正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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... show more

Y Combinator

1,624,945 subscribers

341,525 次观看 • 8 个月前 •via X (Twitter)

新闻政治教育科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

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

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

19,191 次观看 • 1 个月前

🆕📺EXCLUSIVE tour of @Starcloud_Inc1 ! Starcloud is making history by launching an @NVIDIA on a SpaceX rocket for the first AI datacenter in space!! 🚀 "We're maybe the last and largest business ever, because we're heading towards building a Dyson Sphere"- 🤯

🆕📺EXCLUSIVE tour of @Starcloud_Inc1 ! Starcloud is making history by launching an @NVIDIA on a SpaceX rocket for the first AI datacenter in space!! 🚀 "We're maybe the last and largest business ever, because we're heading towards building a Dyson Sphere"- 🤯

Gali

82,023 次观看 • 9 个月前

🚨 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…

🚨 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🚀

10,185 次观看 • 1 年前

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 Elon Musk , Google AI Project Suncatcher) in space AI computing, this launch signifies Orbit AI’s position as the first to achieve real-world AI deployment, formally inaugurating its "Orbit AI Cloud Platform." Genesis-1 is equipped with NVIDIA NVIDIA AI Compute Cores, running a 2.6B parameter AI model for real-time analysis of infrared remote sensing data in space. By processing data on orbit, Genesis-1 drastically reduces critical information retrieval time (e.g., disaster alerts, maritime monitoring) from hours to mere seconds, while cutting transmission bandwidth costs by over 90%. Furthermore, Orbit AI has partnered with from energy company Powerbank (NASDAQ: SUUN) ( utilizing infinite solar power to achieve carbon-neutral computing and projecting a reduction in overall energy operational costs by 60%. Following its triumph at the BNB Chain Hackathon ( Orbit AI protocol is committed to creating an ultimate censorship-resistant deployment environment: Developers can deploy AI models, privacy applications, financial algorithms, and even blockchain nodes on the satellite network. This ensures that code and data operate in a physically isolated, neutral environment beyond the jurisdiction of major nations, guaranteeing extreme digital sovereignty and service resilience. Orbit AI will also leverage the RWA (Real World Assets) mechanism to allow community users to purchase satellite NFT shares, becoming co-owners of this space infrastructure and sharing in its compute revenues, thus building a community-owned orbital AI economy.

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 Elon Musk , Google AI Project Suncatcher) in space AI computing, this launch signifies Orbit AI’s position as the first to achieve real-world AI deployment, formally inaugurating its "Orbit AI Cloud Platform." Genesis-1 is equipped with NVIDIA NVIDIA AI Compute Cores, running a 2.6B parameter AI model for real-time analysis of infrared remote sensing data in space. By processing data on orbit, Genesis-1 drastically reduces critical information retrieval time (e.g., disaster alerts, maritime monitoring) from hours to mere seconds, while cutting transmission bandwidth costs by over 90%. Furthermore, Orbit AI has partnered with from energy company Powerbank (NASDAQ: SUUN) ( utilizing infinite solar power to achieve carbon-neutral computing and projecting a reduction in overall energy operational costs by 60%. Following its triumph at the BNB Chain Hackathon ( Orbit AI protocol is committed to creating an ultimate censorship-resistant deployment environment: Developers can deploy AI models, privacy applications, financial algorithms, and even blockchain nodes on the satellite network. This ensures that code and data operate in a physically isolated, neutral environment beyond the jurisdiction of major nations, guaranteeing extreme digital sovereignty and service resilience. Orbit AI will also leverage the RWA (Real World Assets) mechanism to allow community users to purchase satellite NFT shares, becoming co-owners of this space infrastructure and sharing in its compute revenues, thus building a community-owned orbital AI economy.

Orbit AI🛰️

24,839 次观看 • 7 个月前

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! ✨

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! ✨

Pixxel

201,088 次观看 • 2 个月前

The difference between a Harvard Business School student and a Founder. HBS STUDENT: Lists all the reasons AI Space Compute is hard. FOUNDER: “ I don't disagree with you that building data centers in space is hard. Building data centers in space is extremely hard. . . If you think [demand] is going to double in the next three years - demand for energy from just data centers - and then double in the next three years after that, and then double in the next three years after that, then: We don’t have a choice. We literally have to put data centers in space. So we have to figure this stuff out.” Philip Johnston Starcloud Founders solve problems. Founders KNOW it will be HARD and do it anyway because it simply NEEDS TO BE DONE. That is founder mindset - and that mindset is what Harvard Business School can’t teach.

