SpaceX Commits Exclusively to Nvidia GPUs for Massive Orbital AI Compute Network Targeting 10GW by 2027
2 Sources
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Nvidia to build Starmind AI1 satellite compute payload for SpaceX
The project reaches far beyond a single satellite. SpaceX envisions an orbital network that could eventually grow to one million satellites, creating what would amount to a distributed AI supercomputer in space. If realized, the constellation would dramatically expand computing capacity outside Earth's data centers and rely on laser links to move data between satellites at extremely high speeds. SpaceX plans to power the first Starmind satellites with Nvidia's Vera CPUs and Rubin GPUs, hardware the chipmaker recently positioned as part of its emerging space computing portfolio. Elon Musk also endorsed the partnership, saying SpaceX has committed to using Nvidia GPUs exclusively because "they are the best." The partnership also marks SpaceX's addition to Nvidia's growing list of space computing collaborators. When Nvidia introduced its space platform in March, it named six launch partners but did not include SpaceX. Tuesday's announcement adds the aerospace company to that ecosystem as both firms push AI infrastructure beyond terrestrial networks. According to Nvidia, its Space-1 Vera Rubin module can deliver up to 25 times the AI processing performance of an H100 GPU. Commercial shipments of the platform are expected to begin later this year. Million-satellite vision SpaceX believes space offers several advantages for AI computing. Satellites operating in sun-synchronous orbit receive steady solar energy, providing a consistent power source without depending on Earth's electrical grid. Engineers also designed the Starmind architecture to remain hardware-flexible. Future satellites could replace onboard processors with newer chips from different suppliers without redesigning the entire spacecraft. Earlier this year, SpaceX asked the Federal Communications Commission for permission to deploy as many as one million orbital data center satellites between roughly 311 and 1,243 miles (500 and 2,000 kilometers) above Earth. Company filings describe a petabit-scale optical communications network that would allow satellites to exchange data using high-speed laser links.
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Elon Musk Commits SpaceX Exclusively To NVIDIA GPUs Citing "They're The Best", With 10GW Of AI Compute Coming By 2027
SpaceX's Founder & CEO, Elon Musk, has said that the company has committed to using NVIDIA GPUs exclusively. SpaceX Will Leverage NVIDIA GPUs "Exclusively," With Elon Saying That They're "The Best" On The Market Well, it looks like SpaceX has decided to use NVIDIA's GPUs exclusively to power its AI needs. In its latest earnings call, Elon Musk confirmed that NVIDIA's latest Vera Rubin platform will be used at SpaceX data centers for AI workloads, with deployments spanning across the globe and also in space. The NVIDIA Vera Rubin NVL72 rack, codenamed Kyber, will be the one powering SpaceX's AI data centers. Initially, a total of 2GW of compute capacity will be installed by this year's end, and a total of 10 GW of capacity is expected to come online by the end of 2027. This marks a big win for NVIDIA as it continues to gain major deployments for its Vera Rubin platform across big names in the AI cloud provider segment. More interestingly, the fact that SpaceX is already citing deployments in Earth's orbit is the bigger part of the story. NVIDIA has already announced its Space-certified Space-1 Vera Rubin module. It offers four Rubin GPUs, two Vera CPUs, and a hefty amount of memory. Some features of the NVIDIA Space-1 Vera Rubin module include: * Performance: The module offers up to 25 times the AI compute capability of the previous H100 GPU for orbital workloads. * Purpose: It enables real-time AI processing for geospatial intelligence, autonomous operations, and on-orbit analytics. * Architecture: It utilizes the same "Vera Rubin" architecture as NVIDIA's terrestrial chips for a unified development ecosystem. * Partnerships: The hardware is planned for use by firms such as Aetherflux, Axiom Space, and Planet Labs. * Application: It is intended for satellites and on-orbit servicing vehicles requiring high-performance AI inference in space. Previously, SpaceX had announced a partnership with Anthropic to build a multi-Gigawatt "Orbital" AI data center. SpaceXAI also believes that an orbital compute installation will address some of the major bottlenecks of terrestrial-based systems, such as Power, Land, and Cooling. With unlimited power and cooling, AI chips will then become a major bottleneck. Another bottleneck can arise from deliveries to space itself, as the reliance on commercial "outer space" shipments to move many hundreds of thousands of GPUs will be a task in itself. But at the pace at which AI is moving right now, the outer space AI Datacenter dream is far from a dream, and is aiming to become a reality very soon. Follow Wccftech on Google to get more of our news coverage in your feeds.
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SpaceX has partnered with Nvidia to build orbital AI data centers powered by Vera Rubin GPUs, with Elon Musk confirming exclusive commitment. The company plans to deploy 2GW of AI compute capacity by year-end and scale to 10GW by 2027, eventually expanding to a million-satellite constellation forming a distributed AI supercomputer in space.
