FEMI |⚡️ZugChain
8.7K posts
FEMI |⚡️ZugChain
@Kay_TheBlessed
BUSINESS STRATEGIST//TRAVELS CONSULTANT//CRYPTO SAVVY Building on @ZugChain_orc philippians 4:1
가입일 Ağustos 2021
1.5K 팔로잉556 팔로워
MAG7.ssi Component ETF Flow Watch | 0609
BTC ETFs: -$77.44M Net Inflow
ETH ETFs: -$40.85M Net Inflow
SOL ETFs: +$794.27K Net Inflow
XRP ETFs: +$7.44M Net Inflow
MAG7.ssi:
Multi-Asset in One Token, Capture Crypto Growth with Ease.
Trade MAG7.ssi on SoDEX — powered by an L1 order book:
sodex.com/trade/spot/MAG…
#BTC #ETH #SOL #XRP #ETF #Crypto #MAG7ssi #SoDEX
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SoSoValue@SoSoValueCrypto
MAG7.ssi Component ETF Flow Watch | 0609 BTC ETFs: -$77.44M Net Inflow ETH ETFs: -$40.85M Net Inflow SOL ETFs: +$794.27K Net Inflow XRP ETFs: +$7.44M Net Inflow MAG7.ssi: Multi-Asset in One Token, Capture Crypto Growth with Ease. Trade MAG7.ssi on SoDEX — powered by an L1 order book: sodex.com/trade/spot/MAG… #BTC #ETH #SOL #XRP #ETF #Crypto #MAG7ssi #SoDEX
QME
A useful read on why AI CapEx matters beyond Nvidia. 👇
JellyZ@JellyZhouishere
Why should AI stock investors pay attention to AI CapEx? AI capital expenditure refers to the fixed-asset investments cloud giants like Amazon, Microsoft, Google and Meta — plus some vertical AI players — make in GPU clusters, data centers, networking, storage and power infrastructure. In essence, it's the starting point of the entire AI supply chain. Once hyperscalers raise CapEx, capital flows down the chain: GPU / ASIC → HBM → AI servers → networking equipment → data centers → power infrastructure → cloud revenue That's why the pace of AI CapEx directly reflects compute demand, supply-chain orders, application innovation and the ability of AI products to scale. Looking at the data, the CapEx cycle of the four major cloud giants (Amazon, Microsoft, Google, Meta) splits into four stages: 2011–2023: Traditional cloud expansion. CapEx was driven by enterprise cloud migration, SaaS, video, advertising, e-commerce and storage. 2024: An extraordinary acceleration begins. After being down 2.5% YoY in 2023, combined CapEx jumped 54.8% to $228.4 billion. Post-ChatGPT and GPT-4, AI infrastructure had firmly entered the tech giants' budgets. 2025: The arms race confirmed. CapEx grew a further 64.6% to $376 billion — proof that 2024 wasn't a one-off rebound, but the start of sustained expansion in AI compute demand. 2026: Explosive growth. On current guidance, combined CapEx could reach $710 billion, up nearly 89% YoY. This is no longer an extension of the cloud cycle — it's a massive buildout as tech giants race to secure the next generation of compute. And the expansion is far from over. As free cash flow gets consumed by CapEx, the giants are leaning more on external financing: Alphabet recently moved forward with an equity raise of around $80–85 billion, and Meta is exploring more options to fund its data center buildout. So where is the money going? 1. AI chips and accelerators — Nvidia and AMD GPUs, Google TPUs, Amazon Trainium, Microsoft Maia. The most visible part of the spend. 2. HBM, DRAM and enterprise SSDs — model parameters, training data and inference cache all need high-speed memory; the stronger the GPU, the greater the demand. 3. AI servers and rack-scale systems — hyperscalers buy full servers and, increasingly, rack-scale systems like GB200 and GB300, not individual GPUs. 4. Networking and optical modules — training spans thousands of GPUs, so switches, NICs, optical modules and interconnects become critical. 