Hugging Face Kernel Builder enables production-ready CUDA kernels for PyTorch

AI Impact Summary

Provides an end-to-end workflow to develop, bind, and distribute custom CUDA kernels via the Hugging Face Kernel Builder, including multi-arch builds and reproducible environments. It shows binding kernels as native PyTorch operators (TORCH_LIBRARY) so they can fuse with graphs and dispatched automatically by PyTorch. This enables production deployment of custom GPU kernels through a hub, reducing deployment friction but increasing CI surface area to validate CUDA versions, backends, and platform compatibility.