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What needs to happen for space-based data centers to scale? Lower launch costs and reusable systems could enable AI compute in orbit, easing terrestrial constraints and expanding infrastructure. Watch the "Big Ideas 2026" webinar to learn more. ARK Invest Europe

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🚨BREAKING: Sam Altman criticizes Elon Musk’s plan to put AI data centers in space. Says launch costs make it impractical and orbital compute will not scale this decade.
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Starcloud (starcloud_inc1) recently made history by launching a satellite with an NVIDIA H100 into orbit — the first time a GPU that powerful has ever operated in space. It's the first step toward building AI data centers in orbit, powered by continuous sunlight and cooled by radiating heat into deep space. Their approach could one day rival the world's biggest data centers while using less energy, zero fresh water, and far lower emissions. YC's Aaron Epstein visited Starcloud's HQ, where co-founders , Ezra Feilden, and Adrian Andrei Oltean explained how they built a working prototype in just 15 months — and why big tech is racing to space for AI compute.
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Y Combinator

317,219 просмотров • 7 месяцев назад

Elon just created the most valuable private company in history. And the VISION behind this move is going to win him the AI race. Yesterday, SpaceX and xAI combined in a $1.25 TRILLION deal, But this isn’t just a merger. Elon is literally solving AI’s biggest bottleneck: AI needs INSANE amounts of electricity. Every major AI company is hitting the same wall: Power constraints. OpenAI, Google, Anthropic are all racing to build bigger data centers. But they're all stuck on Earth fighting for the same limited power grid. Elon's solution: Move the data centers to SPACE. Last Friday, SpaceX filed with the FCC to launch up to 1 MILLION satellites. Not for internet. For compute. Solar-powered AI data centers in orbit that run 24/7 with zero cooling costs and unlimited energy from the sun. Look: On Earth, you need massive power plants, cooling systems, and infrastructure that costs billions and takes years to build. But in space? You have direct solar power. No cooling needed. Near-constant sunlight. According to Elon: "Within 2-3 years, space will be the lowest-cost way to generate AI compute." The numbers behind this are crazy: SpaceX made $8 billion profit on $15 billion revenue in 2025. xAI was valued at $230 billion standalone. Combined entity: $1.25 trillion heading into what could be the biggest IPO in history. And here's why this actually makes sense: SpaceX already dominates launches. 80% of their revenue comes from launching Starlink satellites. They've perfected reusable rockets. Launch costs keep dropping. Now instead of just launching communication satellites, they're launching compute infrastructure. xAI gets unlimited scalable compute without fighting for power grid access. SpaceX gets a customer that will need constant satellite refreshes and launches for decades. The vertical integration is incredible: SpaceX builds and launches the satellites. xAI runs the AI models on them. Grok gets trained on infrastructure no competitor can access. Starlink provides the communication backbone. Nobody else can replicate this. OpenAI can't launch rockets. Google can't either. What you have to understand about the upcoming IPO: This isn't just "rocket company goes public." It's "AI infrastructure company that happens to own the launch capability" goes public. Investors get exposure to both the AI race AND space commercialization in one ticker. That's why the $1.25 trillion valuation makes sense to Wall Street. Now here's the rational take: This is extremely ambitious. Maybe too ambitious. xAI is burning $1 billion per month right now competing with OpenAI. Space-based data centers have never been done at scale. The satellite constellation would be the largest in history by 100X. Technical challenges are massive. Regulatory approval isn't guaranteed. But if it works? Elon isn't just winning the AI race. He's changing WHERE the race happens. Imagine training AI models with 10X the compute power at 1/10th the cost because you're not constrained by Earth's power grid. That's game over for competition. The timeline to watch: Mid-2026: SpaceX/xAI IPO (largest in history) Late 2026: First orbital compute satellites launch 2027-2028: Proof of concept for space-based AI training If this actually delivers, we're looking at: The first trillion-dollar private company IPO. A new category of infrastructure (orbital compute). AI development unconstrained by terrestrial power limits. If it doesn't deliver? Well, it's still SpaceX with $8B in annual profit and dominance in launch services. Plus xAI with a $230B valuation and Grok. The risk-reward here is asymmetric. Downside: You own the world's most valuable rocket company. Upside: You own the infrastructure layer for all future AI development. Do you think datacenters in space could work?
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Ricardo

