OH NO 😱 Glad I sold all my NVIDIA STOCKS 🤬 YOU GUYS WERE RIGHT 😏 - NVIDIA IS BEING ADDED TO DOW JONES 📈
I SHOULD HAVE LISTENED 🤦🏽♂️
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…Oh wait you weren’t right… and I’m glad I’ve had $NVIDIA (NVDA.US)$ and $Bitcoin (BTC.CC)$ for years 😎🏝
Never listen to People who don’t have the Lifestyle You Want 🤷🏽♂️
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A new era of AI 🤖 could be just around the corner. As the market eagerly awaits earnings from artificial intelligence (AI) powerhouse $NVIDIA (NVDA.US)$ (NVDA -0.84%), investors will be happy to hear that the company's CEO, Jensen Huang, has announced a new partnership with $LENOVO GROUP LTD (LNVGY.US)$ that will accelerate sales in a key area: enterprise. Per Motley Fool 🤡 Nov 8, 2024
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Jensen leaves everyone speechless 😶
- YouTube NVDA
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Jensen speeding up telecoms networks for 5G ☝🏽 Buy the CEO 👨🏻💼
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• Why is $NVIDIA (NVDA.US)$ on track to reach a new record high closing price⁉️
• $Alphabet-A (GOOGL.US)$ ordered 400K GB200 chips valued at $10B.
• $Microsoft (MSFT.US)$ purchased 60K GB200 chips worth $2B.
• $Meta Platforms (META.US)$ acquired 360K GB200 chips for $8B.
Demand for Nvidia's Blackwell chip is absolutely INSANE 🤩
• $Alphabet-A (GOOGL.US)$ ordered 400K GB200 chips valued at $10B.
• $Microsoft (MSFT.US)$ purchased 60K GB200 chips worth $2B.
• $Meta Platforms (META.US)$ acquired 360K GB200 chips for $8B.
Demand for Nvidia's Blackwell chip is absolutely INSANE 🤩
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$NVIDIA (NVDA.US)$ 76% of NVDA EMPLOYEES ARE MILLIONAIRES OR MULTIMILLIONAIRES - stock options
That’s never been seen before not even at Apple 🍎. This company is going all the way to 10 trillion’.
It’s a MONSTER not just a gorilla 🦍
This could be King Kong 🦍 not 900 pound more like 9000 kilos ⚖️
That’s never been seen before not even at Apple 🍎. This company is going all the way to 10 trillion’.
It’s a MONSTER not just a gorilla 🦍
This could be King Kong 🦍 not 900 pound more like 9000 kilos ⚖️
$NVIDIA (NVDA.US)$ Growth Prospects Over the Next 12 Months
Nvidia is positioned for significant growth over the next year, driven by several key factors:
1. Strong Position in AI and Data Centers: Nvidia is expected to leverage its robust portfolio in AI chips and data center solutions. This strategic focus is anticipated to drive substantial revenue growth, as the demand for AI technologies continues to surge.
2. Revenue Projections: Wall Street analysts project that Nvidia's sales will increase significantly. The company reported sales of $45 billion in the last 12 months, and it is expected to reach $59.16 billion in fiscal 2024 and $94.46 billion in fiscal 2025. This growth trajectory underscores Nvidia's expanding influence in the tech industry.
3. Market Valuation and Stock Performance: Nvidia's stock is trading at a premium, reflecting high investor expectations. It is valued at 35 times forward earnings, which is significantly higher than the S&P 500 average of 21 times forward earnings. This premium valuation suggests that investors are optimistic about Nvidia's future growth prospects.
4. Operating Expenses and Financial Management: Nvidia's operating expenses are projected to grow in the mid- to upper-40% range for the full year. This increase in expenses is likely tied to investments in research and development, as well as scaling operations to meet growing demand.
5. Challenges and Market Dynamics: Despite the positive outlook, Nvidia faces potential challenges, including maintaining its competitive edge in the rapidly evolving AI market and managing its high valuation. However, the company's strategic investments and market leadership position it well to navigate these challenges.
Overall, Nvidia's growth over the next 12 months is expected to be driven by its leadership in AI and data center markets, strong revenue growth projections, and strategic financial management.
