🤗 Kernels: Major Updates
Blog post from Hugging Face
The 🤗 Kernels project has been significantly updated, introducing a new repository type on the Hub called "kernel" to standardize how custom kernels are packaged and distributed, enhancing their discoverability and integration within the AI ecosystem. Security is a major focus, with measures such as trusted kernel publishers, code signing using Sigstore's cosign, and embedding source Git SHA1 for better provenance. A clearer separation between the kernels and kernel-builder CLIs has been established to streamline kernel development processes. The project now supports more frameworks and backends, including the Torch Stable ABI and Apache TVM FFI, to improve compatibility across different platforms. Additionally, the project lays a foundation for agentic kernel development, allowing agents to scaffold, build, benchmark, and optimize kernels efficiently. Efforts are also made to simplify environment setup and ensure compatibility through tools like system cards and compatibility checks, while addressing issues like dynamic linking of libstdc++ to prevent data corruption. Overall, the Kernels project aims to provide a robust framework for kernel developers and users, with ongoing community feedback and contributions encouraged to drive future improvements.
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