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Orbit AI Satellite Successfully Achieve World’s First Orbital AI Deployment and Launching Digital AI Sovereignty Decentralized Orbital AI Network Orbit AI Orbit AI🛰️ today announced that the first satellite, “OAI Genesis-1,” has successfully launched and entered Low Earth Orbit (LEO). Amidst fierce competition from tech giants (e.g., Starlink Starlink...

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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 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
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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 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

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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.
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In a first for India, homegrown startup Pixxel teams up with India’s AI unicorn Sarvam to take data centres to the orbit🚀 Pixxel Founder & CEO Awais Ahmed tells Shereen Bhan why the future of AI infrastructure may not be on Earth at all. ‘SpaceX now has announced its own plans for launching a million data center satellites.’ ‘We have seen what Sarvam has been doing the last few months with sovereign AI models that they've trained and running inference there, and we have been focused on what we can do with the infrastructure that we are building in Bangalore, to build and launch better, bigger, better, larger satellites.’ Powered by NVIDIA GPUs, the satellite will run sovereign AI models directly in space using solar energy, orbital cooling and real-time AI inference. And the timeline? ‘Let’s see what can be done with one satellite this year’ #YoungTurksReloaded #Pixxel #Sarvam #AI #SpaceTech #OrbitalDataCentre #NVIDIA #SovereignAI
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In a first for India, homegrown startup Pixxel teams up with India’s AI unicorn Sarvam to take data centres to the orbit🚀 Pixxel Founder & CEO Awais Ahmed tells Shereen Bhan why the future of AI infrastructure may not be on Earth at all. ‘SpaceX now has announced its own plans for launching a million data center satellites.’ ‘We have seen what Sarvam has been doing the last few months with sovereign AI models that they've trained and running inference there, and we have been focused on what we can do with the infrastructure that we are building in Bangalore, to build and launch better, bigger, better, larger satellites.’ Powered by NVIDIA GPUs, the satellite will run sovereign AI models directly in space using solar energy, orbital cooling and real-time AI inference. And the timeline? ‘Let’s see what can be done with one satellite this year’ #YoungTurksReloaded #Pixxel #Sarvam #AI #SpaceTech #OrbitalDataCentre #NVIDIA #SovereignAI

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🚨 HUGE ANNOUNCEMENT 🚨 Copernic Space is tokenizing and commercializing data centers & AI in orbit soon! Read about real commercial cases on board such as Syntilay in Bloomberg (Bloomberg), SPACE.com, and more incoming! 🌍👀 🚀 We’re turning data centers and computation in space into a programmable, commercial platform for use by entities in space and on earth. Together with OrbitsEdge, Copernic Space is launching the first commercial mission for space-based AI and blockchain applications set for Q1 2026. It’s another foundation and standard we're building for a space asset segment and the new off-planet economy. 🛰 Space = the Next Data Center Real commercial access to AI-powered orbital computing Blockchain nodes and tokenized file services from space All tokenized and monetized via the Copernic Space marketplace "Within a decade, mining Bitcoin and computing AI models can be cheaper and greener in space than on Earth." — Rick Ward, CEO, OrbitsEdge 🌌 The First Commercial Framework for In-Space Computation Radiation-shielded Qualcomm AI chips running onboard Tokenized digital payloads, your apps, data, and AI agents in orbit DeFi-powered mission financing already executed on Copernic Space “We’re creating financial and commercial standards for computation in space as Real-World Space Assets (RWSAs).” — Grant Blaisdell, CEO, Copernic Space 🛠 REAL use cases on board: 👟 Syntilay, created by Reebok Co-Founder Joe Foster and Ben Weiss , will create the first-ever AI-designed shoes in microgravity, tokenized by Copernic Space, and produced on Earth via Zellerfeld . 📡 511 Innovations will run real-time AI to optimize satellite communications using orbital telemetry. And that’s just the beginning…
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🚨 HUGE ANNOUNCEMENT 🚨 Copernic Space is tokenizing and commercializing data centers & AI in orbit soon! Read about real commercial cases on board such as Syntilay in Bloomberg (Bloomberg), SPACE.com, and more incoming! 🌍👀 🚀 We’re turning data centers and computation in space into a programmable, commercial platform for use by entities in space and on earth. Together with OrbitsEdge, Copernic Space is launching the first commercial mission for space-based AI and blockchain applications set for Q1 2026. It’s another foundation and standard we're building for a space asset segment and the new off-planet economy. 🛰 Space = the Next Data Center Real commercial access to AI-powered orbital computing Blockchain nodes and tokenized file services from space All tokenized and monetized via the Copernic Space marketplace "Within a decade, mining Bitcoin and computing AI models can be cheaper and greener in space than on Earth." — Rick Ward, CEO, OrbitsEdge 🌌 The First Commercial Framework for In-Space Computation Radiation-shielded Qualcomm AI chips running onboard Tokenized digital payloads, your apps, data, and AI agents in orbit DeFi-powered mission financing already executed on Copernic Space “We’re creating financial and commercial standards for computation in space as Real-World Space Assets (RWSAs).” — Grant Blaisdell, CEO, Copernic Space 🛠 REAL use cases on board: 👟 Syntilay, created by Reebok Co-Founder Joe Foster and Ben Weiss , will create the first-ever AI-designed shoes in microgravity, tokenized by Copernic Space, and produced on Earth via Zellerfeld . 📡 511 Innovations will run real-time AI to optimize satellite communications using orbital telemetry. And that’s just the beginning…

