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🎯⚡A NEW ERA OF AI FOR HEDERA AND NVIDIA ⚡🎯
Imagine a future where artificial intelligence does not work alone, but as a team of super-efficient agents capable of managing complex tasks with the precision of a Swiss watch.
This is exactly what NVIDIA announced with the launch of Nemotron 3, an innovative family of open-source AI models designed to revolutionize the development of intelligent systems. Available in three variants – Nano, Super, and Ultra – these models allow developers and companies to choose the perfect balance between speed, cost, and reasoning power, adapting to different needs such as software debugging or synthesizing bulky documents.
The heart of Nemotron 3 beats thanks to a hybrid Mixture-of-Experts (MoE) architecture, which makes the models incredibly efficient at maintaining context over large amounts of data and managing multi-step workflows.
It's not just theory: this technology integrates seamlessly with blockchains like Hedera, thanks to a strategic partnership with ServiceNow, a member of the Hedera Council.
ServiceNow, a leader in business workflow automation, is incorporating Nemotron 3 to create AI agents that combine lightning-fast intelligence with the immutable transparency of Hedera's distributed ledger.
Think about it: AIs solving complex problems in real-time, with auditable logs and a transparent history guaranteed by Hedera's DLT technology.
NVIDIA and ServiceNow promise an acceleration of enterprise automation, with greater reliability and scalability.
For HBAR holders, this is big news: Hedera positions itself at the center of the AI-Web3 convergence, opening doors to revolutionary applications in finance, supply chain, and beyond.
#breakingnews #hedera #NVIDIA #AImodel $HBAR #Web3
Imagine a future where artificial intelligence does not work alone, but as a team of super-efficient agents capable of managing complex tasks with the precision of a Swiss watch.
This is exactly what NVIDIA announced with the launch of Nemotron 3, an innovative family of open-source AI models designed to revolutionize the development of intelligent systems. Available in three variants – Nano, Super, and Ultra – these models allow developers and companies to choose the perfect balance between speed, cost, and reasoning power, adapting to different needs such as software debugging or synthesizing bulky documents.
The heart of Nemotron 3 beats thanks to a hybrid Mixture-of-Experts (MoE) architecture, which makes the models incredibly efficient at maintaining context over large amounts of data and managing multi-step workflows.
It's not just theory: this technology integrates seamlessly with blockchains like Hedera, thanks to a strategic partnership with ServiceNow, a member of the Hedera Council.
ServiceNow, a leader in business workflow automation, is incorporating Nemotron 3 to create AI agents that combine lightning-fast intelligence with the immutable transparency of Hedera's distributed ledger.
Think about it: AIs solving complex problems in real-time, with auditable logs and a transparent history guaranteed by Hedera's DLT technology.
NVIDIA and ServiceNow promise an acceleration of enterprise automation, with greater reliability and scalability.
For HBAR holders, this is big news: Hedera positions itself at the center of the AI-Web3 convergence, opening doors to revolutionary applications in finance, supply chain, and beyond.
#breakingnews #hedera #NVIDIA #AImodel $HBAR #Web3
Just 11 companies are currently valued above $1 trillion,
with #NVIDIA on top at $4.3 trillion.
$BTC $XRP $BNB
#CPIWatch
#BTCVSGOLD
#BinanceBlockchainWeek
#USJobsData
with #NVIDIA on top at $4.3 trillion.
$BTC $XRP $BNB
#CPIWatch
#BTCVSGOLD
#BinanceBlockchainWeek
#USJobsData
Something unusual is happening around a new #NVIDIA -linked project, and that is exactly why it stands out.
A computing network connected to NVIDIA has introduced its own token, yet the market reaction is surprisingly quiet. With less than 12 hours left before the presale ends, there is almost no hype, no loud promotions, and no influencer noise. This is strange, because projects linked with $AI , $GPU power, or NVIDIA usually attract heavy marketing very fast.
Project name: NVIDIA Compute Network
Token: $NVAI
Presale time left: under 12 hours
What makes this project different is the way it communicates. Instead of talking about price growth, quick profits, or fear of missing out, the focus stays on real system details. The material explains how GPU power is shared, how tasks are checked, how rewards are settled on chain, and how the network works at a technical level. It feels more like a system blueprint than a sales pitch.