SpaceX Selects Nvidia for Exclusive AI Computing Partnership
SpaceX has committed to using NVIDIA GPUs exclusively for its AI infrastructure, both on Earth and in orbit. During Nvidia's latest earnings call, Elon Musk confirmed that the company chose Nvidia "because they are the best" on the market
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. The partnership centers on deploying Nvidia Vera Rubin GPUs to power what could become the world's first large-scale orbital AI data center network.The collaboration adds SpaceX to Nvidia's growing roster of space computing partners. When Nvidia introduced its space platform in March, it named six launch partners but did not include SpaceX
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. This announcement positions both companies at the forefront of pushing AI compute infrastructure beyond terrestrial data centers and into orbital environments where power, cooling, and land constraints differ dramatically from ground-based facilities.Aggressive Deployment Timeline and Capacity Targets
SpaceX plans to install 2GW of AI compute capacity by the end of this year, scaling to 10GW by the end of 2027
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. The Nvidia Vera Rubin NVL72 rack, codenamed Kyber, will power these data centers across global locations and orbital installations. This marks one of the largest commercial commitments to Nvidia's latest computing platform and signals SpaceX's intent to rapidly expand its AI processing capabilities.The deployment schedule reflects the urgency with which SpaceX approaches AI infrastructure development. By securing exclusive access to NVIDIA GPUs, the aerospace company aims to maintain consistent hardware performance across its expanding network while avoiding the integration challenges that come with multi-vendor ecosystems. The timeline also suggests SpaceX believes it can overcome the logistical hurdles of launching massive quantities of computing hardware into orbit within the next few years.
Space-1 Vera Rubin Module Delivers 25x Performance Boost
Source: Wccftech
Nvidia's Space-1 Vera Rubin module serves as the foundation for SpaceX's orbital computing ambitions. The platform delivers up to 25 times the AI processing performance of an H100 GPU for orbital workloads
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. Each module contains four Rubin GPUs, two Vera CPUs, and substantial memory capacity designed specifically for the harsh conditions of space operations.The hardware enables real-time AI processing for geospatial intelligence, autonomous operations, and on-orbit analytics
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. By using the same Vera Rubin architecture as terrestrial chips, Nvidia maintains a unified development ecosystem that allows engineers to build applications once and deploy them across both ground and space environments. Commercial shipments of the Space-1 platform are expected to begin later this year1
, aligning with SpaceX's initial deployment goals.Million-Satellite Vision for Distributed AI Supercomputer in Space
The partnership reaches far beyond initial deployments. SpaceX envisions an orbital network that could eventually grow to one million satellites, creating what would amount to a distributed AI supercomputer in space
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. Earlier this year, SpaceX asked the Federal Communications Commission for permission to deploy as many as one million orbital data center satellites between roughly 311 and 1,243 miles above Earth1
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Source: Interesting Engineering
Company filings describe a petabit-scale optical communications network that would allow satellites to exchange data using high-speed laser links
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. This interconnected constellation would dramatically expand computing capacity outside Earth's traditional infrastructure and rely on laser communications to move massive amounts of data between satellites at extremely high speeds. The architecture represents a fundamental reimagining of how large-scale AI compute resources could be organized and accessed.Related Stories
Orbital Advantages Address Terrestrial Bottlenecks
SpaceX and Anthropic have previously discussed building multi-gigawatt orbital AI facilities to address major bottlenecks of terrestrial-based systems, including power, land, and cooling constraints
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. Satellites operating in sun-synchronous orbit receive steady solar energy, providing a consistent power source without depending on Earth's electrical grid1
. This eliminates one of the primary constraints facing ground-based data centers, which increasingly struggle to secure sufficient power as AI workloads grow.With unlimited power and cooling available in space, AI chips themselves become the primary bottleneck rather than supporting infrastructure
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. Engineers designed the Starmind architecture to remain hardware-flexible, allowing future satellites to replace onboard processors with newer chips from different suppliers without redesigning the entire spacecraft1
. This modularity could prove essential as GPU technology continues advancing rapidly.Launch Logistics and Future Challenges
Delivering hundreds of thousands of GPUs to orbit presents significant logistical challenges. The reliance on commercial space shipments to move such massive quantities of computing hardware will test current launch capabilities
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. However, SpaceX's existing Starlink deployment experience and its expanding launch capacity through Starship development position the company uniquely to attempt this ambitious undertaking.The pace of AI development suggests that orbital AI data centers are transitioning from concept to near-term reality
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. As terrestrial facilities face mounting constraints around power availability, cooling requirements, and physical space, orbital alternatives become increasingly attractive despite their complexity. The SpaceX-Nvidia partnership represents the first major commercial commitment to this vision, potentially reshaping where and how humanity deploys its most powerful computing resources.References
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