TokenSpeed-Kernel Ships a Registry That Decouples LLM Kernels From Hardware — Finally

PyTorch's TokenSpeed-kernel introduces a layered API and registry system that separates high-level LLM inference runtime from backend silicon kernels. CUDA, ROCm, and other backends plug in without runtime changes. This is the missing abstraction layer that makes multi-silicon deployment tractable without maintaining parallel codebases.