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🚨 HUGE: Google eyes custom AI chips with Marvell Technology 🤖 What is happening? $PEPE • Google in talks to build new AI inference chips • Focus on serving models efficiently at scale (post-training) $ENJ • Partnership with Marvell for design/manufacturing support $SUI • Reported by The Information What this suggests: • Big Tech moving toward vertical integration in AI hardware • Shift from training → inference optimization (cost + scale) • Increasing competition with NVIDIA Context: • Inference = where real revenue happens (serving AI to users) • Custom chips can drastically reduce costs vs general GPUs 📊 Market takeaway: Bullish for AI infrastructure, but competitive pressure rising. NVIDIA remains dominant—but hyperscalers building their own chips could reshape margins and market share over time. #Google #AI #Nvidia's
🚨 HUGE: Google eyes custom AI chips with Marvell Technology 🤖
What is happening? $PEPE
• Google in talks to build new AI inference chips
• Focus on serving models efficiently at scale (post-training) $ENJ
• Partnership with Marvell for design/manufacturing support $SUI
• Reported by The Information
What this suggests:
• Big Tech moving toward vertical integration in AI hardware
• Shift from training → inference optimization (cost + scale)
• Increasing competition with NVIDIA
Context:
• Inference = where real revenue happens (serving AI to users)
• Custom chips can drastically reduce costs vs general GPUs
📊 Market takeaway:
Bullish for AI infrastructure, but competitive pressure rising. NVIDIA remains dominant—but hyperscalers building their own chips could reshape margins and market share over time.
#Google #AI #Nvidia's
Nvidia became a $5 trillion company overnight. What started as a chip manufacturer for gamers is now the backbone of the entire AI revolution. This is not just a market milestone; it is the moment when the history of technology is being rewritten in real-time. $CGPT {spot}(CGPTUSDT) #Nvidia's #MarketPullback #stockmarket
Nvidia became a $5 trillion company overnight. What started as a chip manufacturer for gamers is now the backbone of the entire AI revolution.
This is not just a market milestone; it is the moment when the history of technology is being rewritten in real-time.

$CGPT


#Nvidia's #MarketPullback #stockmarket
Bridgewater Slashes Nvidia Position as Macro Risks Rise Bridgewater Associates has cut its Nvidia holdings by a sharp 65.3% in Q3 2025, reducing its position to 2.51 million shares amid rising macroeconomic uncertainty. The move signals a strategic shift toward diversification as global markets face pressure from geopolitical tensions, high sovereign debt, and tightening central bank policies. Analysts say the reduction reflects broader institutional caution, with hedge funds focusing on protecting liquidity and managing systemic risks. While Nvidia has not commented, the adjustment highlights a growing preference for de-risking across major portfolios. No direct impact on crypto markets has been observed, though the sentiment adds to the overall atmosphere of volatility. #Nvidia's
Bridgewater Slashes Nvidia Position as Macro Risks Rise
Bridgewater Associates has cut its Nvidia holdings by a sharp 65.3% in Q3 2025, reducing its position to 2.51 million shares amid rising macroeconomic uncertainty. The move signals a strategic shift toward diversification as global markets face pressure from geopolitical tensions, high sovereign debt, and tightening central bank policies.

Analysts say the reduction reflects broader institutional caution, with hedge funds focusing on protecting liquidity and managing systemic risks. While Nvidia has not commented, the adjustment highlights a growing preference for de-risking across major portfolios. No direct impact on crypto markets has been observed, though the sentiment adds to the overall atmosphere of volatility.

