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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.... show more

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1,645,416 просмотров • 1 месяц назад •via X (Twitter)

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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.

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.

Space and Technology

498,684 просмотров • 11 дней назад

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 просмотров • 3 месяцев назад

$NVTS makes power semiconductors that help AI servers move electricity more efficiently down to the chips running the workloads If AI racks keep scaling to higher power levels then Navitas sits in picks-and-shovels layer of AI factory where power delivery becomes the bottleneck

$NVTS makes power semiconductors that help AI servers move electricity more efficiently down to the chips running the workloads If AI racks keep scaling to higher power levels then Navitas sits in picks-and-shovels layer of AI factory where power delivery becomes the bottleneck

Shay Boloor

116,684 просмотров • 2 месяцев назад

This is Amazon's new $11 billion AI data center campus in St. Joseph County, Indiana. It will draw 2.2 gigawatts of electricity - the output of a large power plant, enough to supply 1 million homes. For years the public was told energy had to be rationed: use less, dismantle reliable sources, accept scarcity - all to save the planet. That story has now been abandoned. AI requires massive continuous electricity to power the data centers, and AI is now seen as the superior control system. So energy is no longer a liability. It is a strategic necessity. Power will now come from wherever. Whatever works. Whatever scales. The climate narrative was tossed out the moment AI dominance became the new priority. Power was to be rationed. Now it is required. Power was the problem. Now it is the solution.

This is Amazon's new $11 billion AI data center campus in St. Joseph County, Indiana. It will draw 2.2 gigawatts of electricity - the output of a large power plant, enough to supply 1 million homes. For years the public was told energy had to be rationed: use less, dismantle reliable sources, accept scarcity - all to save the planet. That story has now been abandoned. AI requires massive continuous electricity to power the data centers, and AI is now seen as the superior control system. So energy is no longer a liability. It is a strategic necessity. Power will now come from wherever. Whatever works. Whatever scales. The climate narrative was tossed out the moment AI dominance became the new priority. Power was to be rationed. Now it is required. Power was the problem. Now it is the solution.

Electroverse

41,103 просмотров • 6 месяцев назад

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

244,339 просмотров • 24 дней назад

Compute at Sea Francois Chaubard AI is running out of compute, and data centers are running out of electricity and land. One possible solution is to move compute offshore. The ocean offers abundant space, sunlight, and natural cooling, opening the door to fleets of modular data centers operating together as a global cloud.

Compute at Sea Francois Chaubard AI is running out of compute, and data centers are running out of electricity and land. One possible solution is to move compute offshore. The ocean offers abundant space, sunlight, and natural cooling, opening the door to fleets of modular data centers operating together as a global cloud.

Y Combinator

64,621 просмотров • 25 дней назад

NEWS: SpaceX just made its AI space computer 67% more powerful, Elon Musk says The satellite is called AI1. It is basically a data center that floats in space and runs on sunlight instead of the power grid. Musk says its peak power is going up to ~250 kW, from 150 kW. Its average power is going up to 160 kW, from 120 kW. Why the boost. A single Nvidia Rubin NVL72 rack, 72 of Nvidia's newest AI chips, needs that much power to run. The bigger number means one AI1 can now handle a full rack. Musk's reasoning is simple. A GPU running all day uses about two-thirds of its peak power, even when it is very efficient. So the satellite has to be built for the peak. AI1 works with chips from any maker, not just Nvidia. SpaceX has filed to launch up to 1 million of these satellites. (Source: Elon Musk on X, July 16)

NEWS: SpaceX just made its AI space computer 67% more powerful, Elon Musk says The satellite is called AI1. It is basically a data center that floats in space and runs on sunlight instead of the power grid. Musk says its peak power is going up to ~250 kW, from 150 kW. Its average power is going up to 160 kW, from 120 kW. Why the boost. A single Nvidia Rubin NVL72 rack, 72 of Nvidia's newest AI chips, needs that much power to run. The bigger number means one AI1 can now handle a full rack. Musk's reasoning is simple. A GPU running all day uses about two-thirds of its peak power, even when it is very efficient. So the satellite has to be built for the peak. AI1 works with chips from any maker, not just Nvidia. SpaceX has filed to launch up to 1 million of these satellites. (Source: Elon Musk on X, July 16)

Muskonomy

56,507 просмотров • 1 месяц назад

$NVDA CEO Jensen Huang said it clearly AI data centers need gigawatts of power. Power availability decides where they get built & GPUs do nothing if the grid cannot feed them. Value is moving to the companies that build & control power for AI.