👨‍🚀Copernic Space🚀

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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.
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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.

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Starcloud (starcloud_inc1) recently made history by launching a satellite with an NVIDIA H100 into orbit — the first time a GPU that powerful has ever operated in space. It's the first step toward building AI data centers in orbit, powered by continuous sunlight and cooled by radiating heat into deep space. Their approach could one day rival the world's biggest data centers while using less energy, zero fresh water, and far lower emissions. YC's Aaron Epstein visited Starcloud's HQ, where co-founders , Ezra Feilden, and Adrian Andrei Oltean explained how they built a working prototype in just 15 months — and why big tech is racing to space for AI compute.

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Today, we’re taking a step toward truly galactic-scale capabilities. 🚀 We’re partnering with Sarvam to bring sovereign AI into orbit aboard India’s first orbital data centre satellite, a pathfinder mission bringing datacenter-class GPUs and high-performance remote sensing together in space. Built and operated by Pixxel, with Sarvam providing the AI backbone, the demonstrator marks a step toward making orbital data centres real, operational, and scalable from India. May the 4th be with us all! ✨

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SpaceX is 10xing solar power in orbit every few years Here’s the progression for Starlink: • Gen 1 Starlink: ~3,000 satellites generating ~10 MW in orbit • Gen 2 Starlink: ~7,000 satellites generating ~100 MW • Gen 3 Starlink: expected to reach ~1,000 MW - 1 gigawatt of solar power in orbit Starlink was already revolutionary for global internet But the bigger story is that every new generation is also expanding SpaceX’s orbital power infrastructure • More satellites • More bandwidth • More solar power • More capability in orbit This matters because the future is not just satellites for internet It is satellites for communications, sensing, space data networks, and eventually orbital AI compute powered directly by solar SpaceX is not just building Starlink It is building the power and communications backbone for the next era of infrastructure in space
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SpaceX is 10xing solar power in orbit every few years Here’s the progression for Starlink: • Gen 1 Starlink: ~3,000 satellites generating ~10 MW in orbit • Gen 2 Starlink: ~7,000 satellites generating ~100 MW • Gen 3 Starlink: expected to reach ~1,000 MW - 1 gigawatt of solar power in orbit Starlink was already revolutionary for global internet But the bigger story is that every new generation is also expanding SpaceX’s orbital power infrastructure • More satellites • More bandwidth • More solar power • More capability in orbit This matters because the future is not just satellites for internet It is satellites for communications, sensing, space data networks, and eventually orbital AI compute powered directly by solar SpaceX is not just building Starlink It is building the power and communications backbone for the next era of infrastructure in space

