AI RESEARCH
Lightweight Gaussian Process Inference in C++ on Metal and CUDA
arXiv CS.LG
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ArXi:2605.17898v1 Announce Type: new Gaussian process (GP) inference in Python is dominated by libraries such as GPyTorch and GPflow, which are built on deep-learning frameworks and inherit their dispatch overhead and dependency footprint. We present LightGP, a dependency-free C++17 library for GP regression with Python bindings, ing Apple Metal and NVIDIA CUDA backends alongside tuned CPU paths via Apple Accelerate and Open