nvidia

#TeslaAndNvidiaToInvest$2.8BInSamsungElectroMechanics

🇰🇷 Tesla and Nvidia Reportedly Fund $2.8B Samsung Chip-Substrate Lines

💰 Maeil Business reports 3.7T won (~$2.8B) for Samsung Electro-Mechanics
🟢 Nvidia: about 2.6T won for lines in Sejong and Busan
🚗 Tesla: about 1.1T won for a dedicated Sejong line
🧩 The product is FC-BGA, the substrate under AI chips
📅 Mass production targeted for 2H 2028, Tesla supply 2029-2033
⚠️ Samsung EM says server FC-BGA demand runs 50%+ above capacity
📌 Nvidia confirmed the partnership at GTC but gave no amount

What it means for crypto: another sign AI spending is still accelerating. But $BTC has been trading with tech earnings this week, so the AI trade cuts both ways.

Are AI supply-chain deals bullish or a crowding risk for markets? 👇

$BTC
#CryptoNews #AI #Nvidia #TeslaAndNvidiaToInvest$2.8BInSamsungElectroMechanics

#TeslaAndNvidiaToInvest$2.8BInSamsungElectroMechanics
Tesla and Nvidia to Invest $2.8B in Samsung Electro-Mechanics for Next-Gen Chip Packaging
Tech giants Tesla and Nvidia are reportedly in final talks to invest a combined $2.8 billion (approximately RM 1.5 billion) in Samsung Electro-Mechanics (SEMCO). This strategic joint venture partnership will focus on co-developing advanced chip package solutions specifically for artificial intelligence (AI) and autonomous driving (AV) platforms. SEMCO, a global leader in electronic components and substrates, will leverage this massive investment to accelerate the industrialization of next-generation backend technologies, including high-performance FCPBGA substrates and advanced interposer integration.
Market Analysis: The Advanced Packaging Bottleneck in AI
The AI computing boom, spearheaded by firms like Nvidia and Tesla, has made advanced chip packaging a critical performance bottleneck.
Standard monolithic chip design is giving way to chiplet architectures, which require complex integration using advanced substrates to enable high-bandwidth memory (HBM) and low-latency interconnects. Tesla’s vertically integrated AV processors and Nvidia’s data center GPUs heavily rely on these sophisticated packaging techniques. By securing capacity and co-developing IP with SEMCO, Tesla and Nvidia are proactively de-risking their supply chains for future hardware iterations and accelerating the delivery of high-yield packaging solutions (targeting +9% yield and -15% latency reduction as shown in semantic data).
Tradeable Assets :
$NVDA : Leading AI GPU and networking proxy; directly benefits from optimizing advanced packaging to scale compute.
Current Spot Price: ~$488.00
$TSLA : Core AV and EV proxy; investment secures key supply chain for FSD and Dojo supercomputing hardware.
Current Spot Price: ~$212.50
$MU : Key AI memory and HBM supplier; partner in broader AI ecosystem expansion.
Current Spot Price: ~$78.30
#NVIDIA #Samsung #Semiconductors

📰 NVIDIA details RFD4-Proteina protein design search workflow
NVIDIA says RFD4-Proteina uses reward-guided inference-time search to co-design protein sequences and all-atom structures. (Read More)
Source : Blockchain News
Time : 2026-10-21 18:00:40
Credit : joerg hiller
#nvidia #bionemo #news #protein_design #artificial_intelligence
$MET $ATOM
Share your opinion in the comment section below

$NVDA

Bounce Back: Can Bulls Reclaim $230?

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Market Overview

NVIDIA is trading near $221.89 (+2.54%) on the 4H chart after a sharp pullback from the ~$243 October high. Buyers stepped in at a key support zone, and short-term momentum is turning back up. The bigger picture is still a wide range between $200 and $243.

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Technical Analysis

The $212.90 level has acted as a strong pivot, with price defending it several times since May. The recent V-shaped bounce shows dip buyers are active. Price is now back above the $218 overnight level, a constructive sign for bulls.

The next hurdle is around $230, where the August and September highs formed. Volume is steady but not explosive, so a clean breakout would need stronger participation to confirm.

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Scenarios

🟢 Bullish Case: A 4H close above $230 with rising volume could open a retest of $243.

🔴 Bearish Case: A close below $212.90 would weaken the structure and expose $200.

⚪ Neutral Case: Choppy trade between $213 and $230 while the market waits for a catalyst.

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Key Levels

🔺 Resistance: R1 $230 | R2 $243

🔻 Support: S1 $212.90 | S2 $200

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Outlook

NVDA is rebounding from major support inside a larger range. Watch the reaction at $230 and whether volume backs the move. Patience and solid risk management matter more than chasing candles.

For informational purposes only.

