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Exabits is redefining AI infrastructure with modular data centers. ✅ Built off-site, deployed in 3 months—not 3 years ✅Dropped near demand: AI hubs, training sites, even rooftops ✅Boost compute, slash latency, skip the $500M bunker This is Prime-speed infrastructure for the AI era—powered by Exabits. Hear it from our...

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Exabits

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21,936 просмотров • 10 месяцев назад •via X (Twitter)

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This AI diagnosed a child 400 miles from the nearest doctor. Hear it from Mark Fidelman , Exabits CMO: ChatGPT-5 is more than a model—it's a lifeline. Real-time diagnostics, even in remote areas. Exabits powers the compute behind it: fast, affordable, and tokenized. Be part of the future →
1:16

This AI diagnosed a child 400 miles from the nearest doctor. Hear it from Mark Fidelman , Exabits CMO: ChatGPT-5 is more than a model—it's a lifeline. Real-time diagnostics, even in remote areas. Exabits powers the compute behind it: fast, affordable, and tokenized. Be part of the future →

Exabits

26,052 просмотров • 10 месяцев назад

AI was supposed to be solved before Elvis dropped Hound Dog. 70 years later, we’ve got ChatGPT, robot dogs—and a compute bottleneck. Exabits is the GPU mothership powering the next wave. From chessboards to frontier models, we’re scaling what McCarthy started. Hear Mark Fidelman, Exabits' CMO, talk about it.
1:53

AI was supposed to be solved before Elvis dropped Hound Dog. 70 years later, we’ve got ChatGPT, robot dogs—and a compute bottleneck. Exabits is the GPU mothership powering the next wave. From chessboards to frontier models, we’re scaling what McCarthy started. Hear Mark Fidelman, Exabits' CMO, talk about it.

Exabits

16,129 просмотров • 9 месяцев назад

$76B later, the world saw what demand for compute looks like. CoreWeave proved it. Exabits built the next evolution. ✅ Real GPU clusters ✅ Real customers ✅ Operational today Tokenized. Programmable. Global. We're not theorizing—we're running. Hear Mark Fidelman break it down.
0:59

$76B later, the world saw what demand for compute looks like. CoreWeave proved it. Exabits built the next evolution. ✅ Real GPU clusters ✅ Real customers ✅ Operational today Tokenized. Programmable. Global. We're not theorizing—we're running. Hear Mark Fidelman break it down.

Exabits

61,866 просмотров • 1 год назад

🚨 ChatGPT-5 just dropped. Your lawyer’s worst nightmare? Upgraded. 🧠 Reads contracts. ⚡ Flags traps. ✍️ Suggests redlines. 📉 Cuts $180K in fees. ⏱️ Shrinks 2-week cycles to 3 days. It’s not magic—it’s compute, powered by Exabits. Hear Mark Fidelman, Exabits' CMO, talk about how the future of law is here.
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🚨 ChatGPT-5 just dropped. Your lawyer’s worst nightmare? Upgraded. 🧠 Reads contracts. ⚡ Flags traps. ✍️ Suggests redlines. 📉 Cuts $180K in fees. ⏱️ Shrinks 2-week cycles to 3 days. It’s not magic—it’s compute, powered by Exabits. Hear Mark Fidelman, Exabits' CMO, talk about how the future of law is here.

Exabits

23,719 просмотров • 11 месяцев назад

Project Crypto is live. The SEC is putting US financial markets on-chain — stocks, bonds, everything. Wall Street just got a blockchain blueprint. It’s going to need scalable, verifiable, ownable compute. This is crypto’s inflection point. Exabits was built for this. Hear it from Exabits' CMO Mark Fidelman.
1:51

Project Crypto is live. The SEC is putting US financial markets on-chain — stocks, bonds, everything. Wall Street just got a blockchain blueprint. It’s going to need scalable, verifiable, ownable compute. This is crypto’s inflection point. Exabits was built for this. Hear it from Exabits' CMO Mark Fidelman.

Exabits

27,229 просмотров • 11 месяцев назад

Look around the grocery store. In 5–10 years, it’ll be a museum piece. No cashiers. No checkout lines. Probably not even a store. AI agents track your fridge. Robots restock and deliver. Warehouses replace aisles. Latency kills retail. Hear it from Mark , Exabits CMO: Enjoy the cereal aisle while it lasts.
0:57

Look around the grocery store. In 5–10 years, it’ll be a museum piece. No cashiers. No checkout lines. Probably not even a store. AI agents track your fridge. Robots restock and deliver. Warehouses replace aisles. Latency kills retail. Hear it from Mark , Exabits CMO: Enjoy the cereal aisle while it lasts.