5. Data centers and power — land, buildings, liquid cooling, transformers, grid connections and long-term power agreements, all built for high power density. So AI CapEx isn't just about buying GPUs — it's about building an entire "compute factory." That's why the AI trade has widened from Nvidia to HBM, memory, servers, optical modules, data centers, power equipment and liquid cooling. For investors, the real question isn't how much the giants spend — it's whether that spending converts into large, sustainable AI revenue. Short term, CapEx means supply-chain orders; medium term, cloud compute capacity; long term, the winner won't be whoever spends the most, but whoever turns each dollar of CapEx into the most revenue and profit. This cycle may look like a model race on the surface. Underneath, it's a race for compute, power, memory and data center capacity. Therefore, the Big Four cloud giants — along with the core suppliers capturing the largest share of AI CapEx — are the key players in this AI infrastructure cycle. If you want to invest in this theme, you can trade them on @sodex_official such as $GOOGL, $MSFT, $MU and $SNDK. sodex.com/join/JELLYZ #SoDEX #SoSoValue #AI
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Earn by sharing what you wish someone had told you earlier about health.
Your lesson could help someone else.
Jump in on @LifeNetwork_AI: testnet.lifeai.io/ref?code=U1L83…
Code: U1L8364
#LifeAITestnet #HealthcareAI
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E get who you go knack like this,
Money go just dey flow like milk and honey for your side.
E still who you go knack like this,
The kind Sapa wey go gum you go pass Skin tight…✍️
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@AkinmarinS22445 @olascubicle I’ll advise you delay gratification for your own betterment. Ire o
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@survived4711ac @dauntlesseskimo That guy na weyrey. Na that guy make me enjoy that film, homelander too
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@dauntlesseskimo Butcher's grin when he was holding that baby, took me out. 💀😭😂
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What happened to the supe baby we saw in the series, I wanted to see the baby in the final scene doing what they knew best.
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🚨 Last Call for Wave 2 Builders
Wave 2 of the SoSoValue AI Buildathon is almost closing.
Our 8 Wave 2 Product Reviewers are now ready and excited to dive into your submissions — including 4 returning reviewers from Wave 1 and 4 new reviewers joining this round.
Updated products, new ideas, stronger demos — we’re ready to see them.
Submit before the deadline 👇
app.akindo.io/wave-hacks/JBE…
#SoSoValue #SoDEX #Buildathon #AI #AIAgents #OnChainFinance #Web3 #Builder
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SoSoValue@SoSoValueCrypto
🚨 Last Call for Wave 2 Builders Wave 2 of the SoSoValue AI Buildathon is almost closing. Our 8 Wave 2 Product Reviewers are now ready and excited to dive into your submissions — including 4 returning reviewers from Wave 1 and 4 new reviewers joining this round. Updated products, new ideas, stronger demos — we’re ready to see them. Submit before the deadline 👇 app.akindo.io/wave-hacks/JBE… #SoSoValue #SoDEX #Buildathon #AI #AIAgents #OnChainFinance #Web3 #Builder
QME
Earn while helping define how the world approaches health.
Your voice drives the change.
Join me: testnet.lifeai.io/ref?code=U1L83…
Code: U1L8364
#LifeAITestnet #HealthcareAI
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Where do we classify people who give others sleepless night or pain just because of their own selfish interests. Are they good or bad people?
