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Oregon-based startup Panthalassa is developing floating AI data centers powered by wave energy. The 85-meter-long system uses seawater to cool AI chips while turbines generate electricity from ocean waves. A prototype called Ocean-2 is already being tested off the coast of Washington, with AI data transmitted through SpaceX's Starlink network.

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They are putting DATA CENTERS in the ocean now. Panthalassa, a startup from Portland, just raised $140 MILLION. what they do: build floating platforms that sit out at sea and run AI. no power grid needed. the ocean waves make all the electricity. the seawater keeps the chips cool. How it works: big floating balls bob up and down with the waves. that motion makes power. the power runs the AI chips inside. backed by PETER THIEL. company now worth almost $1 BILLION. land is running out of room and power for AI. so the next move is simple. go to the sea.

They are putting DATA CENTERS in the ocean now. Panthalassa, a startup from Portland, just raised $140 MILLION. what they do: build floating platforms that sit out at sea and run AI. no power grid needed. the ocean waves make all the electricity. the seawater keeps the chips cool. How it works: big floating balls bob up and down with the waves. that motion makes power. the power runs the AI chips inside. backed by PETER THIEL. company now worth almost $1 BILLION. land is running out of room and power for AI. so the next move is simple. go to the sea.

shirish

1,644,809 views • 1 month ago

The renewable energy company Panthalassa says it has a solution to the proliferation of AI data centers, which consume massive amounts of energy and are the cause of increased carbon pollution: sea-based data centers, powered by wave energy. David David Pogue examines what Panthalassa's alternative to land-based data centers may mean.

The renewable energy company Panthalassa says it has a solution to the proliferation of AI data centers, which consume massive amounts of energy and are the cause of increased carbon pollution: sea-based data centers, powered by wave energy. David David Pogue examines what Panthalassa's alternative to land-based data centers may mean.

CBS Sunday Morning 🌞

16,917 views • 3 months ago

The AI infrastructure race just went underwater. A Portland, Oregon startup called Panthalassa just raised $140 million in a Series B round led by Peter Thiel, the idea sounds wild until you understand the physics. Every AI data center on Earth has the same three problems, it needs massive amounts of electricity, it generates enormous heat that has to be cooled, and it requires land in places that are already running out of grid capacity. Panthalassa's answer is to eliminate all three constraints at once by taking the data center off the grid, off the land, and into the open ocean. And here's how it works, the company builds autonomous, self-propelled floating nodes made from plate steel, no anchor, no fuel, no cable to shore. As waves lift the platform, water is forced through an internal turbine, generating electricity continuously. That electricity runs AI inference chips onboard and the results go back to shore via low-Earth-orbit satellite. The surrounding ocean provides free supercooling, which one investor estimates could generate power at roughly two cents per kilowatt-hour. For context on why this matters, land based data centers spend up to 40% of their total energy budget just on cooling. Microsoft's Project Natick found that submerged servers had a failure rate of just 0.7% compared to 5.9% on land. The ocean doesn't just solve the cost problem but it solves the reliability problem too. Panthalassa's Ocean 3 pilot nodes are already under construction, with deployment in the northern Pacific targeted for August 2026 and commercial operations in 2027. The company has been building toward this for a decade with Ocean-1, Ocean-2, and Wavehopper prototypes already validated at sea, including a test in Puget Sound in 2024. The global underwater data center market was $3.2 billion in 2025 and is projected to reach $14.8 billion by 2034. China has already launched commercial-scale undersea data centers. The race to compute off the grid whether in space, underwater, or on the open ocean is no longer theoretical, it's being funded, permitted, and in Panthalassa's case, it's being built right now. The future is bright!

The AI infrastructure race just went underwater. A Portland, Oregon startup called Panthalassa just raised $140 million in a Series B round led by Peter Thiel, the idea sounds wild until you understand the physics. Every AI data center on Earth has the same three problems, it needs massive amounts of electricity, it generates enormous heat that has to be cooled, and it requires land in places that are already running out of grid capacity. Panthalassa's answer is to eliminate all three constraints at once by taking the data center off the grid, off the land, and into the open ocean. And here's how it works, the company builds autonomous, self-propelled floating nodes made from plate steel, no anchor, no fuel, no cable to shore. As waves lift the platform, water is forced through an internal turbine, generating electricity continuously. That electricity runs AI inference chips onboard and the results go back to shore via low-Earth-orbit satellite. The surrounding ocean provides free supercooling, which one investor estimates could generate power at roughly two cents per kilowatt-hour. For context on why this matters, land based data centers spend up to 40% of their total energy budget just on cooling. Microsoft's Project Natick found that submerged servers had a failure rate of just 0.7% compared to 5.9% on land. The ocean doesn't just solve the cost problem but it solves the reliability problem too. Panthalassa's Ocean 3 pilot nodes are already under construction, with deployment in the northern Pacific targeted for August 2026 and commercial operations in 2027. The company has been building toward this for a decade with Ocean-1, Ocean-2, and Wavehopper prototypes already validated at sea, including a test in Puget Sound in 2024. The global underwater data center market was $3.2 billion in 2025 and is projected to reach $14.8 billion by 2034. China has already launched commercial-scale undersea data centers. The race to compute off the grid whether in space, underwater, or on the open ocean is no longer theoretical, it's being funded, permitted, and in Panthalassa's case, it's being built right now. The future is bright!