Projects like this usually have one thing in common. The opportunity window is short. There is time to study and think, but once the presale closes, access often changes or disappears. If a project tied to a company as large as NVIDIA truly gains traction, progress tends to move fast and ecosystems build quickly.
No predictions are being made here. This is simply a reminder. Quiet projects with limited time frames are often the ones people talk about later, wishing they had paid more attention when things were still calm.
A computing network connected to NVIDIA has introduced its own token, yet the market reaction is surprisingly quiet. With less than 12 hours left before the presale ends, there is almost no hype, no loud promotions, and no influencer noise. This is strange, because projects linked with $AI , $GPU power, or NVIDIA usually attract heavy marketing very fast.
Project name: NVIDIA Compute Network
Token: $NVAI
Presale time left: under 12 hours
What makes this project different is the way it communicates. Instead of talking about price growth, quick profits, or fear of missing out, the focus stays on real system details. The material explains how GPU power is shared, how tasks are checked, how rewards are settled on chain, and how the network works at a technical level. It feels more like a system blueprint than a sales pitch.
Projects like this usually have one thing in common. The opportunity window is short. There is time to study and think, but once the presale closes, access often changes or disappears. If a project tied to a company as large as NVIDIA truly gains traction, progress tends to move fast and ecosystems build quickly.
No predictions are being made here. This is simply a reminder. Quiet projects with limited time frames are often the ones people talk about later, wishing they had paid more attention when things were still calm.
MoneyNeedsMe:
They will create a new coin
When money becomes just estimated numbers — priced by markets, analysts, and NVIDIA chipsets 🤖💰
At this scale, wealth stops feeling real.
It’s no longer cash — it’s valuation, expectations, models, and assumptions stacked on top of each other.
@_Ram , We’ll probably never truly understand what this level of money even means. 😄
$BTC $DOGE
#ElonMusk #SpaceX #ViralAiHub #NVIDIA #CryptoThoughts
At this scale, wealth stops feeling real.
It’s no longer cash — it’s valuation, expectations, models, and assumptions stacked on top of each other.
@_Ram , We’ll probably never truly understand what this level of money even means. 😄
$BTC $DOGE
#ElonMusk #SpaceX #ViralAiHub #NVIDIA #CryptoThoughts
_Ram
--
🚨 Elon Musk becomes the first person to exceed a fortune of 600 billion dollars
SpaceX has been valued at 800 billion dollars compared to 400 billion in August.
Musk owns 42% of SpaceX.
- Forbes
SpaceX has been valued at 800 billion dollars compared to 400 billion in August.
Musk owns 42% of SpaceX.
- Forbes
See original
⚡ NVIDIA SPINGE SULL’OPEN AI: SLURM NELL’ECOSISTEMA E NASCE NEMOTRON 3 ⚡
NVIDIA is aggressively strengthening its "open" AI strategy with a dual move: the acquisition of SchedMD, the developer of Slurm, and the launch of the new family of open-source models, Nemotron 3.
Slurm is the most widely used open-source workload manager in supercomputers and AI clusters for scheduling training and inference jobs, and NVIDIA has promised that it will remain vendor-neutral and open source, while integrating it more deeply with its GPUs and Blackwell architectures.
This means that researchers and companies will be able to better orchestrate huge heterogeneous clusters, optimizing throughput and costs for the training of LLMs and generative workloads.
In parallel, Nemotron 3 arrives, a new family of open models designed for advanced AI agents and multi-agent systems.
The line includes the Nano, Super, and Ultra variants, based on a hybrid Mixture-of-Experts architecture that aims to combine high accuracy, long-horizon reasoning, and lower inference costs, ideal for agents cooperating with each other in complex scenarios.
Nemotron 3 is released with training datasets, RL libraries (NeMo Gym, NeMo RL), and open-source evaluators on GitHub and Hugging Face, positioning NVIDIA as a supplier of a complete stack: GPUs, scheduler (Slurm), models (Nemotron), and tools for reinforcement learning.
For the market, the message is clear: NVIDIA wants to dominate not only AI hardware but also the open software infrastructure on which the next agents and "Physical AI" systems will run.
#breakingnews #NVIDIA #ArtificialInteligence
NVIDIA is aggressively strengthening its "open" AI strategy with a dual move: the acquisition of SchedMD, the developer of Slurm, and the launch of the new family of open-source models, Nemotron 3.