Exabits

20,473 просмотров • 10 месяцев назад

AI Compute —ubiquitous, invisible, and instant. Russ , Exabits Chief of Sales, on the future of compute: “You plug in your lamp, you get power. You don’t think about where it comes from. That’s our vision for GPUs—distributed, on-demand, and everywhere AI needs it.” Emerging providers like Exabits are the backbone of this shift—scaling infrastructure to meet global AI demand.
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AI Compute —ubiquitous, invisible, and instant. Russ , Exabits Chief of Sales, on the future of compute: “You plug in your lamp, you get power. You don’t think about where it comes from. That’s our vision for GPUs—distributed, on-demand, and everywhere AI needs it.” Emerging providers like Exabits are the backbone of this shift—scaling infrastructure to meet global AI demand.

Exabits

55,256 просмотров • 1 год назад

Eric Schmidt: “America needs 80 gigawatts in the next 3-5 years” The real demand from hyperscalers for AI data centers is otherworldly, they need 1 to 10 gigawatts EACH The real economics are being most felt in the infrastructure buildout powering the next wave of AI
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Eric Schmidt: “America needs 80 gigawatts in the next 3-5 years” The real demand from hyperscalers for AI data centers is otherworldly, they need 1 to 10 gigawatts EACH The real economics are being most felt in the infrastructure buildout powering the next wave of AI

Small Cap Snipa

39,856 просмотров • 5 месяцев назад

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale
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AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale

Small Cap Snipa

116,034 просмотров • 6 месяцев назад

Most AI pilots do not fail because the model is weak. They fail because the enterprise underneath it was never built for production AI. → Data volume → Latency → Deployment cycles → Legacy dependencies → Technical debt This is the infrastructure problem nobody is talking about. Sponsored by Amazon Web Services. #AWSpartner
2:01

Most AI pilots do not fail because the model is weak. They fail because the enterprise underneath it was never built for production AI. → Data volume → Latency → Deployment cycles → Legacy dependencies → Technical debt This is the infrastructure problem nobody is talking about. Sponsored by Amazon Web Services. #AWSpartner

Ronald van Loon

21,532,647 просмотров • 1 месяц назад

🔥🔥A NEW INFRASTRUCTURE LAYER FOR AI IN THE WEB3 ERA - 🟢#SaharasAI is the first full-stack AI-native platform on blockchain, offering a decentralized framework for creating, distributing, and monetizing AI models and datasets. The project is built around the principle of open access, privacy by design, and user-owned intelligence. 🔍 Key Differentiators: ✅ AI-Native Infrastructure: A modular stack covering compute, model, and data layers ✅ Cross-Chain Compatibility: Seamless deployment across multiple blockchain environments ✅ Monetization First: Built-in tools to tokenize, sell, and reward AI contributions ✅ ZK-Based Privacy: Zero-knowledge proofs for secure, verifiable computation and data usage 💼 Backed by Leading Institutions: YZi Labs, Microsoft, Amazon, Pantera Capital, Sequoia Capital... ⭐️ Community Sale on Buidlpad that WLFI refered about: ⏰ Date: June 8–11, 2025 💰 Price: $0.15/token 🎯 Allocation per user: $50 – $3,000 💳 Payment: USD1 or BNB ✅ KYC required 📎 Learn more: $SAHARA #SAHARA #buidlpad #AIforALL
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🔥🔥A NEW INFRASTRUCTURE LAYER FOR AI IN THE WEB3 ERA - 🟢#SaharasAI is the first full-stack AI-native platform on blockchain, offering a decentralized framework for creating, distributing, and monetizing AI models and datasets. The project is built around the principle of open access, privacy by design, and user-owned intelligence. 🔍 Key Differentiators: ✅ AI-Native Infrastructure: A modular stack covering compute, model, and data layers ✅ Cross-Chain Compatibility: Seamless deployment across multiple blockchain environments ✅ Monetization First: Built-in tools to tokenize, sell, and reward AI contributions ✅ ZK-Based Privacy: Zero-knowledge proofs for secure, verifiable computation and data usage 💼 Backed by Leading Institutions: YZi Labs, Microsoft, Amazon, Pantera Capital, Sequoia Capital... ⭐️ Community Sale on Buidlpad that WLFI refered about: ⏰ Date: June 8–11, 2025 💰 Price: $0.15/token 🎯 Allocation per user: $50 – $3,000 💳 Payment: USD1 or BNB ✅ KYC required 📎 Learn more: $SAHARA #SAHARA #buidlpad #AIforALL

