value. Despite some market corrections and questions about the sustainability of AI's growth, Nvidia's technology remains at the forefront of digital transformation, from movie production using game engine graphics to surgical training with digital twins. Nvidia's GPUs are the driving force behind these advancements, solidifying their position as a key player in the digital age.

Mindmap

Keywords

๐Ÿ’กNvidia

Nvidia is a leading technology company specializing in the design and manufacturing of graphics processing units (GPUs). In the video, it is highlighted as becoming the most valuable company in the world, surpassing giants like Microsoft and Apple, largely due to its pivotal role in the AI and GPU market. The script mentions Nvidia's innovative history, starting from its founding in 1993 and its significant contributions to the field of graphics and AI.

๐Ÿ’กGraphics Processing Unit (GPU)

A GPU is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display. The video script explains how Nvidia's GPUs revolutionized gaming by offloading graphics rendering tasks from the CPU, allowing for more efficient parallel processing, and have since become essential in various fields including AI, video editing, and financial modeling.

๐Ÿ’กArtificial Intelligence (AI)

AI refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The video emphasizes Nvidia's bet on AI, particularly through its CUDA platform, which has positioned the company as a key player in the development and training of AI models. Examples from the script include AI's application in disease research, self-driving cars, and digital services.

๐Ÿ’กCUDA

CUDA, or Compute Unified Device Architecture, is a parallel computing platform and application programming interface (API) model created by Nvidia. It allows developers to use Nvidia GPUs for general purpose processing, beyond graphics. The script describes CUDA as a game-changer that made Nvidia GPUs the go-to choice for AI development and other computationally intensive tasks.

๐Ÿ’กStock Split

A stock split is a corporate action in which a company increases the number of its outstanding shares by issuing more shares to current shareholders. In the video, Nvidia's 10:1 stock split is mentioned as a move that made its shares more affordable and accessible to new investors, potentially contributing to its market value surge.

๐Ÿ’กMarket Correction

A market correction refers to a decline of at least 10% in the value of a stock, bond, or commodity from its recent peak. The script notes that Nvidia experienced a market correction, falling to the third most valuable company, which indicates the volatility and speculative nature of the tech market.

๐Ÿ’กJensen Huang

Jensen Huang is the co-founder and CEO of Nvidia. The video script shares his journey from working as a waiter's assistant to becoming a key figure in the technology industry. His vision and leadership have been instrumental in Nvidia's rise to prominence in the GPU and AI sectors.

๐Ÿ’กDigital Twins

Digital twins are virtual models of physical objects or systems that are used to analyze and predict the behavior of their real-world counterparts. The video mentions how surgeons are using digital twins of patients to practice surgeries, illustrating the integration of AI and technology in medical procedures.

๐Ÿ’กMetaverse

The metaverse is a collective virtual shared space, created by the convergence of virtually enhanced physical reality and physically persistent virtual reality. The script suggests that the metaverse, whenever it becomes a reality, will be powered by Nvidia GPUs, highlighting the company's potential role in future digital landscapes.

๐Ÿ’กGreen With Envy

This phrase is used in the script to describe Nvidia's marketing slogan for their GeForce 8 series graphics cards. It reflects the company's competitive edge and the desirability of their products, playing on the word 'Envy' from their brand name.

๐Ÿ’กInvidia

Invidia is the Latin word for 'envy' and is also the name of an ancient Roman goddess representing envy. The video script explains that the name Nvidia was derived from this term, signifying the company's intention to create products that others would envy, and it is linked to their green-eyed logo and branding.

Highlights

Nvidia became the most valuable company in the world on June 18th, 2024, with a market cap of $3.34 trillion.

Nvidia's value could buy the highest-grossing media franchise, Pokรฉmon, 36 times over.

Nvidia's success is not just due to high-end PC graphics cards but also their strategic moves in the tech industry.

Nvidia was founded in 1993 by Jensen Huang, who started as a waiter's assistant and later worked at AMD.

The name 'Nvidia' comes from the Latin word 'Invidia', symbolizing envy, reflecting the company's goal to create products that others would envy.

Nvidia revolutionized gaming with the release of the GeForce 256, the first GPU designed for parallel processing in graphics rendering.

Nvidia's GPUs have been consistently outselling their rivals, with a significant lead over AMD.

Nvidia's growth was significantly boosted by their bet on AI and the release of CUDA in 2006.

