Can Nvidia’s Boom Last?

TLDR Business
1 Mar 202410:01

Summary

TLDRThe video examines Nvidia's meteoric stock market rise fueled by AI, making it America's 3rd most valuable company. It provides background on Nvidia's founding and early focus on gaming GPUs. The boom is attributed to Nvidia controlling the AI chip market, providing the best chips, networking, and software. Risks include an AI bust, competitors catching up, and escalating US-China trade tensions. The script also discusses threats to personal data from shady data brokers, promoting incog's services to remove personal information from data broker websites.

Takeaways

  • 😲 Nvidia saw the biggest single day stock gain in Wall Street history recently, making it the 3rd most valuable US company
  • 📈 Nvidia's stock price has risen 600% in the last 18 months fueled by the AI boom
  • 🎮 Nvidia started by making GPUs for video games, but has pivoted to AI chips in recent years
  • ⛏ Nvidia is benefiting from the AI gold rush by selling the shovels - its AI chips and software
  • 👷‍♂️ Nvidia has an effective monopoly in AI chips - controlling over 95% of the specialist AI chip market
  • 🔌 Key to Nvidia's dominance is that it provides the full AI stack - chips, networking and software
  • 🤖 Nvidia's future depends on: 1) AI boom continuing 2) Maintaining its monopoly 3) Outcome of US-China trade war
  • 📉 There is likely some speculative excess in Nvidia's stock price recently
  • 🚀 If AI takes off, Nvidia could become one of the most important companies in the world
  • 🛡 Speaker recommends Incog app to protect personal data from shady data brokers

Q & A

  • When was Nvidia founded and by whom?

    -Nvidia was founded in 1993 by CEO Jensen Huang and two other co-founders in California.

  • What are GPUs and how are they different from CPUs?

    -GPUs (Graphics Processing Units) are specialized processors that break down complex tasks into parallel smaller tasks. This makes them well-suited for graphics rendering. CPUs (Central Processing Units) execute tasks sequentially rather than in parallel.

  • How has cryptocurrency mining impacted Nvidia's business?

    -The rise of cryptocurrencies led to a surge in demand for Nvidia's GPUs for crypto mining, especially for Ethereum. This was great news for Nvidia, but also made the business vulnerable to crypto market volatility.

  • Why are Nvidia's GPUs useful for AI model training?

    -Training neural networks involves massive parallel computation, which is exactly what GPUs are optimized for with their ability to break tasks down and process them simultaneously.

  • What is Nvidia's market share in AI chips?

    -Nvidia has a near monopoly with over 95% market share in specialist AI chips.

  • How does Nvidia maintain its leading position in AI chips?

    -Nvidia provides the best chips, networking solutions, and supporting software like CUDA. This makes it hard for competitors to match them on all fronts.

  • What are the risks to Nvidia sustaining its growth?

    -Key risks are if AI hype fizzles out, competitors catch up, or US-China trade tensions and sanctions further impact sales.

  • What happened with Claude's personal data?

    -Claude had his personal data sold by data brokers. This led to a huge fraudulent loan being taken out in his name.

  • How can incog help protect personal data?

    -Incog proactively reaches out to data brokers to remove personal information and ensures it stays off the market through repeated requests.

  • What discount does the video offer on incog services?

    -The video offers an exclusive 60% off annual plans for incog's data removal services.

Outlines

00:00

📈 Nvidia's Historic Rise Fueled by AI Boom

Paragraph 1 discusses Nvidia's meteoric stock rise over the past 18 months, making it the 3rd most valuable US company. It provides background on Nvidia - founded in 1993, went public in 1999, focused on graphics processing units (GPUs) for video games initially. The recent rise is attributed to surging demand for GPUs for AI model training, as Nvidia controls 95% of the AI chip market.

05:01

😲 Nvidia's Dominant Position in AI Chip Market

Paragraph 2 explains how Nvidia established dominance in AI chips - by providing the best chips, networking hardware and supporting software like CUDA. This creates high barriers to entry. Nvidia's future will depend on sustaining the AI boom, maintaining its monopoly despite rivals, and navigating US-China trade tensions.

Mindmap

Keywords

💡Nvidia

Nvidia is an American technology company that designs graphics processing units (GPUs). Originally focused on GPUs for video games, Nvidia has recently seen huge success due to the rise of AI and demand for its chips to train AI models. The video explores Nvidia's business model, sources of revenue, and whether its astronomical growth can continue.

💡GPU

A graphics processing unit (GPU) is a specialized electronic circuit that rapidly manipulates and alters memory to accelerate the creation of images. The video explains how GPUs are well-suited for parallel processing tasks like training AI models.

💡AI boom

The recent explosion in development and adoption of artificial intelligence (AI) technologies like chatbots and neural networks. This AI boom has massively increased demand for the GPUs and specialty AI chips Nvidia provides to train AI models.