BD GemX

22,815 просмотров • 1 год назад

Autonomys is a purpose-built blockchain for AI infrastructure—a vertically integrated stack for decentralized storage and compute. ⛓️ Consensus: Built with the Substrate framework (sovereign L1, not part of Polkadot), powered by Proof-of-Archival-Storage. 🟦 Domains Architecture: Our modular execution layer for compute. The first Domain, Auto EVM, launched in July—permissionless smart contracts are live today. 🗺️ Roadmap: Permissionless instantiation of Domains, allowing developers to launch custom environments tailored to specific AI functions. Designed before AI became fashionable, Autonomys delivers the foundation that decentralized AI truly needs. 👉 Learn more:
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Autonomys is a purpose-built blockchain for AI infrastructure—a vertically integrated stack for decentralized storage and compute. ⛓️ Consensus: Built with the Substrate framework (sovereign L1, not part of Polkadot), powered by Proof-of-Archival-Storage. 🟦 Domains Architecture: Our modular execution layer for compute. The first Domain, Auto EVM, launched in July—permissionless smart contracts are live today. 🗺️ Roadmap: Permissionless instantiation of Domains, allowing developers to launch custom environments tailored to specific AI functions. Designed before AI became fashionable, Autonomys delivers the foundation that decentralized AI truly needs. 👉 Learn more:

Autonomys | AI3.0

152,990 просмотров • 9 месяцев назад

I got update from Econet's Deputy CEO Roy Chimanikire on their new Industrial Park. Key features of this will include enhanced power and a major data center. This is not just infrastructure. It is the foundation for an AI ready Zimbabwe. Reliable power + robust data centers = the engine for AI innovation.This strategic private investment aligns with our national vision.We need to continue building the backbone for a smarter, data driven future. Econet's new Industrial Park is a game changer. It is the critical infrastructure needed to fuel AI adoption and innovation in Zimbabwe. A strategic leap forward for our digital economy. #DigitalizeZimbabwe #AI @EconetWirelessZW
2:29

I got update from Econet's Deputy CEO Roy Chimanikire on their new Industrial Park. Key features of this will include enhanced power and a major data center. This is not just infrastructure. It is the foundation for an AI ready Zimbabwe. Reliable power + robust data centers = the engine for AI innovation.This strategic private investment aligns with our national vision.We need to continue building the backbone for a smarter, data driven future. Econet's new Industrial Park is a game changer. It is the critical infrastructure needed to fuel AI adoption and innovation in Zimbabwe. A strategic leap forward for our digital economy. #DigitalizeZimbabwe #AI @EconetWirelessZW

Hon Tatenda.A. Mavetera

19,402 просмотров • 6 месяцев назад

Why wouldn’t China want more data centers built in the United States? Simple, the nation that leads in AI will lead the future, economically, technologically, and militarily. We’re already seeing it happen in real time as AI drives unprecedented productivity and margin expansion across every sector of the economy. While America debates permits, regulations, and protests over data centers, China is rapidly building power infrastructure and scaling compute capacity as fast as possible. This race is no longer theoretical. Whoever has the most compute, the best models, and the strongest infrastructure will shape the next era of global power.
1:51

Why wouldn’t China want more data centers built in the United States? Simple, the nation that leads in AI will lead the future, economically, technologically, and militarily. We’re already seeing it happen in real time as AI drives unprecedented productivity and margin expansion across every sector of the economy. While America debates permits, regulations, and protests over data centers, China is rapidly building power infrastructure and scaling compute capacity as fast as possible. This race is no longer theoretical. Whoever has the most compute, the best models, and the strongest infrastructure will shape the next era of global power.