#Nvidia's
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Bullish
$TALE and NVIDIA!!! 🔥🔥🔥 PrompTale AI has joined the NVIDIA Inception Program. This program is designed to support startups developing groundbreaking technologies, including those based on artificial intelligence. Key aspects of this indirect relationship: * Support for innovation: Participation in this program means that PrompTale AI has access to NVIDIA's tools, technologies, and expert support, which can accelerate the development of their platform. * Hardware and software: The NVIDIA Inception Program provides access to hardware (GPUs), cloud resources, and software that are critical for training and running the advanced AI models on which PrompTale is based. Summary In conclusion, while there is no mention of a direct, top-level strategic partnership (like the one between Google and NVIDIA in the context of Gemini), a clear, indirect relationship exists. PrompTale AI ($TALE) benefits from startup support programs run by both Google and NVIDIA. This gives them access to the powerful infrastructure, technology, and knowledge of these tech giants, which is crucial for the project's development in the world of Web3 and AI. This shows that technology giants not only create their own solutions but also actively support innovative, smaller projects that can shape the future of AI and decentralized technologies. #Tale #Nvidia's #revolution
$TALE and NVIDIA!!! 🔥🔥🔥 PrompTale AI has joined the NVIDIA Inception Program. This program is designed to support startups developing groundbreaking technologies, including those based on artificial intelligence.
Key aspects of this indirect relationship:
* Support for innovation: Participation in this program means that PrompTale AI has access to NVIDIA's tools, technologies, and expert support, which can accelerate the development of their platform.
* Hardware and software: The NVIDIA Inception Program provides access to hardware (GPUs), cloud resources, and software that are critical for training and running the advanced AI models on which PrompTale is based.
Summary
In conclusion, while there is no mention of a direct, top-level strategic partnership (like the one between Google and NVIDIA in the context of Gemini), a clear, indirect relationship exists. PrompTale AI ($TALE) benefits from startup support programs run by both Google and NVIDIA. This gives them access to the powerful infrastructure, technology, and knowledge of these tech giants, which is crucial for the project's development in the world of Web3 and AI. This shows that technology giants not only create their own solutions but also actively support innovative, smaller projects that can shape the future of AI and decentralized technologies. #Tale #Nvidia's #revolution
🇨🇳 NVIDIA: Strong Demand From China for H200 Chips NVIDIA CEO Jensen Huang stated that demand from China for the company’s H200 AI chips remains very strong, highlighting continued interest from Chinese customers despite ongoing regulatory constraints. $LINK Huang confirmed that NVIDIA has submitted an application for an export license to supply the H200 chips to China, and the request is currently under review by U.S. authorities. $FET The outcome of this process will be crucial for NVIDIA, as China remains one of the world’s largest and most important markets for advanced AI computing hardware. $NEAR This development underscores the persistent global demand for high-performance AI chips and the growing strategic importance of export regulations in the semiconductor industry. #Nvidia's #WriteToEarnUpgrade #USChinaDeal
🇨🇳 NVIDIA: Strong Demand From China for H200 Chips

NVIDIA CEO Jensen Huang stated that demand from China for the company’s H200 AI chips remains very strong, highlighting continued interest from Chinese customers despite ongoing regulatory constraints. $LINK

Huang confirmed that NVIDIA has submitted an application for an export license to supply the H200 chips to China, and the request is currently under review by U.S. authorities. $FET The outcome of this process will be crucial for NVIDIA, as China remains one of the world’s largest and most important markets for advanced AI computing hardware. $NEAR

This development underscores the persistent global demand for high-performance AI chips and the growing strategic importance of export regulations in the semiconductor industry.
#Nvidia's #WriteToEarnUpgrade #USChinaDeal
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Bullish
🗣️#Talking about the current #market decline being caused by platform manipulation is meaningless🥲 📍There are clear signs of #Weakness coming from the US market affecting crypto and other markets,with SPX & NQD indices falling for the fourth day in a row. 📍In the last two days alone,about $1.5 billion in liquidity has exited $BTC ETFs 📍The most influential events this week are the announcement of #Nvidia's results today,and the Core PCE index numbers on the 28th. 📍During this period,there will be a high degree of #volatility in the market.📉 $BTC {spot}(BTCUSDT)
🗣️#Talking about the current #market decline being caused by platform manipulation is meaningless🥲

📍There are clear signs of #Weakness coming from the US market affecting crypto and other markets,with SPX & NQD indices falling for the fourth day in a row.

📍In the last two days alone,about $1.5 billion in liquidity has exited $BTC ETFs

📍The most influential events this week are the announcement of #Nvidia's results today,and the Core PCE index numbers on the 28th.

