🤗 Kernels: Major Updates
We're on a journey to advance and democratize artificial intelligence through open source and open science. Back to Articles a]:hidden"> 🤗 Kernels: Major Updates Published July 6, 2026 Update on GitHub Upvote 1 Sayak Paul sayakpaul Follow Daniël de Kok danieldk Follow David Holtz drbh Follow In our previous post (From Zero to GPU) , we introduced the 🤗 Kernels project, which aims at standardizing how custom kernels are packaged, distributed, and consumed. We want the project to be frictionless and secure, while making it as Hub-friendly as possible.
Key Takeaways
- Over the past few months, we have worked towards this goal.
In the process, we also almost completely redesigned the project.
- Making these kernels first-class citizens of the Hub also benefits the AI ecosystem.
Users can now see trends across kernels, models, and the applications that use them.
- We further improve provenance by embedding the source Git SHA1 into the kernel itself.
In recent months, we have added additional layers of defense: trusted kernel publishers and code signing.
- They have to request to be a kernel publisher.
Users and organizations can request for access from their account settings.
- To further improve security, we use Sigstore's cosign to sign using ephemeral private keys.
Over the past few months, we have worked towards this goal. In the process, we also almost completely redesigned the project. This post will summarize the major updates we have shipped and what's coming.
Table of contents Kernels - a new repository type Improved security Revamped CLIs More coverage of frameworks and backends Foundation for agentic kernel development Misc Conclusion Kernels - a new repository type We have introduced a new repository type on the Hub called "kernel" . This enables us to cater to users with compute-related specificities. For example, a user can get a sense of which accelerators, operating systems, and backend versions are supported for a given kernel: One can browse all available kernels on the Hub here: https://huggingface.
Making these kernels first-class citizens of the Hub also benefits the AI ecosystem. Users can now see trends across kernels, models, and the applications that use them. The kernels become more discoverable to users.
For more details please read the original article at Hugging Face.
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