Milk Road AI

133,232 views • 3 months ago

Colombia Staking is decentralizing Multiversᕽ, expanding the validation of transactions to new locations. No cloud data centers, 100% solar energy, resilient system with Starlink internet and 12h off grid backup electricity Stake with us and make MultiversX network stronger🔥

Colombia Staking is decentralizing Multiversᕽ, expanding the validation of transactions to new locations. No cloud data centers, 100% solar energy, resilient system with Starlink internet and 12h off grid backup electricity Stake with us and make MultiversX network stronger🔥

Colombia Staking

16,090 views • 2 years ago

The io.net (old account) network is growing. One of our data center partners is expanding their committed supply in the network with 72 A4000 GPUs. From supporting Apple silicon chips to bringing on top of the line hardware from data centers across the world, is creating the largest decentralized GPU network in the world to serve AI and ML workloads.

The io.net (old account) network is growing. One of our data center partners is expanding their committed supply in the network with 72 A4000 GPUs. From supporting Apple silicon chips to bringing on top of the line hardware from data centers across the world, is creating the largest decentralized GPU network in the world to serve AI and ML workloads.

io.net

288,227 views • 2 years ago

🚨 TEACHERS WERE TOLD TO TURN OFF THE LIGHTS FOR AI DATA CENTERS — AND THE STUDENTS WERE LEFT IN THE DARK This is the future they promised? Loudoun County, Virginia... one of the biggest data center hubs on Earth, welcomed 37 data centers. Then the AI boom arrived. The servers came online. The power demand exploded. Now schools are reportedly being told to cut energy use. Turn off lights. Unplug electronics. Conserve wherever possible. The facilities consuming enormous amounts of electricity keep expanding. The classrooms are being told to use less. Officials say it's about rising energy costs. But that's not the question many people are asking. The question is why the burden always seems to fall on everyone else. The data centers get built. The power demand rises. The electricity bills go up. And somehow the teachers and students are the ones being asked to make sacrifices. They said AI would transform society. Maybe it already is. Because every year it feels like the same story. The data centers need more power. The data centers need more water. The data centers need more land. The data centers keep growing. And ordinary people are told to adapt. First they built the data centers. Now the schools are turning off the lights. Who should get the electricity first: students or AI servers?

🚨 TEACHERS WERE TOLD TO TURN OFF THE LIGHTS FOR AI DATA CENTERS — AND THE STUDENTS WERE LEFT IN THE DARK This is the future they promised? Loudoun County, Virginia... one of the biggest data center hubs on Earth, welcomed 37 data centers. Then the AI boom arrived. The servers came online. The power demand exploded. Now schools are reportedly being told to cut energy use. Turn off lights. Unplug electronics. Conserve wherever possible. The facilities consuming enormous amounts of electricity keep expanding. The classrooms are being told to use less. Officials say it's about rising energy costs. But that's not the question many people are asking. The question is why the burden always seems to fall on everyone else. The data centers get built. The power demand rises. The electricity bills go up. And somehow the teachers and students are the ones being asked to make sacrifices. They said AI would transform society. Maybe it already is. Because every year it feels like the same story. The data centers need more power. The data centers need more water. The data centers need more land. The data centers keep growing. And ordinary people are told to adapt. First they built the data centers. Now the schools are turning off the lights. Who should get the electricity first: students or AI servers?

HustleBitch

23,460 views • 1 month ago

Elon Musk explains how data centers in Space could help the US compete with China in AI “Given that Chinese AI companies are doing as well as they are with a relatively small amount of compute, it seems that if they had a lot of compute, there’s a good chance they would be the leaders. The constraints on AI are essentially electricity and AI chips. China is very strong in digital AI, and it has far more electricity than the United States. In fact, China already has more electricity than the United States, Europe and India combined. The US government can prevent US companies from using Chinese models, but it can’t stop the rest of the world from using them. That won’t stop China from becoming the leader in AI. Digital intelligence comes down to how much AI compute, how many chips and how much electricity you have. The current constraint is electricity outside China. In China, the constraint is chips. China is also closer than most people realize to solving the lithography problem, which would enable it to make AI chips in very large volumes. Once we address the power constraint with AI data centers in space, the constraint will once again be chips outside China.”

