Core Insights - The article discusses the successful training and operation of AI models in space, marking a significant milestone in the integration of artificial intelligence and space technology. Key players include Nvidia, SpaceX, Google, and Andrej Karpathy's NanoGPT [1][5][10]. Group 1: AI in Space - The first AI model, Gemma, was successfully trained and operated in space using Nvidia's H100 chip aboard the Starcloud-1 satellite launched by SpaceX [5][10]. - The AI model Gemma greeted Earth with a message, showcasing its capabilities to analyze and provide insights [7]. - Another model, NanoGPT, was trained using the complete works of Shakespeare on the H100 chip [3]. Group 2: Future Plans and Infrastructure - Starcloud aims to build a solar-powered orbital data center with a capacity of 5GW, which is expected to have significantly lower costs compared to terrestrial counterparts [8][10]. - The CEO of Starcloud, Philip Johnston, emphasized the potential of space to overcome energy limitations faced on Earth, allowing for larger AI models to be trained without the constraints of land and cooling [10]. - Starcloud plans to launch more Nvidia H100 chips and the Blackwell platform in a satellite mission scheduled for October 2026 [9]. Group 3: Global Developments in Space Computing - Chinese research institutions have been exploring space-based intelligent computing since 2019, focusing on key technological advancements [12][13]. - The "Three-Body Computing Constellation," consisting of 12 satellites, was launched by Guoxing Aerospace and Zhijiang Laboratory, achieving commercial operation in September [14]. - The "Tiansuan Plan" was announced by the Tiansuan team, aiming to establish a superintelligent cluster with a computing power of 10 EOPS in near-Earth orbit [15].
英伟达GPU被SpaceX送上太空,在天上训练卡帕西的NanoGPT