Avkash Kumar

“𝙏𝙝𝙚𝙮 𝙡𝙖𝙪𝙜𝙝𝙚𝙙 𝙖𝙩 𝙩𝙝𝙚 𝙞𝙙𝙚𝙖 𝙤𝙛 𝙩𝙧𝙖𝙞𝙣𝙞𝙣𝙜 𝙇𝙇𝙈𝙨 𝙞𝙣 𝙨𝙥𝙖𝙘𝙚… 𝙪𝙣𝙩𝙞𝙡 𝙞𝙩 𝙝𝙖𝙥𝙥𝙚𝙣𝙚𝙙.” Yes — this time it’s real. For the 𝗳𝗶𝗿𝘀𝘁 𝘁𝗶𝗺𝗲 𝗲𝘃𝗲𝗿, an AI model has been trained in space aboard an orbiting satellite. NVIDIA-backed startup Starcloud’s Starcloud-1 satellite, equipped with an 𝗡𝗩𝗜𝗗𝗜𝗔 𝗛𝟭𝟬𝟬 𝗚𝗣𝗨, 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹𝗹𝘆 𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗮 𝗹𝗶𝗴𝗵𝘁𝘄𝗲𝗶𝗴𝗵𝘁 𝗺𝗼𝗱𝗲𝗹 (𝗻𝗮𝗻𝗼𝗚𝗣𝗧) and ran inference on a large language model in Earth orbit — marking a historic first for AI in space. 𝙒𝙝𝙮 𝙩𝙝𝙞𝙨 𝙢𝙖𝙩𝙩𝙚𝙧𝙨: ??? • It proves high-performance AI compute can operate beyond Earth — a leap toward orbital data centers. • It opens the door to using space-based solar energy to address Earth’s growing compute power needs. • And it’s a symbolic and technical milestone — showing what’s possible when tech meets audacious thinking. 𝙊𝙣𝙚 𝙤𝙛 𝙩𝙝𝙚 𝙗𝙞𝙜𝙜𝙚𝙨𝙩 𝙘𝙤𝙣𝙨𝙩𝙧𝙖𝙞𝙣𝙩𝙨 𝙛𝙤𝙧 𝘼𝙄 𝙞𝙨𝙣’𝙩 𝙘𝙤𝙢𝙥𝙪𝙩𝙚 — it’s electricity. Electricity demand from data centers — driven heavily by AI workloads — is set to more than double by 2030 as energy needs grow with AI adoption and infrastructure build-out. In a world where data center power demand is rising rapidly, experimenting with off-planet compute isn’t just sci-fi anymore — it’s forward-thinking. Today it’s a nano-model in orbit. Tomorrow? Who knows — maybe whole clusters orbiting the sun. 🌞 #AI #SpaceTech #LLM #Sustainability #FutureOfCompute #Innovation #nvidia #gpu dialflo #nanogpt

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