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T-0: liftoff for my #vibejam game 'AI Space Agency' a Kerbal Space Program-inspired rocket simulator for building the biggest fleet of AI data centers in low Earth orbit features: • real-scale rocket launch simulator • orbital dynamics and orbit insertion autopilot • Falcon 9 and Starship • rocket staging • time warp • navball and SAS-style flight HUD • procedurally generated music • detailed Cape launch site with VAB and pad • solar system with planets and 18,000+ asteroids • portals to dial into the vibejam network all running in the browser with Three.js thanks to @levelsio & Cursor! this was super fun and also great opportunity for battle-testing Ralv
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T-0: liftoff for my #vibejam game 'AI Space Agency' a Kerbal Space Program-inspired rocket simulator for building the biggest fleet of AI data centers in low Earth orbit features: • real-scale rocket launch simulator • orbital dynamics and orbit insertion autopilot • Falcon 9 and Starship • rocket staging • time warp • navball and SAS-style flight HUD • procedurally generated music • detailed Cape launch site with VAB and pad • solar system with planets and 18,000+ asteroids • portals to dial into the vibejam network all running in the browser with Three.js thanks to @levelsio & Cursor! this was super fun and also great opportunity for battle-testing Ralv

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

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

Milk Road AI

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🚨🇨🇳 China unveils its first full-stack green AI computing platform The platform was launched in the city of Hohhot in north China's Inner Mongolia Autonomous Region, CCTV reports 🔸The goal is to unify computing resources, cut costs, and accelerate nationwide AI adoption through low-carbon infrastructure 🔸The platform is fully compatible with domestically produced chips and mainstream computing architectures 🔸Connects over 10 leading models from major telecom operators and tech firms This signals a major push toward scalable, energy-efficient national AI infrastructure built to support the next wave of model deployment and AI-driven services
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🚨🇨🇳 China unveils its first full-stack green AI computing platform The platform was launched in the city of Hohhot in north China's Inner Mongolia Autonomous Region, CCTV reports 🔸The goal is to unify computing resources, cut costs, and accelerate nationwide AI adoption through low-carbon infrastructure 🔸The platform is fully compatible with domestically produced chips and mainstream computing architectures 🔸Connects over 10 leading models from major telecom operators and tech firms This signals a major push toward scalable, energy-efficient national AI infrastructure built to support the next wave of model deployment and AI-driven services

Sputnik

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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.
2:27

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

2,907,201 Aufrufe • vor 7 Monaten

Exploring the moon's surface with AI. 🌙 Firefly Aerospace, an #NVIDIAInception member, is preparing to launch its Blue Ghost Mission 2, including: 🔭 Lunar lander carrying science and technology instruments to detect faint signals from the cosmic dark ages 🛰️ Elytra spacecraft in lunar orbit for a five-year mission 📸 Ocula moon imaging service, powered onboard by the NVIDIA Jetson edge AI platform This builds on Firefly's Blue Ghost Mission 1, launched in March 2025, that downlinked ~120GB of raw lunar surface imagery and video data to Earth. Explore AI on the moon ➡️
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Exploring the moon's surface with AI. 🌙 Firefly Aerospace, an #NVIDIAInception member, is preparing to launch its Blue Ghost Mission 2, including: 🔭 Lunar lander carrying science and technology instruments to detect faint signals from the cosmic dark ages 🛰️ Elytra spacecraft in lunar orbit for a five-year mission 📸 Ocula moon imaging service, powered onboard by the NVIDIA Jetson edge AI platform This builds on Firefly's Blue Ghost Mission 1, launched in March 2025, that downlinked ~120GB of raw lunar surface imagery and video data to Earth. Explore AI on the moon ➡️