Slurm is the most widely used open-source workload manager in supercomputers and AI clusters for scheduling training and inference jobs, and NVIDIA has promised that it will remain vendor-neutral and open source, while integrating it more deeply with its GPUs and Blackwell architectures.
This means that researchers and companies will be able to better orchestrate huge heterogeneous clusters, optimizing throughput and costs for the training of LLMs and generative workloads.
In parallel, Nemotron 3 arrives, a new family of open models designed for advanced AI agents and multi-agent systems.
The line includes the Nano, Super, and Ultra variants, based on a hybrid Mixture-of-Experts architecture that aims to combine high accuracy, long-horizon reasoning, and lower inference costs, ideal for agents cooperating with each other in complex scenarios.
Nemotron 3 is released with training datasets, RL libraries (NeMo Gym, NeMo RL), and open-source evaluators on GitHub and Hugging Face, positioning NVIDIA as a supplier of a complete stack: GPUs, scheduler (Slurm), models (Nemotron), and tools for reinforcement learning.
For the market, the message is clear: NVIDIA wants to dominate not only AI hardware but also the open software infrastructure on which the next agents and "Physical AI" systems will run.
#breakingnews #NVIDIA #ArtificialInteligence
See original
🔥 #NVIDIA MEETING PRESSURE – IS BITCOIN REALLY "IN TROUBLE"?
Nvidia is facing significant inventory and debt pressure due to the cooling AI investment cycle. Some small to medium AI companies have mortgaged digital assets (including BTC) to secure loans, expand infrastructure, and purchase AI chips during the peak phase.
Key points to clarify:
There is no evidence that the entirety or majority of loans for purchasing Nvidia chips are secured by Bitcoin.
The figure of "26 billion USD in BTC collateral" is currently just an estimate circulating on social media and has not been confirmed by on-chain data or credit reports.
So where does the real risk lie?
If the AI cycle slows down dramatically, highly indebted companies will be forced to reduce leverage and sell risky assets (stocks, crypto).
In a worst-case scenario, BTC may face liquidity-driven selling pressure, but it is not necessarily a chain reaction of forced liquidation as rumored.
Impact on Bitcoin
This is a macro risk – liquidity, not an inherent risk of Bitcoin.
It would only occur in the worst-case scenario, when credit tightens significantly and the market turns risk-off en masse.
Conclusion:
Bitcoin may be indirectly affected, but the narrative of "Nvidia crashing pulls BTC down significantly" currently lacks sufficient reliable data. Investors should monitor credit flows, interest rates, and forced selling behavior, rather than panic over rumors.
Hashtag
#Bitcoin
Nvidia is facing significant inventory and debt pressure due to the cooling AI investment cycle. Some small to medium AI companies have mortgaged digital assets (including BTC) to secure loans, expand infrastructure, and purchase AI chips during the peak phase.
Key points to clarify:
There is no evidence that the entirety or majority of loans for purchasing Nvidia chips are secured by Bitcoin.
The figure of "26 billion USD in BTC collateral" is currently just an estimate circulating on social media and has not been confirmed by on-chain data or credit reports.
So where does the real risk lie?
If the AI cycle slows down dramatically, highly indebted companies will be forced to reduce leverage and sell risky assets (stocks, crypto).
In a worst-case scenario, BTC may face liquidity-driven selling pressure, but it is not necessarily a chain reaction of forced liquidation as rumored.
Impact on Bitcoin
This is a macro risk – liquidity, not an inherent risk of Bitcoin.
It would only occur in the worst-case scenario, when credit tightens significantly and the market turns risk-off en masse.
Conclusion:
Bitcoin may be indirectly affected, but the narrative of "Nvidia crashing pulls BTC down significantly" currently lacks sufficient reliable data. Investors should monitor credit flows, interest rates, and forced selling behavior, rather than panic over rumors.
Hashtag
#Bitcoin
NVIDIA Rises ~1.5% in Pre-Market Trading
NVIDIA shares (NVDA) climbed approximately 1.5% in U.S. pre-market trading, according to Jinshi News, extending recent momentum ahead of the regular session.
Pre-market strength often reflects early positioning by institutions, especially around expectations tied to AI demand, data center spending, and broader tech-sector sentiment. While pre-market moves don’t always carry through the full session, they can set the tone for opening volatility and directional bias.
With NVIDIA sitting at the center of the AI and semiconductor narrative, even modest pre-market gains tend to draw market attention — particularly as investors continue to reassess growth exposure across U.S. equities.