💡training models

The compute-intensive process of feeding neural networks large sets of example data to teach them to perform tasks like image recognition or language processing. The video notes that GPUs excel at this repetitive parallel processing.

💡monopoly

A market with a single dominant seller that can charge higher prices due to lack of competition. The video describes how Nvidia has an effective monopoly on key components like AI chips (95% market share) required for AI model training.

💡trade war

Ongoing economic conflict between the US and China involving reciprocal sanctions and tariffs. The video notes escalating US-China tensions pose a risk to Nvidia, which gets 25% of revenue from China.

💡semiconductors

Essential components like computer chips and GPUs. As just a semiconductor designer relying on external manufacturing, Nvidia must maintain relationships with suppliers like Taiwan Semiconductor Manufacturing Company.

💡crypto

Cryptocurrencies like Bitcoin and Ethereum that experienced volatility bubbles, driving up demand for GPUs suited for crypto mining between 2018-2022, benefiting Nvidia.

💡sanctions

Economic penalties imposed by a government to punish or deter certain behavior. The video discusses export sanctions on advanced semiconductors limiting Nvidia's sales to China, forcing innovative workarounds.

💡competition

Rival companies like AMD and Amazon developing alternative AI chips threatening Nvidia's dominance. However Nvidia currently maintains advantage in software, networking capabilities required alongside the chips.

Highlights

Nvidia was founded in 1993 and went public in 1999, focusing on designing graphics processing units (GPUs)

Until recently, Nvidia's GPUs were mainly used for video games, but they are also well-suited for AI model training

Demand for Nvidia's GPUs skyrocketed in the late 2010s due to the rise of cryptocurrencies and mining

Since the release of ChatGPT in late 2022, demand for Nvidia's GPUs has massively increased for AI model training

Nvidia has a near monopoly on specialist AI chips, controlling over 95% of the market

Nvidia provides the best chips, networking, and software for AI model training

The future of Nvidia depends on: 1) AI boom lasting, 2) Maintaining its monopoly, 3) Outcome of US-China trade war

There is likely some speculation driving Nvidia's stock price, but its fundamentals are strong

If AI is the future, Nvidia could become one of the most important tech companies

Nvidia enjoys a monopoly on AI chips - competitors like AMD struggle to match them

Big tech firms have started making their own AI chips due to Nvidia's high prices

US sanctions on China have reduced Nvidia's sales there, rerouted through Singapore

Escalating US-China trade tensions could make things much harder for Nvidia

There are risks, but Nvidia has an enviable position in a potentially critical industry

Nvidia could end up one of the most important companies if AI is the future

Transcripts

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this video was brought to you by incog

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last week Tech Giant Nvidia saw the

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biggest single day gain in Wall Street

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history making it America's third most

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valuable company fueled by the ongoing

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AI boom nvidia's stock has now risen by

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600% in the last 18 months but its

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parabolic rise does look a bit well

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bubbly so in this video we thought we'd

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take a look at both how Nvidia became

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one of the world's most valuable

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companies and whether this boom can

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really

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last before we start if you haven't

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already please consider subscribing and

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ringing the bell to stay in the loop and

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be notified when we release new videos

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so let's start with a little bit of

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context Nvidia was founded by now CEO

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Jensen hang and two other guys in

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California in 1993 and went public in

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199 9 for most of its first 20 years or

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so Nvidia focused on designing Graphics

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processing units or

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gpus now Nvidia is what's known as a

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fabulous company meaning that it doesn't

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actually manufacture its own chips it

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just designs them and then outsources

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the manufacturing to someone else

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usually the Taiwan semiconductor

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Manufacturing Company anyway until

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relatively recently these gpus were

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mainly used in video games we're not

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going to go into too much detail here

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but the main difference between gpus and

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CPUs is that gpus break down complex

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tasks into thousands of separate tasks

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and then solve them simultaneously and

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in parallel rather than sequentially

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this is obviously a massive

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simplification but this is sort of what

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makes gpus well suited to video games

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where textures lighting and rendering of

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different shapes all have to be done at

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once anyway Nvidia did pretty well off

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this both because the video games

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industry experienced pretty steady

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growth for the past 30 years or so and

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because nvidia's high performance chips

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account for nearly 4 fifths of gaming

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gpus however the company's fortunes

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improved dramatically in the late 2010s

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with the rise of cryptocurrencies that's

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because the enthusiasts quickly realized

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that nvidia's gpus were perfect for

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mining crypto currencies especially

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ethereum and as such demands skyrocketed

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this was obviously great news for NVIDIA

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but it made the business vulnerable to

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crypto related volatility which is why

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nvidia's stock tanked in 2018 and

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2022 however after falling over 60% in