Elon Musk explains how data centers in Space could help the US compete with China in AI “Given that Chinese AI companies are doing as well as they are with a relatively small amount of compute, it seems that if they had a lot of compute, there’s a good chance they would be the leaders. The constraints on AI are essentially electricity and AI chips. China is very strong in digital AI, and it has far more electricity than the United States. In fact, China already has more electricity than the United States, Europe and India combined. The US government can prevent US companies from using Chinese models, but it can’t stop the rest of the world from using them. That won’t stop China from becoming the leader in AI. Digital intelligence comes down to how much AI compute, how many chips and how much electricity you have. The current constraint is electricity outside China. In China, the constraint is chips. China is also closer than most people realize to solving the lithography problem, which would enable it to make AI chips in very large volumes. Once we address the power constraint with AI data centers in space, the constraint will once again be chips outside China.”

DogeDesigner

243,739 views • 14 days ago

🚨 NOW: In a major blow to the "experts," President Trump reveals US customers of American Electric Power will get $16 BILLION in electricity cost offsets by AI data centers — and more is coming "$16 BILLION. Think of that!" 👏🏻 He's singlehandedly blocking AI data centers from jacking up rates!

🚨 NOW: In a major blow to the "experts," President Trump reveals US customers of American Electric Power will get $16 BILLION in electricity cost offsets by AI data centers — and more is coming "$16 BILLION. Think of that!" 👏🏻 He's singlehandedly blocking AI data centers from jacking up rates!

Eric Daugherty

125,311 views • 14 days ago

The AI data crunch is here. Data centers are sucking more energy than entire cities. While fossil fuels are crippled by green restrictions and unicorn farts that don't work. Electric bills are already jumping 30% to 40%. With much worse to come.

The AI data crunch is here. Data centers are sucking more energy than entire cities. While fossil fuels are crippled by green restrictions and unicorn farts that don't work. Electric bills are already jumping 30% to 40%. With much worse to come.

Peter St Onge, Ph.D.

216,866 views • 8 months ago

AI may feel intangible, but its footprint is not. Data centres already consume more electricity than most countries. I’m calling on every major AI company to measure & publicly disclose the full footprint of its systems & to commit to power every data centre with renewable energy by 2030.

AI may feel intangible, but its footprint is not. Data centres already consume more electricity than most countries. I’m calling on every major AI company to measure & publicly disclose the full footprint of its systems & to commit to power every data centre with renewable energy by 2030.

António Guterres

115,564 views • 29 days ago

Introducing the Future of AI-Powered Sports Data with $FXI.⚡️ We’re not just talking about innovation, we’re building it. 🚀 From #AI-driven data capture to on-chain validation and data monetization, the FX1 ecosystem is rewriting the rules of the sports and data economy. Our platform empowers leagues, teams, and creators to unlock the full potential of their data with cutting-edge AI solutions. 🧠 Why FX1? ➡️ AI-Powered Precision: Transform raw sports data into actionable insights. ➡️ Data Validation on Chain: Building trust in the data economy through blockchain. ➡️ AI-Powered Revenue Streams: Use sports data to drive predictive analytics, odds modeling, and other high-value solutions that unlock new ways to monetize. FX1 is leading the charge in AI innovation, creating a seamless bridge between sports, blockchain, and the data economy. This isn’t just evolution - it’s a revolution. 💡 The future of sports is here. And it’s powered by AI. 🤖 Watch the full video and see how we’re turning vision into reality. 👇

Introducing the Future of AI-Powered Sports Data with $FXI.⚡️ We’re not just talking about innovation, we’re building it. 🚀 From #AI-driven data capture to on-chain validation and data monetization, the FX1 ecosystem is rewriting the rules of the sports and data economy. Our platform empowers leagues, teams, and creators to unlock the full potential of their data with cutting-edge AI solutions. 🧠 Why FX1? ➡️ AI-Powered Precision: Transform raw sports data into actionable insights. ➡️ Data Validation on Chain: Building trust in the data economy through blockchain. ➡️ AI-Powered Revenue Streams: Use sports data to drive predictive analytics, odds modeling, and other high-value solutions that unlock new ways to monetize. FX1 is leading the charge in AI innovation, creating a seamless bridge between sports, blockchain, and the data economy. This isn’t just evolution - it’s a revolution. 💡 The future of sports is here. And it’s powered by AI. 🤖 Watch the full video and see how we’re turning vision into reality. 👇

FX1

23,913 views • 1 year ago

“Peter Thiel is building a parallel justice system – powered by AI.” The billionaire co-founder of Palantir is funding a startup called Objection, where customers can pay to have journalists’ stories assessed for truthfulness by ‘juries’ of AI models. “AI is being weaponised so rich people can harass journalists if they don’t like an article,” says Harriet Williamson.

