According to @AdiOltean on Twitter, nanoGPT has become the first large language model (LLM) to be trained and used for inference entirely in space, leveraging an Nvidia H100 GPU aboard the Starcloud-1 satellite (source: https://x.com/AdiOltean/status/1998769997431058927). The Starcloud team successfully trained nanoGPT, based on Andrej Karpathy's architecture, on the complete works of Shakespeare and demonstrated inference capabilities on both nanoGPT and a preloaded Gemma model. This milestone highlights the potential to shift high-performance AI workloads off Earth, utilizing space-based resources and abundant solar energy. The success sets the stage for new business opportunities in AI-powered satellite computing, distributed cloud infrastructure, and green AI innovation (source: @karpathy).