Загрузка видео...

Не удалось загрузить видео

На главную

In a newly released technical update, SpaceX's leadership team, which includes communications manager Dan Huot, Director of Satellite Engineering Ian Dahl, and CEO Elon Musk, detailed a highly ambitious infrastructure roadmap to design, manufacture, and operate specialized artificial intelligence computing satellites at scale. Positioned as a major strategic pillar...

tslaming's profile picture

Ming

35,532 subscribers

22,203 просмотров • 1 месяц назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Elon Musk announced a chip factory 10 times the size of Tesla's Gigafactory. The goal is to produce enough AI compute to equal twice the entire electricity consumption of the United States. He called it the Terafab. Here is the number that stopped me cold. The entire global AI chip industry right now is on track to hit around 100 gigawatts per year of compute. Every Nvidia GPU, every Google TPU, every chip from every company on earth combined. 100 gigawatts. Musk wants one factory to produce a terawatt per year. A terawatt is 1,000 gigawatts. Ten times the output of the entire global industry. From a single building. To put the scale in physical terms, the Terafab would need to be around 100 million square feet. You would need Starship point to point transport just to get from one end to the other. But the reason for the scale is not ambition for its own sake. To launch meaningful AI compute into space, you need a billion chips per year running at a kilowatt each. That is not a number the current industry can produce. The Terafab is the only way to get there. The timeline he put out: a gigawatt of space AI compute annualized by end of next year. Then 10x per year from there. 10 gigawatts by year two. 100 gigawatts by year three. A terawatt beyond that. Most people think orbital data centers are a decade away. Musk is building the factory to make them possible by next year.
3:26

Elon Musk announced a chip factory 10 times the size of Tesla's Gigafactory. The goal is to produce enough AI compute to equal twice the entire electricity consumption of the United States. He called it the Terafab. Here is the number that stopped me cold. The entire global AI chip industry right now is on track to hit around 100 gigawatts per year of compute. Every Nvidia GPU, every Google TPU, every chip from every company on earth combined. 100 gigawatts. Musk wants one factory to produce a terawatt per year. A terawatt is 1,000 gigawatts. Ten times the output of the entire global industry. From a single building. To put the scale in physical terms, the Terafab would need to be around 100 million square feet. You would need Starship point to point transport just to get from one end to the other. But the reason for the scale is not ambition for its own sake. To launch meaningful AI compute into space, you need a billion chips per year running at a kilowatt each. That is not a number the current industry can produce. The Terafab is the only way to get there. The timeline he put out: a gigawatt of space AI compute annualized by end of next year. Then 10x per year from there. 10 gigawatts by year two. 100 gigawatts by year three. A terawatt beyond that. Most people think orbital data centers are a decade away. Musk is building the factory to make them possible by next year.

Ihtesham Ali

315,956 просмотров • 28 дней назад

ELON MUSK: The only way to reach 1,000 terawatts of AI power is a mass driver on the Moon. "In order to get to 1,000x from a terawatt per year. The only way that we can really achieve that is on the moon with a mass driver, essentially where you do local production of photovoltaics and radiators on the moon, maybe you bring the chips from Earth, or you could conceivably make the chips on the moon, and but you need most of the mass to be made on the moon, so you don't have to transport it to the moon from Earth, and then because the moon has no atmosphere and only 1/6 Earth's gravity, you can accelerate the AI satellites into deep space without a rocket, so you can basically shoot them into space using an electromagnetic gun, like a, like a rail gun type. I mean, just, it's basically a linear electric motor, as a way to think about it."
1:06

ELON MUSK: The only way to reach 1,000 terawatts of AI power is a mass driver on the Moon. "In order to get to 1,000x from a terawatt per year. The only way that we can really achieve that is on the moon with a mass driver, essentially where you do local production of photovoltaics and radiators on the moon, maybe you bring the chips from Earth, or you could conceivably make the chips on the moon, and but you need most of the mass to be made on the moon, so you don't have to transport it to the moon from Earth, and then because the moon has no atmosphere and only 1/6 Earth's gravity, you can accelerate the AI satellites into deep space without a rocket, so you can basically shoot them into space using an electromagnetic gun, like a, like a rail gun type. I mean, just, it's basically a linear electric motor, as a way to think about it."