Kevin O'Leary aka Mr. Wonderful

35,450 просмотров • 2 месяцев назад

10 stocks to buy and hold for the next 10 years: 1/ IREN Iren is redefining data center infrastructure by building THE world’s most efficient platforms for powering AI compute with 100% renewable energy. As the CEO says, the industry is growing so rapidly, "They can't meet the demand". - 3GW Contracted Power - $9.7B $MSFT Contract - Next Hyperscaler deal is inevitable
3:48

10 stocks to buy and hold for the next 10 years: 1/ IREN Iren is redefining data center infrastructure by building THE world’s most efficient platforms for powering AI compute with 100% renewable energy. As the CEO says, the industry is growing so rapidly, "They can't meet the demand". - 3GW Contracted Power - $9.7B $MSFT Contract - Next Hyperscaler deal is inevitable

Ray Myers

663,872 просмотров • 5 месяцев назад

In a matter of few months, Phoenix’s AI Utility Staking has grown rapidly and surpassed the milestone of 500,000 PHB, with Ink Finance being latest AI Ecosystem partner to stake (more details of this to come). Current applications, use cases, and synergies for our utility staking partners include but are not limited to AI trading, decentralized compute infrastructure, AI agents, AI-powered DeSci, and vertical use-case LLMs. Phoenix is at the forefront of driving real world application-specific adoption of decentralized AI infrastructure – and this is just the beginning. #Phoenix $PHB
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In a matter of few months, Phoenix’s AI Utility Staking has grown rapidly and surpassed the milestone of 500,000 PHB, with Ink Finance being latest AI Ecosystem partner to stake (more details of this to come). Current applications, use cases, and synergies for our utility staking partners include but are not limited to AI trading, decentralized compute infrastructure, AI agents, AI-powered DeSci, and vertical use-case LLMs. Phoenix is at the forefront of driving real world application-specific adoption of decentralized AI infrastructure – and this is just the beginning. #Phoenix $PHB

Phoenix AI Labs

50,724 просмотров • 1 год назад

$HASHAI is Ahead of the Curve ✅ Today’s Amazon Web Services outage highlights the advantage of truly decentralised, reliable infrastructure. 🔹Hash AI’s Node network is purpose-built for real-world, high-performance computing, built on Ethereum. From training and deploying AI models to executing complex data processing and ETL workflows. 🔹Experience lower costs, higher reliability, and complete freedom from vendor lock-in with infrastructure engineered for scale, speed, and resilience. Rent now → Learn more →
0:41

$HASHAI is Ahead of the Curve ✅ Today’s Amazon Web Services outage highlights the advantage of truly decentralised, reliable infrastructure. 🔹Hash AI’s Node network is purpose-built for real-world, high-performance computing, built on Ethereum. From training and deploying AI models to executing complex data processing and ETL workflows. 🔹Experience lower costs, higher reliability, and complete freedom from vendor lock-in with infrastructure engineered for scale, speed, and resilience. Rent now → Learn more →

Hash AI

17,248 просмотров • 8 месяцев назад

The "big announcement" just dropped. I just watched Sundar Pichai and Demis Hassabis announce biggest AI infrastructure deal in history. $15 billion to build India's first complete AI hub. Let me break down what Google is building: A massive AI data center in Visakhapatnam (a coastal city in India). Think of it like this: • The compute power of thousands of Google data centers • New underwater internet cables connecting 4 continents • Clean energy plants to power everything • Training programs for 100+ million people All in one place, over 5 years. AI doesn't work without fast internet. Google is laying NEW cables under the ocean: → India to Singapore → India to South Africa → India to Australia → Mumbai to Western Australia Right now, most of the world's internet flows through cables landing in the US, Europe, or China. Google is creating an entirely new route, with India at the center. If you're in Africa, Asia, or South America, your AI tools will get FASTER. Why? Shorter distance = faster data. Instead of your request traveling: Africa → Europe → US → back to Africa It will go: Africa → India → back to Africa that's the infrastructure play everyone's missing. numbers that matter: 💰 $15 billion for the data centers and cables 💰 $30 million to help governments use AI 💰 $30 million for AI research grants 💰 100 million+ people getting free AI training But here's the kicker: Google is plugging AI directly into India's government. • 20 million government workers getting AI tools • Students getting AI tutors for entrance exams • Real-time translation in 70+ languages • Scam detection built into search This isn't "AI for tech companies." This is AI for clerks, teachers, railway staff, police officers, the people who actually run a country. ✅ 20 million+ people used Google's AI detection tool to spot fake images ✅ India is now #3 globally for AI chatbot usage ✅ AI scam detection helping millions avoid fraud daily ✅ 10+ million government workers already on the AI training platform Google is building the pipes that deliver AI to the entire Southern Hemisphere. Different game. Different strategy. If they're right, the next billion AI users won't connect through Silicon Valley. They'll connect through India. 🇮🇳
1:26

