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Think bigger than data centers. Much bigger. Elon Musk just unveiled SpaceXAI's first AI satellite, a spacecraft designed specifically for running AI workloads in orbit. The satellite features 150 kW of solar power, a 70-meter wingspan and massive radiators to dump heat into space, solving one of the biggest... show more

Tesla Owners Silicon Valley

1,442,761 subscribers

19,221 views • 3 months ago •via X (Twitter)

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25 Comments

H 🐂🀄️3 months ago

sir, question tesla or cybertruck

Kelvin Li3 months ago

Hopefully SpaceX will overwhelmingly dominate the future AI market. Prayer for Elon and SpaceX

SmartViewAI.Com3 months ago

The race for AI dominance may eventually leave Earth.

Rita Frase3 months ago

This man is incredible and tireless to think about the future of our world and then also to realize it.

Razvan Caraghin3 months ago

Cool simple design. A base to iterate on🔥

Mattia Rizzi3 months ago

@SpaceX #AI 1 satellite cannot work as a GW datacenter. Each satellite carries the equivalent of *half* rack of compute. In space it occupies 70meter times 20. You need 10000 of AI1 to make a datacenter. Each satellite must be spaced at least 10km. Latency? Astronomical

Margie3 months ago

I really admire this man.

Stanley3 months ago

💯

Musema Ballo Ulala3 months ago

Elon Musk is still working wonders in our world. Elon Musk never sleeps. He never stops researching. He never stops inventing. I am sure that in his lifetime, his generation will visit space. All I wish for him is longevity and health.

Widdy Wahyu3 months ago

👍🏻👍🏻

rooster (story of a meme) 🦖3 months ago

Dogeus maximums . @DogeusMaximusX 🐶⚔️. ..

mad3 months ago

Only a few accounts on here with new messages

steffi parihar3 months ago

🫡🫡🫡😍😍😍

August Wittorp3 months ago

Question do you think this looks like a good collaboration between human and AI I built Quantum Thermal Architecture, a pre-hardware scientific simulation and validation framework for a mode-separated cryogenic / LCVD / sensing system. The key idea is not that it claims hardware success — it explicitly prevents that. The framework is designed around zero fake PASS states: results remain BLOCKED, CONDITIONAL, UNKNOWN, DERIVED_CHECK, or NOT_IMPLEMENTED unless real measurements exist. I’ve been using frontier models as copilots, especially Claude-style workflows, while constraining them against hallucinated validation, unsupported physics claims, and hidden assumptions and drift Also got that message from a Nvidia community manager after he saw project post

AstraXLabs3 months ago

the race for AI dominance is literally leaving Earth at this point lmfao. elon building an orbital AI infrastructure is some straight up sci-fi movie shit fr 🚀👽

Jason傑森 🇭🇰 | 🛠️3 months ago

太空搞AI

Capybara $CAPY3 months ago

Buy the new launched token on solona

Stellarix3 months ago

The concept of orbital AI infrastructure is intriguing because space offers abundant solar energy and a cold background for radiative cooling. However, enormous challenges remain, including launch costs, maintenance, communications latency, radiation protection, and constructing millions of tons of infrastructure in orbit. Such systems remain highly speculative.

spicydonut3 months ago

🔥❤️‍🔥🔥❤️‍🔥🔥❤️‍🔥

InShane763 months ago

Hey @grok, what weight savings will be realized when CR-SNFM is implemented on these orbital data centers, and what other improvements do you see being likley? #CRSNFM

AnDyDeFi ⚡3 months ago

Amazing

Acoba May3 months ago

👍👍👍

Klaudia3 months ago

Don’t worry may Ketu has no close to Disk xd

steffi parihar3 months ago

♥️😍🫡

Rozsival3 months ago

👍🙌🙌🙌

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Elon says Earth gets a microscopic slice of solar output. The Sun carries 99.8% of the mass. Earth barely makes the chart. We’re arguing over crumbs while the buffet is in orbit. Scale civilization? Scale power in space. Elon Musk

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71,902 views • 3 months ago

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Muskonomy

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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.

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

12,738 views • 3 months ago

ELON MUSK: "The most obvious one is actually solar powered AI satellites, sort of to move the AI to orbit and essentially deep space over time, because there you can actually access over a billion times more energy from the sun in deep space than you can on Earth. The scaling to Kardashev, which is using some non trivial amount of energy from the sun. You kind of have to do space solar power. Like to even use a millionth of a percent of the sun's energy you you really have to be have your solar power in deep space."

