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Please see the [Build and Install Guide](https://docs.rapids.ai/api/cuvs/nightly/build/) for more information on installing the available cuVS packages and building from source.
in README to point to the corresponding docs in nvidia page
Pre-compiled NVIDIA cuVS packages are available for Linux on x86_64 and aarch64. Native Windows support is not available at this time. On Windows, use WSL2 with GPU passthrough. See the [RAPIDS WSL2 guide](https://rapids.ai/start.html#wsl2).
you are pointing to https://rapids.ai/start.html#wsl2 this page doesn't exist anymore, temporarily you can point to https://docs.rapids.ai/install/#wsl2 which will be redirected to a page in docs.nvidia in the near future. That being said, you might want to find instructions for WSL2 moving forward that are cuvs targeted. (cc @taureandyernv in case you have better guidance)
Replace any reference to libraries in the docs, like RAPIDS to NVIDIA
If there are links to docs, make sure to point them to nvidia docs page not rapids docs page.
I took this on in #2724 because some of the lingering rapidsai references were causing me an issue with devcontainer cache loads. It was simple enough to fix everything at once.
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bdice commentedon Oct 2, 2026
I took this on in #2724 because some of the lingering
rapidsaireferences were causing me an issue with devcontainer cache loads. It was simple enough to fix everything at once.Update rapidsai references to NVIDIA (#2724)