NVIDIA Robotics

93,329 Aufrufe • vor 25 Tagen

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 Aufrufe • vor 2 Monaten

tesla is merging with spaceX. this announcement did all but confirm it. a multi-trillion dollar space/ai/robotics GIANT, a moon settlement and at the heart of it - the Terafab - here's why this is nuts: - tesla plans to ship 1-10 BILLION robots PER year. problem: global chip capacity is shit, doesn't scale. - Tesla's 'Terafab' will produce 1 TERAwatt of compute. 80% of that will go to outer-space to train AI (grok) via spaceX - terafab will make 2 AI chips: 1 for humanoid robots/cars and 1 for AI datacenters in space. - by housing everything under 1 roof - chip production speeds up by an order of magnitude. unbeatable. - moon settlement: the sun doesn't set in space. solar power is 5X larger in low-orbit space. much more on the moon (24/7 too!) - so elon will build a moon settlement! there is ZERO chance tesla survives without spaceX transporting these ai chips. elon estimates training AI in space will be CHEAPER THAN ON EARTH in 2-3 years. insane. (heres the full announcement if you wanna watch)
21:45

tesla is merging with spaceX. this announcement did all but confirm it. a multi-trillion dollar space/ai/robotics GIANT, a moon settlement and at the heart of it - the Terafab - here's why this is nuts: - tesla plans to ship 1-10 BILLION robots PER year. problem: global chip capacity is shit, doesn't scale. - Tesla's 'Terafab' will produce 1 TERAwatt of compute. 80% of that will go to outer-space to train AI (grok) via spaceX - terafab will make 2 AI chips: 1 for humanoid robots/cars and 1 for AI datacenters in space. - by housing everything under 1 roof - chip production speeds up by an order of magnitude. unbeatable. - moon settlement: the sun doesn't set in space. solar power is 5X larger in low-orbit space. much more on the moon (24/7 too!) - so elon will build a moon settlement! there is ZERO chance tesla survives without spaceX transporting these ai chips. elon estimates training AI in space will be CHEAPER THAN ON EARTH in 2-3 years. insane. (heres the full announcement if you wanna watch)

Ejaaz

163,328 Aufrufe • vor 4 Monaten

Shaun Maguire on SpaceX IPO: "Starship is the railroad to space." "In 2019, it was very predictable that Starlink would work and produce a massive amount of revenue, and we called that right." "We're now in a very similar point to where Starlink was in 2019 with AI infrastructure and orbital compute." "I think people are really underestimating how far along the orbital compute product is right now." On the $22 trillion TAM: "What do you think is the TAM for intelligence? What's the TAM for all compute infrastructure 50 years from now?" "People are underappreciating how much infrastructure is going to be built in space and how much easier it is to access energy in space." "We're at the beginning of this AI era, and we're going to double or triple the total amount of intelligence that we have access to over the next decade — so yes, I absolutely believe in the TAM, and I would even argue it's an underestimate." How much is the "railroad to space" worth in the era of AI and orbital compute? Now imagine the railroad company also owns the AI and the orbital compute. Elon Musk Shaun Maguire
2:24

Shaun Maguire on SpaceX IPO: "Starship is the railroad to space." "In 2019, it was very predictable that Starlink would work and produce a massive amount of revenue, and we called that right." "We're now in a very similar point to where Starlink was in 2019 with AI infrastructure and orbital compute." "I think people are really underestimating how far along the orbital compute product is right now." On the $22 trillion TAM: "What do you think is the TAM for intelligence? What's the TAM for all compute infrastructure 50 years from now?" "People are underappreciating how much infrastructure is going to be built in space and how much easier it is to access energy in space." "We're at the beginning of this AI era, and we're going to double or triple the total amount of intelligence that we have access to over the next decade — so yes, I absolutely believe in the TAM, and I would even argue it's an underestimate." How much is the "railroad to space" worth in the era of AI and orbital compute? Now imagine the railroad company also owns the AI and the orbital compute. Elon Musk Shaun Maguire

KanekoaTheGreat

39,709 Aufrufe • vor 1 Monat

This is one of the more interesting cases I’ve heard for why we should put AI data centers in space. Yes, it would benefit a few billionaires, but it could also lessen the environmental toll on Earth. And we’re going to need to cut AI's carbon footprint in as many ways as we can. Space architect Ariel Ekblaw and I went deep on the opportunities—and many challenges—of building AI infrastructure in orbit. Watch our conversation here: Produced by Atlantic Re:think, The Atlantic's creative marketing studio, in collaboration with PwC.
1:15