#NVIDIA
NVIDIA shares (NVDA) climbed approximately 1.5% in U.S. pre-market trading, according to Jinshi News, extending recent momentum ahead of the regular session.
Pre-market strength often reflects early positioning by institutions, especially around expectations tied to AI demand, data center spending, and broader tech-sector sentiment. While pre-market moves don’t always carry through the full session, they can set the tone for opening volatility and directional bias.
With NVIDIA sitting at the center of the AI and semiconductor narrative, even modest pre-market gains tend to draw market attention — particularly as investors continue to reassess growth exposure across U.S. equities.
#NVIDIA
💰 The Altcoin Season Formula :3 Signals to Watch Before the 100 x Pump
(Introduction and Section I will remain the same)
I. The Liquidity Signal: $BTC Dominance Must Crack...
II. The Narrative Signal: The {Big} Three Sectors (With Catalysts)
Unlike 2021, the current cycle will be highly selective. Capital flows into sectors with the strongest real-world catalyst:
Artificial Intelligence {AI}): Fueled by the upcoming {Nvidia} GTC Conference. This event is the immediate catalyst to shift AI} tokens from speculation to infrastructure focus.
The {Layer} 1 {Contenders}: The recent explosive growth in {Solana}'s ecosystem (Memes, {$DEFI } volume) signals that traders are looking for high-beta alternatives to Ethereum}. Watch for rotation into other high-throughput {L1}'s.
Gaming/Metaverse: Continuous flow of venture capital and high user adoption potential, often leading {Altcoin} pumps.
III. The $ETH } Wake}- {Up} Call...
Conclusion: The formula is simple: {BTC} \{Downtrend} + Strong} \text{Narrative} + ETH} \ {Outperformance} = \text{Altcoin} \ Season}. Prepare your positions now, as the window may close quickly once the signals align.
Which sector do you think will lead the charge: AI or DePIN ?
#altcoinseason #NVIDIA #Solana #CryptoFormula #BTCdominance
I. The Liquidity Signal: $BTC Dominance Must Crack...
II. The Narrative Signal: The {Big} Three Sectors (With Catalysts)
Unlike 2021, the current cycle will be highly selective. Capital flows into sectors with the strongest real-world catalyst:
Artificial Intelligence {AI}): Fueled by the upcoming {Nvidia} GTC Conference. This event is the immediate catalyst to shift AI} tokens from speculation to infrastructure focus.
The {Layer} 1 {Contenders}: The recent explosive growth in {Solana}'s ecosystem (Memes, {$DEFI } volume) signals that traders are looking for high-beta alternatives to Ethereum}. Watch for rotation into other high-throughput {L1}'s.
Gaming/Metaverse: Continuous flow of venture capital and high user adoption potential, often leading {Altcoin} pumps.
III. The $ETH } Wake}- {Up} Call...
Conclusion: The formula is simple: {BTC} \{Downtrend} + Strong} \text{Narrative} + ETH} \ {Outperformance} = \text{Altcoin} \ Season}. Prepare your positions now, as the window may close quickly once the signals align.
Which sector do you think will lead the charge: AI or DePIN ?
#altcoinseason #NVIDIA #Solana #CryptoFormula #BTCdominance
NARRATIVE SHIFT: Why AI Coins Are the {Next} {10x} Opportunity 🚀
With {$BTC } consolidating near {ETF} decisions, capital is rapidly rotating into high-beta narratives. The biggest winner? Artificial Intelligence {(AI)} Crypto Projects.
💡 The Logic: Institutional giants are pouring billions into {AI} infrastructure (Nvidia). The crypto market is simply lagging behind, offering deep value in decentralized {AI} computation and data management. This is a classic Tech-Hype Catch-Up play.
Key Thesis: The upcoming {Nvidia} GTC Conference could trigger the next leg up for {AI} tokens. The focus will shift from simple {hype} to utility and real-world revenue.
ACTIONABLE THOUGHT: If you missed the initial {Memecoin} run, {AI} offers a similar volatility profile but with tangible technology backing.
QUESTION FOR TRADERS: Which {AI} token is best positioned for a {50\%} pump before the {Nvidia} event? Share your top pick!
#aicrypto #NVIDIA #AltcoinSeason #gaming #CryptoNarratives
With {$BTC } consolidating near {ETF} decisions, capital is rapidly rotating into high-beta narratives. The biggest winner? Artificial Intelligence {(AI)} Crypto Projects.
