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This is the next big plan for SpaceX: AI Data Centers in Space. • To achieve even a small fraction of a Kardashev Type II civilization (harnessing the full energy of the Sun), AI compute will require orders of magnitude more energy than Earth can ever provide. • Earth...

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Nic Cruz Patane

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49,019 次观看 • 7 个月前 •via X (Twitter)

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Elon Musk predicts AI compute in space could become cheaper than terrestrial AI far sooner than most people expect....possibly within just 2–3 years Because solar panels in orbit can generate roughly 5x more usable energy than on Earth because there’s: • No atmosphere blocking sunlight • No day-night cycle • No seasonal variation • Continuous exposure to the Sun • Far higher solar energy efficiency than on Earth Space-based solar can eventually become cheaper than terrestrial solar because you don’t need massive protective structures, heavy glass, or weather-resistant infrastructure And once launch costs fall low enough with fully reusable rockets like Starship, deploying AI clusters in orbit could become economically compelling The future of AI will scale with solar-powered compute infrastructure operating directly in space
1:10

Elon Musk predicts AI compute in space could become cheaper than terrestrial AI far sooner than most people expect....possibly within just 2–3 years Because solar panels in orbit can generate roughly 5x more usable energy than on Earth because there’s: • No atmosphere blocking sunlight • No day-night cycle • No seasonal variation • Continuous exposure to the Sun • Far higher solar energy efficiency than on Earth Space-based solar can eventually become cheaper than terrestrial solar because you don’t need massive protective structures, heavy glass, or weather-resistant infrastructure And once launch costs fall low enough with fully reusable rockets like Starship, deploying AI clusters in orbit could become economically compelling The future of AI will scale with solar-powered compute infrastructure operating directly in space

X Freeze

20,148 次观看 • 2 个月前

ELON MUSK: "If civilization continues, A.I in space is inevitable. In order to achieve any meaningful percentage of a Kardashev II scale civilization where you're using even a millionth of the sun's energy, you must have solar powered AI satellites in deep space. My estimate is that the cost of electricity, like the cost effectiveness of AI in space, will be overwhelmingly better than AI on the ground. You actually don't need batteries, because it's always sunny in space and the solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative."
4:30

ELON MUSK: "If civilization continues, A.I in space is inevitable. In order to achieve any meaningful percentage of a Kardashev II scale civilization where you're using even a millionth of the sun's energy, you must have solar powered AI satellites in deep space. My estimate is that the cost of electricity, like the cost effectiveness of AI in space, will be overwhelmingly better than AI on the ground. You actually don't need batteries, because it's always sunny in space and the solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative."

DogeDesigner

9,304,141 次观看 • 7 个月前

Elon Musk and Jensen Huang on A.I. In Space: "If civilization continues, A.I in space is inevitable. In order to achieve any meaningful percentage of a Kardashev II scale civilization where you're using even a millionth of the sun's energy, you must have solar powered AI satellites in deep space. My estimate is that the cost of electricity, like the cost effectiveness of AI in space, will be overwhelmingly better than AI on the ground. You actually don't need batteries, because it's always sunny in space and the solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative."
4:30

Elon Musk and Jensen Huang on A.I. In Space: "If civilization continues, A.I in space is inevitable. In order to achieve any meaningful percentage of a Kardashev II scale civilization where you're using even a millionth of the sun's energy, you must have solar powered AI satellites in deep space. My estimate is that the cost of electricity, like the cost effectiveness of AI in space, will be overwhelmingly better than AI on the ground. You actually don't need batteries, because it's always sunny in space and the solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative."