CUDA allowed developers to harness the full power of Nvidia GPUs for non-graphics tasks, making them a standard tool in various industries.

Nvidia's GPUs became the go-to choice for building and training AI models due to their efficiency and CUDA's widespread adoption.

Tesla is using Nvidia GPUs to improve their self-driving technology in a supercomputer cluster at their Texas gigafactory.

Nvidia's technology powers Amazon Web Services, which provides infrastructure for a significant portion of the cloud-based internet.

Nvidia's stock underwent a 10:1 split in June 2024, making shares more affordable and accessible for new investors.

Despite market corrections, Nvidia remains a key player in the AI industry and the digital transformation of various sectors.

Nvidia's GPUs are integral to the development of AI, from medical research to self-driving cars and digital entertainment.

The Opera browser's Arya AI and Tab Islands feature enhances user experience with AI integration and tab organization.

Tab Emojis in Opera browser allow for better tab differentiation and organization, improving the browsing experience.

Transcripts

play00:00

on the 18th of June 2024 Nvidia became

play00:02

the most valuable company in the world

play00:04

at $ 3.34 trillion they overtook

play00:07

Microsoft Apple Samsung alphabet it's

play00:09

hard to stress just how big of a deal

play00:11

this is I mean Pokรฉmon you know the

play00:13

highest grossing media franchise in the

play00:14

world this could buy that company 36

play00:17

times and we know Nvidia you might even

play00:20

be watching this video using one of

play00:22

their graphics cards in your PC but

play00:24

we're talking a company that overtook

play00:26

Apple you know the guys who managed to

play00:27

sell luxury smartphones to like a third

play00:29

of the world population you don't beat

play00:31

that just with some high-end PC graphics

play00:34

cards so what on Earth have a media done

play00:36

to a get themselves to a position where

play00:39

they could even dream of overtaking all

play00:41

the other big tech companies and B

play00:43

actually overtake them and one thing

play00:45

that I need to make super clear which

play00:46

makes this all the more surprising is

play00:47

that Nvidia only started in 1993 which

play00:50

is recent enough that the guy who is now

play00:53

CEO Jensen hang he was the same guy who

play00:55

founded the company along with two other

play00:57

guys Jensen used to work as a waiter's

play00:59

assistant in a local Denny's Dino when

play01:01

he was younger he fell in love with

play01:02

computer science and So eventually went

play01:04

from there to getting his dream job

play01:05

working with AMD one of the leaders at

play01:07

the time as a microprocessor designer

play01:09

until one day when he decided I got an

play01:12

idea Jensen basically realized the key

play01:14

thing that was holding PCS back from

play01:16

unparalleled performance which I'm

play01:18

getting to so he booked a table all the

play01:20

way back where it began at a Denny's

play01:22

diner with these two other guys and that

play01:24

is famously where they hatched the plan

play01:26

to form Nvidia there's literally a

play01:27

plaque on the wall where that meeting

play01:29

happened but in video didn't have its

play01:31

name at this point do you know where

play01:32

that came from well most of the guy's

play01:34

files documenting their plans about this

play01:36

future company had been pretty

play01:38

uncreative named next version so when

play01:41

they decided that we're actually doing

play01:43

this they looked up words that included

play01:44

Envy in that order and they found the

play01:47

Latin word Invidia which is the name of

play01:48

an ancient Roman goddess Invidia was the

play01:51

personification of Envy a pretty

play01:53

unpleasant lady with a poison tongue and

play01:55

green eyes thus the name Nvidia was born

play01:58

so the brand name basically means next

play02:00

version Envy kind of saying you're going

play02:02

to be so jealous of our next chip and

play02:05

now that you know where the Greene Eye

play02:06

logo comes from you too will no longer

play02:09

be able to see it without also seeing

play02:11

this haunting image alongside it so

play02:13

you're welcome and now that you know you

play02:15

will see this origin all across their

play02:17

branding too like the slogan for the

play02:19

GeForce 8 series graphics cards was

play02:21

Green With Envy and the company's

play02:23

highest n gpus for a long time they were

play02:25

called Titans and this Nvidia was

play02:28

believed by some ancient Greeks to be

play02:30

the daughter of a Titan so it all LS

play02:32

together but what actually made Nvidia

play02:34

different what was this big idea that