💡 The Logic: Institutional giants are pouring billions into {AI} infrastructure (Nvidia). The crypto market is simply lagging behind, offering deep value in decentralized {AI} computation and data management. This is a classic Tech-Hype Catch-Up play.
Key Thesis: The upcoming {Nvidia} GTC Conference could trigger the next leg up for {AI} tokens. The focus will shift from simple {hype} to utility and real-world revenue.
ACTIONABLE THOUGHT: If you missed the initial {Memecoin} run, {AI} offers a similar volatility profile but with tangible technology backing.
QUESTION FOR TRADERS: Which {AI} token is best positioned for a {50\%} pump before the {Nvidia} event? Share your top pick!
#aicrypto #NVIDIA #AltcoinSeason #gaming #CryptoNarratives
See original
Jensen Huang: AI-synthesized knowledge will account for 90% of the future, humans only need to learn how to 'check the goods'?
In the next two to three years, 90% of new knowledge globally will be synthesized by AI—this statement by NVIDIA CEO Jensen Huang has recently caused a stir in the tech community. This 'leather jacket godfather' stated in the program that generative AI is reaching a turning point, with a speed that is hard to keep up with.
How is AI-synthesized knowledge different from textbooks?
Jensen Huang said that this is essentially no different from learning knowledge from textbooks written by strangers. The key is not who generated it, but whether the content is reliable. Just as students do not blindly trust textbooks, we also need to fact-check and verify the principles of AI outputs. The source is no longer the sole standard for judging authenticity; critical thinking is key.
How is AI-synthesized knowledge different from textbooks?
Jensen Huang said that this is essentially no different from learning knowledge from textbooks written by strangers. The key is not who generated it, but whether the content is reliable. Just as students do not blindly trust textbooks, we also need to fact-check and verify the principles of AI outputs. The source is no longer the sole standard for judging authenticity; critical thinking is key.
See original
🚨 Trump × Nvidia = AI Chips War
Between the ban and the approval, the scene is clear:
⚡ The United States uses AI chips as a geopolitical weapon
⚡ China is pressing, and Nvidia is caught in the middle
⚡ The market translates politics… with sharp fluctuations
📌 Trump bans → then allows under conditions
📌 Taxes, restrictions, exemptions
📌 And the result?
AI + Chips = The future of the global economy
📈 The smart investor doesn't just see news…
They see direction.
#NVIDIA #Trump #AI #Chips #Geopolitics #Crypto #BinanceFeed
Between the ban and the approval, the scene is clear:
⚡ The United States uses AI chips as a geopolitical weapon
⚡ China is pressing, and Nvidia is caught in the middle
⚡ The market translates politics… with sharp fluctuations
📌 Trump bans → then allows under conditions
📌 Taxes, restrictions, exemptions
📌 And the result?
AI + Chips = The future of the global economy
📈 The smart investor doesn't just see news…
They see direction.
#NVIDIA #Trump #AI #Chips #Geopolitics #Crypto #BinanceFeed
⚡ NVIDIA CEO ON BITCOIN:
$BTC $FOLKS
“Bitcoin takes excess energy and stores it as currency, letting you move that energy anywhere.”
A fresh perspective on the crypto energy debate, framing BTC as a transferable energy asset rather than waste.
#Bitcoin
#Energy
#NVIDIA
#CryptoDebateTime
$BTC $FOLKS
“Bitcoin takes excess energy and stores it as currency, letting you move that energy anywhere.”
A fresh perspective on the crypto energy debate, framing BTC as a transferable energy asset rather than waste.
#Bitcoin
#Energy
#NVIDIA
#CryptoDebateTime
See original
Nvidia's $12 Trillion Chip Domination: Are We Ready? 🤯
The global semiconductor market, a colossal $12 trillion empire, is overwhelmingly dominated by Nvidia. This isn't just a market share; it's a strategic chokehold. The key players? Primarily the US, Taiwan, South Korea, and the Netherlands. This concentration of power in a sector so critical to everything from AI to everyday tech is a massive geopolitical and economic story. Understanding this landscape is crucial for anyone looking at the future of tech and its ripple effects across industries.
This is not financial advice.
