Author

Xuazhe Liu

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#machine learning Preprint Oct 2026

FastCI: Efficient GPU-Intensive CI for LLM Training Frameworks

As large language models (LLMs) keep growing in size and complexity, their training frameworks evolve at a rapid pace as well. Therefore, continuous integration (CI) is critical for maintaining the quality and stability of these frameworks. However, unlike traditional software, CI for LLM training frameworks relies on...

Tian-Shuo Qiao, Nai-Qian Zheng, Xiao-Peng Liu et al. · 0 citations

#edge computing Preprint Aug 2026

AI Infrastructure in Space: How Far Can We Go?

A systems vision for AI infrastructure in space is developed as the systems layer that manages AI capabilities across spacecraft, orbital networks, ground stations, and cloud backends, while treating orbital and physical state as part of the resource model.

Qing Li, Qi-Yang Zhang, Da-Liang Xu et al. · 0 citations