“Peter Thiel is building a parallel justice system – powered by AI.” The billionaire co-founder of Palantir is funding a startup called Objection, where customers can pay to have journalists’ stories assessed for truthfulness by ‘juries’ of AI models. “AI is being weaponised so rich people can harass journalists if they don’t like an article,” says Harriet Williamson.

Novara Media

24,488 views • 2 months ago

Most people don't realize the biggest bottleneck for AI isn't chips anymore, it's energy. And it's not even close. Greg Osuri, founder of Akash Network: "We have about $2 trillion in sovereign commitments, and most of that money is to develop energy infrastructure. But AI moves in months. Energy doesn't." "To get a transformer today, 4 to 7 years. Samsung has $150 billion in pending orders." "A nuclear reactor from permit to power takes about 15 years. Gas turbines? Same problem. Energy doesn't move as fast as data centers do." This is the dark horse that could slow down the entire AI boom.

Most people don't realize the biggest bottleneck for AI isn't chips anymore, it's energy. And it's not even close. Greg Osuri, founder of Akash Network: "We have about $2 trillion in sovereign commitments, and most of that money is to develop energy infrastructure. But AI moves in months. Energy doesn't." "To get a transformer today, 4 to 7 years. Samsung has $150 billion in pending orders." "A nuclear reactor from permit to power takes about 15 years. Gas turbines? Same problem. Energy doesn't move as fast as data centers do." This is the dark horse that could slow down the entire AI boom.

The Rollup

10,576 views • 5 months ago

From the data center to the ocean floor! 🌊 At Six Five Media's Summit 2025: AI Unleashed, JJ Davis (JJDavis), SVP of Corporate Affairs at Dell Technologies shared how Dell is tackling AI's biggest challenges. She detailed new liquid cooling innovations and unveiled Concept Astro, a pilot with Scripps Oceanographic Institute to make a data center grid-aware while accelerating coral reef research for ocean preservation. Discover how AI is powering sustainability in the full conversation:

From the data center to the ocean floor! 🌊 At Six Five Media's Summit 2025: AI Unleashed, JJ Davis (JJDavis), SVP of Corporate Affairs at Dell Technologies shared how Dell is tackling AI's biggest challenges. She detailed new liquid cooling innovations and unveiled Concept Astro, a pilot with Scripps Oceanographic Institute to make a data center grid-aware while accelerating coral reef research for ocean preservation. Discover how AI is powering sustainability in the full conversation:

Six Five Media

101,484 views • 11 months ago

Appreciate you Charles for having me on today! We covered: • $AMD emerging as the second source of the AI economy • My two favorite emerging market names for 2026: $MELI & $JMIA • $MU at the center of the next AI spend cycle as AI becomes memory-first • $NVDA laying out the blueprint for the operating system of the AI economy • $META & $AMZN winning in AI through distribution, data, and workflow control • $EOSE as a winner from AI data centers creating extreme load swings that long-duration zinc storage is built to handle

Appreciate you Charles for having me on today! We covered: • $AMD emerging as the second source of the AI economy • My two favorite emerging market names for 2026: $MELI & $JMIA • $MU at the center of the next AI spend cycle as AI becomes memory-first • $NVDA laying out the blueprint for the operating system of the AI economy • $META & $AMZN winning in AI through distribution, data, and workflow control • $EOSE as a winner from AI data centers creating extreme load swings that long-duration zinc storage is built to handle

Shay Boloor

252,570 views • 7 months ago

Byron Donalds is openly pushing for large AI data centers to be built across rural counties in Florida. He claims he has spoken with local leaders who all support bringing in a data center. He also says he is personally offended by the negative public reaction to data centers. Donalds has received millions of dollars from pro-AI Super PACs.

Byron Donalds is openly pushing for large AI data centers to be built across rural counties in Florida. He claims he has spoken with local leaders who all support bringing in a data center. He also says he is personally offended by the negative public reaction to data centers. Donalds has received millions of dollars from pro-AI Super PACs.

Shadow of Ezra

179,688 views • 3 months ago

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.

Future Stacked

52,003 views • 3 months ago