$NVDA CEO Jensen Huang said it clearly AI data centers need gigawatts of power. Power availability decides where they get built & GPUs do nothing if the grid cannot feed them. Value is moving to the companies that build & control power for AI.

Shay Boloor

362,058 просмотров • 9 месяцев назад

$What actually goes into a data center? Guru Chahal🇺🇸 whiteboards the entire stack - across land, power, cooling, storage, networking, compute - and shares where we're seeing the most interesting innovation + startup opportunities → Base Power: virtual power plants from residential batteries → Periodic Labs: using AI to discover new materials - ones that run cooler, conduct better, and waste less power → Nexthop AI: network switches that are 10–15% more power efficient than what's on the market → Unconventional AI: AI chips modeled after how the human brain works, targeting 100–1,000x better power efficiency → Ricursive Intelligence: AI to design chips. Today a first chip costs $100M and takes 2–3 years. They want to build in months, at a fraction of the cost → better materials → cheaper experiments → more chip designs → more efficient chips → less power → and what happens when you package all of this into a satellite and put it in orbit 🚀 As trillions of dollars of infrastructure flow into building the "AI factory", every layer of the intelligence economy is being rebuilt at once. Who are we missing? We'd love to meet if you are building somewhere on this stack.$

What actually goes into a data center? Guru Chahal🇺🇸 whiteboards the entire stack - across land, power, cooling, storage, networking, compute - and shares where we're seeing the most interesting innovation + startup opportunities → Base Power: virtual power plants from residential batteries → Periodic Labs: using AI to discover new materials - ones that run cooler, conduct better, and waste less power → Nexthop AI: network switches that are 10–15% more power efficient than what's on the market → Unconventional AI: AI chips modeled after how the human brain works, targeting 100–1,000x better power efficiency → Ricursive Intelligence: AI to design chips. Today a first chip costs $100M and takes 2–3 years. They want to build in months, at a fraction of the cost → better materials → cheaper experiments → more chip designs → more efficient chips → less power → and what happens when you package all of this into a satellite and put it in orbit 🚀 As trillions of dollars of infrastructure flow into building the "AI factory", every layer of the intelligence economy is being rebuilt at once. Who are we missing? We'd love to meet if you are building somewhere on this stack.

Claire Zau

41,288 просмотров • 17 дней назад

Trump: "Drug usage coming from the sea — they call it 'ocean drugs' — little term that they use — the ocean drugs — is very close to non-existent right now...So the ocean drugs and the sea drugs — 'drugs by sea' they call it, also — that's almost down to nothing."

Trump: "Drug usage coming from the sea — they call it 'ocean drugs' — little term that they use — the ocean drugs — is very close to non-existent right now...So the ocean drugs and the sea drugs — 'drugs by sea' they call it, also — that's almost down to nothing."

The Bulwark

234,034 просмотров • 9 месяцев назад

Great #ces2026 Report #7: The company inside the coolest AI products at CES. Makes low power AI chips inside a wide range of consumer products. Watches, rings, AI glasses, medical devices, all use their chips because they are best at running neural networks at very low power. I've been touring the suites all morning, getting a look at augmented reality AI glasses. It's quite clear that the Pickle glasses are not possible with today's technology, and I'll have a video up someday soon about that with several different vendors. So agree with others that it is selling something that isn’t currently possible to manufacture. I got a look at the latest state-of-the-art technologies that go into the glasses, and this is the first part of that. This gives you a lot of insights into the future.

Great #ces2026 Report #7: The company inside the coolest AI products at CES. Makes low power AI chips inside a wide range of consumer products. Watches, rings, AI glasses, medical devices, all use their chips because they are best at running neural networks at very low power. I've been touring the suites all morning, getting a look at augmented reality AI glasses. It's quite clear that the Pickle glasses are not possible with today's technology, and I'll have a video up someday soon about that with several different vendors. So agree with others that it is selling something that isn’t currently possible to manufacture. I got a look at the latest state-of-the-art technologies that go into the glasses, and this is the first part of that. This gives you a lot of insights into the future.

Robert Scoble

17,396 просмотров • 7 месяцев назад

Trump: "We're letting people build their own power plants. A lot of them are being built with the AI and beyond the AI. Chips. We're letting them build their own power. Never been done before ... they'll sort of be their own power company. They couldn't believe it when I told them that."

Trump: "We're letting people build their own power plants. A lot of them are being built with the AI and beyond the AI. Chips. We're letting them build their own power. Never been done before ... they'll sort of be their own power company. They couldn't believe it when I told them that."