This is one of the more interesting cases I’ve heard for why we should put AI data centers in space. Yes, it would benefit a few billionaires, but it could also lessen the environmental toll on Earth. And we’re going to need to cut AI's carbon footprint in as many ways as we can. Space architect Ariel Ekblaw and I went deep on the opportunities—and many challenges—of building AI infrastructure in orbit. Watch our conversation here: Produced by Atlantic Re:think, The Atlantic's creative marketing studio, in collaboration with PwC.

nxthompson

25,701 Aufrufe • vor 3 Monaten

SpaceX has officially acquired xAI and this is a HUGE deal, probably bigger than most people realize. SpaceX + xAI together are about to build a single, vertically integrated engine that connects AI, rockets, space based internet, and real time information all into one unified system. At the core of this announcement is the fact that AI can’t scale forever on Earth. Think about it. Data centers are already running into hard limits with power, cooling, land, and environmental cost. On top of this, global AI electricity demand is exploding, and doing all of this on the ground just doesn’t scale long term. Therefore Space changes this. In orbit, you can get things like near-constant solar power, you don’t have cooling problems, there’s minimal land/environmental impact, and you can build systems that can run continuously with minimal maintenance. This is why space-based AI is actually very practical and there’s only one company that can do it, which is SpaceX! The scale that SpaceX is aiming for is pretty wild. Elon is talking about 1/ 1 million satellites acting as orbital data centers, and 2/ Launching ~1 million tons of satellites per year Which means 3/ At 100 kW per ton, that’s 100 gigawatts of AI compute every year 4/ And that can scale to 1 terawatt per year. FYI, adding 100 GW of new compute capacity annually in space would be like building out roughly 20-25% of the USA’s total average electricity demand every single year. And scaling to 1 TW/year would exceed the nation’s entire power usage, ALL without burdening Earth’s grids! Bro… this is next level… I repeat, as of today, SpaceX is the ONLY company positioned to do this, especially with Starship - the largest flying vehicle ever. In the future, Elon’s saying the team is going to have Starship launch 200 tons at a time, on an HOURLY basis… WTF?! That’s is absolutely mind boggling. In my opinion, whichever company builds the lowest cost AI compute is going to be the first company that defines the next era of AI, which will all be in space… and my $ is that SpaceX is going to be the first one to do it. Then, when you zoom out even further, this will unlock things most people aren’t even thinking about yet today bc it’s too sci-fi. Like, • Powering lunar bases • In-space propellant transfer • Manufacturing in orbit and on the Moon • Deep-space AI infrastructure using massive solar collectors • Self-growing civilizations on the Moon, Mars, and beyond By tapping into space’s unlimited solar energy, this is how we get to a Kardashev-level civilization! So for SpaceX, the faster Starship progresses, there will be massive new revenue streams and will lead in building out space-based AI infrastructures. For xAI, AI scales without ruining Earth, deeply integrated with everything SpaceX is building, further understanding the universe. For us humans, AI will grow without destroying the planet, and there’s a real path to becoming multi-planetary. I believe SpaceX acquiring xAI is officially the blueprint for where AI, energy, and humanity are headed. Congratulations to everyone, this is such an exciting time to be alive!
1:14

