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Kernels Community

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The Kernel Hub allows Python libraries and applications to load optimized compute kernels directly from the Hugging Face Hub.

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You can think of it as the Model Hub, but for low-level, high-performance code (kernels) that accelerate specific operations, often on GPUs.

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Instead of manually managing complex dependencies, dealing with compilation flags, or building libraries like Triton or CUTLASS from source, the kernels library lets you fetch and run pre-compiled, optimized kernels on demand.

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---

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Repos

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The Kernel Hub team maintains two core repos:

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kernels

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The main repository containing:

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• A deterministic kernel builder
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• A Python library for loading and executing kernels
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Documentation:
https://huggingface.co/docs/kernels/

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kernels-community

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A repository that contains the source code for all of the kernels-community kernels

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Source code:
https://github.com/huggingface/kernels-community

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---

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Compliant Kernels

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Kernels published on the Hub are designed to be:

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• Portable — loadable from paths outside PYTHONPATH
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• Isolated — multiple kernel versions can run in the same process
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• Compatible — support different Python versions, PyTorch builds, and C++ ABIs
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---

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Learn more about the Kernel Hub and the kernels library by reading the docs:
https://huggingface.co/docs/kernels/index

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