Thrilled to see the incredible impact Space Intelligence is driving using Microsoft Foundry and the Microsoft Planetary Computer. Their work mapping global forests at unprecedented scale is a powerful example of how cloud, AI, and ecological expertise can accelerate climate action. By moving to Microsoft Foundry, Space Intelligence achieved 100× faster data production and cut mapping time by 75%, enabling them to map 3 billion hectares across 50+ countries in just one year. #PlanetaryComputer #AIFoundry #Azure
Space Intelligence Boosts Climate Action with Microsoft Foundry and Planetary Computer
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What if storms could be predicted earlier with higher confidence? #Tomorrow.io innovates on #weather forecasting by leveraging AI Infrastructure powered by #MicrosoftAzure and #NVIDIA, combining real‑time satellite observations with large‑scale compute to close global weather data gaps and improve storm prediction. From satellites to supercomputers, see how #AI is turning planetary‑scale weather data into actionable intelligence. 🎥 Watch now: https://msft.it/6040QHPYm #StormPrediction #WeatherIntelligence #AI #ClimateInnovation #HPC #MSFTAdvocate
Why are weather forecasts so hard to get right? | Microsoft Azure and NVIDIA | Catalyst E4
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The "cloud" has officially expanded beyond our atmosphere. D-Orbit has turned their ION Satellite Carrier into a floating data center using Red Hat Device Edge and K3s. They are proving that "Cloud Native" agility works just as well in a vacuum as it does on Earth 🌍 . This shift from legacy firmware to orbital containers is revolutionary. It serves as a critical proof-of-concept for massive moonshots like Google's Project Suncatcher. While D-Orbit is perfecting the "Orbital Node," Google is designing hyperscale constellations equipped with Trillium TPUs and 1.6 Tbps optical links to move AI training off-planet. Why the "Orbital Node" is the future of our industry: • Resilience against Bit Rot: Cosmic rays can crash programs in an instant. Kubernetes handles this through automated rollbacks and "pod evictions." If a compute module gets too hot, the system can move heavy workloads to cooler parts of the satellite bus. • The Power of Edge AI: OroraTech already uses this tech to fight climate change. Instead of waiting hours to download hundreds if not thousands GiB of raw L0 data, on-orbit AI detects wildfires and sends a tiny JSON alert. Response times have dropped from 3 hours to under 3 minutes. • Hyperscale in Orbit: Google’s research shows that solar energy is 8x more productive in space. Project Suncatcher plans to use this to power distributed ML training, potentially solving the power and pollution crises facing terrestrial data centers. Kubernetes is the "Operating System" of spacecraft. Whether it is D-Orbit's edge nodes today or Google's upcoming orbital clusters in 2027, this is the biggest architectural shift since the move from mainframes to the cloud. Speed: 28,000 km/h. Agility: Updates in minutes, not years. Mission: Real-time protection and scaling for our planet. #Kubernetes #CloudNative #SpaceTech #Azure #AWS #ProjectSuncatcher #EdgeComputing #DevOps #GoogleCloud #DOrbit
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🚀 AI's biggest problem could get solved… by moving it to space. Earth is running out of power for the AI boom. Training massive models already guzzles more electricity than entire countries and it's only getting hungrier. Cooling those data centers? Billions of gallons of water. Land? Scarce. Build time? Years of red tape. But wait space changes everything. Constant sunlight 24/7 (no clouds, no night) → solar power 5x more efficient than on Earth. Vacuum of space → free passive cooling (no water, no noisy fans). Reusable rockets → launch GW-scale clusters in months, not decades. Result? AI supercomputers that are cheaper, greener, and planet-friendly—potentially 10–15x lower energy costs, zero water waste for cooling, and massive decarbonization potential. Just announced yesterday, Elon Musk merged SpaceX with xAI (creating a $1.25 trillion giant) specifically to build these orbital data centers. He says the lowest-cost AI compute could be in space within 2–3 years. Pioneers like Starcloud (who already launched NVIDIA GPUs to orbit and trained the first AI models up there) are proving it's not sci-fi it's happening now. This isn't just bigger AI. It's AI that doesn't wreck the planet while helping solve climate, health, and everything else. We're literally taking the heaviest lifting off Earth. 🌍→🪐 What blows your mind more: AI running sustainably in orbit? Or that we're finally using space to save the planet? Tag someone who geeks out on this 👇 https://lnkd.in/dA3R_YBE #AI #SpaceTech #SustainableAI #FutureOfCompute #ElonMusk #OrbitalDataCenters #Innovation
First AI Datacenters In Space! (EXCLUSIVE Starcloud Tour) 🛰️
