Nvidia(US:NVDA) 量子位·2025-12-11 06:54Core Viewpoint - The article discusses the groundbreaking achievement of training and running AI models in space, highlighting the collaboration between companies like Nvidia, SpaceX, and Google, as well as the involvement of former OpenAI co-founder Andrej Karpathy's NanoGPT [2][3][4]. Group 1: Space AI Training - The first AI model training in space was successfully conducted using Nvidia's H100 chip aboard the Starcloud-1 satellite, launched by SpaceX [6][7]. - The AI model Gemma, a large open-source model from Google, was run in space, greeting Earth with a message [9]. - NanoGPT, developed by Andrej Karpathy, was also trained directly in space, marking a significant milestone in AI development [9]. Group 2: Future Plans and Infrastructure - Starcloud aims to build a solar-powered 5GW orbital data center, which is expected to have lower construction and operational costs compared to terrestrial counterparts [10]. - The company plans to launch more Nvidia H100 chips and the Blackwell platform in a satellite mission scheduled for October 2026 [11]. - Starcloud's CEO emphasized the potential of space to overcome energy limitations faced on Earth, suggesting that AI operations can be more efficient in a low Earth orbit environment [12]. Group 3: Global Developments in Space Computing - Chinese research institutions have been exploring space-based intelligent computing since 2019, focusing on key technological advancements [17]. - The China National Space Administration has successfully launched the world's first space computing constellation, achieving regular commercial operations [18]. - The TianSuan Plan aims to establish a superintelligent cluster in near-Earth orbit with a computing power of 10 EOPS, addressing challenges related to radiation and heat dissipation [19].