#NVIDIA #EarningsSeason #ZcashDevelopersConfirmNovemberDateForNU7Upgrade #OCCIssuesFirstFinalRuleUnderGENIUSAct #KoreanRetailLost6.3TrillionWonOnLeveragedETPs

📊 PREDICTION: AI scaling is hitting a physical wall: power shortages. Internal emails reveal AWS is paying for billions in Nvidia GB300 racks that are sitting idle in warehouses because data centers lack the electricity to run them. These "dark GPUs" highlight a growing gap between hardware procurement and actual infrastructure readiness. #Nvidia #NvidiaAI #AWS #AmazonAI $NVDA $AMZN #CryptoverseNews

Full story: https://cryptoversenews.eu/ai/amazon-s-early-rack-receipt-process-brings-5b-in-nvidia-gb30/?utm_source=binance_square&utm_medium=social&utm_campaign=autopost

What will quantum computing change first?
$KERNEL
$ENSO
$JCT
🚨 NVIDIA just pushed quantum computing another step forward.

On Europe’s largest supercomputer, Jupiter, researchers simulated a 104-qubit fault-tolerant system using 90% fewer physical qubits than previous attempts, according to NVIDIA.

Why it matters: quantum computing could eventually transform drug discovery, financial modeling, and materials science.

But the real breakthrough may be the combination of GPUs and quantum processors, not either technology alone.

Is this a glimpse of the next computing revolution, or are practical quantum applications still years away?

#NVIDIA #QuantumComputing #AI

$NVDAB shares are rebounding after last week's AI-stock sell-off. On October 19, the stock traded around $217–$219, up roughly 1.5%–2.4% intraday, depending on the data feed. Investors are watching AI spending, upcoming technology-company earnings, and concerns about the cost of financing AI infrastructure.
Cautiously bullish for a short-term rebound, but the broader recovery needs confirmation. A sustained move above $219–$221 would strengthen the bullish case; a break below $214 could signal renewed weakness.
#NVIDIA #Nvidia's #Crypto_Jobs🎯 #BinanceSquareTalks

NVIDIA’s latest innovation! Boosting efficiency across European governments—the NVIDIA Nemotron-Personas collection is here!

NVIDIA is helping European governments take their work efficiency to the next level! Its NVIDIA Nemotron-Personas collection and NVIDIA Triton Inference Server keep data secure and operations efficient. Come experience the power of technology!#NVIDIA #欧洲公共部门 #EfficiencyBoost

Europe’s financial services industry is accelerating its intelligent transformation, and NVIDIA is helping drive a revolution in data processing.

Fund-flow watchers, Europe’s financial services industry is embracing open models and leveraging NVIDIA’s accelerated computing platform to enhance data processing and intelligent analytics. Keep an eye on these financial whales—the direction of attention points to future trends! #EuropeanFinance# #NVIDIA#

Nvidia has just unveiled a way to set up data centers almost instantly.

These are Vera Rubin racks that come ready to use.

The company says its DSX Pod AI Factory combines seven of these racks in a shipping container.

What’s interesting is that this could make it possible to start serving AI tokens in just 14 days.

Basically, you ship the container on a truck, and you’ve got a functioning AI factory.

$NVDA

Are you surprised by how quickly this can be deployed?

#Nvidia #IA #Technology

NVIDIA unveils the Vera Rubin architecture, accelerating the expansion of AI factories

At the OCP Global Summit, NVIDIA announced that the Vera Rubin architecture is now available worldwide, helping AI infrastructure scale faster. #话题 #NVIDIA

NVIDIA's latest innovation! It's helping European cities operate smarter~

NVIDIA has really raised the bar this time, creating an AI agent dedicated to helping European cities run smarter. Traffic, energy, security—it can handle it all. With many partners working together, it's helping make cities smarter!#NVIDIA #AIAgent

NVIDIA teams up with the European Broadcasting Union to further strengthen media agent security

From European public service broadcasting to global content production, NVIDIA and Adobe are collaborating to expand sovereign frameworks and accelerate video search, speeding up the media industry's intelligent transformation.#NVIDIA #媒体智能体 #SecurityTrackers

Google is opening a new front in the AI infrastructure race, this time through software—not just hardware. ⚡

Google announced that TorchTPU is now open source at the 2026 PyTorch Conference, in collaboration with Meta’s PyTorch team. The project lets AI models run on TPU devices within PyTorch, alongside GPUs and CPUs, with only minimal changes to existing code.

The biggest development? 👇

🔹 Frameworks such as vLLM, SGLang, TorchTitan, VeRL, and Ray have integrated TPU support, expanding developers’ options for running models.

🔹 And with Hugging Face Transformers v5, deploying models on TPU is now possible by setting `device_map="tpu"`.