DogeDesigner

51,314 次观看 • 8 个月前

The cheapest place to put AI will be space. Elon Musk says solar panels in space produce 5 times more power than on the ground. No atmosphere, no clouds, no day-night cycle. No batteries needed. And critically, no permits. Scaling energy on Earth means fighting land use regulations, environmental reviews, and grid interconnection queues that take years. Space has none of that. The math gets wild fast. SpaceX could launch hundreds of gigawatts of AI compute into orbit annually. That's more compute than currently exists on Earth. Ten thousand Starship launches per year. One launch every hour. And you only need 20 to 30 ships to sustain that cadence. Earth gets about half a billionth of the Sun's total energy output. A millionth of the Sun's energy is 100,000 times all of civilization's current electricity production. The AI race is not a software race. It is a power plant race. And software people are about to get a very hard lesson in hardware.
2:19

The cheapest place to put AI will be space. Elon Musk says solar panels in space produce 5 times more power than on the ground. No atmosphere, no clouds, no day-night cycle. No batteries needed. And critically, no permits. Scaling energy on Earth means fighting land use regulations, environmental reviews, and grid interconnection queues that take years. Space has none of that. The math gets wild fast. SpaceX could launch hundreds of gigawatts of AI compute into orbit annually. That's more compute than currently exists on Earth. Ten thousand Starship launches per year. One launch every hour. And you only need 20 to 30 ships to sustain that cadence. Earth gets about half a billionth of the Sun's total energy output. A millionth of the Sun's energy is 100,000 times all of civilization's current electricity production. The AI race is not a software race. It is a power plant race. And software people are about to get a very hard lesson in hardware.

Shruti

11,700 次观看 • 1 个月前

Elon Musk said the same thing. Space will be the most efficient place for AI compute. Earth systems are limited by cooling and power. For a 2 ton GPU rack 1.95 ton is cooling mass. Space provides 24/7 solar, no need for batteries, and easier cooling.
2:15

Elon Musk said the same thing. Space will be the most efficient place for AI compute. Earth systems are limited by cooling and power. For a 2 ton GPU rack 1.95 ton is cooling mass. Space provides 24/7 solar, no need for batteries, and easier cooling.

Rohan Paul

88,821 次观看 • 8 个月前

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."
1:41

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 次观看 • 8 个月前

Elon Musk: Why a 1 Terawatt AI is impossible on Earth?? "My estimate is that the cost-effectiveness of AI in space will be overwhelmingly better than AI on the ground. So, long before you exhaust potential energy sources on Earth, meaning perhaps in the four or five-year timeframe, the lowest cost way to do AI compute will be with solar-powered AI satellites. I'd say not more than five years from now Just look at the supercomputers we're building together. Let's say each rack is two tons; out of that two tons, 1.95 of it is probably for cooling. Just imagine how tiny that little supercomputer is Electricity generation is already becoming a challenge. If you start doing any kind of scaling for both electricity generation and cooling, you realize space is incredibly compelling Let's say you wanted to do 200 or 300 gigawatts per year of AI compute. It's very difficult to do that on Earth. The US average electricity usage, last time I checked, was around 460 gigawatts per year. So, if you're doing 300 gigawatts a year, that would be like two-thirds of US electricity production per year. There's no way you're building power plants at that level And then if you take it up to a Terawatt per year, impossible. You have to do that in space In space, you've got continuous solar. You don't need batteries because it's always sunny. The solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative"
2:27

Elon Musk: Why a 1 Terawatt AI is impossible on Earth?? "My estimate is that the cost-effectiveness of AI in space will be overwhelmingly better than AI on the ground. So, long before you exhaust potential energy sources on Earth, meaning perhaps in the four or five-year timeframe, the lowest cost way to do AI compute will be with solar-powered AI satellites. I'd say not more than five years from now Just look at the supercomputers we're building together. Let's say each rack is two tons; out of that two tons, 1.95 of it is probably for cooling. Just imagine how tiny that little supercomputer is Electricity generation is already becoming a challenge. If you start doing any kind of scaling for both electricity generation and cooling, you realize space is incredibly compelling Let's say you wanted to do 200 or 300 gigawatts per year of AI compute. It's very difficult to do that on Earth. The US average electricity usage, last time I checked, was around 460 gigawatts per year. So, if you're doing 300 gigawatts a year, that would be like two-thirds of US electricity production per year. There's no way you're building power plants at that level And then if you take it up to a Terawatt per year, impossible. You have to do that in space In space, you've got continuous solar. You don't need batteries because it's always sunny. The solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative"