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the year to November 2022 nvidia's stock

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has enjoyed a meteoric and apparently

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Unstoppable Rise by mid 2023 its market

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cap had more than doubled to a trillion

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dollar surpassing both meta and Tesla

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then on February 21st nvidia's

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Blockbuster earnings report where the

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company announced a

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265 jump in revenues pushed it above $2

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trillion making Nvidia the third most

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valuable listed company in the US behind

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only apple and Microsoft but ahead of

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giants like Amazon and alphabet this

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represented a single day gain of

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$277 billion the largest in Wall Street

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history so what explains this

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stratospheric rise well the short answer

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as you might have guessed is AI now

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Nvidia doesn't actually have its own AI

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models or anything like that but the

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company has heeded the well-worn advice

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during a gold rush sell shovels this

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saying was inspired by the California

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Gold Rush where many of the people who

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actually made the most money weren't the

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Prospectors but the people who sold

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shovels to the punters if AI is the

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metaphorical gold then nvidia's chips

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are the shovels essentially while gpus

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are useful for running AI models they're

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especially useful for training the

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models in the first place this is

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basically because the task of training

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neural networks involve tons of

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repetitive smaller tasks which is

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exactly what gpus are good for so since

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the release of chat GPT in late 2022

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Executives have been racing to

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incorporate AI into their businesses and

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that's created massive demand for

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nvidia's gpus NVIDIA is particularly

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well placed here because it has a near

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Monopoly over specialist AI chips

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controlling more than 95% of the market

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this is both because nvidia's chips are

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just really good their computation speed

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has increased a thousandfold in the past

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decade but also because Nvidia don't

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just provide the chips it also provides

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the stuff required to actually use the

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chips first Nvidia provides a software

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called cuda which allows customers to

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fine-tune chip performance and is now

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the industry standard and second Nvidia

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provides the relevant networking

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Services essentially the training of AI

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models requires hundreds if not

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thousands of chips to be used

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simultaneously and these chips have to

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be connected by a network thanks to its

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purchase of networking Giant melanox in

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2019 Nvidia now also controls something

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like 80% of that market too so by

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providing the best chips the best

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networking kit and the best software

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Nvidia has developed a sort of Mo that

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insulates itself from competitors

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because any serious Contender will need

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to beat them on all three the question

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is then can nvidia's boom last well

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there's clearly a speculative element to

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its recent performance in the stock

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market as evidenced by the sheer number

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of options contracts but as we've

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hopefully demonstrated its fundamentals

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are pretty strong nonetheless as we see

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it nvidia's future depends on three

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things firstly it depends on whether the

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AI boom lasts at the moment people are

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pouring insane amount of monies into AI

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in the hopes that it ends up being a

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lucrative World altering technology

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while this is of course understandable

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given the impressive power of stuff like

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chat GPT AI might not turn out to be as

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great as its Advocates claim chatbots

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might Plateau training costs might get

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too high or we might never solve the

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hallucination problem and even if AI

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does continue to improve the amount of

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money slushing around might still

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decrease especially if interest rates go

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up or there's some sort of tech stock

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crash the second thing this all depends

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on is whether Nvidia can maintain its de

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facto Monopoly already nvidia's main

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competitor AMD has produced a chip is

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generally considered to be better than

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nvidia's equivalent and nvidia's Main

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customers big tech companies like

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alphabet Amazon meta and Microsoft have

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got so fed up with paying a monopolistic

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premium for NVIDIA chips that they've

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actually started designing their own

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while nvidia's position looks relatively

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strong in the near future in the long

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term it's definitely not guaranteed and

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it's possible that another firm will

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Leap Frog Nvidia in the same way that

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Nvidia did to Intel thirdly it also

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depends on the Brewing us China trade

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War American sanctions have already

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reduced nvidia's sales in China which

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previously accounted for about 25% of

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Revenue but Nvidia has been able to

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mitigate against this damage by creating

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chips that that fall just under

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America's sanction thresholds and by

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rerouting sales through Singapore where

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Nvidia sales are growing faster than

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anywhere else if however the trade War

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heats up and American sanctions escalate

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this could make things significantly

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more difficult all in all then well

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there's probably a bit of a rational

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exuberance regarding stock price and

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clearly some medium-term risks Nvidia is

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clearly in an enviable position it

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enjoys something nearing a monopoly on

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AI chips and if AI ends up being the

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future defining technology that

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Advocates claim Nvidia could end up with

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one of the most important companies in

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the world clearly though the state of

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the world is plagued by uncertainty and

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risk and while you've been watching this

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video about Nvidia your personal

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information may have been sold or

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published online without you even

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knowing about it even while recording

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videos we constant interrupted by rooc

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calls and if you're wondering why you've

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been getting so many random numbers

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can collect and sell your personal

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