DogeDesigner

122,205 просмотров • 25 дней назад

elon musk just sat down with his SpaceX team and explained exactly how they're going to turn humanity into a kardashev type 2 civilization it's one of the most insane things i've ever watched: 1. humanity currently uses less than one trillionth of the sun's energy output. a trillion is a million times a million. on the kardashev scale, the one physicists use to measure how advanced a civilization actually is, we are not even registering. we are effectively non-existent. 2. starship is the first rocket in history designed to be fully reusable. every other mode of transport, cars, planes, ships, bicycles, you take reusability for granted. rockets have always been thrown away after one use. if you had to throw away the plane after every flight, almost nobody would be flying. 3. spacex currently launches 85 to 90% of all mass to orbit on earth. the rest of the world, including most of the us, accounts for maybe 5 to 7%. that's before starship even gets going. 4. the plan is to go from 2,500 tons to orbit per year to a million tons per year. in roughly 3 years. that's not a projection. that's the internal target. 5. data centers are moving to space. by end of next year spacex is targeting 1 gigawatt of ai compute in orbit. then 10x every year after that. 10 gigawatts in 2.5 years. 100 gigawatts in 3.5 years. a terawatt eventually, which is twice the entire electricity consumption of the united states. 6. the ai satellite is actually simpler to build than a starlink satellite. it's mostly solar panels, a radiator, and a rack of gpus. the hard part was already solved building starlink. they're just making it bigger. 7. latency from orbit is about 3 milliseconds. light travels 300 km per millisecond. some people assume orbital compute means high latency. it doesn't. it's 3 milliseconds away. 8. the terafab will be 100 million square feet. ten times the size of the tesla gigafactory texas. the entire global chip industry is on track to hit maybe 100 gigawatts of ai compute per year. a terawatt requires a completely different order of manufacturing. that's why they're building it themselves. 9. to go beyond a terawatt you have to go to the moon. no atmosphere. one-sixth earth's gravity. you manufacture solar panels and radiators directly from moon materials. then you launch ai satellites into deep space using an electromagnetic rail gun. no rocket needed. musk calls this the mass driver. this is the next step on the actual roadmap. 10. if enough mass is going to the moon to run a rail gun operation at that scale, it also means regular people can go. musk's exact words: "i think everyone should go to the moon at least once." 11. the ai satellite has about a terabit of laser link connectivity. it connects to the starlink constellation which then sends data to the ground using frequencies that penetrate clouds and even roofs. the connection never drops regardless of weather. 12. the reference design for the first ai satellites is built around nvidia rubin and GB300 chips. but the architecture is open. google TPUs, amazon trainium, any chip can go up. spacex is building the infrastructure, not locking in the compute. 13. spacex is the only operator on earth with experience running a constellation at the scale of 10,000 satellites. nobody else is even close. that operational knowledge is a moat that cannot be replicated quickly.
31:08