📍During this period,there will be a high degree of #volatility in the market.📉
$BTC
Article
NVIDIA CEO Jensen Huang: "If I Were 20 Today, I'd Study Physical Sciences"🚀 Key Insights from NVIDIA’s $4T CEO ✅ Career Advice: Huang says he’d focus on physical sciences (physics, chemistry, astronomy) over software if starting today ✅ Next AI Wave: Bullish on "Physical AI" – blending AI with real-world systems (robotics, materials science, quantum computing) ✅ NVIDIA’s Rise: From Denny’s startup to world’s first $4T company ✅ AI Evolution: - 1st Wave (2012): Perception AI (AlexNet, computer vision) - 2nd Wave (Now): Generative AI (LLMs, image synthesis) - 3rd Wave (Future): Physical AI (robotics, industrial automation) 🔍 Why Physical Sciences? Huang didn’t elaborate, but clues point to: 🔹 AI + Physics = Next Frontier (e.g., AI-designed materials, quantum computing) 🔹 Robotics Revolution – NVIDIA’s Isaac AI already powers autonomous machines 🔹 Energy & Climate Tech – AI-driven fusion, battery innovation 📈 NVIDIA’s Unstoppable Growth | Milestone | Detail | |----------------------|-----------| | Founded | 1993 (at a Denny’s) | | Market Cap | $4T+ (First ever) | | Key Tech | GPUs, AI accelerators, Omniverse | | Huang’s Degree | Electrical Engineering (OSU, Stanford) | 🌐 The Future: Physical AI Huang’s vision for AI’s next phase: - Smart Factories – AI optimizing manufacturing in real time - Autonomous Labs – AI discovering new chemicals, drugs - Climate Modeling – Predicting weather, energy systems > "The next wave is Physical AI—where AI meets the physical world." > — Jensen Huang 💡 Key Takeaways ✔ Tech’s future isn’t just code – Hardware + AI will dominate ✔ NVIDIA’s $4T value stems from betting early on AI infrastructure ✔ Students take note: Physics/engineering may outpace pure CS in AI era 🚀 Follow for more tech leadership insights! #tech #Nvidia's #news #fundamentalanalysis #BİNANCE

NVIDIA CEO Jensen Huang: "If I Were 20 Today, I'd Study Physical Sciences"

🚀 Key Insights from NVIDIA’s $4T CEO
✅ Career Advice: Huang says he’d focus on physical sciences (physics, chemistry, astronomy) over software if starting today
✅ Next AI Wave: Bullish on "Physical AI" – blending AI with real-world systems (robotics, materials science, quantum computing)
✅ NVIDIA’s Rise: From Denny’s startup to world’s first $4T company
✅ AI Evolution:
- 1st Wave (2012): Perception AI (AlexNet, computer vision)
- 2nd Wave (Now): Generative AI (LLMs, image synthesis)
- 3rd Wave (Future): Physical AI (robotics, industrial automation)

🔍 Why Physical Sciences?
Huang didn’t elaborate, but clues point to:
🔹 AI + Physics = Next Frontier (e.g., AI-designed materials, quantum computing)
🔹 Robotics Revolution – NVIDIA’s Isaac AI already powers autonomous machines
🔹 Energy & Climate Tech – AI-driven fusion, battery innovation

📈 NVIDIA’s Unstoppable Growth
| Milestone | Detail |
|----------------------|-----------|
| Founded | 1993 (at a Denny’s) |
| Market Cap | $4T+ (First ever) |
| Key Tech | GPUs, AI accelerators, Omniverse |
| Huang’s Degree | Electrical Engineering (OSU, Stanford) |

🌐 The Future: Physical AI
Huang’s vision for AI’s next phase:
- Smart Factories – AI optimizing manufacturing in real time
- Autonomous Labs – AI discovering new chemicals, drugs
- Climate Modeling – Predicting weather, energy systems

> "The next wave is Physical AI—where AI meets the physical world."
> — Jensen Huang

💡 Key Takeaways
✔ Tech’s future isn’t just code – Hardware + AI will dominate
✔ NVIDIA’s $4T value stems from betting early on AI infrastructure
✔ Students take note: Physics/engineering may outpace pure CS in AI era
🚀 Follow for more tech leadership insights!
#tech #Nvidia's #news #fundamentalanalysis #BİNANCE
#Amazon stock surges after announcing a new in-house built AI chip which it says is more "cost effective" than #Nvidia's
#Amazon stock surges after announcing a new in-house built AI chip which it says is more "cost effective" than #Nvidia's
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