Nvidia is positioned for significant growth over the next year, driven by several key factors:
1. Strong Position in AI and Data Centers: Nvidia is expected to leverage its robust portfolio in AI chips and data center solutions. This strategic focus is anticipated to drive substantial revenue growth, as the demand for AI technologies continues to surge.
2. Revenue Projections: Wall Street analysts project that Nvidia's sales will increase significantly. The company reported sales of $45 billion in the last 12 months, and it is expected to reach $59.16 billion in fiscal 2024 and $94.46 billion in fiscal 2025. This growth trajectory underscores Nvidia's expanding influence in the tech industry.
3. Market Valuation and Stock Performance: Nvidia's stock is trading at a premium, reflecting high investor expectations. It is valued at 35 times forward earnings, which is significantly higher than the S&P 500 average of 21 times forward earnings. This premium valuation suggests that investors are optimistic about Nvidia's future growth prospects.
4. Operating Expenses and Financial Management: Nvidia's operating expenses are projected to grow in the mid- to upper-40% range for the full year. This increase in expenses is likely tied to investments in research and development, as well as scaling operations to meet growing demand.
5. Challenges and Market Dynamics: Despite the positive outlook, Nvidia faces potential challenges, including maintaining its competitive edge in the rapidly evolving AI market and managing its high valuation. However, the company's strategic investments and market leadership position it well to navigate these challenges.
Overall, Nvidia's growth over the next 12 months is expected to be driven by its leadership in AI and data center markets, strong revenue growth projections, and strategic financial management.
Nvidia Surpasses Apple to Become World’s Largest Company
Most don’t know this:
Nvidia has never been beaten by high end graphics in computer gaming. We’re talking since 1999 25 years‼️ no company not AMD or any beat nvidia in high end gaming. What do you think that means⁉️
It means no other company is going to beat them In graphics or ai. So think about that. This stock I think going to 200 or better after earnings report. How many companies you know that’s never been beaten before in 25 years⁉️ That tells you something…
Most don’t know this:
Nvidia has never been beaten by high end graphics in computer gaming. We’re talking since 1999 25 years‼️ no company not AMD or any beat nvidia in high end gaming. What do you think that means⁉️
It means no other company is going to beat them In graphics or ai. So think about that. This stock I think going to 200 or better after earnings report. How many companies you know that’s never been beaten before in 25 years⁉️ That tells you something…
Let’s GOOO 🚀🌙
• Nvidia is joining the storied Dow Jones Industrial Average.
We learned on Friday the chipmaker would be added to the blue-chip index, ending months of speculation that began in May when Nvidia split its stock 10-to-1.
We learned on Friday the chipmaker would be added to the blue-chip index, ending months of speculation that began in May when Nvidia split its stock 10-to-1.
• Extra Credit:
$NVIDIA (NVDA.US)$ is a company with so many sub categories and divisions . It’s constantly evolving… It’s a chip company! But with so much more underlying.
I don’t think we quite know the complete extent of its impact on the world 🌍 But for sure 👌🏽 it’s going to be massive 🤯
NVIDIA is being added to the Dow Jones Industrial Average.
NVIDIA ($NVDA) was trading at a P/E ratio of 64 with a stock price of $15 in 2021. In 2024, NVIDIA is still at a P/E of 64, but the stock price has risen to $142.
This highlights how a stock can appear expensive based on valuation metrics like P/E, yet still not be overvalued if the company’s growth potential justifies the price.
Looking back, it’s clear that NVIDIA was not overvalued at $15 in 2021, despite its high P/E ratio. Since then, it has increased tenfold, proving that while it seemed expensive, it was a valuable investment.
It required a vision to see beyond the numbers in 2021, to recognize NVIDIA’s potential and the impact its GPUs would have on the world.
i see a lot of upside
Blackwell is Nvidia's next-gen chip going into scale production this quarter. Many investors were concerned about pushouts. But instead, production is on track, and demand is off the charts.
Blackwell comes in a single configuration (contains two GPUs), which can go into existing data centers, or in large configurations like the GB200 NVL72, which packs 72 Blackwell chips (equivalent to 144 H100s).