The difference between a Harvard Business School student and a Founder. HBS STUDENT: Lists all the reasons AI Space Compute is hard. FOUNDER: “ I don't disagree with you that building data centers in space is hard. Building data centers in space is extremely hard. . . If you think [demand] is going to double in the next three years - demand for energy from just data centers - and then double in the next three years after that, and then double in the next three years after that, then: We don’t have a choice. We literally have to put data centers in space. So we have to figure this stuff out.” Philip Johnston Starcloud Founders solve problems. Founders KNOW it will be HARD and do it anyway because it simply NEEDS TO BE DONE. That is founder mindset - and that mindset is what Harvard Business School can’t teach.

Amy

19,909 次观看 • 5 个月前

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

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

Milk Road AI

12,140 次观看 • 1 个月前

Now is the time to meet NASA's call to transition its low-Earth orbit presence from the International Space Station (ISS) to a lower-cost commercial option. Vast is ready to deliver for America and our international partners. We will be delivering the world's first, most affordable, commercial space station in 2026: Haven-1. Haven-1 will be Vast's first step toward a long-term commercial presence in orbit. Purpose-built for scientific research, in-space manufacturing, and human habitation, Haven-1 will ensure humanity’s presence in low-Earth orbit. Backed by a world-class team and built with speed, safety, and efficiency at its core, this marks the next era in human space exploration—not just reaching orbit, but staying there. Learn more about how we are making it happen.

Now is the time to meet NASA's call to transition its low-Earth orbit presence from the International Space Station (ISS) to a lower-cost commercial option. Vast is ready to deliver for America and our international partners. We will be delivering the world's first, most affordable, commercial space station in 2026: Haven-1. Haven-1 will be Vast's first step toward a long-term commercial presence in orbit. Purpose-built for scientific research, in-space manufacturing, and human habitation, Haven-1 will ensure humanity’s presence in low-Earth orbit. Backed by a world-class team and built with speed, safety, and efficiency at its core, this marks the next era in human space exploration—not just reaching orbit, but staying there. Learn more about how we are making it happen.

Vast

97,403 次观看 • 1 年前

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

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

Muskonomy

26,275 次观看 • 19 天前

$This is the next big plan for SpaceX: AI Data Centers in Space. • To achieve even a small fraction of a Kardashev Type II civilization (harnessing the full energy of the Sun), AI compute will require orders of magnitude more energy than Earth can ever provide. • Earth only intercepts about 1–2 billionths of the Sun’s total energy output. • Massive-scale AI (e.g., a million times more energy than Earth could produce) can only be powered by capturing far more solar energy in space. • Space-based solar-powered AI satellites/compute clusters are therefore inevitable. • In space, sunlight is continuous (no night, no clouds, no atmosphere), so no batteries are needed. • Solar panels in space can be extremely lightweight and cheap (no glass, no storm-proof framing required). • Cooling in space is dramatically easier and simpler: just radiate heat directly into the cold vacuum — no water, no fans, no liquids, no massive cooling infrastructure. • Most of the mass/volume of current supercomputer racks (e.g., GB300) is cooling hardware; in space that largely disappears. • The cost-effectiveness of electricity and compute in space will soon be overwhelmingly better than on Earth. • Elon’s Prediction: within ~5 years (by ~2030), the lowest-cost way to run large-scale AI will be solar-powered satellites in space. • A terawatt/year of AI compute is essentially impossible on Earth with any realistic build-out of power plants. • Scaling both power generation and cooling on Earth at the required rate is physically and politically unfeasible.$