X Freeze

446,406 次观看 • 8 个月前

Elon Musk: The lowest cost place to put AI data centers will be space ---- “The lowest cost place to put AI will be space. I think the case is a no-brainer for building AI, solar-powered AI data centers in space because, as you mentioned, it's also very cold in space. If you're in the shadow, then it's very cold in space, just 3 degrees Kelvin. So you just have your solar panels facing the Sun and then a radiator that's like pointed away from the Sun, so it has no Sun incidence and then it's just cooling. It's a very efficient cooling system. So the net effect is that the lowest cost place to put AI will be space and that'll be true within two years, maybe three, three at the latest.”
0:44

Elon Musk: The lowest cost place to put AI data centers will be space ---- “The lowest cost place to put AI will be space. I think the case is a no-brainer for building AI, solar-powered AI data centers in space because, as you mentioned, it's also very cold in space. If you're in the shadow, then it's very cold in space, just 3 degrees Kelvin. So you just have your solar panels facing the Sun and then a radiator that's like pointed away from the Sun, so it has no Sun incidence and then it's just cooling. It's a very efficient cooling system. So the net effect is that the lowest cost place to put AI will be space and that'll be true within two years, maybe three, three at the latest.”

Beanie👾

1,098,152 次观看 • 6 个月前

Elon Musk: Thanks to Starship, we'll be able to move AI to deep space. “I see a path to Starship cost-per-ton-to-orbit being lower than air flight. That opens up a very wide range of possibilities. The most obvious one I think is actually solar-powered AI satellites. So, to move the AI to orbit and essentially deep space over time, because you can actually access over a billion times more energy from the sun in deep space than you can on Earth. To scale to Kardashev, to make any progress on a Kardashev 2 scale, which is using some non-trivial amount of energy from the sun, you kind of have to do space solar power. You could only beam a tiny amount of that back to Earth or you would melt Earth. Earth actually receives a very, very tiny amount of the sun's energy. I mean, Earth is a tiny dust mote. Earth, to scale with the sun, we look like a little crumb. So, to scale civilization, to be at all relevant on a Kardashev 2 scale, like to even use a millionth of a percent of the Sun's energy, you really have to have your solar power in deep space.” Tesla Shareholder Meeting, November 6, 2025
1:27

Elon Musk: Thanks to Starship, we'll be able to move AI to deep space. “I see a path to Starship cost-per-ton-to-orbit being lower than air flight. That opens up a very wide range of possibilities. The most obvious one I think is actually solar-powered AI satellites. So, to move the AI to orbit and essentially deep space over time, because you can actually access over a billion times more energy from the sun in deep space than you can on Earth. To scale to Kardashev, to make any progress on a Kardashev 2 scale, which is using some non-trivial amount of energy from the sun, you kind of have to do space solar power. You could only beam a tiny amount of that back to Earth or you would melt Earth. Earth actually receives a very, very tiny amount of the sun's energy. I mean, Earth is a tiny dust mote. Earth, to scale with the sun, we look like a little crumb. So, to scale civilization, to be at all relevant on a Kardashev 2 scale, like to even use a millionth of a percent of the Sun's energy, you really have to have your solar power in deep space.” Tesla Shareholder Meeting, November 6, 2025

ELON CLIPS

14,003 次观看 • 8 个月前

ELON MUSK: If you want million times more energy, then you must go to space "The way to think of AI in space is that in order to achieve any meaningful percentage of a Kardashev Type 2 civilization, where you are using even a millionth of the sun's energy, you must have solar-powered AI satellites in deep space Once you think in terms of a Kardashev Type 2 civilization, which is 'what percentage of the sun's energy are you turning into useful work,' then it becomes obvious that space is overwhelmingly what matters Earth only receives roughly one two-billionth of the sun's energy. So, if you want to have something that is, say, a million times more energy than Earth could possibly produce, you must go into space. And so, it’s kind of handy to have a space company, I guess"
1:00

