This site exists to make one specific corner of the machine-learning toolchain easier to navigate: getting XNNPACK's source, understanding what it does, and building it correctly the first time. We are not the XNNPACK project itself, and we are not affiliated with the maintainers of the official repository — we're a separate, independent resource.
Why this site exists
XNNPACK is widely used but rarely searched for directly, since most people meet it indirectly through a framework like TensorFlow Lite. When developers do go looking for it on its own — to build it standalone, debug a linker error, or understand why a mobile app suddenly got faster — official documentation can be terse. This site fills that gap with plain-language setup guides, a compatibility overview, and troubleshooting notes gathered from common build issues.
What we do
- Maintain a clear, up-to-date download path pointing to the official XNNPACK source
- Publish setup guides for the platforms developers most often build on
- Document compatibility across CPU architectures and instruction sets
- Collect and explain the build errors that come up most often
What we don't do
We don't repackage or redistribute modified copies of the source, we don't claim authorship of XNNPACK, and we don't add anything to the official archive before linking to it. Every download link on this site routes to the official source.
Questions or corrections
If you spot something inaccurate or outdated in one of our guides, we'd like to know. Visit our Contact page to get in touch.