Aaron Rupar

951,936 просмотров • 1 год назад

🇺🇸 CHARLIE KIRK LEGACY: BIBLE SALES ARE GROWING AND YOUNG AMERICANS ARE GOING BACK TO CHURCH America is trying to pull off a challenging combo move: beat everyone in the AI race and lower your electric bill at the same time. Sec. Howard Lutnick explains the Trump administration pitch to get 2 goals: more AI data centers and cheaper energy. If massive tech companies want to build power hungry data centers, they do not just take energy, they add energy too, according to Lutnick’s plan. That means more electricity on the grid, cheaper power nearby, and fewer locals feeling like big tech showed up, sucked resources dry, and left them with higher bills. AI growth, but with receipts. "If you're building a data center, you're going to give power to the grid and drive the energy costs of everybody around that data center lower. Trump is going to bring lower energy prices everywhere that a big tech company builds a big data center. Win the AI race, but drive down electricity costs so the people who live near those data centers are winners too." Source: Howard Lutnick

🇺🇸 CHARLIE KIRK LEGACY: BIBLE SALES ARE GROWING AND YOUNG AMERICANS ARE GOING BACK TO CHURCH America is trying to pull off a challenging combo move: beat everyone in the AI race and lower your electric bill at the same time. Sec. Howard Lutnick explains the Trump administration pitch to get 2 goals: more AI data centers and cheaper energy. If massive tech companies want to build power hungry data centers, they do not just take energy, they add energy too, according to Lutnick’s plan. That means more electricity on the grid, cheaper power nearby, and fewer locals feeling like big tech showed up, sucked resources dry, and left them with higher bills. AI growth, but with receipts. "If you're building a data center, you're going to give power to the grid and drive the energy costs of everybody around that data center lower. Trump is going to bring lower energy prices everywhere that a big tech company builds a big data center. Win the AI race, but drive down electricity costs so the people who live near those data centers are winners too." Source: Howard Lutnick

Mario Nawfal

13,831 просмотров • 7 месяцев назад

AOC: And what are they asking for now? Endless energy. These companies are so desperate to profit from the AI boom that they are racing to construct thousands of giant AI data centers, jacking up utility costs for everyday Americans to pay for them. These data centers power thousands of high-intensity computer chips that are processing constantly and require massive amounts of energy to operate. Just one hyperscale data center consumes the same amount of energy in one second as 100,000 households. Because of this massive energy use, power and water utility companies must build multibillion-dollar infrastructure to keep up with the demand.

AOC: And what are they asking for now? Endless energy. These companies are so desperate to profit from the AI boom that they are racing to construct thousands of giant AI data centers, jacking up utility costs for everyday Americans to pay for them. These data centers power thousands of high-intensity computer chips that are processing constantly and require massive amounts of energy to operate. Just one hyperscale data center consumes the same amount of energy in one second as 100,000 households. Because of this massive energy use, power and water utility companies must build multibillion-dollar infrastructure to keep up with the demand.

Acyn

35,659 просмотров • 4 месяцев назад

.David Sacks: "These advanced chips power everything. They power AI, they power your phone, they power your cars. And without them, the whole modern economy would stop. But they're not made in the United States. So for TSMC to move here is a huge, huge development."

.David Sacks: "These advanced chips power everything. They power AI, they power your phone, they power your cars. And without them, the whole modern economy would stop. But they're not made in the United States. So for TSMC to move here is a huge, huge development."

Chief Nerd

163,038 просмотров • 1 год назад

Jensen Huang $NVDA says the AI energy problem is overblown. “The grid runs ~60% of peak. 99% of the time there’s unused power.” The real opportunity isn’t more energy. It’s smarter data centers. $NBIS is already doing it. In the UK, with National Grid, $NVDA, and Emerald AI, they proved they can cut power usage by up to 40% in under a minute—without impacting critical workloads. Data centers are becoming a grid resource, not a liability. The more I study $NBIS, the more bullish I get.

Jensen Huang $NVDA says the AI energy problem is overblown. “The grid runs ~60% of peak. 99% of the time there’s unused power.” The real opportunity isn’t more energy. It’s smarter data centers. $NBIS is already doing it. In the UK, with National Grid, $NVDA, and Emerald AI, they proved they can cut power usage by up to 40% in under a minute—without impacting critical workloads. Data centers are becoming a grid resource, not a liability. The more I study $NBIS, the more bullish I get.