elon musk just sat down with his SpaceX team and explained exactly how they're going to turn humanity into a kardashev type 2 civilization it's one of the most insane things i've ever watched: 1. humanity currently uses less than one trillionth of the sun's energy output. a trillion is a million times a million. on the kardashev scale, the one physicists use to measure how advanced a civilization actually is, we are not even registering. we are effectively non-existent. 2. starship is the first rocket in history designed to be fully reusable. every other mode of transport, cars, planes, ships, bicycles, you take reusability for granted. rockets have always been thrown away after one use. if you had to throw away the plane after every flight, almost nobody would be flying. 3. spacex currently launches 85 to 90% of all mass to orbit on earth. the rest of the world, including most of the us, accounts for maybe 5 to 7%. that's before starship even gets going. 4. the plan is to go from 2,500 tons to orbit per year to a million tons per year. in roughly 3 years. that's not a projection. that's the internal target. 5. data centers are moving to space. by end of next year spacex is targeting 1 gigawatt of ai compute in orbit. then 10x every year after that. 10 gigawatts in 2.5 years. 100 gigawatts in 3.5 years. a terawatt eventually, which is twice the entire electricity consumption of the united states. 6. the ai satellite is actually simpler to build than a starlink satellite. it's mostly solar panels, a radiator, and a rack of gpus. the hard part was already solved building starlink. they're just making it bigger. 7. latency from orbit is about 3 milliseconds. light travels 300 km per millisecond. some people assume orbital compute means high latency. it doesn't. it's 3 milliseconds away. 8. the terafab will be 100 million square feet. ten times the size of the tesla gigafactory texas. the entire global chip industry is on track to hit maybe 100 gigawatts of ai compute per year. a terawatt requires a completely different order of manufacturing. that's why they're building it themselves. 9. to go beyond a terawatt you have to go to the moon. no atmosphere. one-sixth earth's gravity. you manufacture solar panels and radiators directly from moon materials. then you launch ai satellites into deep space using an electromagnetic rail gun. no rocket needed. musk calls this the mass driver. this is the next step on the actual roadmap. 10. if enough mass is going to the moon to run a rail gun operation at that scale, it also means regular people can go. musk's exact words: "i think everyone should go to the moon at least once." 11. the ai satellite has about a terabit of laser link connectivity. it connects to the starlink constellation which then sends data to the ground using frequencies that penetrate clouds and even roofs. the connection never drops regardless of weather. 12. the reference design for the first ai satellites is built around nvidia rubin and GB300 chips. but the architecture is open. google TPUs, amazon trainium, any chip can go up. spacex is building the infrastructure, not locking in the compute. 13. spacex is the only operator on earth with experience running a constellation at the scale of 10,000 satellites. nobody else is even close. that operational knowledge is a moat that cannot be replicated quickly.

Jaynit

77,891 просмотров • 1 месяц 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

137,691 просмотров • 1 месяц назад

Elon Musk on 𝕏 Spaces tonight: "The biggest opportunity on the moon is to make solar cells and radiators, and then, you're manufacturing on the moon anything that weighs a lot, chips maybe still come from Earth, they weigh very little. And then you can use a mass driver to put a billion tons of AI powered satellites into orbit per year. You could set a scale to 100 terawatts of AI compute per year from the moon. We already have 9000 satellites in orbit. So we know what it's like being in space."
2:31

Elon Musk on 𝕏 Spaces tonight: "The biggest opportunity on the moon is to make solar cells and radiators, and then, you're manufacturing on the moon anything that weighs a lot, chips maybe still come from Earth, they weigh very little. And then you can use a mass driver to put a billion tons of AI powered satellites into orbit per year. You could set a scale to 100 terawatts of AI compute per year from the moon. We already have 9000 satellites in orbit. So we know what it's like being in space."

DogeDesigner

241,096 просмотров • 6 месяцев назад

Here’s Elon Musk explaining that SpaceX could launch up to one terawatt per year of AI compute capacity into Earth orbit — equivalent to the power output of roughly 1,000 nuclear power plants. “The next step beyond Earth data centers is our Earth orbital data centers. And we'll be launching with SpaceX orbital data centers at the 100-to-200-gigawatt-per-year level. Not cumulative, per year. And ultimately, we see a path to maybe launching as much as a terawatt per year of compute from Earth. But what if you want to go beyond a mere terawatt per year? In order to do that, you have to go to the Moon. So by having factories on the Moon, building AI satellites, and having a mass driver, which is the kind of thing you really only learn about in or read about in science fiction, but we're going to make it real. We're actually going to have a mass driver on the Moon. And if you do that, you can go several orders of magnitude greater. You can go to 1,000 gigawatts or more per year and ultimately get to maybe a millionth and then a thousandth and maybe even a few percent of the Sun's energy.” xAI All-Hands, February 10, 2026
1:04

