faiss-gpu-cu13-cuvs
Unofficial Python wheels for FAISS 1.15.0 with CUDA GPU and NVIDIA cuVS support.
This downstream package is built from the official FAISS source through the
Di-Is/faiss-gpu-wheels build scaffold. It is not an official FAISS release
artifact.
Project repository: https://github.com/Gabrieliam42/FAISS-GPU-CUDA-cuVS
Target
- Python 3.12
- Linux x86-64 / WSL2
- CUDA 13.0
- NVIDIA cuVS 26.6.0
- Native GPU code for
sm_75,sm_80,sm_86, andsm_90
Install
pip install --extra-index-url https://pypi.nvidia.com faiss-gpu-cu13-cuvs==1.15.0
The host requires an NVIDIA driver compatible with CUDA 13.0. The package dynamically loads CUDA and RAPIDS libraries supplied by Python distributions. Its CUDA components are pinned to the versions used by PyTorch 2.9.1 CUDA 13.0. FAISS does not link to cuDNN, so it can coexist with the cuDNN package required by the surrounding PyTorch stack.
CUDA 13.3 runtime components are not a declared target of this build; the package intentionally pins the CUDA 13.0 component versions used by PyTorch 2.9.1+cu130.
1 maintainer
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Details for the file faiss_gpu_cu13_cuvs-1.15.0-cp312-cp312-manylinux_2_39_x86_64.whl.
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- Upload date:
- Size: 81.2 MB
- Tags: CPython 3.12, manylinux: glibc 2.39+ x86-64
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
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Provenance
The following attestation bundles were made for faiss_gpu_cu13_cuvs-1.15.0-cp312-cp312-manylinux_2_39_x86_64.whl:
Publisher:
publish.yml on Gabrieliam42/FAISS-GPU-CUDA-cuVS
-
Statement:
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https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
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faiss_gpu_cu13_cuvs-1.15.0-cp312-cp312-manylinux_2_39_x86_64.whl -
Subject digest:
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Permalink:
Gabrieliam42/FAISS-GPU-CUDA-cuVS@49e631bba80c3478dc6c15afedcb539f986f8b07 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/Gabrieliam42
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public
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https://token.actions.githubusercontent.com -
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github-hosted -
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workflow_dispatch
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