play02:36

they were getting together for well in

play02:38

1999 Nvidia released the GeForce 256 the

play02:41

first chip ever to be marketed as a

play02:44

graphics Processing Unit or GPU a piece

play02:47

of Hardware that could sit alongside

play02:48

your CPU which at this time could only

play02:50

process one calculation at a time and

play02:52

take on the graphics rendering load

play02:54

while you're gaming using far more

play02:55

efficient parallel processing it was

play02:57

designed to divide big tasks that would

play02:59

previously be done very slowly into

play03:01

smaller parts and then distribute those

play03:03

parts amongst many many small process of

play03:06

CES which in turn freed up people's

play03:08

actual CPUs to focus on things like

play03:10

in-game physics the concept of the GPU

play03:12

quickly caught on in both PC and console

play03:14

gaming which pretty much revolutionized

play03:16

gaming and very quickly turned Nvidia

play03:18

into a household name and Nvidia has

play03:21

absolutely killed it with gpus ever

play03:23

since then um fun fact actually this is

play03:25

the graphics card I installed on the

play03:27

first ever PC I built every couple of

play03:29

years they come on stage they've

play03:30

announced a new generation of graphics

play03:32

cards and they've been so successful at

play03:34

making each one a leap above the last

play03:35

that they're now out selling their

play03:37

traditional rival AMD you know the

play03:39

company who Jensen originally got his

play03:40

dream job working at to a ridiculous

play03:42

extent with nvidia's first quarter

play03:44

Revenue this year at $26 billion

play03:47

compared to amd's well measly 5.5

play03:50

billion but they didn't get as big as

play03:52

they are today just by coasting on GPU

play03:55

sales here's the rocket fuel that made

play03:57

their growth just explode Nvidia made a

play04:00

huge bet on AI in 2006 Nvidia released

play04:03

Cuda compute unified device architecture

play04:06

which they could have done a better job

play04:08

naming for something that's actually a

play04:10

bit of a game changer it was a software

play04:12

platform that allowed the developers of

play04:14

apps to properly utilize the full power

play04:16

of Nvidia gpus even for non-g graphics

play04:19

tasks developers could take tasks that

play04:21

would usually be performed one by one on

play04:22

the CPU course and instead just like

play04:24

they've been able to do with games on

play04:26

Nvidia gpus split those tasks up and

play04:28

perform parallel processing using the

play04:30

thousands of GPU calls they now had

play04:32

access to this was a big moment for apps

play04:35

it made nvidia's graphics cards the tool

play04:37

for much more than just gaming they

play04:39

became the gold standard for video

play04:41

editors for financial modelers

play04:42

cryptocurrency miners anyone who wanted

play04:44

to do anything with a computer and most

play04:47

importantly for any company wanting to

play04:49

build and train a big powerful AI model

play04:51

how do you do that not on CPUs which are

play04:54

doing things one step at a time but

play04:55

instead by harnessing the full power of

play04:57

a GPU and which GP are you most likely

play05:00

going to pick Nvidia Nvidia being the

play05:03

first company to unlock the full

play05:05

computational power of the GPU for the

play05:06

average developer meant that their Cuda

play05:08

software became the default option

play05:10

developers got comfy with it it improved

play05:12

very quickly and because this Cuda

play05:14

programming environment was built

play05:16

specifically around nvidia's Graphics

play05:18

chips it was super efficient it's very

play05:20

similar to how efficient iPhones are

play05:22

because every thread of that iOS

play05:24

software is designed around every

play05:26

fragment of the iPhone hardware and with

play05:28

this by being very forward Thinking by

play05:30

working with other tech companies on AI

play05:32

for literally the last two decades

play05:33

Nvidia became embedded into the very

play05:36

fabric of artificial intelligence

play05:37

whether it's researchers wanting to run

play05:39

complex simulations to figure out what

play05:41

proteins could potentially cure major

play05:43

diseases or Tesla wanting to train

play05:45

algorithms for their self-driving cars

play05:47

Nvidia became the crutch to lenon

play05:49

literally right now Tesla is nearing

play05:51

completion on a supercomputer cluster at

play05:54

their Texas gigafactory which is

play05:55

supposed to improve Tesla's full

play05:57

self-driving using $50,000 Nvidia gpus

play06:00

and a sub to the channel would be GP

play06:05