ELON MUSK: "The most obvious one is actually solar powered AI satellites, sort of to move the AI to orbit and essentially deep space over time, because there you can actually access over a billion times more energy from the sun in deep space than you can on Earth. The scaling to Kardashev, which is using some non trivial amount of energy from the sun. You kind of have to do space solar power. Like to even use a millionth of a percent of the sun's energy you you really have to be have your solar power in deep space."

DogeDesigner

266,777 views • 10 months ago

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.

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 views • 7 months ago

Elon Musk just confirmed the most INSANE IPO in history. SpaceX is going public in 2026. $1.5 TRILLION valuation. Raising $30+ billion. That's the biggest IPO ever made. Beating Saudi Aramco's $29 billion record from 2019. But here's what everyone's missing: This isn't about space tourism or Mars missions. Elon is literally about to win the entire AI race. And 99% of people have no idea how... Here's the problem killing every AI company right now: POWER. Oracle just reported earnings. They burned through $12 BILLION in one quarter building data centers. Their free cash flow? NEGATIVE $10 billion. Revenue missed estimates. Stock crashed 11%. Microsoft, Amazon, Google all scrambling to find enough electricity for AI training. The brutal math: The US generates 490 gigawatts of total power. AI is projected to need 123 gigawatts by 2035. That's a QUARTER of the entire electrical grid. Just for artificial intelligence. Goldman Sachs says AI energy demand could jump 165% by 2030. There is literally not enough power on Earth to run AI at the scale these companies are promising. Every data center needs massive cooling systems. Billions of gallons of water per year. Insane energy costs. And the infrastructure can't keep up. Elon's solution? Stop building on Earth entirely. SpaceX is building data centers in SPACE. Not a concept. Not 10 years out. Literally starting in 2026. They're upgrading Starlink V3 satellites to carry AI computing chips. Each satellite gets 24/7 solar power. No clouds. No night. No weather disruptions. No grid bottlenecks. And the insane part is that Starship can deliver 300 to 500 gigawatts of solar-powered AI satellites into orbit every single year. At 300 gigawatts per year, the AI computing power in space would exceed the entire U.S. economy's total electricity consumption within two years. Just from satellites. Processing in orbit. While Oracle is begging banks for loans to finish data centers and OpenAI is stuck in circular funding arrangements with Microsoft, Elon already owns everything: The rockets. The satellites. The launch infrastructure. The AI company (xAI). He doesn't need to ask utilities for permission. Doesn't need grid approvals from local governments. Doesn't need to build nuclear plants or wait for clean energy. He just launches. And everyone else is scrambling to catch up: Jeff Bezos sees it. Blue Origin announced they're building their own orbital data centers. Google just launched "Project Suncatcher" with plans to deploy AI satellites by 2027. Eric Schmidt, the former CEO of Google, literally BOUGHT an entire rocket company (Relativity Space) just to compete in this space. But they're all 3+ years behind Elon. SpaceX already has 6,000+ Starlink satellites in orbit. The infrastructure is built. The $30 billion from the IPO? Going straight into scaling orbital compute. SpaceX revenue is jumping from $15 billion in 2025 to $24 billion in 2026. Most of that from Starlink. Now add space-based AI infrastructure on top. Here's why this matters: Whoever controls orbital computing controls the AI revolution. And there's only ONE company on Earth with fully reusable rockets that can launch at the scale required. Jensen Huang, Nvidia's CEO, called space data centers "a dream." Translation: Nvidia is screwed if Elon actually pulls this off. Because if SpaceX succeeds, every AI company on the planet becomes Elon's customer. OpenAI needs compute? Running on SpaceX satellites. Google needs more capacity? Renting orbital infrastructure. Microsoft needs power? Paying SpaceX for launch and compute access. Elon won't just be in the AI race. He'll own the entire track everyone else is running on. The $1.5 trillion valuation sounds crazy until you realize what he's actually building. It's not a rocket company. It's the infrastructure layer for the next 50 years of computing. People calling it overvalued have no idea what's coming.