Here’s Elon Musk explaining that SpaceX could launch up to one terawatt per year of AI compute capacity into Earth orbit — equivalent to the power output of roughly 1,000 nuclear power plants. “The next step beyond Earth data centers is our Earth orbital data centers. And we'll be launching with SpaceX orbital data centers at the 100-to-200-gigawatt-per-year level. Not cumulative, per year. And ultimately, we see a path to maybe launching as much as a terawatt per year of compute from Earth. But what if you want to go beyond a mere terawatt per year? In order to do that, you have to go to the Moon. So by having factories on the Moon, building AI satellites, and having a mass driver, which is the kind of thing you really only learn about in or read about in science fiction, but we're going to make it real. We're actually going to have a mass driver on the Moon. And if you do that, you can go several orders of magnitude greater. You can go to 1,000 gigawatts or more per year and ultimately get to maybe a millionth and then a thousandth and maybe even a few percent of the Sun's energy.” xAI All-Hands, February 10, 2026

ELON CLIPS

21,962 просмотров • 3 месяцев назад

A single gigawatt of orbital compute requires roughly 200 Starship launches and Elon Musk is not satisfied with gigawatts (Save this). The target is 100 gigawatts of orbital compute per year which means SpaceX is staring down a launch requirement that no organization in human history has ever attempted at anything close to that scale. He acknowledges that scaling to gigawatts per year in orbit is a very hard challenge, but then points to something most people have missed entirely, SpaceX has already demonstrated the foundational capability, because building and launching thousands of Starlink satellites per year is the same industrial problem applied to a different payload. When you understand the orbital compute satellite as a larger version of Starlink V3 with an Nvidia GPU rack at the center instead of a communications payload, the manufacturing and launch scaling challenge stops looking like science fiction and starts looking like a production ramp. The infrastructure to support that ramp is already being built. SpaceX is currently capacitizing for thousands of launches per year, two launch towers and pads in South Texas are operational, the first pad at Cape Canaveral is nearly complete, a second is on the way at Launch Complex 37, and additional locations are already in discussion. As the CFO says it "You need to have those cost curves as you ramp up in volume and time, your costs go down." The vision he describes for what this eventually enables is striking in its specificity. He imagines asking Grok a question on his phone, the inference running on an orbital compute satellite, and the answer coming back down through Starlink direct-to-cell, a complete AI query processed entirely in space, from prompt to response, without touching a single terrestrial data center. That moment, he says, is closer than the industry thinks, with initial capability demonstrations possible as soon as next year. The bottleneck that stands between now and that moment is not the satellite design, the cooling physics, or the silicon, all of which SpaceX has already worked through.
4:23

A single gigawatt of orbital compute requires roughly 200 Starship launches and Elon Musk is not satisfied with gigawatts (Save this). The target is 100 gigawatts of orbital compute per year which means SpaceX is staring down a launch requirement that no organization in human history has ever attempted at anything close to that scale. He acknowledges that scaling to gigawatts per year in orbit is a very hard challenge, but then points to something most people have missed entirely, SpaceX has already demonstrated the foundational capability, because building and launching thousands of Starlink satellites per year is the same industrial problem applied to a different payload. When you understand the orbital compute satellite as a larger version of Starlink V3 with an Nvidia GPU rack at the center instead of a communications payload, the manufacturing and launch scaling challenge stops looking like science fiction and starts looking like a production ramp. The infrastructure to support that ramp is already being built. SpaceX is currently capacitizing for thousands of launches per year, two launch towers and pads in South Texas are operational, the first pad at Cape Canaveral is nearly complete, a second is on the way at Launch Complex 37, and additional locations are already in discussion. As the CFO says it "You need to have those cost curves as you ramp up in volume and time, your costs go down." The vision he describes for what this eventually enables is striking in its specificity. He imagines asking Grok a question on his phone, the inference running on an orbital compute satellite, and the answer coming back down through Starlink direct-to-cell, a complete AI query processed entirely in space, from prompt to response, without touching a single terrestrial data center. That moment, he says, is closer than the industry thinks, with initial capability demonstrations possible as soon as next year. The bottleneck that stands between now and that moment is not the satellite design, the cooling physics, or the silicon, all of which SpaceX has already worked through.

