CuMesh is a GPU-accelerated library for high-performance 3D geometry processing within the PyTorch ecosystem. It provides efficient CUDA implementations for mesh cleaning, decimation, remeshing, and UV unwrapping. The library centers around the CuMesh class which manages mesh data on GPU and exposes operations through PyTorch tensor interfaces. Key components include a QEM-based mesh simplification algorithm, narrow-band dual contouring remeshing, accelerated mesh clustering for UV unwrapping, and comprehensive mesh connectivity queries. The implementation demonstrates strong GPU programming practices with proper memory management, error checking, and efficient use of primitives like CUB for parallel operations.