Elon Musk just confirmed the most INSANE IPO in history. SpaceX is going public in 2026. $1.5 TRILLION valuation. Raising $30+ billion. That's the biggest IPO ever made. Beating Saudi Aramco's $29 billion record from 2019. But here's what everyone's missing: This isn't about space tourism or Mars missions. Elon is literally about to win the entire AI race. And 99% of people have no idea how... Here's the problem killing every AI company right now: POWER. Oracle just reported earnings. They burned through $12 BILLION in one quarter building data centers. Their free cash flow? NEGATIVE $10 billion. Revenue missed estimates. Stock crashed 11%. Microsoft, Amazon, Google all scrambling to find enough electricity for AI training. The brutal math: The US generates 490 gigawatts of total power. AI is projected to need 123 gigawatts by 2035. That's a QUARTER of the entire electrical grid. Just for artificial intelligence. Goldman Sachs says AI energy demand could jump 165% by 2030. There is literally not enough power on Earth to run AI at the scale these companies are promising. Every data center needs massive cooling systems. Billions of gallons of water per year. Insane energy costs. And the infrastructure can't keep up. Elon's solution? Stop building on Earth entirely. SpaceX is building data centers in SPACE. Not a concept. Not 10 years out. Literally starting in 2026. They're upgrading Starlink V3 satellites to carry AI computing chips. Each satellite gets 24/7 solar power. No clouds. No night. No weather disruptions. No grid bottlenecks. And the insane part is that Starship can deliver 300 to 500 gigawatts of solar-powered AI satellites into orbit every single year. At 300 gigawatts per year, the AI computing power in space would exceed the entire U.S. economy's total electricity consumption within two years. Just from satellites. Processing in orbit. While Oracle is begging banks for loans to finish data centers and OpenAI is stuck in circular funding arrangements with Microsoft, Elon already owns everything: The rockets. The satellites. The launch infrastructure. The AI company (xAI). He doesn't need to ask utilities for permission. Doesn't need grid approvals from local governments. Doesn't need to build nuclear plants or wait for clean energy. He just launches. And everyone else is scrambling to catch up: Jeff Bezos sees it. Blue Origin announced they're building their own orbital data centers. Google just launched "Project Suncatcher" with plans to deploy AI satellites by 2027. Eric Schmidt, the former CEO of Google, literally BOUGHT an entire rocket company (Relativity Space) just to compete in this space. But they're all 3+ years behind Elon. SpaceX already has 6,000+ Starlink satellites in orbit. The infrastructure is built. The $30 billion from the IPO? Going straight into scaling orbital compute. SpaceX revenue is jumping from $15 billion in 2025 to $24 billion in 2026. Most of that from Starlink. Now add space-based AI infrastructure on top. Here's why this matters: Whoever controls orbital computing controls the AI revolution. And there's only ONE company on Earth with fully reusable rockets that can launch at the scale required. Jensen Huang, Nvidia's CEO, called space data centers "a dream." Translation: Nvidia is screwed if Elon actually pulls this off. Because if SpaceX succeeds, every AI company on the planet becomes Elon's customer. OpenAI needs compute? Running on SpaceX satellites. Google needs more capacity? Renting orbital infrastructure. Microsoft needs power? Paying SpaceX for launch and compute access. Elon won't just be in the AI race. He'll own the entire track everyone else is running on. The $1.5 trillion valuation sounds crazy until you realize what he's actually building. It's not a rocket company. It's the infrastructure layer for the next 50 years of computing. People calling it overvalued have no idea what's coming.

Ricardo

2,909,604 views • 9 months ago

NEWS: SpaceX has detailed Starmind, its plan for up to 1 million AI compute satellites in orbit, on a new website. Starmind moves AI data centers into space. Each satellite runs AI compute in orbit and beams results to Earth through Starlink lasers. The satellites draw constant solar power and cool for free in the vacuum. SpaceX filed that plan with the FCC in January. The first satellite, AI1, carries 150 kW of peak compute and spans 70 meters. Starship will carry 30 to 50 AI1 satellites per launch. SpaceX will build them at a new Gigasat factory in Bastrop, Texas. The AI chips come from a planned SpaceX and Tesla fab called Terafab. Two prototypes target early 2027, with thousands of satellites from late 2027.

NEWS: SpaceX has detailed Starmind, its plan for up to 1 million AI compute satellites in orbit, on a new website. Starmind moves AI data centers into space. Each satellite runs AI compute in orbit and beams results to Earth through Starlink lasers. The satellites draw constant solar power and cool for free in the vacuum. SpaceX filed that plan with the FCC in January. The first satellite, AI1, carries 150 kW of peak compute and spans 70 meters. Starship will carry 30 to 50 AI1 satellites per launch. SpaceX will build them at a new Gigasat factory in Bastrop, Texas. The AI chips come from a planned SpaceX and Tesla fab called Terafab. Two prototypes target early 2027, with thousands of satellites from late 2027.