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We’re proud to see Space Intelligence’s work being featured by Microsoft. In partnership with Microsoft Foundry and the Planetary Computer ecosystem, Space Intelligence has mapped 3+ billion hectares across 50+ countries in just over a year. Microsoft's systems enabled the team to speed up production from 6 months to 6 weeks while maintaining audit-grade accuracy. This audit-grade data enables NBS investors and developers to: - Identify viable nature-based solutions projects - Perform due diligence on operating projects - Monitor real-world impact These datasets also support initiatives like ICE CoT, helping the world’s coffee and chocolate supply chains become deforestation-free. It’s exciting to see how Space Intelligence’s high quality nature data, powered by Microsoft’s technology, can help unlock more investment to protect and restore forests at scale. Read the full story here: https://lnkd.in/etJc9rBp #CorporateVentureCapitals #investment #innovation
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Data Centers in space? Great article from The New York Times' Eli Tan and Ryan Mac. Industry leaders are increasingly concerned that the energy and land demands of future data centers may exceed what’s available on Earth. In November, Google announced it was exploring Project Suncatcher, an initiative focused on space-based data center concepts. Others who have publicly expressed interest in or support for the idea include Elon Musk; Jeff Bezos, founder of Amazon and Blue Origin; Sam Altman, CEO of OpenAI; and Jensen Huang, CEO of NVIDIA. Philip Johnston, Co-Founder and CEO of Starcloud, a space data center start-up backed by more than 20 organizations, including NVIDIA’s Inception Program, put it bluntly: “It is not a debate, it is going to happen. The question is when.” https://lnkd.in/eFUccKzA
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What if storms could be predicted earlier with higher confidence? #Tomorrow.io innovates on #weather forecasting by leveraging AI Infrastructure powered by #MicrosoftAzure and #NVIDIA, combining real‑time satellite observations with large‑scale compute to close global weather data gaps and improve storm prediction. From satellites to supercomputers, see how #AI is turning planetary‑scale weather data into actionable intelligence. 🎥 Watch now: https://msft.it/6046QKEeu #StormPrediction #WeatherIntelligence #AIatScale #ClimateInnovation #HPC
Why are weather forecasts so hard to get right? | Microsoft Azure and NVIDIA | Catalyst E4
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What if storms could be predicted earlier with higher confidence? #Tomorrow.io innovates on #weather forecasting by leveraging AI Infrastructure powered by #MicrosoftAzure and #NVIDIA, combining real‑time satellite observations with large‑scale compute to close global weather data gaps and improve storm prediction. From satellites to supercomputers, see how #AI is turning planetary‑scale weather data into actionable intelligence. 🎥 Watch now: https://msft.it/6040QzyUi #StormPrediction #WeatherIntelligence #AIatScale #ClimateInnovation #HPC
Why are weather forecasts so hard to get right? | Microsoft Azure and NVIDIA | Catalyst E4
https://www.youtube.com/
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What if storms could be predicted earlier with higher confidence? #Tomorrow.io innovates on #weather forecasting by leveraging AI Infrastructure powered by #MicrosoftAzure and #NVIDIA, combining real‑time satellite observations with large‑scale compute to close global weather data gaps and improve storm prediction. From satellites to supercomputers, see how #AI is turning planetary‑scale weather data into actionable intelligence. 🎥 Watch now: https://msft.it/6042QHil8 #StormPrediction #WeatherIntelligence #AIatScale #ClimateInnovation #HPC
Why are weather forecasts so hard to get right? | Microsoft Azure and NVIDIA | Catalyst E4
https://www.youtube.com/
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What if storms could be predicted earlier with higher confidence? #Tomorrow.io innovates on #weather forecasting by leveraging AI Infrastructure powered by #MicrosoftAzure and #NVIDIA, combining real‑time satellite observations with large‑scale compute to close global weather data gaps and improve storm prediction. From satellites to supercomputers, see how #AI is turning planetary‑scale weather data into actionable intelligence. 🎥 Watch now: https://msft.it/6040QHnGo #StormPrediction #WeatherIntelligence #AIatScale #ClimateInnovation #HPC
Why are weather forecasts so hard to get right? | Microsoft Azure and NVIDIA | Catalyst E4
https://www.youtube.com/
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What if storms could be predicted earlier with higher confidence? #Tomorrow.io innovates on #weather forecasting by leveraging AI Infrastructure powered by #MicrosoftAzure and #NVIDIA, combining real‑time satellite observations with large‑scale compute to close global weather data gaps and improve storm prediction. From satellites to supercomputers, see how #AI is turning planetary‑scale weather data into actionable intelligence. 🎥 Watch now: https://msft.it/6048QHCl2 #StormPrediction #WeatherIntelligence #AIatScale #ClimateInnovation #HPC
Why are weather forecasts so hard to get right? | Microsoft Azure and NVIDIA | Catalyst E4
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When space data, AI, and cloud align, planetary-scale intelligence becomes possible at speed! 👏 🚀