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🚨 Sam Altman Throws Shade at Elon’s Vision of Putting Data Centers in Space “Putting data centers in space is ridiculous … Do the very rough math of launch costs relative to the cost of power we can do on Earth … Orbital data centers are not something that's going to matter at scale this decade.”
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🚨 Sam Altman Throws Shade at Elon’s Vision of Putting Data Centers in Space “Putting data centers in space is ridiculous … Do the very rough math of launch costs relative to the cost of power we can do on Earth … Orbital data centers are not something that's going to matter at scale this decade.”

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Sam Altman just called Elon Musk’s plan for AI data centers in space “ridiculous” in the current landscape—citing brutal launch costs and the hassle of orbital repairs. But history has a clear rule: never bet against Elon. Reusable rockets? Pipe dream—until they weren’t. Electric cars dominating? Laughable—until they did. Space-based compute? Watch this space. Altman might learn the hard way that what sounds absurd today becomes inevitable tomorrow. “I honestly think the idea, with the current landscape, of putting data centers in space is ridiculous.” — Sam Altman (via recent interview) Altman’s point on today’s math is fair—orbital setups aren’t scaling this decade. But Musk’s roadmap (Starship slashing costs, Starlink-scale networks, xAI + SpaceX integration) is built to rewrite that math entirely. History favors the bold dreamer over the cautious calculator. 🚀
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Sam Altman just called Elon Musk’s plan for AI data centers in space “ridiculous” in the current landscape—citing brutal launch costs and the hassle of orbital repairs. But history has a clear rule: never bet against Elon. Reusable rockets? Pipe dream—until they weren’t. Electric cars dominating? Laughable—until they did. Space-based compute? Watch this space. Altman might learn the hard way that what sounds absurd today becomes inevitable tomorrow. “I honestly think the idea, with the current landscape, of putting data centers in space is ridiculous.” — Sam Altman (via recent interview) Altman’s point on today’s math is fair—orbital setups aren’t scaling this decade. But Musk’s roadmap (Starship slashing costs, Starlink-scale networks, xAI + SpaceX integration) is built to rewrite that math entirely. History favors the bold dreamer over the cautious calculator. 🚀

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With a remarkable year of innovation behind us, Cathie Wood looks back on the advances that defined 2025 and shares her optimism for what lies ahead. Happy New Year from ARK Invest and ARK Invest Europe! Stay tuned for Big Ideas 2026, coming soon.
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With a remarkable year of innovation behind us, Cathie Wood looks back on the advances that defined 2025 and shares her optimism for what lies ahead. Happy New Year from ARK Invest and ARK Invest Europe! Stay tuned for Big Ideas 2026, coming soon.