Milk Road AI

67,791 просмотров • 1 месяц назад

ELON MUSK: "I do see a path to 100 gigawatts a year of AI powered space solar satellites. If you do a million tons of payload to orbit per year with 100 kilowatts per ton, that's 100 gigawatts of solar powered AI satellites per year. There's a path to get to a terawatt per year, then you want to make those AI satellites on the moon and use a mass driver. We should scale solar substantially in the US. Tesla and SpaceX are scaling solar, and I encourage others to do so as well."
2:34

ELON MUSK: "I do see a path to 100 gigawatts a year of AI powered space solar satellites. If you do a million tons of payload to orbit per year with 100 kilowatts per ton, that's 100 gigawatts of solar powered AI satellites per year. There's a path to get to a terawatt per year, then you want to make those AI satellites on the moon and use a mass driver. We should scale solar substantially in the US. Tesla and SpaceX are scaling solar, and I encourage others to do so as well."

DogeDesigner

975,768 просмотров • 5 месяцев назад

ELON MUSK: "We see a path to putting 100 gigawatts per year of solar-powered AI satellite into orbit. And having this be actually the lowest cost way to power and operate AI at a very large scale For reference, the United States consumes roughly 460 gigawatts on average per year. Because the average power load in the US is 460 gigawatts"
0:51

ELON MUSK: "We see a path to putting 100 gigawatts per year of solar-powered AI satellite into orbit. And having this be actually the lowest cost way to power and operate AI at a very large scale For reference, the United States consumes roughly 460 gigawatts on average per year. Because the average power load in the US is 460 gigawatts"

X Freeze

9,043,341 просмотров • 7 месяцев назад

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 challenges in scaling AI. But this is just the beginning. Musk says truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, meaning millions of tons of infrastructure in orbit. The long-term vision isn't AI running in data centers. It's AI running in space at a scale that's impossible on Earth. Elon Musk
2:38

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 challenges in scaling AI. But this is just the beginning. Musk says truly large-scale orbital AI could eventually require hundreds of gigawatts to a terawatt of power, meaning millions of tons of infrastructure in orbit. The long-term vision isn't AI running in data centers. It's AI running in space at a scale that's impossible on Earth. Elon Musk

Tesla Owners Silicon Valley

19,152 просмотров • 1 месяц назад

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 • 1 месяц назад

ELON MUSK: “To reach a terawatt of compute per year, we need about 10 million tons to orbit annually. This is feasible—no new physics required—and I’m confident SpaceX can achieve it. We’re also scaling to a terawatt of solar for power. The remaining piece is a terawatt of compute, which is why we’re building Terafab.”
0:36

ELON MUSK: “To reach a terawatt of compute per year, we need about 10 million tons to orbit annually. This is feasible—no new physics required—and I’m confident SpaceX can achieve it. We’re also scaling to a terawatt of solar for power. The remaining piece is a terawatt of compute, which is why we’re building Terafab.”

Tesla Owners Silicon Valley

12,017 просмотров • 11 дней назад

Elon Musk on building a self-growing city on the Moon: "You don't necessarily have to go through the moon to get to Mars. We can build a self-growing city on the moon faster than we could do so on Mars, and there's also the potential, if you say you want to scale far beyond what you can do from Earth, is that because the moon has no atmosphere and about 1/6 Earth's gravity, you can use an electromagnetic accelerator, a rail gun or mass driver, basically you don't need to use rockets to do AI data centers into deep space from the moon, you can literally just shoot them like a, like a rail gun type of thing, and and you can manufacture the solar, the solar and the radiators, solar power and radiators on the moon from moon materials that would allow scaling potentially to beyond 1000 terawatts a year, which is a truly staggering number. I think we can do probably do somewhere around one terawatt per year of AI space compute from Earth, but we can do 1000 terawatts or more from the moon."
1:17