youtiful that also could have been

play06:07

better and so when AI development

play06:09

exploded over the last couple of years

play06:10

with every single person and their dog

play06:12

now having access to tools like chat gbt

play06:15

Gemini and more what's running all of

play06:17

that when we ask for an image of a

play06:18

robotic Flamingo doing rolly poy on the

play06:21

moon what's processing that AI request

play06:24

yes Nvidia but another crazy bit of

play06:26

context nvidia's Tech is also what

play06:28

powers Amazon web services which is the

play06:30

world's most broadly adopted web

play06:32

services provider they're the company

play06:34

who builds the infrastructure for

play06:36

basically 30% of the cloud-based

play06:38

internet so the chances are pretty high

play06:40

that anytime you visit a website there

play06:42

is NVIDIA Tech somewhere along the

play06:43

pipeline that's bringing it to you so

play06:45

that explains the first part of this

play06:47

puzzle how Nvidia became the sole arms

play06:49

dealer of the chips required for the now

play06:51

massive AI industry arms race but how

play06:54

did they go one step further to actually

play06:56

overtake every single other tech company

play06:59

in June well they decided to do a 10:1

play07:02

stock split and to find out what that is

play07:04

I can just ask the Arya AI baked into

play07:06

the Opera browser explain to me a 10:1

play07:09

stock split in two sentences with an

play07:11

example right so a 10 to1 stock split

play07:13

means that each existing share of a

play07:15

stock is divided into 10 new shares and

play07:18

then it gives an example to say that if

play07:19

you owned 100 shares of a company and

play07:21

they did a 10 to1 stock split you would

play07:23

now have a th000 shares in your

play07:24

possession but the total value of your

play07:26

investment is the same because it's just

play07:28

that now each individual share is worth

play07:30

a tenth of what it used to be why does

play07:31

that matter well it means that for new

play07:33

investors Nvidia shares have just gotten

play07:36

10 times more affordable so it makes

play07:38

investing in this company much more

play07:40

accessible at a time where the entire

play07:42

world is looking for some way to invest

play07:44

in AI it became a no-brainer it was

play07:47

explosive as for now and the future

play07:49

while Nvidia has been hit with a pretty

play07:51

severe Market correction so they backed

play07:53

down into third most valuable company

play07:55

and while there are some question marks

play07:57

around AI like is it being over valued

play07:59

in the same way that the dotom bubble

play08:01

was and can the world sustain it cuz you

play08:04

know there was a recent study that

play08:05

showed that at the current rate of

play08:06

growth our AI needs alone will consume

play08:09

the amount of power of an entire country

play08:11

the size of the Netherlands but even

play08:12

then now that the AI cat is out the bag

play08:15

it doesn't look like AI is going

play08:16

anywhere and even if it does there's no

play08:18

changing that the world is going digital

play08:20

movies are now being made using game

play08:22

engine Graphics surgeons are now honing

play08:25

their craft using digital twins of

play08:26

patients before operating on the real

play08:28

thing the metav if that ever comes to

play08:30

fruition it's all being powered by

play08:32

Nvidia gpus so that's how Nvidia got to

play08:35

the crazy position that they're

play08:37

currently in and by the way Arya isn't

play08:39

even the most fun thing about the Opera

play08:41

browser anymore so you've seen how tab

play08:43

Islands can help you group together all

play08:44

of your tasks into buckets so they're

play08:46

organized but now you can hover over any

play08:48

Tab and add a tab Emoji too why well

play08:51

aside from a delightful Touch of

play08:53

customization I've had two benefits from

play08:55

this one that every time I have two

play08:57

similar tabs open this allows me to

play08:59

differentiate them instead of

play09:00

persistently gaslighting myself into

play09:02

opening the wrong one every time but

play09:04

also when you're browsing you tend to

play09:05

have one or two key tabs like for me

play09:07

it's the document I'm compiling all of

play09:09

my research into and tab emojis mean

play09:11

that even if you've got like 40 things

play09:13

open at once I always know to return to

play09:15

my cooking Emoji so give it a go using

play09:17

my link in the description

Rate This
โ˜…
โ˜…
โ˜…
โ˜…
โ˜…

5.0 / 5 (0 votes)

Related Tags
NvidiaGPUsArtificial IntelligenceTech InnovationStock SplitAI IndustryGaming RevolutionCuda PlatformMarket LeaderDigital Transformation