ELON MUSK: If you want million times more energy, then you must go to space "The way to think of AI in space is that in order to achieve any meaningful percentage of a Kardashev Type 2 civilization, where you are using even a millionth of the sun's energy, you must have solar-powered AI satellites in deep space Once you think in terms of a Kardashev Type 2 civilization, which is 'what percentage of the sun's energy are you turning into useful work,' then it becomes obvious that space is overwhelmingly what matters Earth only receives roughly one two-billionth of the sun's energy. So, if you want to have something that is, say, a million times more energy than Earth could possibly produce, you must go into space. And so, it’s kind of handy to have a space company, I guess"

X Freeze

84,033 次观看 • 8 个月前

Here's Elon Musk explaining why we'll have to move AI to deep space. “I see a path to Starship cost-per-ton-to-orbit being lower than air flight. That opens up a very wide range of possibilities. The most obvious one I think is actually solar-powered AI satellites. So, to move the AI to orbit and essentially deep space over time, because you can actually access over a billion times more energy from the sun in deep space than you can on Earth. To scale to Kardashev, to make any progress on a Kardashev 2 scale, which is using some non-trivial amount of energy from the sun, you kind of have to do space solar power. You could only beam a tiny amount of that back to Earth or you would melt Earth. Earth actually receives a very, very tiny amount of the sun's energy. I mean, Earth is a tiny dust mote. Earth, to scale with the sun, we look like a little crumb. So, to scale civilization, to be at all relevant on a Kardashev 2 scale, like to even use a millionth of a percent of the Sun's energy, you really have to have your solar power in deep space.” Tesla Shareholder Meeting, November 6, 2025
1:26

Here's Elon Musk explaining why we'll have to move AI to deep space. “I see a path to Starship cost-per-ton-to-orbit being lower than air flight. That opens up a very wide range of possibilities. The most obvious one I think is actually solar-powered AI satellites. So, to move the AI to orbit and essentially deep space over time, because you can actually access over a billion times more energy from the sun in deep space than you can on Earth. To scale to Kardashev, to make any progress on a Kardashev 2 scale, which is using some non-trivial amount of energy from the sun, you kind of have to do space solar power. You could only beam a tiny amount of that back to Earth or you would melt Earth. Earth actually receives a very, very tiny amount of the sun's energy. I mean, Earth is a tiny dust mote. Earth, to scale with the sun, we look like a little crumb. So, to scale civilization, to be at all relevant on a Kardashev 2 scale, like to even use a millionth of a percent of the Sun's energy, you really have to have your solar power in deep space.” Tesla Shareholder Meeting, November 6, 2025

ELON CLIPS

30,799 次观看 • 8 个月前

ELON: TO SCALE CIVILIZATION, WE’LL HAVE TO MOVE AI TO DEEP SPACE “I see a path to Starship cost-per-ton-to-orbit being lower than air flight. That opens up a very wide range of possibilities. The most obvious one I think is actually solar-powered AI satellites. To move the AI to orbit and essentially deep space over time, because you can actually access over a billion times more energy from the sun in deep space than you can on Earth. To make any progress on a Kardashev 2 scale, which is using some non-trivial amount of energy from the sun, you kind of have to do space solar power. You could only beam a tiny amount of that back to Earth or you would melt Earth. Earth actually receives a very, very tiny amount of the sun's energy. Earth is a tiny dust mote. Tto scale with the sun, we look like a little crumb. So, to scale civilization, to be at all relevant on a Kardashev 2 scale, like to even use a millionth of a percent of the Sun's energy, you really have to have your solar power in deep space.” Source: Tesla Shareholder Meeting, November 6, 2025
1:27

ELON: TO SCALE CIVILIZATION, WE’LL HAVE TO MOVE AI TO DEEP SPACE “I see a path to Starship cost-per-ton-to-orbit being lower than air flight. That opens up a very wide range of possibilities. The most obvious one I think is actually solar-powered AI satellites. To move the AI to orbit and essentially deep space over time, because you can actually access over a billion times more energy from the sun in deep space than you can on Earth. To make any progress on a Kardashev 2 scale, which is using some non-trivial amount of energy from the sun, you kind of have to do space solar power. You could only beam a tiny amount of that back to Earth or you would melt Earth. Earth actually receives a very, very tiny amount of the sun's energy. Earth is a tiny dust mote. Tto scale with the sun, we look like a little crumb. So, to scale civilization, to be at all relevant on a Kardashev 2 scale, like to even use a millionth of a percent of the Sun's energy, you really have to have your solar power in deep space.” Source: Tesla Shareholder Meeting, November 6, 2025