Daniel

98,660 просмотров • 4 месяцев назад

🇺🇸 A company that began with truck axles in 1911 is now one of the most critical bottlenecks in AI. Data centers are the most power-hungry buildings on earth, and Eaton is the only one trusted to route that high-voltage power safely. Their electrical orders have spiked more than 50% in the last year. Everyone is watching NVIDIA. Nobody is watching the company making sure those chips don’t burn the building down. Source: @christinacontent (YouTube)

🇺🇸 A company that began with truck axles in 1911 is now one of the most critical bottlenecks in AI. Data centers are the most power-hungry buildings on earth, and Eaton is the only one trusted to route that high-voltage power safely. Their electrical orders have spiked more than 50% in the last year. Everyone is watching NVIDIA. Nobody is watching the company making sure those chips don’t burn the building down. Source: @christinacontent (YouTube)

Mario Nawfal

40,206 просмотров • 2 месяцев назад

Crypto and AI all boils down to power. Everything else doesn’t matter. If you don’t have the power, you’re screwed. Half the data center announcements that you’ve heard of are never gonna get built. You heard it here first. They were all announced eighteen to twenty-four months ago, and they made the assumption that they were just gonna call up their local power authority and just attach to the grid. There’s no power left on the grid. So all of these guys that announced these data centers attached to the grid are gonna get told sorry, it’s not possible. And all those turbines are going to come onto the markets, and companies like BITZERO are gonna get them because they have the contracts for sub six cents.

Crypto and AI all boils down to power. Everything else doesn’t matter. If you don’t have the power, you’re screwed. Half the data center announcements that you’ve heard of are never gonna get built. You heard it here first. They were all announced eighteen to twenty-four months ago, and they made the assumption that they were just gonna call up their local power authority and just attach to the grid. There’s no power left on the grid. So all of these guys that announced these data centers attached to the grid are gonna get told sorry, it’s not possible. And all those turbines are going to come onto the markets, and companies like BITZERO are gonna get them because they have the contracts for sub six cents.

Kevin O'Leary aka Mr. Wonderful

102,857 просмотров • 6 месяцев назад

Jensen Huang is warning that China is winning the AI energy race. $NVDA $AMD $IREN $NBIS 🇨🇳 🇺🇸 🇪🇺 The US is generations ahead on chips, but that doesn't matter if there is no energy to power them. Europe is completely irrelevant in AI and doomed already. It takes 10 years to build a new data center in Germany, as there is no power, and they are turning off nuclear power plants. The US won't let China win, so we could be at the beginning stages of an energy boom. The question is which stocks will benefit from this boom the most?

Jensen Huang is warning that China is winning the AI energy race. $NVDA $AMD $IREN $NBIS 🇨🇳 🇺🇸 🇪🇺 The US is generations ahead on chips, but that doesn't matter if there is no energy to power them. Europe is completely irrelevant in AI and doomed already. It takes 10 years to build a new data center in Germany, as there is no power, and they are turning off nuclear power plants. The US won't let China win, so we could be at the beginning stages of an energy boom. The question is which stocks will benefit from this boom the most?

Ray Myers

84,029 просмотров • 8 месяцев назад

🇺🇸 AI IS PUSHING AMERICA’S POWER GRID TO THE BRINK - TRUMP ADMIN SAYS IT’S GO TIME The U.S. power grid - built for a world of lightbulbs and radios - is now being asked to power AI data centers, electrified factories, and a surging high-tech economy. And it’s not ready yet. At the Pennsylvania Energy and Innovation Summit, Trump, his Cabinet, and energy leaders declared the grid crisis urgent. They're calling for a national overhaul as AI threatens to double electricity demand in the coming decades. Energy Secretary Chris Wright: "The grid we have today wasn’t built for the world we’re entering. We need a grid that grows with the economy, not one that holds it back." Source: Fox News

🇺🇸 AI IS PUSHING AMERICA’S POWER GRID TO THE BRINK - TRUMP ADMIN SAYS IT’S GO TIME The U.S. power grid - built for a world of lightbulbs and radios - is now being asked to power AI data centers, electrified factories, and a surging high-tech economy. And it’s not ready yet. At the Pennsylvania Energy and Innovation Summit, Trump, his Cabinet, and energy leaders declared the grid crisis urgent. They're calling for a national overhaul as AI threatens to double electricity demand in the coming decades. Energy Secretary Chris Wright: "The grid we have today wasn’t built for the world we’re entering. We need a grid that grows with the economy, not one that holds it back." Source: Fox News

Mario Nawfal

163,341 просмотров • 1 год назад