#Semiconductors #Tech #Nvidia #GlobalEconomy #Innovation 🚀
The global semiconductor market, a colossal $12 trillion empire, is overwhelmingly dominated by Nvidia. This isn't just a market share; it's a strategic chokehold. The key players? Primarily the US, Taiwan, South Korea, and the Netherlands. This concentration of power in a sector so critical to everything from AI to everyday tech is a massive geopolitical and economic story. Understanding this landscape is crucial for anyone looking at the future of tech and its ripple effects across industries.
This is not financial advice.
#Semiconductors #Tech #Nvidia #GlobalEconomy #Innovation 🚀
Nvidia's $12 Trillion Chip Domination: Is This the Next Crypto Play? 🤯
The global semiconductor market, a colossal $12 trillion empire, is overwhelmingly dominated by Nvidia. This isn't just about chips; it's about the very infrastructure powering our digital future. While the US, Taiwan, South Korea, and the Netherlands hold the reins, the ripple effects are felt everywhere, including the crypto space. Keep a close eye on how this tech titan's moves could influence the digital asset landscape.
This is not financial advice.
#Crypto #Nvidia #Semiconductors #Tech
🚀
The global semiconductor market, a colossal $12 trillion empire, is overwhelmingly dominated by Nvidia. This isn't just about chips; it's about the very infrastructure powering our digital future. While the US, Taiwan, South Korea, and the Netherlands hold the reins, the ripple effects are felt everywhere, including the crypto space. Keep a close eye on how this tech titan's moves could influence the digital asset landscape.
This is not financial advice.
#Crypto #Nvidia #Semiconductors #Tech
🚀
See original
⚡ NVIDIA CEO: BITCOIN IS A "STORAGE OF ENERGY" ⚡
The CEO of NVIDIA, Jensen Huang, has redefined the debate on Bitcoin's energy: "Bitcoin takes excess energy and stores it as currency, allowing you to move it anywhere".
With a market cap of 4.46 trillion dollars for NVIDIA, Huang sees proof-of-work not as waste, but as an innovative energy solution.
Renewables produce intermittent surplus; Bitcoin captures it, converts it into globally transferable digital value, stabilizing energy networks.
This perspective shifts the focus: from consumption to intelligent recycling of energy, making BTC a strategic asset for the green economy.
A significant tech endorsement for sustainable mining.
#BreakingCryptoNews #bitcoin #NVIDIA #JensenHuang $BTC
The CEO of NVIDIA, Jensen Huang, has redefined the debate on Bitcoin's energy: "Bitcoin takes excess energy and stores it as currency, allowing you to move it anywhere".
With a market cap of 4.46 trillion dollars for NVIDIA, Huang sees proof-of-work not as waste, but as an innovative energy solution.
Renewables produce intermittent surplus; Bitcoin captures it, converts it into globally transferable digital value, stabilizing energy networks.
This perspective shifts the focus: from consumption to intelligent recycling of energy, making BTC a strategic asset for the green economy.
A significant tech endorsement for sustainable mining.
#BreakingCryptoNews #bitcoin #NVIDIA #JensenHuang $BTC
💼 Vanguard Group’s Mega $6.68T 13F Portfolio – Top 10 Biggest Stakes 📊
Vanguard manages a massive $6,680,000,000,000+ U.S. securities portfolio as part of its global assets under management, which exceeds $10.3 trillion overall.
Top 10 Vanguard Holdings (Q3 2025):
1. 🇺🇸 Nvidia – ~$415B (≈6.21%)
2. 🇺🇸 Microsoft – ~$364B (≈5.44%)
3. 🇺🇸 Apple – ~$356B (≈5.33%)
4. 🇺🇸 Amazon – ~$187B (≈2.79%)
5. 🇺🇸 Broadcom – ~$158B (≈2.36%)
6. 🇺🇸 Meta Platforms – ~$141B (≈2.12%)
7. 🇺🇸 Alphabet (Google) Class A – ~$125B (≈1.88%)
8. 🇺🇸 Tesla – ~$112B (≈1.68%)
9. 🇺🇸 Alphabet (Google) Class C – ~$101B (≈1.51%)
10. 🇺🇸 JPMorgan Chase – ~$84B (≈1.26%)
Vanguard’s largest positions are dominated by mega-cap U.S. tech stocks — with Nvidia, Microsoft, and Apple leading the pack.
These holdings reflect the firm’s broad exposure to key growth engines of the market and help explain why Vanguard remains one of the world’s largest and most influential institutional investors.