Mario Nawfal

1,587,594 次观看 • 8 个月前

"The way to think of AI in space is that in order to achieve any meaningful percentage of a Kardashev 2 scale civilization where you're using even a millionth of a billionth of the sun's energy. You must have solar powered AI satellites and in deep space." - Elon Musk The Kardashev Scale: Type I Civilization: capable of using all the energy available on its planet. Type II Civilization: capable of harnessing all the energy emitted by its star. Type III Civilization: capable of using all the energy available in its galaxy. by Grok Imagine
1:22

"The way to think of AI in space is that in order to achieve any meaningful percentage of a Kardashev 2 scale civilization where you're using even a millionth of a billionth of the sun's energy. You must have solar powered AI satellites and in deep space." - Elon Musk The Kardashev Scale: Type I Civilization: capable of using all the energy available on its planet. Type II Civilization: capable of harnessing all the energy emitted by its star. Type III Civilization: capable of using all the energy available in its galaxy. by Grok Imagine

Déborah

11,246 次观看 • 7 个月前

Elon Musk says Space will be the lowest cost place to put AI within the next 2–3 years: “It’s a no brainer for building Solar-Powered AI Data Centers in space because, as you mentioned, it’s also very cold in space. If you’re in the shadow, then it’s very cold, just three degrees Kelvin. So you just have solar panels facing the sun and then a radiator that’s pointed away from the sun, so it has no sun incidence, and then it’s just cooling. It’s a very efficient cooling system. So, net effect is that the lowest cost place to put AI will be space, and that’ll be true within two years, maybe three at the latest.”
0:48

Elon Musk says Space will be the lowest cost place to put AI within the next 2–3 years: “It’s a no brainer for building Solar-Powered AI Data Centers in space because, as you mentioned, it’s also very cold in space. If you’re in the shadow, then it’s very cold, just three degrees Kelvin. So you just have solar panels facing the sun and then a radiator that’s pointed away from the sun, so it has no sun incidence, and then it’s just cooling. It’s a very efficient cooling system. So, net effect is that the lowest cost place to put AI will be space, and that’ll be true within two years, maybe three at the latest.”

Nic Cruz Patane

115,879 次观看 • 6 个月前

ELON MUSK: Kardashev-Scale civilization will need Moon Bases and Mass Drivers. To reach a Kardashev-scale future for AI, humanity need space-based infrastructure including Moon bases, mass drivers, and large-scale solar power systems. Future AI may require energy at a scale far beyond what Earth can easily support. Solar-powered AI satellites launched from Earth could potentially generate terawatt-level power, but would require around 10 million tons of payload to orbit every year. That level of infrastructure could produce around twice the annual electricity use of the United States for AI power. The idea is not limited by physics; the real challenge is building at a massive enough scale. Lunar infrastructure could unlock petawatt-scale solar-powered AI, making Earth’s current economy look small by comparison.
1:49

ELON MUSK: Kardashev-Scale civilization will need Moon Bases and Mass Drivers. To reach a Kardashev-scale future for AI, humanity need space-based infrastructure including Moon bases, mass drivers, and large-scale solar power systems. Future AI may require energy at a scale far beyond what Earth can easily support. Solar-powered AI satellites launched from Earth could potentially generate terawatt-level power, but would require around 10 million tons of payload to orbit every year. That level of infrastructure could produce around twice the annual electricity use of the United States for AI power. The idea is not limited by physics; the real challenge is building at a massive enough scale. Lunar infrastructure could unlock petawatt-scale solar-powered AI, making Earth’s current economy look small by comparison.