In my view, the real competition with NVIDIA won’t be decided by chip power alone, but by how easily developers can switch to other alternatives without rebuilding their systems from scratch. 🚀

Can open-source software support give Google a bigger share of the AI computing market?
$GOOGLB
$NVDAB
$METAB

#Google #Aİ #PyTorch #NVIDIA #Crypto

Germany is making a strong move in artificial intelligence.

Chancellor Friedrich Merz urged local companies to open their doors to this technology during an industrial summit in Berlin.

At that very event, $NVDA announced direct investments in four German startups.

It seems capital is looking for fertile ground beyond the usual markets.

Are you surprised to see Nvidia betting on German startups?

#Nvidia #IA #Tech

NVIDIA accelerates security—and European public service broadcasters are counting on it!

NVIDIA is making a big move this time, teaming up with the European Broadcasting Union to set a new standard for media agent security. Adobe Frame.io speeds up search, and Germany’s UFA uses it to find footage! Come experience the incredible power of technology! 🌟 #NVIDIA #安全科技 #FutureOfMedia

Mercedes and #Nvidia are developing artificial intelligence for autonomous vehicles — Bild.
🚗
German automaker Mercedes-Benz and the American company $NVDAB are expanding their collaboration in the field of autonomous driving. The companies intend to jointly develop a new generation of driver-assistance systems that will enable vehicles to handle complex road situations, from heavy urban traffic to intersections and parking.
🛻
The technology is based on the Mercedes MB.OS automotive operating system and Nvidia’s artificial intelligence platform. The Alpamayo software aims to teach the vehicle to better understand its surroundings, assess potential risks, and choose appropriate actions.
🚙
The next goal is Level 4 autonomous driving. This means that, under certain conditions, the vehicle will be able to perform all driving tasks without the need for the driver to constantly monitor the road. In the future, this technology is also planned for use in autonomous taxis.
$Q 🚐
✍🏼The expanded collaboration is planned for the coming decade. Mercedes has not yet announced when the new features will appear in production vehicles.

🚀 Support 🤝 ✅✅🤝
$BNB

#Auto
#IA
#TecnologiaParaTodos
#Binance

#Nvidia CEO Jensen Huang said the benefits of AI will soon outweigh current investor concerns amid the latest AI stock-market selloff.


Speaking in Berlin, he described the technology as transformative across industries and countries, adding that the present turmoil is temporary and that the market is still in the early stages of AI adoption.

$NVDAB $NVDA $NVDA.US
#NVDA #AI #JensenHuang #CoinVahini

🚨 NVIDIA splashes $12.9 billion to acquire Hugging Face, sending the AI arms race into overdrive!
📈 $BTC closes at $81,133 (+5.9%), $ETH $2,631 (+7.3%)
💡 Tensions are rising in the Middle East, while AI giants are on a buying spree
🤔 Tonight’s trend: Will the AI narrative stay in the driver’s seat, or will risk aversion take over?
A. Go AI B. Wait for stability
Not investment advice #加密 #NVIDIA

📰 Why could Nvidia’s ban on neoclouds shake the foundations of AI?

At the GTC conference in Berlin, Nvidia suddenly banned neocloud providers that use AMD CPUs and TPUs from attending. This directly hits companies looking to use technologies from competitors like AMD for AI training. Put simply, Nvidia is protecting its monopoly over its technology ecosystem. Those most affected are startups that rely on public cloud platforms. They may now be forced to turn to giants like AWS and Azure, or build their own data centers. This could have a ripple effect on the entire AI infrastructure market.

Why does this matter?
The root of the issue is that Nvidia doesn’t want to lose its absolute dominance of the AI computing market. Nvidia GPUs currently account for more than 80% of the AI training market, but AMD and Intel are making a strong comeback in the CPU space, while TPUs are also chipping away at some of the market. If neutral platforms like neoclouds give other technologies a chance to gain traction, Nvidia’s walled garden could be breached. This means the industry is shifting from “Nvidia only” to “multiple technologies coexisting”—a scenario Nvidia clearly doesn’t want to see.

Impact on the market
In the short term, this will intensify competition among cloud providers. AWS and Azure may take the opportunity to win over neocloud customers shut out by Nvidia. In the long term, this could benefit the diversification of AI infrastructure. If companies can choose from different technology combinations, they may actually become less dependent on a single supplier. The impact on crypto markets may be indirect, but projects involving AI computing rigs or related tokens could be swayed by market sentiment. Historically, similar events—such as the CPU rivalry between Intel and AMD—have ultimately helped advance the entire computing industry.

💡 This means Nvidia is likely to remain strong in the short term, but in the long run, the erosion of technological barriers could lead to a decline in its market share. If TPU costs drop sharply or quantum computing makes a breakthrough, Nvidia’s GPU advantage could be diluted.

This article is not sponsored by any project, and the author does not hold any of the assets mentioned.

According to CryptoBriefing

⚠️ This is not investment advice. Predictions are for reference only.

#Nvidia

#HardwareRestrictions