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#Google Cloud Data Centers Reel by @markus.raikkonen - ReOrbit announces "Space Cloud" in collaboration with Google Cloud. A distributed Data Center in Space! "…a network of multi-purpose satellites ca
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@markus.raikkonen
ReOrbit announces “Space Cloud” in collaboration with Google Cloud. A distributed Data Center in Space! “…a network of multi-purpose satellites capable of moving and processing data securely.” “The market situation is like in the 90’s before modern fiber networks existed, and there is a clear demand for data to move through space for both commercial and sovereign use cases, comments Markus Räikkönen the Chief Commercial Officer and Board member of ReOrbit.” #reorbit 🛰️🇫🇮🌎
#Google Cloud Data Centers Reel by @marketers.quest (verified account) - Nvidia backed Starcloud is developing orbital data centers to address AI's massive energy demands by leveraging space's unlimited solar power and vacu
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@marketers.quest
Nvidia backed Starcloud is developing orbital data centers to address AI’s massive energy demands by leveraging space’s unlimited solar power and vacuum cooling. Company Background Starcloud, founded in 2024 and formerly Lumen Orbit, is a Redmond, Washington-based startup backed by NVIDIA Inception and Y Combinator. It rebranded in early 2025 after raising $10 million for in-orbit computing. The team includes experts from SpaceX, Microsoft, and Airbus, focusing on hyperscale AI clusters in space. Key Technology These data centers use sun-synchronous orbits for near-constant sunlight (>95% capacity factor), generating 5-8x more solar energy than Earth-based panels at ~$0.002/kWh. Cooling relies on radiative heat rejection to deep space, eliminating water use and chillers while matching top terrestrial PUE. NVIDIA H100 GPUs handle radiation with shielding, enabling AI training and edge inference. Milestones Achieved In 2025, Starcloud launched Starcloud-1 (60kg demonstrator) via SpaceX Falcon 9, running the first orbital NVIDIA H100 and training Google’s Gemma LLM—historic firsts for space compute. Starcloud-2, a commercial GPU cluster satellite, is set for 2026 with real-time Earth observation processing. Future Plans Starcloud targets GW-scale deployments (e.g., 5GW needing ~4km solar arrays) using modular, dockable containers launched at $30/kg via reusable rockets like Starship. Partnerships with Crusoe and DOD aim for 10GW by early 2030s, offering lower costs than Earth grids strained by AI power needs. Modules emphasize maintainability, with old units replaceable or de-orbited. #space #spacex #spaceexploration #nasa #nvidia
#Google Cloud Data Centers Reel by @neurafeed.ai - Data centers in space are happening: A company called Starcloud (backed by NVIDIA) shared a concept video of a 5GW (!) space-based data center boasti
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@neurafeed.ai
Data centers in space are happening: A company called Starcloud (backed by NVIDIA) shared a concept video of a 5GW (!) space-based data center boasting a 4km^2 solar array.
#Google Cloud Data Centers Reel by @chrischang8304 - As data centers on Earth strain water supply and power grids, companies like SpaceX and Google are starting to look beyond the planet for solution. Bu
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@chrischang8304
As data centers on Earth strain water supply and power grids, companies like SpaceX and Google are starting to look beyond the planet for solution. But are space data centers sci-fi fantasy or the next frontier of AI computing? #AI #space #SpaceX #elonmusk
#Google Cloud Data Centers Reel by @aiinterconnect - The sheer scale of future orbital infrastructure is staggering! 🤯 Peering into concepts for data centers in space that span a colossal *four kilomete
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@aiinterconnect
The sheer scale of future orbital infrastructure is staggering! 🤯 Peering into concepts for data centers in space that span a colossal *four kilometers by four kilometers*—a full 16 square kilometers of computing real estate. The most captivating part? Most of that footprint is dedicated purely to solar panels, needed to capture the raw energy for these celestial servers. With entities like StarCloud exploring these massive builds, the idea shifts from science fiction to engineering reality. If we can assemble the International Space Station, building these power-hungry outposts for in-orbit processing feels like the inevitable next step for SpaceTech. A wild glimpse into how computing power will conquer the final frontier. #SpaceTech #DataCenter #FutureOfComputing #Orbit #TechInnovation
#Google Cloud Data Centers Reel by @pascal_bornet - 🚀 AI Has Outgrown Our Planet. We used to say AI was reaching for the stars. Now, it literally is. A YC startup called Starcloud is sending NVIDIA G
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@pascal_bornet
🚀 AI Has Outgrown Our Planet. We used to say AI was reaching for the stars. Now, it literally is. A YC startup called Starcloud is sending NVIDIA GPUs into orbit — building solar-powered data centers in space. No grid limits. No cooling costs. No regulations. Just endless sunlight and infinite cold. Each satellite, the size of a fridge, runs NVIDIA’s H100 — the same chip behind GPT-5. Ten times cheaper. Ten times greener. It sounds like science fiction, but it’s a glimpse into a new reality: AI systems trained above the clouds, powered by the sun, cooled by space itself. Of course, space isn’t friendly — radiation, latency, and heat management remain formidable challenges. But if this works, AI’s next revolution won’t happen on Earth. It’ll happen beyond it. 💬 What do you think — is this the future of sustainable intelligence, or just the start of a cosmic compute race? #AI #Innovation #NVIDIA #SpaceTech #ArtificialIntelligence #FutureOfWork #DigitalTransformation #Automation #Sustainability #GPT5 #Technology #FutureOfAI
#Google Cloud Data Centers Reel by @agitix.ai - The Orbital Compute Paradigm: Engineering the Space-Based Data Center 🌌🚀 The shift toward Space-Based AI Infrastructure is no longer a "moonshot"-as
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@agitix.ai
The Orbital Compute Paradigm: Engineering the Space-Based Data Center 🌌🚀 The shift toward Space-Based AI Infrastructure is no longer a "moonshot"—as of early 2026, firms like Starcloud and SpaceX are filing for million-satellite "Cloud Constellations." The core engineering advantage lies in the unique physics of a Dawn-Dusk Sun-Synchronous Orbit (SSO). The Mechatronics of Orbital Compute Deploying a data center in SSO solves the two primary bottlenecks of terrestrial AI: Power Availability and Thermal Management. Persistent Solar Irradiance: In a dawn-dusk SSO, a satellite rides the "terminator line," staying in nearly 24/7 sunlight. This allows for near-continuous solar collection (approx. 1,366 W/m²) without the day/night battery cycles required on Earth. In space, solar arrays are up to 8x more productive due to the lack of atmospheric attenuation. Radiative Cooling at Scale: While space is a vacuum (meaning no convection), it offers an "effective ambient temperature" of -270°C. By utilizing massive Deployable Radiators pointing toward deep space, engineers can dissipate waste heat via infrared radiation. To maximize efficiency, systems use Heat Pumps to raise the radiator's temperature—since radiative power scales with T 4 , a hotter radiator is significantly smaller and more effective. Liquid-to-Radiation Heat Loops: Internal thermal management uses high-performance materials like Graphene and Liquid Metal to shuttle heat from GPUs to external wing-plate radiators. These radiators often use electrochromic coatings to adjust emissivity in real-time, preventing the system from becoming a "heat absorber" when exposed to Earth’s albedo. The 2026 Infrastructure Supercycle We are entering a phase where Power, not Location, is the primary site selection criterion. By moving compute to orbit, we bypass terrestrial grid constraints and land-use regulations. Projects like Google’s Project Suncatcher are already validating 1.6 Tbps inter-satellite optical links to manage these gigawatt-scale clusters.

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