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Elon Musk just explained why the SpaceX IPO is an energy story and the energy constraint is why he believes space becomes the only viable path for AI to scale (Save this). The argument he is making is one of the most important and least understood things happening in technology right now. The United States currently consumes roughly 500 gigawatts of electricity on average. To double that capacity which is what continued AI expansion on the current terrestrial trajectory would eventually require would mean building as many power plants as currently exist in the entire country. He is not arguing that this is technically impossible, just that communities are not willing to accept it, that permitting timelines make it unrealistic, and that the hard ceiling on Earth based power generation means the expansion of AI compute will eventually hit a wall that no amount of capital can overcome on the ground. His observation is that in space, that wall does not exist. A solar panel in orbit produces roughly five times more power than the same panel on Earth, operates in continuous sunlight uninterrupted by weather or nighttime, and benefits from the vacuum of space as a completely passive cooling system meaning the two largest operating costs of any terrestrial data center, energy and cooling, are effectively eliminated. He then said that you could theoretically increase harnessed energy by a factor of one million and still be using less than a millionth of the sun's total energy output. This is the underlying physics of why SpaceX filed with the FCC to launch up to one million solar powered AI satellites, and why they described that constellation in their own filing as a first step toward becoming a Kardashev Type II civilization capable of harnessing the full power of the sun. To understand what makes this credible rather than visionary, you need to understand what SpaceX already controls that no other company on earth possesses. Starship, once operating at full cadence, can deliver 100 to 150 tons of payload to orbit per launch, at a target cost per kilogram that is an order of magnitude lower than any existing vehicle. Musk's stated ambition is to scale Starship to 10,000 to 30,000 launches per year, a frequency that would allow the deployment of orbital compute infrastructure at a pace that is currently unimaginable with any existing rocket. He told xAI staff earlier this year that achieving space-based AI at scale will eventually require manufacturing facilities on the moon, building solar panels and heat dissipation structures from lunar silicon and aluminum, and launching them into orbit from there rather than from Earth's surface because the moon's lower gravity makes the economics of launch dramatically more favorable. SpaceX's S-1 filing explicitly states that its launch capabilities could enable massive AI compute satellite constellations with the potential for millions of satellites for orbital data centers, with the first launch potentially occurring as soon as 2028. Google and Alphabet are already in advanced talks with SpaceX about deploying space-based data centers. Starcloud, a startup running Nvidia H100 GPUs in orbit, has already validated that high-performance AI inference workloads can operate in space, with plans to scale to five gigawatts of orbital compute power by 2035. This is why Musk believes the cost crossover happens in two to three years because SpaceX's launch cost trajectory intersects with the accelerating energy constraint on the ground in a way that makes space genuinely cheaper, faster, and less regulated at exactly the moment AI demand is hitting its hardest physical limits.
1:01

Elon Musk just explained why the SpaceX IPO is an energy story and the energy constraint is why he believes space becomes the only viable path for AI to scale (Save this). The argument he is making is one of the most important and least understood things happening in technology right now. The United States currently consumes roughly 500 gigawatts of electricity on average. To double that capacity which is what continued AI expansion on the current terrestrial trajectory would eventually require would mean building as many power plants as currently exist in the entire country. He is not arguing that this is technically impossible, just that communities are not willing to accept it, that permitting timelines make it unrealistic, and that the hard ceiling on Earth based power generation means the expansion of AI compute will eventually hit a wall that no amount of capital can overcome on the ground. His observation is that in space, that wall does not exist. A solar panel in orbit produces roughly five times more power than the same panel on Earth, operates in continuous sunlight uninterrupted by weather or nighttime, and benefits from the vacuum of space as a completely passive cooling system meaning the two largest operating costs of any terrestrial data center, energy and cooling, are effectively eliminated. He then said that you could theoretically increase harnessed energy by a factor of one million and still be using less than a millionth of the sun's total energy output. This is the underlying physics of why SpaceX filed with the FCC to launch up to one million solar powered AI satellites, and why they described that constellation in their own filing as a first step toward becoming a Kardashev Type II civilization capable of harnessing the full power of the sun. To understand what makes this credible rather than visionary, you need to understand what SpaceX already controls that no other company on earth possesses. Starship, once operating at full cadence, can deliver 100 to 150 tons of payload to orbit per launch, at a target cost per kilogram that is an order of magnitude lower than any existing vehicle. Musk's stated ambition is to scale Starship to 10,000 to 30,000 launches per year, a frequency that would allow the deployment of orbital compute infrastructure at a pace that is currently unimaginable with any existing rocket. He told xAI staff earlier this year that achieving space-based AI at scale will eventually require manufacturing facilities on the moon, building solar panels and heat dissipation structures from lunar silicon and aluminum, and launching them into orbit from there rather than from Earth's surface because the moon's lower gravity makes the economics of launch dramatically more favorable. SpaceX's S-1 filing explicitly states that its launch capabilities could enable massive AI compute satellite constellations with the potential for millions of satellites for orbital data centers, with the first launch potentially occurring as soon as 2028. Google and Alphabet are already in advanced talks with SpaceX about deploying space-based data centers. Starcloud, a startup running Nvidia H100 GPUs in orbit, has already validated that high-performance AI inference workloads can operate in space, with plans to scale to five gigawatts of orbital compute power by 2035. This is why Musk believes the cost crossover happens in two to three years because SpaceX's launch cost trajectory intersects with the accelerating energy constraint on the ground in a way that makes space genuinely cheaper, faster, and less regulated at exactly the moment AI demand is hitting its hardest physical limits.