One of these "chips" sells for ~$3M and contains ~2 miles of cables costing $100K just in cabling alone.
What we learned...
Earlier this month, Foxconn's CEO said that demand for Blackwell is "crazy" - adding a new facility in Mexico to satisfy Blackwell orders.
These comments came right after Nvidia's CEO, Jensen Huang, stated that production is on track and demand for Blackwell is "insane."
In addition, an important event took place two weeks ago — the Open Compute Project (OCP)— where data center companies showcased their latest and greatest products. The key takeaway from this event was that everyone wants the GB200 NVL72. Positive for content, margins, and the rest of the value chain.
Microsoft (NASDAQ:MSFT) announced that Azure is the first cloud service to run the Blackwell system GB200 and reportedly increased its orders from 300–500 racks (mainly NVL36) to about 1,400–1,500 racks (about 70% NVL72), 5x increase. Subsequent Microsoft orders will primarily focus on NVL72. While this is unconfirmed, it is in-line with what we heard at OCP.
On the volume side, TSMC (NYSE:TSM) just reported earnings and implied that they are doubling their packaging capacity from 40K/month to 80-100K/month exiting '25. In terms of GPU capacity, this implies that Blackwell should be exiting the year at 2M units/quarter.
And here is the best part, according to comments from the CEO, Blackwell is now "sold out"!
This is great news for Nvidia but also very positive for the rest of the value chain, including networking plays: connectors, cables, switches, interconnects, etc.
Nvidia, the GB200 NVL 72 is important because it is margin accretive as it contains many Nvidia networking products).
While Hopper (the prior generation GPU) took Nvidia 's Data Center revenues from $20B to >$100B, Blackwell has the potential to take it above $200B.
AI BOOM 💥
While $NVIDIA (NVDA.US)$ dominates semiconductor headlines during the AI boom, several other companies also hold monopolistic positions in the evolving digital economy -- here's a cheat sheet of the top 10 👇
1. $ASML Holding (ASML.US)$ | ASML Holding
• They hold a monopoly in lithography machines, which are essential for enabling the mass production of ultra-small, efficient chips crucial for AI applications. Their technology is foundational in pushing the boundaries of miniaturization and performance in semiconductor manufacturing.
2. $Taiwan Semiconductor (TSM.US)$ | Taiwan Semiconductor Manufacturing
• They remain the world’s largest dedicated independent semiconductor foundry, with unmatched capabilities in manufacturing advanced chips that are crucial for AI technologies. They are the only manufacturer with sufficiently advanced technology to produce the most sophisticated AI chips.
3. $KLA Corp (KLAC.US)$ | KLA Corporation
• They specialize in process control and yield management solutions. Their equipment and services are essential for the semiconductor manufacturing industry, ensuring the production of high-quality chip performance at micro and nano-levels, which is critical for the reliable operation of AI systems.
4. $Applied Materials (AMAT.US)$ | Applied Materials
• They excel in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Their innovations in metal deposition and etch systems are essential for creating smaller, faster, and more reliable electronic devices needed in AI applications.
5. $Lam Research (LRCX.US)$ | Lam Research
• They are pivotal in the semiconductor fabrication process, providing advanced wafer fabrication equipment and services. Their technology is crucial for the production of highly sophisticated semiconductor devices, making them indispensable for manufacturers aiming to meet the increasing demands for more powerful and efficient AI chips.
6. $Micron Technology (MU.US)$ | Micron
• They are leaders in providing memory and storage solutions crucial for AI data processing. Their competitive advantage comes from their cutting-edge DRAM and NAND technologies, which significantly enhance the speed and capacity of AI systems.
7. $Broadcom (AVGO.US)$ | Broadcom
• Their range of semiconductor devices supports data center networking and broadband capabilities, crucial for AI ecosystems. Their broad product line and innovation in 5G technology position them as a key infrastructure provider in the rapidly expanding AI market.
8. $Qualcomm (QCOM.US)$ | Qualcomm
• They have a near-monopoly in mobile phone chips and is now integrating AI into its Snapdragon processors. This positions Qualcomm at the forefront of AI applications in mobile devices, enabling advanced features like natural language processing and on-device AI models.