This is the next big plan for SpaceX: AI Data Centers in Space. • To achieve even a small fraction of a Kardashev Type II civilization (harnessing the full energy of the Sun), AI compute will require orders of magnitude more energy than Earth can ever provide. • Earth only intercepts about 1–2 billionths of the Sun’s total energy output. • Massive-scale AI (e.g., a million times more energy than Earth could produce) can only be powered by capturing far more solar energy in space. • Space-based solar-powered AI satellites/compute clusters are therefore inevitable. • In space, sunlight is continuous (no night, no clouds, no atmosphere), so no batteries are needed. • Solar panels in space can be extremely lightweight and cheap (no glass, no storm-proof framing required). • Cooling in space is dramatically easier and simpler: just radiate heat directly into the cold vacuum — no water, no fans, no liquids, no massive cooling infrastructure. • Most of the mass/volume of current supercomputer racks (e.g., GB300) is cooling hardware; in space that largely disappears. • The cost-effectiveness of electricity and compute in space will soon be overwhelmingly better than on Earth. • Elon’s Prediction: within ~5 years (by ~2030), the lowest-cost way to run large-scale AI will be solar-powered satellites in space. • A terawatt/year of AI compute is essentially impossible on Earth with any realistic build-out of power plants. • Scaling both power generation and cooling on Earth at the required rate is physically and politically unfeasible.

Nic Cruz Patane

49,019 次观看 • 7 个月前

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

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

CNBC-TV18

30,407 次观看 • 2 个月前

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.

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

25,768 次观看 • 3 个月前

🚨 Elon Musk says SpaceX is going public because the company is entering a major investment phase Speaking at J.P. Morgan, he highlighted plans for 100,000+ next-generation Starlink satellites, AI data centers in space, and continued development of Starship, which he believes can dramatically lower the cost of reaching orbit. Musk says these projects could open the door to entirely new industries in space. 🚀 $SPCX 00:00 Welcome to JPMorgan 02:45 Why SpaceX Goes Public 03:28 Starlink V3 and Space Energy 07:46 Moon to Mars Roadmap 10:18 Starship Reusability Breakthrough 12:06 Next Gen Starlink Plans 13:54 AI Data Centers in Orbit 15:07 Terafab and US Chip Supply 16:35 AI Strategy and Grok 18:38 Culture and Building the Bench

🚨 Elon Musk says SpaceX is going public because the company is entering a major investment phase Speaking at J.P. Morgan, he highlighted plans for 100,000+ next-generation Starlink satellites, AI data centers in space, and continued development of Starship, which he believes can dramatically lower the cost of reaching orbit. Musk says these projects could open the door to entirely new industries in space. 🚀 $SPCX 00:00 Welcome to JPMorgan 02:45 Why SpaceX Goes Public 03:28 Starlink V3 and Space Energy 07:46 Moon to Mars Roadmap 10:18 Starship Reusability Breakthrough 12:06 Next Gen Starlink Plans 13:54 AI Data Centers in Orbit 15:07 Terafab and US Chip Supply 16:35 AI Strategy and Grok 18:38 Culture and Building the Bench

Herbert Ong

199,523 次观看 • 1 个月前

🌍 What if frontline workers could step inside their data—and interact with it in real time? That's spatial computing in action. At Dell Tech World, guests Jonathan Siegal (Dell Technologies) and Lori-Lee Elliott (Dauntless (Formerly Future Sight AR)) shared how Katana is blending XR and AI to transform how people work—from factory floors to outer space. One stunning example: they created a live digital twin of the solar system, built using real-time NASA satellite data, enabling users to monitor solar flares & navigate space weather. This is just one preview of how immersive tech will revolutionize industries by putting powerful data into the hands (and eyes) of those who need it most. Watch the full interview to see where XR + AI are taking us next:

🌍 What if frontline workers could step inside their data—and interact with it in real time? That's spatial computing in action. At Dell Tech World, guests Jonathan Siegal (Dell Technologies) and Lori-Lee Elliott (Dauntless (Formerly Future Sight AR)) shared how Katana is blending XR and AI to transform how people work—from factory floors to outer space. One stunning example: they created a live digital twin of the solar system, built using real-time NASA satellite data, enabling users to monitor solar flares & navigate space weather. This is just one preview of how immersive tech will revolutionize industries by putting powerful data into the hands (and eyes) of those who need it most. Watch the full interview to see where XR + AI are taking us next:

Six Five Media

103,622 次观看 • 1 年前

We are thrilled to announce that Space and Time Labs has secured a $20M Series A, bringing our total funding to $50 million. 🚀⏳ SxT is empowering the community to own their future in an AI-powered world by providing the tools they need to build sophisticated, data-driven applications, tokenize them onchain, and win in the AI economy. Generate a new world with Space and Time, secured by our sub-second ZK coprocessor. Exclusive by FORTUNE:

We are thrilled to announce that Space and Time Labs has secured a $20M Series A, bringing our total funding to $50 million. 🚀⏳ SxT is empowering the community to own their future in an AI-powered world by providing the tools they need to build sophisticated, data-driven applications, tokenize them onchain, and win in the AI economy. Generate a new world with Space and Time, secured by our sub-second ZK coprocessor. Exclusive by FORTUNE:

Space and Time

285,079 次观看 • 1 年前

We sat down with Philip Johnston, co-founder and CEO of Starcloud, at MIT to discuss why the future of data centers might be in space. After graduating Y Combinator less than 2 years ago, Starcloud just raised an impressive $170M Series A at a $1.1B valuation led by Benchmark and EQT Ventures & Growth. The conversation covers everything from solar physics and cooling systems to GPU economics, radiation hardening, launch costs, and satellite design. Philip also shares what it takes to build a unicorn deeptech startup. We discuss his experience with YC, the skepticism around their demoday launch, and the crazy last minute race to get Starcloud’s first satellite onboard their scheduled Falcon flight. Full episode is here on X and at any of the links below (see comment). Timestamps: 00:00 - Intro 01:12 - What is Starcloud? 02:44 - Why do data centers need to go to space? 06:15 - Can’t we just build more solar panels on earth? 11:10 - Economic analysis of Starcloud 19:56 - How does Starcloud’s cooling work? 28:26 - Training an LLM in space 32:07 - Addressing critics on space Twitter 34:23 - Is Starcloud overfunded? 35:59 - Will demand for data centers keep going up? 38:11 - GPU lifespan and disposal in space 39:47 - Bus structures 41:43 - Starcloud’s origin and founders 49:29 - Fundraising, Competition, and Meeting Expectations 53:29 - Satellite size and collisions 56:29 - Manufacturing Bottlenecks 1:00:20 - Starcloud 1 tests 1:01:57 - Acceleration after YC 1:03:43 - Testing on Earth 1:05:06 - Motivations for Starcloud 1:06:45 - Data centers on the Moon 1:08:12 - Interacting with AI companies 1:08:18 - What’s next for Starcloud? 1:14:01 - Other uses for Starcloud satellites 1:17:56 - Lunar hotels and space elevators 1:24:28 - Complementary business ideas to Starcloud 1:29:51 - Philip’s competitive twin 1:32:18 - Philip and Mike’s thoughts on YC 1:36:04 - Advice for young entrepreneurs Elon Musk Scott Manley Kyle Hill Hank Green

We sat down with Philip Johnston, co-founder and CEO of Starcloud, at MIT to discuss why the future of data centers might be in space. After graduating Y Combinator less than 2 years ago, Starcloud just raised an impressive $170M Series A at a $1.1B valuation led by Benchmark and EQT Ventures & Growth. The conversation covers everything from solar physics and cooling systems to GPU economics, radiation hardening, launch costs, and satellite design. Philip also shares what it takes to build a unicorn deeptech startup. We discuss his experience with YC, the skepticism around their demoday launch, and the crazy last minute race to get Starcloud’s first satellite onboard their scheduled Falcon flight. Full episode is here on X and at any of the links below (see comment). Timestamps: 00:00 - Intro 01:12 - What is Starcloud? 02:44 - Why do data centers need to go to space? 06:15 - Can’t we just build more solar panels on earth? 11:10 - Economic analysis of Starcloud 19:56 - How does Starcloud’s cooling work? 28:26 - Training an LLM in space 32:07 - Addressing critics on space Twitter 34:23 - Is Starcloud overfunded? 35:59 - Will demand for data centers keep going up? 38:11 - GPU lifespan and disposal in space 39:47 - Bus structures 41:43 - Starcloud’s origin and founders 49:29 - Fundraising, Competition, and Meeting Expectations 53:29 - Satellite size and collisions 56:29 - Manufacturing Bottlenecks 1:00:20 - Starcloud 1 tests 1:01:57 - Acceleration after YC 1:03:43 - Testing on Earth 1:05:06 - Motivations for Starcloud 1:06:45 - Data centers on the Moon 1:08:12 - Interacting with AI companies 1:08:18 - What’s next for Starcloud? 1:14:01 - Other uses for Starcloud satellites 1:17:56 - Lunar hotels and space elevators 1:24:28 - Complementary business ideas to Starcloud 1:29:51 - Philip’s competitive twin 1:32:18 - Philip and Mike’s thoughts on YC 1:36:04 - Advice for young entrepreneurs Elon Musk Scott Manley Kyle Hill Hank Green