SpaceX has officially acquired xAI and this is a HUGE deal, probably bigger than most people realize. SpaceX + xAI together are about to build a single, vertically integrated engine that connects AI, rockets, space based internet, and real time information all into one unified system. At the core of this announcement is the fact that AI can’t scale forever on Earth. Think about it. Data centers are already running into hard limits with power, cooling, land, and environmental cost. On top of this, global AI electricity demand is exploding, and doing all of this on the ground just doesn’t scale long term. Therefore Space changes this. In orbit, you can get things like near-constant solar power, you don’t have cooling problems, there’s minimal land/environmental impact, and you can build systems that can run continuously with minimal maintenance. This is why space-based AI is actually very practical and there’s only one company that can do it, which is SpaceX! The scale that SpaceX is aiming for is pretty wild. Elon is talking about 1/ 1 million satellites acting as orbital data centers, and 2/ Launching ~1 million tons of satellites per year Which means 3/ At 100 kW per ton, that’s 100 gigawatts of AI compute every year 4/ And that can scale to 1 terawatt per year. FYI, adding 100 GW of new compute capacity annually in space would be like building out roughly 20-25% of the USA’s total average electricity demand every single year. And scaling to 1 TW/year would exceed the nation’s entire power usage, ALL without burdening Earth’s grids! Bro… this is next level… I repeat, as of today, SpaceX is the ONLY company positioned to do this, especially with Starship - the largest flying vehicle ever. In the future, Elon’s saying the team is going to have Starship launch 200 tons at a time, on an HOURLY basis… WTF?! That’s is absolutely mind boggling. In my opinion, whichever company builds the lowest cost AI compute is going to be the first company that defines the next era of AI, which will all be in space… and my $ is that SpaceX is going to be the first one to do it. Then, when you zoom out even further, this will unlock things most people aren’t even thinking about yet today bc it’s too sci-fi. Like, • Powering lunar bases • In-space propellant transfer • Manufacturing in orbit and on the Moon • Deep-space AI infrastructure using massive solar collectors • Self-growing civilizations on the Moon, Mars, and beyond By tapping into space’s unlimited solar energy, this is how we get to a Kardashev-level civilization! So for SpaceX, the faster Starship progresses, there will be massive new revenue streams and will lead in building out space-based AI infrastructures. For xAI, AI scales without ruining Earth, deeply integrated with everything SpaceX is building, further understanding the universe. For us humans, AI will grow without destroying the planet, and there’s a real path to becoming multi-planetary. I believe SpaceX acquiring xAI is officially the blueprint for where AI, energy, and humanity are headed. Congratulations to everyone, this is such an exciting time to be alive!

Teslaconomics

148,521 Aufrufe • vor 5 Monaten

Out of 100+ applicants, 5 startups made it in 🎉 Welcoming our latest cohort for DePIN Base Camp. Partnered with 1kx & peaq - PEAQ is the L1 blockchain designed to be the go-to backbone for DePINs and the Machine Economy. Meet the 5 stellar teams taking over the real-world and beyond (space literally 🛰) Aira Labs - The world's first wearable air quality sensor with real-time monitoring and a blockchain-powered data marketplace, empowering individuals to track, improve, and monetize their exposure to air pollution. Beacon Protocol - Decentralized private data infra for smarter AI. Unlocking private data sources for AI and ensuring everyone gets paid. Combinder - DePIN platform connecting household Distributed Energy Resources (DER) to create a virtual power plant for grid flexibility. Decen Space - A decentralized ground station network enabling global satellite communications through community operated nodes and blockchain based coordination. SkyX - The ‘Starlink for Weather’, a decentralized, AI-powered hyperlocal weather network improving forecasting accuracy up to 85%.
0:22

Out of 100+ applicants, 5 startups made it in 🎉 Welcoming our latest cohort for DePIN Base Camp. Partnered with 1kx & peaq - PEAQ is the L1 blockchain designed to be the go-to backbone for DePINs and the Machine Economy. Meet the 5 stellar teams taking over the real-world and beyond (space literally 🛰) Aira Labs - The world's first wearable air quality sensor with real-time monitoring and a blockchain-powered data marketplace, empowering individuals to track, improve, and monetize their exposure to air pollution. Beacon Protocol - Decentralized private data infra for smarter AI. Unlocking private data sources for AI and ensuring everyone gets paid. Combinder - DePIN platform connecting household Distributed Energy Resources (DER) to create a virtual power plant for grid flexibility. Decen Space - A decentralized ground station network enabling global satellite communications through community operated nodes and blockchain based coordination. SkyX - The ‘Starlink for Weather’, a decentralized, AI-powered hyperlocal weather network improving forecasting accuracy up to 85%.

Outlier Ventures

49,583 Aufrufe • vor 1 Jahr