Core Insights - Starcloud, a startup backed by Nvidia, has successfully trained AI models from space, utilizing the Nvidia H-100 GPU, which offers 100 times the computational power of previous chips launched into orbit [1][2]. Group 1: Company Developments - Starcloud has trained Google's open LLM Gemma from its Starcloud-1 satellite [2]. - The company also trained an LLM called NanoGPT, developed by former Tesla AI lead Andrej Karpathy, using Shakespeare's works [3]. - Starcloud aims to build large, scalable, and cost-competitive data centers in space, with plans for a 2.4-mile-tall and 2.4-mile-wide orbital data center that will utilize solar and cooling panels [4]. Group 2: Industry Context - Starcloud's CEO, Philip Johnston, described the achievement as a significant step towards relocating computing resources to space, reducing the strain on Earth's resources [5]. - Elon Musk has reiterated his vision for solar-powered AI satellites, targeting a production goal of 1 Megaton per year, which would provide 100GW of AI capacity in space [6]. - Musk also mentioned plans for factories on the lunar surface to support AI satellite launches into deep space [6]. Group 3: Market Reactions - Nvidia's stock experienced a decline of 1.92% during after-hours trading, closing at $180.25 [9].