The "big announcement" just dropped. I just watched Sundar Pichai and Demis Hassabis announce biggest AI infrastructure deal in history. $15 billion to build India's first complete AI hub. Let me break down what Google is building: A massive AI data center in Visakhapatnam (a coastal city in India). Think of it like this: • The compute power of thousands of Google data centers • New underwater internet cables connecting 4 continents • Clean energy plants to power everything • Training programs for 100+ million people All in one place, over 5 years. AI doesn't work without fast internet. Google is laying NEW cables under the ocean: → India to Singapore → India to South Africa → India to Australia → Mumbai to Western Australia Right now, most of the world's internet flows through cables landing in the US, Europe, or China. Google is creating an entirely new route, with India at the center. If you're in Africa, Asia, or South America, your AI tools will get FASTER. Why? Shorter distance = faster data. Instead of your request traveling: Africa → Europe → US → back to Africa It will go: Africa → India → back to Africa that's the infrastructure play everyone's missing. numbers that matter: 💰 $15 billion for the data centers and cables 💰 $30 million to help governments use AI 💰 $30 million for AI research grants 💰 100 million+ people getting free AI training But here's the kicker: Google is plugging AI directly into India's government. • 20 million government workers getting AI tools • Students getting AI tutors for entrance exams • Real-time translation in 70+ languages • Scam detection built into search This isn't "AI for tech companies." This is AI for clerks, teachers, railway staff, police officers, the people who actually run a country. ✅ 20 million+ people used Google's AI detection tool to spot fake images ✅ India is now #3 globally for AI chatbot usage ✅ AI scam detection helping millions avoid fraud daily ✅ 10+ million government workers already on the AI training platform Google is building the pipes that deliver AI to the entire Southern Hemisphere. Different game. Different strategy. If they're right, the next billion AI users won't connect through Silicon Valley. They'll connect through India. 🇮🇳

Shruti

399,743 просмотров • 4 месяцев назад

Data centers and AI are driving enormous energy demand, and Florida has to be prepared for it. If we’re going to support growth, innovation, and emerging technologies, we need reliable energy on demand. It has to be available now, not years after the infrastructure is built. Florida must stay ahead by investing in resilient, dependable power generation that protects our economy, our grid, and our quality of life. #JayForFlorida
0:22

Data centers and AI are driving enormous energy demand, and Florida has to be prepared for it. If we’re going to support growth, innovation, and emerging technologies, we need reliable energy on demand. It has to be available now, not years after the infrastructure is built. Florida must stay ahead by investing in resilient, dependable power generation that protects our economy, our grid, and our quality of life. #JayForFlorida

Jay Collins

28,620 просмотров • 1 месяц назад

"Compute is the currency of the future." "Compute is the new OIL." Great, so how do I invest? You can play with the NVIDIA stock, or spin up an AI-Ready Data Center. Challenges of Spinning up AI-Ready Compute: Cost: Even a small cluster of H100 machines is upward to $10M GPU Scarcity: Unallocated or “underutilized” H100, A100, and RTX4090 GPUs are almost non-existent. Very Specific Physical & Technical Requirements: A data center with the right infrastructure is also very rare. There are only 10 in North America that deploy thousands of GPUs, in the open market. Domain Expertise: Teams of experts with the years of experience required to operate, deploy, and manage AI compute at scale are as rare as the GPUs they deploy. Exabits checks all of these boxes and we are the premier Compute Tokenization Platform. We are backed by REAL COMPUTE used by REAL CUSTOMERS.
0:30

"Compute is the currency of the future." "Compute is the new OIL." Great, so how do I invest? You can play with the NVIDIA stock, or spin up an AI-Ready Data Center. Challenges of Spinning up AI-Ready Compute: Cost: Even a small cluster of H100 machines is upward to $10M GPU Scarcity: Unallocated or “underutilized” H100, A100, and RTX4090 GPUs are almost non-existent. Very Specific Physical & Technical Requirements: A data center with the right infrastructure is also very rare. There are only 10 in North America that deploy thousands of GPUs, in the open market. Domain Expertise: Teams of experts with the years of experience required to operate, deploy, and manage AI compute at scale are as rare as the GPUs they deploy. Exabits checks all of these boxes and we are the premier Compute Tokenization Platform. We are backed by REAL COMPUTE used by REAL CUSTOMERS.

Exabits

13,895 просмотров • 1 год назад