9. $Marvell Technology (MRVL.US)$ | Marvell Technology
• Their technology excels in creating solutions that enhance data center performance and capacity, critical for AI data handling. Their specialized chipsets for cloud and enterprise applications position them as leaders in the data infrastructure market.
10. $Texas Instruments (TXN.US)$ | Texas Instruments
• They specialize in analog ICs and embedded processors, used extensively in automated applications and smart devices, pivotal for modern industrial applications.
1. $ASML Holding (ASML.US)$ | ASML Holding
• They hold a monopoly in lithography machines, which are essential for enabling the mass production of ultra-small, efficient chips crucial for AI applications. Their technology is foundational in pushing the boundaries of miniaturization and performance in semiconductor manufacturing.
2. $Taiwan Semiconductor (TSM.US)$ | Taiwan Semiconductor Manufacturing
• They remain the world’s largest dedicated independent semiconductor foundry, with unmatched capabilities in manufacturing advanced chips that are crucial for AI technologies. They are the only manufacturer with sufficiently advanced technology to produce the most sophisticated AI chips.
3. $KLA Corp (KLAC.US)$ | KLA Corporation
• They specialize in process control and yield management solutions. Their equipment and services are essential for the semiconductor manufacturing industry, ensuring the production of high-quality chip performance at micro and nano-levels, which is critical for the reliable operation of AI systems.
4. $Applied Materials (AMAT.US)$ | Applied Materials
• They excel in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Their innovations in metal deposition and etch systems are essential for creating smaller, faster, and more reliable electronic devices needed in AI applications.
5. $Lam Research (LRCX.US)$ | Lam Research
• They are pivotal in the semiconductor fabrication process, providing advanced wafer fabrication equipment and services. Their technology is crucial for the production of highly sophisticated semiconductor devices, making them indispensable for manufacturers aiming to meet the increasing demands for more powerful and efficient AI chips.
6. $Micron Technology (MU.US)$ | Micron
• They are leaders in providing memory and storage solutions crucial for AI data processing. Their competitive advantage comes from their cutting-edge DRAM and NAND technologies, which significantly enhance the speed and capacity of AI systems.
7. $Broadcom (AVGO.US)$ | Broadcom
• Their range of semiconductor devices supports data center networking and broadband capabilities, crucial for AI ecosystems. Their broad product line and innovation in 5G technology position them as a key infrastructure provider in the rapidly expanding AI market.
8. $Qualcomm (QCOM.US)$ | Qualcomm
• They have a near-monopoly in mobile phone chips and is now integrating AI into its Snapdragon processors. This positions Qualcomm at the forefront of AI applications in mobile devices, enabling advanced features like natural language processing and on-device AI models.
9. $Marvell Technology (MRVL.US)$ | Marvell Technology
• Their technology excels in creating solutions that enhance data center performance and capacity, critical for AI data handling. Their specialized chipsets for cloud and enterprise applications position them as leaders in the data infrastructure market.
10. $Texas Instruments (TXN.US)$ | Texas Instruments
• They specialize in analog ICs and embedded processors, used extensively in automated applications and smart devices, pivotal for modern industrial applications.
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104790679 : Yeah those who left and sabotage to bring down the price - cannot come back in again please.
EZ_money : stocks go up and down...no need to be a biotch over it
Coach Donnie OP : $NVIDIA (NVDA.US)$ is a company with so many sub categories and divisions . It’s constantly evolving !
But for sure 
it’s going to be massive 
It’s a chip company! But with so much more underlying.
I don’t think we quite know the complete extent of its impact on the world
EZ_money Coach Donnie OP : nice vision
you could have sold it better. what's happening in the pipeline
Coach Donnie OP : It’s so easy to be kind to someone you feel you can get something from or learn from or admire but
You can easily judge the character of a man by how he treats those who can do nothing for him.
Coach Donnie OP : Blackwell is Nvidia's next-gen chip going into scale production this quarter. Many investors were concerned about pushouts. But instead, production is on track, and demand is off the charts.