Milk Road AI

12,140 просмотров • 5 дней 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 • 5 месяцев назад

AI data centers are projected to use more energy than the country of Japan. Trump’s solution is beautiful: Force AI companies to build their own power. Meanwhile, Elon applies to launch one *million* satellites to put AI data centers in space.
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AI data centers are projected to use more energy than the country of Japan. Trump’s solution is beautiful: Force AI companies to build their own power. Meanwhile, Elon applies to launch one *million* satellites to put AI data centers in space.

Peter St Onge, Ph.D.

120,212 просмотров • 4 месяцев назад

Elon on why the Moon is the key bridge to becoming multi-planetary: “We can build a self-growing city on the Moon faster than Mars. No atmosphere + 1/6th gravity = perfect for railguns/mass drivers to launch AI data centers into deep space using Moon materials. Could scale to 1,000+ terawatts of space-based AI compute. Plus… Moon vacations would be epic.” Visionary stuff from Elon🔥 Source: J.P. Morgan
1:44

Elon on why the Moon is the key bridge to becoming multi-planetary: “We can build a self-growing city on the Moon faster than Mars. No atmosphere + 1/6th gravity = perfect for railguns/mass drivers to launch AI data centers into deep space using Moon materials. Could scale to 1,000+ terawatts of space-based AI compute. Plus… Moon vacations would be epic.” Visionary stuff from Elon🔥 Source: J.P. Morgan

Mario Nawfal

174,348 просмотров • 8 дней назад

$RKLB partner Starcloud is building data centers in orbit & about to launch $NVDA H100s into space for the first time in a few weeks 👀
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$RKLB partner Starcloud is building data centers in orbit & about to launch $NVDA H100s into space for the first time in a few weeks 👀

Shay Boloor

138,220 просмотров • 8 месяцев назад

Today Mecka is announcing $60M in funding to become the data and deployment layer for physical AI This raise will allow us to scale our data infrastructure, invest into new verticals, and deploy robots into the real world
1:31

Today Mecka is announcing $60M in funding to become the data and deployment layer for physical AI This raise will allow us to scale our data infrastructure, invest into new verticals, and deploy robots into the real world

Josh

304,193 просмотров • 11 дней назад

Elon Musk is building orbital data centers. Sam Altman just called the idea ridiculous. One of them is thinking in decades. The other is thinking in quarters. Altman: “I honestly think the idea with the current landscape of putting data centers in space is ridiculous.” The math he’s running is real. Launch costs are brutal. Power economics favor earth. GPUs break and you can’t send a technician to orbit. Altman: “If you just do the very rough math of launch costs relative to the cost of power we can do on Earth, to say nothing of how you’re going to fix a broken GPU in space, and they do break a lot still unfortunately.” He’s not wrong about today. He might be wrong about what today’s constraints tell us about tomorrow. Altman: “We are not there yet. Orbital data centers are not something it’s going to matter at scale this decade.” This decade. That’s the qualifier doing all the work. Musk has never been in the business of optimizing for this decade. He’s in the business of building infrastructure everyone calls ridiculous until it becomes inevitable. They called reusable rockets ridiculous. Until Falcon 9 landed itself. And the entire economics of space changed overnight. Orbital compute has the same logic underneath it. No land constraints. No permits. No power grid politics. Unlimited solar energy. Positioned anywhere on earth within milliseconds. The launch costs that make it unviable today are the same launch costs Starship is designed to collapse by orders of magnitude. Altman is doing the math on the current landscape. Musk is building a different landscape entirely. When the person who made rockets reusable tells you space infrastructure is coming, that’s not a vision. That’s a roadmap.
1:59

