Apache TVM FFI defines a standardized foreign function interface for machine learning systems. It allows kernel libraries and domain-specific languages to be shipped once while supporting multiple ML frameworks and runtimes including PyTorch, JAX, and PaddlePaddle. The specification is framework-agnostic yet designed specifically to enable interoperability between compiler runtimes, kernel DSLs, and ML frameworks.