Elon Musk on building a self-growing city on the Moon: "You don't necessarily have to go through the moon to get to Mars. We can build a self-growing city on the moon faster than we could do so on Mars, and there's also the potential, if you say you want to scale far beyond what you can do from Earth, is that because the moon has no atmosphere and about 1/6 Earth's gravity, you can use an electromagnetic accelerator, a rail gun or mass driver, basically you don't need to use rockets to do AI data centers into deep space from the moon, you can literally just shoot them like a, like a rail gun type of thing, and and you can manufacture the solar, the solar and the radiators, solar power and radiators on the moon from moon materials that would allow scaling potentially to beyond 1000 terawatts a year, which is a truly staggering number. I think we can do probably do somewhere around one terawatt per year of AI space compute from Earth, but we can do 1000 terawatts or more from the moon."

DogeDesigner

33,235 просмотров • 1 месяц назад

Elon just put the scale of Terafab into perspective and it's so massive "In order to get to the next order of magnitude, you need a gigantic chip factory. And to give you a sense of scale here, we expect that the Terafab is going to be around 100 million square feet. Which is 10 times the size of the Tesla Gigafactory Texas"
0:21

Elon just put the scale of Terafab into perspective and it's so massive "In order to get to the next order of magnitude, you need a gigantic chip factory. And to give you a sense of scale here, we expect that the Terafab is going to be around 100 million square feet. Which is 10 times the size of the Tesla Gigafactory Texas"

X Freeze

26,690 просмотров • 1 месяц назад

Elon Musk on why the Moon might come before Mars: “You don’t necessarily have to go through the Moon to get to Mars. But I think we can build a self-growing city on the Moon faster than we can on Mars” The Moon has major advantages for scaling AI in space: Because it has no atmosphere and only one-sixth of Earth’s gravity, you can use a mass driver (railgun) to literally shoot AI data centers into deep space - no rockets required You can also manufacture solar panels and radiators directly from Moon materials. This could allow scaling to over 1,000 terawatts per year of AI compute - compared to roughly 1 terawatt per year if launching everything from Earth Mars remains the ultimate goal - a whole planet with Earth-like gravity and a thin atmosphere that could one day be warmed up to have oceans and walkable surfaces without spacesuits But the Moon could be the faster stepping stone to build massive infrastructure in space
2:14

Elon Musk on why the Moon might come before Mars: “You don’t necessarily have to go through the Moon to get to Mars. But I think we can build a self-growing city on the Moon faster than we can on Mars” The Moon has major advantages for scaling AI in space: Because it has no atmosphere and only one-sixth of Earth’s gravity, you can use a mass driver (railgun) to literally shoot AI data centers into deep space - no rockets required You can also manufacture solar panels and radiators directly from Moon materials. This could allow scaling to over 1,000 terawatts per year of AI compute - compared to roughly 1 terawatt per year if launching everything from Earth Mars remains the ultimate goal - a whole planet with Earth-like gravity and a thin atmosphere that could one day be warmed up to have oceans and walkable surfaces without spacesuits But the Moon could be the faster stepping stone to build massive infrastructure in space

X Freeze

37,598 просмотров • 1 месяц назад

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.”
1:05

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 просмотров • 7 месяцев назад

"The only way to reach 1,000 terawatts of AI power is with a mass driver on the Moon. Most of the hardware would need to be produced locally on the Moon, and because it has no atmosphere and only one-sixth of Earth's gravity, AI satellites could be launched into deep space using an electromagnetic mass driver instead of rockets." — Elon Musk
3:23

"The only way to reach 1,000 terawatts of AI power is with a mass driver on the Moon. Most of the hardware would need to be produced locally on the Moon, and because it has no atmosphere and only one-sixth of Earth's gravity, AI satellites could be launched into deep space using an electromagnetic mass driver instead of rockets." — Elon Musk