Elon Musk is building orbital data centers. Sam Altman just called the idea ridiculous. One of them is thinking in decades. The other is thinking in quarters. Altman: “I honestly think the idea with the current landscape of putting data centers in space is ridiculous.” The math he’s running is real. Launch costs are brutal. Power economics favor earth. GPUs break and you can’t send a technician to orbit. Altman: “If you just do the very rough math of launch costs relative to the cost of power we can do on Earth, to say nothing of how you’re going to fix a broken GPU in space, and they do break a lot still unfortunately.” He’s not wrong about today. He might be wrong about what today’s constraints tell us about tomorrow. Altman: “We are not there yet. Orbital data centers are not something it’s going to matter at scale this decade.” This decade. That’s the qualifier doing all the work. Musk has never been in the business of optimizing for this decade. He’s in the business of building infrastructure everyone calls ridiculous until it becomes inevitable. They called reusable rockets ridiculous. Until Falcon 9 landed itself. And the entire economics of space changed overnight. Orbital compute has the same logic underneath it. No land constraints. No permits. No power grid politics. Unlimited solar energy. Positioned anywhere on earth within milliseconds. The launch costs that make it unviable today are the same launch costs Starship is designed to collapse by orders of magnitude. Altman is doing the math on the current landscape. Musk is building a different landscape entirely. When the person who made rockets reusable tells you space infrastructure is coming, that’s not a vision. That’s a roadmap.

Dustin

28,002 просмотров • 3 месяцев назад

Elon Musk just unveiled SpaceXAI's first AI satellite. • 150 kW peak power / 120 kW sustained compute power • 150 kW solar array using SpaceX-manufactured solar technology • Centralized AI compute payload designed for high-performance AI workloads • 70-meter wingspan when fully deployed • 110 m² deployable liquid radiators to remove waste heat in space • Redundant cooling loops with integrated micrometeoroid shielding • Designed to launch on Starship, enabling the mass-to-orbit needed for large-scale space computing • Uses laser links while avoiding many of the complex communications systems required by Starlink satellites • SpaceX believes future versions can scale far beyond this first design Elon Musk says the path to scaling AI in space requires 3 things: • Massive launch capability (Starship) • Enormous solar power generation • Large radiators to reject heat from AI chips He also suggested that truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, implying millions of tons of infrastructure in orbit.
2:38

Elon Musk just unveiled SpaceXAI's first AI satellite. • 150 kW peak power / 120 kW sustained compute power • 150 kW solar array using SpaceX-manufactured solar technology • Centralized AI compute payload designed for high-performance AI workloads • 70-meter wingspan when fully deployed • 110 m² deployable liquid radiators to remove waste heat in space • Redundant cooling loops with integrated micrometeoroid shielding • Designed to launch on Starship, enabling the mass-to-orbit needed for large-scale space computing • Uses laser links while avoiding many of the complex communications systems required by Starlink satellites • SpaceX believes future versions can scale far beyond this first design Elon Musk says the path to scaling AI in space requires 3 things: • Massive launch capability (Starship) • Enormous solar power generation • Large radiators to reject heat from AI chips He also suggested that truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, implying millions of tons of infrastructure in orbit.

DogeDesigner

134,929 просмотров • 4 дней назад