632nm

46,599 次观看 • 3 个月前

We're building one of Europe's largest AI factories in Lappeenranta, Finland, and we're looking for the team to run it. Latest-generation NVIDIA accelerated compute. First capacity live in 2027, powered by low-carbon energy. From shift patterns to tooling, this is a chance to write the runbook from day one across data center operations and data center IT. Bring it online with us:

We're building one of Europe's largest AI factories in Lappeenranta, Finland, and we're looking for the team to run it. Latest-generation NVIDIA accelerated compute. First capacity live in 2027, powered by low-carbon energy. From shift patterns to tooling, this is a chance to write the runbook from day one across data center operations and data center IT. Bring it online with us:

Nebius

47,636 次观看 • 2 个月前

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

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

Dominik Scholz

20,169 次观看 • 2 个月前

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

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

Ricardo

2,907,313 次观看 • 7 个月前

Jensen Huang just doubled NVIDIA's demand forecast to $1 Trillion through 2027 🤯 Then spent two hours explaining why that number is conservative… Here's everything today from GTC: - NemoClaw: NVIDIA's open-source enterprise AI agent stack built around OpenClaw. Jensen called OpenClaw "the operating system for personal AI" and said every company needs a strategy for it. - Space-1: NVIDIA is putting Vera Rubin data centers in orbit. Not a concept. An actual system being designed for space deployment right now. - DLSS 5: 3D-guided neural rendering that blends raw graphics with generative AI. Jensen called it the future of real-time rendering. - AWS: Deploying 1 million+ NVIDIA GPUs starting this year. Azure was the first hyperscaler to power up Vera Rubin. - Vera Rubin: NVIDIA's next-gen AI supercomputer. 10x more performance per watt than Blackwell, 700 million tokens per second, shipping later this year. - Groq 3 LPU: First chip from NVIDIA's $20B Groq acquisition. A purpose-built inference accelerator that ships Q3. NVIDIA now owns training AND inference. -Feynman: The architecture after Rubin, coming 2028. New GPU, new LPU, new CPU. NVIDIA is on a 12-month chip cadence and the treadmill never stops. - Autonomous driving: BYD, Hyundai, Nissan, and Geely building Level 4 vehicles on NVIDIA. Uber deploying NVIDIA-powered robotaxis across 28 cities by 2028. The man doubled his demand forecast to a trillion dollars, announced data centers in space, and closed the show with a robot singing country music. This is NVIDIA's world. Everyone else is just renting compute in it.

Jensen Huang just doubled NVIDIA's demand forecast to $1 Trillion through 2027 🤯 Then spent two hours explaining why that number is conservative… Here's everything today from GTC: - NemoClaw: NVIDIA's open-source enterprise AI agent stack built around OpenClaw. Jensen called OpenClaw "the operating system for personal AI" and said every company needs a strategy for it. - Space-1: NVIDIA is putting Vera Rubin data centers in orbit. Not a concept. An actual system being designed for space deployment right now. - DLSS 5: 3D-guided neural rendering that blends raw graphics with generative AI. Jensen called it the future of real-time rendering. - AWS: Deploying 1 million+ NVIDIA GPUs starting this year. Azure was the first hyperscaler to power up Vera Rubin. - Vera Rubin: NVIDIA's next-gen AI supercomputer. 10x more performance per watt than Blackwell, 700 million tokens per second, shipping later this year. - Groq 3 LPU: First chip from NVIDIA's $20B Groq acquisition. A purpose-built inference accelerator that ships Q3. NVIDIA now owns training AND inference. -Feynman: The architecture after Rubin, coming 2028. New GPU, new LPU, new CPU. NVIDIA is on a 12-month chip cadence and the treadmill never stops. - Autonomous driving: BYD, Hyundai, Nissan, and Geely building Level 4 vehicles on NVIDIA. Uber deploying NVIDIA-powered robotaxis across 28 cities by 2028. The man doubled his demand forecast to a trillion dollars, announced data centers in space, and closed the show with a robot singing country music. This is NVIDIA's world. Everyone else is just renting compute in it.

Josh Kale

45,875 次观看 • 4 个月前