DogeDesigner

17,792 次观看 • 2 个月前

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 次观看 • 1 个月前

ELON MUSK: “The way to expand compute is really in space. There’s a lot of room in space. And if you look at the size of Earth relative to the Sun or relative to the Solar System, you realize just how tiny it is. We’re very, very tiny. We only receive about half a billionth of the Sun’s energy. So you can really think of Earth as being like a tiny dust mote in a vast darkness. So the way to expand compute without, you know, using up all the land on Earth is to do so in space. And then you can do it without using space for power and water on Earth; you can just do it in space. So I think we’ll probably be launching our first AI satellites next year, and then we’ll be able to do that, I think, at large scale in about two years.”
1:08

ELON MUSK: “The way to expand compute is really in space. There’s a lot of room in space. And if you look at the size of Earth relative to the Sun or relative to the Solar System, you realize just how tiny it is. We’re very, very tiny. We only receive about half a billionth of the Sun’s energy. So you can really think of Earth as being like a tiny dust mote in a vast darkness. So the way to expand compute without, you know, using up all the land on Earth is to do so in space. And then you can do it without using space for power and water on Earth; you can just do it in space. So I think we’ll probably be launching our first AI satellites next year, and then we’ll be able to do that, I think, at large scale in about two years.”

DogeDesigner

65,218 次观看 • 22 天前

Elon Musk explains why put AI data center into space: cost of the energy. 1. Scalability: Harder to scale solar farm on ground due to regulations 2. Effectiveness: No atmosphere, clouds, day night cycle or seasonality in space. 3. No batteries needed: It's always sunny in space, no batteries needed for the night.
1:00

Elon Musk explains why put AI data center into space: cost of the energy. 1. Scalability: Harder to scale solar farm on ground due to regulations 2. Effectiveness: No atmosphere, clouds, day night cycle or seasonality in space. 3. No batteries needed: It's always sunny in space, no batteries needed for the night.

Doge Tipping

21,712 次观看 • 4 个月前

Elon Musk explaining why we’ll need solar-powered AI satellites in space within the next five years. Not because it sounds futuristic, but because Earth simply can’t generate the energy needed for what’s coming. AI alone could require 300 gigawatts of power every year To put that into perspective, that’s almost two-thirds of the entire U.S. electricity output, just for AI. And scaling up to a terawatt per year? That’s beyond what Earth’s grids and infrastructure can handle. Space is the only place with the endless power supply AI will demand.
0:51

Elon Musk explaining why we’ll need solar-powered AI satellites in space within the next five years. Not because it sounds futuristic, but because Earth simply can’t generate the energy needed for what’s coming. AI alone could require 300 gigawatts of power every year To put that into perspective, that’s almost two-thirds of the entire U.S. electricity output, just for AI. And scaling up to a terawatt per year? That’s beyond what Earth’s grids and infrastructure can handle. Space is the only place with the endless power supply AI will demand.

SMX 🇺🇸

33,351 次观看 • 8 个月前

ELON MUSK: Earth is Tiny. The Future is Space. Human civilization uses only a tiny fraction of the Sun’s energy. Even if humanity used a million times more energy, it would still be extremely small compared to the Sun’s power. The Sun dominates the solar system, holding around 99.8% of its total mass. Everything outside the Sun is almost insignificant when measured against the Sun’s scale and energy. Earth-based civilization has a natural limit because our planet’s resources are small compared to what exists in space. To grow civilization in a truly meaningful way, humanity has to expand beyond Earth. Space is not optional for long-term growth — it is the next step for civilization.
1:41

ELON MUSK: Earth is Tiny. The Future is Space. Human civilization uses only a tiny fraction of the Sun’s energy. Even if humanity used a million times more energy, it would still be extremely small compared to the Sun’s power. The Sun dominates the solar system, holding around 99.8% of its total mass. Everything outside the Sun is almost insignificant when measured against the Sun’s scale and energy. Earth-based civilization has a natural limit because our planet’s resources are small compared to what exists in space. To grow civilization in a truly meaningful way, humanity has to expand beyond Earth. Space is not optional for long-term growth — it is the next step for civilization.

DogeDesigner

20,921,769 次观看 • 2 个月前