---
title: Kernel Community
emoji: 🔥
colorFrom: gray
colorTo: green
sdk: static
pinned: false
---

# Kernel Community
The Kernel Hub allows Python libraries and applications to **load optimized compute kernels directly from the Hugging Face Hub**. Think of it like the Model Hub, but for low-level, high-performance code snippets (kernels) that accelerate specific operations, often on GPUs. 

Instead of manually managing complex dependencies, wrestling with compilation flags, or building libraries like Triton or CUTLASS from source, you can use the `kernels` library to instantly fetch and run pre-compiled, optimized kernels.

## Projects
The kernel hub team maintains two projects to make interacting with the kernel hub as easy as possible.
<div style="display: flex; flex-direction: column; gap: 20px; flex-wrap: wrap; margin-bottom: 20px;">
  <a href="https://github.com/huggingface/kernel-builder" style="flex: 1; min-width: 250px; text-decoration: none; color: inherit;">
    <div style="height: 160px; border: 1px solid #ddd; border-radius: 8px; padding: 8px; background-color: inherit; box-shadow: 0 4px 6px rgba(0,0,0,0.1); display: flex; flex-direction: row; align-items: center;">
      <img src="https://github.com/user-attachments/assets/4b5175f3-1d60-455b-8664-43b2495ee1c3" width="80" height="80" alt="kernel-builder logo" style="margin-right: 16px;">
      <div>
        <h3>kernel-builder</h3>
        <p>Creates compliant kernels that meet strict criteria for portability and compatibility.</p>
      </div>
    </div>
  </a>
  
  <a href="https://github.com/huggingface/kernels" style="flex: 1; min-width: 250px; text-decoration: none; color: inherit;">
    <div style="height: 160px; border: 1px solid #ddd; border-radius: 8px; padding: 8px; background-color: inherit; box-shadow: 0 4px 6px rgba(0,0,0,0.1); display: flex; flex-direction: row; align-items: center;">
      <img src="https://github.com/user-attachments/assets/64a652f3-0cd3-4829-b3c1-df13f7933569" width="80" height="80" alt="kernel logo" style="margin-right: 16px;">
      <div>
        <h3>kernels</h3>
        <p>Python library to load compute kernels directly from the Hub.
      </div>
    </div>
  </a>
</div>

## What are Compliant Kernels?

Kernels on the Hub are designed to be:
- **Portable**: Load from paths outside `PYTHONPATH`
- **Unique**: Multiple versions can run in the same process
- **Compatible**: Support various Python versions, PyTorch builds, and C++ ABIs