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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... show more

Exabits

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21,936 views • 10 months ago •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 →

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 →

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23,719 views • 11 months ago

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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.

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20,473 views • 10 months ago

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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

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152,990 views • 9 months ago

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35,450 views • 2 months ago

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663,872 views • 5 months ago

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50,724 views • 1 year ago

$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 →

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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. 🇮🇳

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Shruti

399,743 views • 4 months ago

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

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 views • 1 month ago

"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.

"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 views • 1 year ago