Blackwell comes in a single configuration (contains two GPUs), which can go into existing data centers, or in large configurations like the GB200 NVL72, which packs 72 Blackwell chips (equivalent to 144 H100s).
One of these "chips" sells for ~$3M and contains ~2 miles of cables costing $100K just in cabling alone.
What we learned...
Earlier this month, Foxconn's CEO said that demand for Blackwell is "crazy" - adding a new facility in Mexico to satisfy Blackwell orders.
These comments came right after Nvidia's CEO, Jensen Huang, stated that production is on track and demand for Blackwell is "insane."
In addition, an important event took place two weeks ago — the Open Compute Project (OCP)— where data center companies showcased their latest and greatest products. The key takeaway from this event was that everyone wants the GB200 NVL72. Positive for content, margins, and the rest of the value chain.
Microsoft (NASDAQ:MSFT) announced that Azure is the first cloud service to run the Blackwell system GB200 and reportedly increased its orders from 300–500 racks (mainly NVL36) to about 1,400–1,500 racks (about 70% NVL72), 5x increase. Subsequent Microsoft orders will primarily focus on NVL72. While this is unconfirmed, it is in-line with what we heard at OCP.
On the volume side, TSMC (NYSE:TSM) just reported earnings and implied that they are doubling their packaging capacity from 40K/month to 80-100K/month exiting '25. In terms of GPU capacity, this implies that Blackwell should be exiting the year at 2M units/quarter…
Nvidia's future Blackwell Ultra GPUs reportedly renamed to the B300 series
Coach Donnie OP : $NVIDIA (NVDA.US)$ is being added to the Dow Jones Industrial Average.
NVIDIA ($NVDA) was trading at a P/E ratio of 64 with a stock price of $15 in 2021.
In 2024, NVIDIA is still at a P/E of 64, but the stock price has risen to $142.
This highlights how a stock can appear expensive based on valuation metrics like P/E, yet still not be overvalued if the company’s growth potential justifies the price.
Looking back, it’s clear that NVIDIA was not overvalued at $15 in 2021, despite its high P/E ratio. Since then, it has increased tenfold, proving that while it seemed expensive, it was a valuable investment.
It required a vision to see beyond the numbers in 2021, to recognize NVIDIA’s potential and the impact its GPUs would have on the world.
i see a lot of upside
Coach Donnie OP : Nvidia To Join Dow Jones Industrial Average, Replacing Intel
Coach Donnie OP : Some people are so poor, all they have is money.
BRINGS MORE TO YOU
Your real wealth can be measured not by what you have, but by what you are.
Wealth is not measured by how much money you have, or how many houses you have, or how many cars you have. Wealth is measured by how much gratitude you have in your heart & how you treat people including those who you don’t like. Money, all material things will be left behind.
A man is rich in proportion to the number of things he can afford to let alone.
Wealth is not possessions its what you can afford to live without.
It is not the man who has too little, but the man who constantly craves more, that is poor.
Wealth consists not in having great possessions, but in having few wants.
Excess wealth should be used to benefit others.
True wealth is not measured by how much money you've got in the bank or how many toys you've got. Some of the happiest people in the world don't have a crying quarter, but they've got all the things that mean a lot to them.
Measure your wealth not by the things you have, but by the things for which you would not take money.
ATTITUDE OF GRATITUDE
APPRECIATE WHAT YOU HAVE WITHOUT IDOLIZING IT AND YOU WILL BE BLESSED WITH MORE
There are those who want a swimming pool in their home, while those who have it barely use it.
Those who have lost a loved one miss them deeply, while others who hold them close often complain about them.
Who doesn't have a partner longs for it, but who has it, sometimes doesn't value it.
He who is hungry would give everything for a plate of food, while he who has plenty complains about the taste.
The one who doesn't have a car dreams it, while the one who has it always looks for a better one.
The key is to be grateful, to stop looking at what we have and to understand that, somewhere, someone would give everything for what you already have and don’t appreciate it
#CoachDonnie
Coach Donnie OP : JUST BECAUSE THE BOAT
ROCKS DOESN'T MEAN IT'S TIME TO JUMP OVERBOARD.
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