#vanguard #nvidia #microsoft #apple #stockmarket #investing #finance
$XRP $SOL $BNB
Vanguard manages a massive $6,680,000,000,000+ U.S. securities portfolio as part of its global assets under management, which exceeds $10.3 trillion overall.
Top 10 Vanguard Holdings (Q3 2025):
1. 🇺🇸 Nvidia – ~$415B (≈6.21%)
2. 🇺🇸 Microsoft – ~$364B (≈5.44%)
3. 🇺🇸 Apple – ~$356B (≈5.33%)
4. 🇺🇸 Amazon – ~$187B (≈2.79%)
5. 🇺🇸 Broadcom – ~$158B (≈2.36%)
6. 🇺🇸 Meta Platforms – ~$141B (≈2.12%)
7. 🇺🇸 Alphabet (Google) Class A – ~$125B (≈1.88%)
8. 🇺🇸 Tesla – ~$112B (≈1.68%)
9. 🇺🇸 Alphabet (Google) Class C – ~$101B (≈1.51%)
10. 🇺🇸 JPMorgan Chase – ~$84B (≈1.26%)
Vanguard’s largest positions are dominated by mega-cap U.S. tech stocks — with Nvidia, Microsoft, and Apple leading the pack.
These holdings reflect the firm’s broad exposure to key growth engines of the market and help explain why Vanguard remains one of the world’s largest and most influential institutional investors.
#vanguard #nvidia #microsoft #apple #stockmarket #investing #finance
$XRP $SOL $BNB
See original
The corporation #Nvidia developed a technology for checking the location of its processors.
The function was introduced privately and will be offered to clients as an option. The tool uses "confidential computing capabilities of graphics processing units (GPUs)".
The software is designed to allow "tracking the overall performance of the chip" — this is supposedly standard practice among companies that buy processors in bulk for large data centers.
The location of the semiconductors is determined by analyzing the time delay during data exchange with Nvidia servers. The corporation plans to make the software open source so that it can be studied by third-party researchers.
@Nvidia emphasized that "there are no features that allow the company to remotely control registered systems or take action regarding them." Telemetry data is available for reading only.
The function will first appear on new chips #blackwiil . The option of adding it to other generations of semiconductors is being studied.
The function was introduced privately and will be offered to clients as an option. The tool uses "confidential computing capabilities of graphics processing units (GPUs)".
The software is designed to allow "tracking the overall performance of the chip" — this is supposedly standard practice among companies that buy processors in bulk for large data centers.
The location of the semiconductors is determined by analyzing the time delay during data exchange with Nvidia servers. The corporation plans to make the software open source so that it can be studied by third-party researchers.
@Nvidia emphasized that "there are no features that allow the company to remotely control registered systems or take action regarding them." Telemetry data is available for reading only.
The function will first appear on new chips #blackwiil . The option of adding it to other generations of semiconductors is being studied.
AI Stocks Teetering on the Brink? 🚨
The market's AI obsession might be hitting a wall. Whispers of risk are growing louder, and Oracle is at the center of it all. With a staggering 450% debt-to-equity ratio and management failing to instill confidence in debt repayment, investors are hitting the panic button. Oracle plunged over 11%, SoftBank cratered more than 17%, and even NVIDIA felt the heat. Both Oracle and SoftBank are heavily exposed to OpenAI and NVIDIA, and their Credit Default Swaps are soaring. SoftBank's situation is being called the "canary in the coal mine" for the entire AI sector. This isn't just a blip; it's a crucial market reassessment of AI's rapid ascent.
This is not financial advice.
#Aİ #Crypto #MarketAnalysis #NVIDIA #SoftBank 📉
The market's AI obsession might be hitting a wall. Whispers of risk are growing louder, and Oracle is at the center of it all. With a staggering 450% debt-to-equity ratio and management failing to instill confidence in debt repayment, investors are hitting the panic button. Oracle plunged over 11%, SoftBank cratered more than 17%, and even NVIDIA felt the heat. Both Oracle and SoftBank are heavily exposed to OpenAI and NVIDIA, and their Credit Default Swaps are soaring. SoftBank's situation is being called the "canary in the coal mine" for the entire AI sector. This isn't just a blip; it's a crucial market reassessment of AI's rapid ascent.
This is not financial advice.
#Aİ #Crypto #MarketAnalysis #NVIDIA #SoftBank 📉
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