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@LifeNetwork_AI @tuan_lifeai A powerful reminder that the future of Healthcare AI depends not only on smarter algorithms, but on building trusted infrastructure that connects every stakeholder across the healthcare ecosystem. Keep building @LifeNetwork_AI, keep building Dr. Tuan Cao
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𝗡𝗩𝗜𝗗𝗜𝗔 𝗚𝗧𝗖 𝗧𝗮𝗶𝘄𝗮𝗻 𝟮𝟬𝟮𝟲 - 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 #𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲𝗔𝗜 𝗩𝗮𝗹𝘂𝗲 𝗖𝗵𝗮𝗶𝗻
At NVIDIA GTC Taiwan 2026, our Co-Founder & CEO Dr. Tuan Cao @tuan_lifeai presented “LifeAI Biohub: A Purpose-built AI platform for Drug Development”
One signal emerged throughout the session:
As AI capabilities continue to advance, the bottleneck is no longer intelligence itself. It is the infrastructure that enables validation, governance, and coordination across the full spectrum of healthcare stakeholders.
𝗧𝗵𝗲 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜 𝗩𝗮𝗹𝘂𝗲 𝗖𝗵𝗮𝗶𝗻
Pharma → Hospitals → Doctors → Labs → Regulators → Auditors → Patients
Sustainable progress in healthcare AI demands alignment across the entire ecosystem, not isolated optimization within a single organization.
𝗟𝗶𝗳𝗲𝗔𝗜 𝗕𝗶𝗼𝗛𝘂𝗯
Shared Infrastructure → Coordination Layer → Connected Network → Application Success
This is the foundation Life AI is building: the shared infrastructure and coordination layer for the healthcare AI value chain so that every application built on top can move faster, scale further, and earn trust across the industry.
The long-term opportunity in healthcare AI will not be defined by better models alone. It will be defined by the infrastructure that makes those models deployable, accountable, and impactful at scale.
It was a privilege to share this vision alongside the researchers, healthcare leaders, and technology builders at NVIDIA GTC Taiwan shaping the next chapter of AI.
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The future of Healthcare AI isn't just about smarter model. it's about building the infrastructure that connects research, regulation, providers, and patients into one trusted ecosystem. Great insight.
Keep building, keep Growing @LifeNetwork_AI
LIFE AI@LifeNetwork_AI
𝗡𝗩𝗜𝗗𝗜𝗔 𝗚𝗧𝗖 𝗧𝗮𝗶𝘄𝗮𝗻 𝟮𝟬𝟮𝟲 - 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 #𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲𝗔𝗜 𝗩𝗮𝗹𝘂𝗲 𝗖𝗵𝗮𝗶𝗻 At NVIDIA GTC Taiwan 2026, our Co-Founder & CEO Dr. Tuan Cao @tuan_lifeai presented “LifeAI Biohub: A Purpose-built AI platform for Drug Development” One signal emerged throughout the session: As AI capabilities continue to advance, the bottleneck is no longer intelligence itself. It is the infrastructure that enables validation, governance, and coordination across the full spectrum of healthcare stakeholders. 𝗧𝗵𝗲 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜 𝗩𝗮𝗹𝘂𝗲 𝗖𝗵𝗮𝗶𝗻 Pharma → Hospitals → Doctors → Labs → Regulators → Auditors → Patients Sustainable progress in healthcare AI demands alignment across the entire ecosystem, not isolated optimization within a single organization. 𝗟𝗶𝗳𝗲𝗔𝗜 𝗕𝗶𝗼𝗛𝘂𝗯 Shared Infrastructure → Coordination Layer → Connected Network → Application Success This is the foundation Life AI is building: the shared infrastructure and coordination layer for the healthcare AI value chain so that every application built on top can move faster, scale further, and earn trust across the industry. The long-term opportunity in healthcare AI will not be defined by better models alone. It will be defined by the infrastructure that makes those models deployable, accountable, and impactful at scale. It was a privilege to share this vision alongside the researchers, healthcare leaders, and technology builders at NVIDIA GTC Taiwan shaping the next chapter of AI.
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@SIGMAPROFESSOR How do we use this as weapon sir. Pls explain
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Women are so possessive that even when they don't love someone or something, yet consider it their own, the moment they see another woman taking it away, they become alert & stake everything they can to keep it from her. Most men don't know how to use this weapon.
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