Tesla Owners Silicon Valley

10,383 просмотров • 1 месяц назад

Elon Musk laid out the most ambitious compute expansion in human history and it ends with harnessing the Sun "We'll be launching with SpaceX orbital data centers at the 100 to 200 gigawatt per year level. Not cumulative; I mean per year" And this is just step one, the next step is Scale further from Earth to launch a full terawatt per year of AI compute into orbit It gets even crazier from here When even a terawatt isn't enough....Go to the Moon. Build factories. Build AI satellites Deploy a mass driver - the thing you only read about in sci-fi novels and push output to thousands of gigawatts per year and ultimately get to maybe a millionth and then a thousandth and maybe even a few percent of the sun's energy "It's difficult to imagine what an intelligence of that scale would think about but it's going to be incredibly exciting"
1:13

Elon Musk laid out the most ambitious compute expansion in human history and it ends with harnessing the Sun "We'll be launching with SpaceX orbital data centers at the 100 to 200 gigawatt per year level. Not cumulative; I mean per year" And this is just step one, the next step is Scale further from Earth to launch a full terawatt per year of AI compute into orbit It gets even crazier from here When even a terawatt isn't enough....Go to the Moon. Build factories. Build AI satellites Deploy a mass driver - the thing you only read about in sci-fi novels and push output to thousands of gigawatts per year and ultimately get to maybe a millionth and then a thousandth and maybe even a few percent of the sun's energy "It's difficult to imagine what an intelligence of that scale would think about but it's going to be incredibly exciting"

X Freeze

16,467 просмотров • 4 месяцев назад

Elon Musk reveals the vision he's most excited to see in his lifetime "Earth only receives about half a billionth of the Sun's energy. The Sun is essentially all the energy" "If you wanted to harness a millionth of the sun's energy, that would be about 100,000x more electricity than we currently generate on Earth for all of civilization" "The only way to scale is to go to space with solar. Launching from Earth, you can get to about a terawatt per year" "Beyond that, you want to launch from the moon. You want to have a mass driver on the moon" "With that mass driver on the moon, you could do probably a petawatt per year"
2:06

Elon Musk reveals the vision he's most excited to see in his lifetime "Earth only receives about half a billionth of the Sun's energy. The Sun is essentially all the energy" "If you wanted to harness a millionth of the sun's energy, that would be about 100,000x more electricity than we currently generate on Earth for all of civilization" "The only way to scale is to go to space with solar. Launching from Earth, you can get to about a terawatt per year" "Beyond that, you want to launch from the moon. You want to have a mass driver on the moon" "With that mass driver on the moon, you could do probably a petawatt per year"

Jaynit

51,848 просмотров • 1 месяц назад

ELON MUSK: "The way to think about scaling long term is that Earth only receives about half a billionth of the sun's energy. And the sun is essentially all the energy. This is a very important point to appreciate because sometimes people will talk about marginal nuclear reactors or any various fusion on Earth, but you have to step up a second and say if you're going to climb the Kardashev scale and have some non trivial and harness some non trivial percentage of the sun's energy, like let's say you wanted to harness a millionth of the sun's energy, which sounds pretty small, that would be about, call it roughly 100,000 times more electricity than we currently generate on Earth for all of civilization, give or take an order of magnitude. So obviously the only way to scale is to go to space. With solar, from launching from Earth you can get to about a terawatt per year. Beyond that, you want to launch from the moon, you want to have a mass driver on the moon, and that mass driver on the moon you could do probably a petawatt per year."
5:36

ELON MUSK: "The way to think about scaling long term is that Earth only receives about half a billionth of the sun's energy. And the sun is essentially all the energy. This is a very important point to appreciate because sometimes people will talk about marginal nuclear reactors or any various fusion on Earth, but you have to step up a second and say if you're going to climb the Kardashev scale and have some non trivial and harness some non trivial percentage of the sun's energy, like let's say you wanted to harness a millionth of the sun's energy, which sounds pretty small, that would be about, call it roughly 100,000 times more electricity than we currently generate on Earth for all of civilization, give or take an order of magnitude. So obviously the only way to scale is to go to space. With solar, from launching from Earth you can get to about a terawatt per year. Beyond that, you want to launch from the moon, you want to have a mass driver on the moon, and that mass driver on the moon you could do probably a petawatt per year."

DogeDesigner

31,389 просмотров • 5 месяцев назад