Muskonomy

26,421 views • 2 months ago

ELON MUSK ANNOUNCED A CHIP FACTORY 10 TIMES THE SIZE OF TESLA'S GIGAFACTORY 🤯 HE CALLS IT THE TERAFAB. THE ENTIRE GLOBAL AI CHIP INDUSTRY IS ON TRACK TO PRODUCE AROUND 100 GIGAWATTS OF COMPUTE PER YEAR. MUSK WANTS A SINGLE FACTORY TO PRODUCE 1 TERAWATT PER YEAR. THAT'S 10X THE OUTPUT OF THE ENTIRE GLOBAL INDUSTRY. THE GOAL? BUILD ENOUGH AI COMPUTE TO POWER ORBITAL DATA CENTERS. MOST PEOPLE THINK IT'S A DECADE AWAY. MUSK THINKS IT STARTS NEXT YEAR. THIS IS ABSOLUTELY CRAZY.

ELON MUSK ANNOUNCED A CHIP FACTORY 10 TIMES THE SIZE OF TESLA'S GIGAFACTORY 🤯 HE CALLS IT THE TERAFAB. THE ENTIRE GLOBAL AI CHIP INDUSTRY IS ON TRACK TO PRODUCE AROUND 100 GIGAWATTS OF COMPUTE PER YEAR. MUSK WANTS A SINGLE FACTORY TO PRODUCE 1 TERAWATT PER YEAR. THAT'S 10X THE OUTPUT OF THE ENTIRE GLOBAL INDUSTRY. THE GOAL? BUILD ENOUGH AI COMPUTE TO POWER ORBITAL DATA CENTERS. MOST PEOPLE THINK IT'S A DECADE AWAY. MUSK THINKS IT STARTS NEXT YEAR. THIS IS ABSOLUTELY CRAZY.

Vivek Sen

84,878 views • 1 month ago

🚨 ELON MUSK JUST PUT A DEADLINE ON EARTH - "30 MONTHS LEFT. MARK MY WORDS” On a podcast, Elon Musk doesn’t speculate, he timestamps the future. He says AI cannot scale on Earth the way it can in space. Period. Solar power in orbit is ~5× more effective and radically cheaper without batteries. Once launch costs fall, Earth based data centers become legacy infrastructure overnight. Cooling limits. Land limits. Borders. Regulation. None of it matters anymore. Then he says it out loud: "30 to 36 months. Mark my words." After that, the cheapest, fastest, most dominant place to run AI is orbit - not nations, not continents, not Earth. This isn’t a prediction. It’s a countdown. Is Elon solving a problem governments are too slow to even recognize?

🚨 ELON MUSK JUST PUT A DEADLINE ON EARTH - "30 MONTHS LEFT. MARK MY WORDS” On a podcast, Elon Musk doesn’t speculate, he timestamps the future. He says AI cannot scale on Earth the way it can in space. Period. Solar power in orbit is ~5× more effective and radically cheaper without batteries. Once launch costs fall, Earth based data centers become legacy infrastructure overnight. Cooling limits. Land limits. Borders. Regulation. None of it matters anymore. Then he says it out loud: "30 to 36 months. Mark my words." After that, the cheapest, fastest, most dominant place to run AI is orbit - not nations, not continents, not Earth. This isn’t a prediction. It’s a countdown. Is Elon solving a problem governments are too slow to even recognize?

HustleBitch

2,992,955 views • 7 months ago

🚨 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.”

🚨 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.”

Chief Nerd

261,788 views • 7 months ago

Elon Musk says he has mapped out a plan to put a 100 gigawatts per year of solar-powered AI satellites into orbit. “We see a path to putting a hundred gigawatts per year of solar powered Al satellite into orbit, and having this be actually the lowest cost way to power and operate Al at a very large scale. For reference, the United States consumes roughly 460 gigawatts on average per year. We have a plan mapped out to do so. It gets crazy.”

Elon Musk says he has mapped out a plan to put a 100 gigawatts per year of solar-powered AI satellites into orbit. “We see a path to putting a hundred gigawatts per year of solar powered Al satellite into orbit, and having this be actually the lowest cost way to power and operate Al at a very large scale. For reference, the United States consumes roughly 460 gigawatts on average per year. We have a plan mapped out to do so. It gets crazy.”

Nic Cruz Patane

267,484 views • 10 months ago