faiss-gpu-cu12-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 12.9 Update 1
- 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-cu12-cuvs==1.15.0
The host requires an NVIDIA driver compatible with CUDA 12.9. 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 12.9. FAISS does not link to cuDNN, so it can coexist with the cuDNN package required by the surrounding PyTorch stack.
The exact PyTorch 2.9.1+cu129 stack requires CUDA 12.9 Update 1 components.
The cuda-toolkit==12.9.0 meta-package is not compatible with that stack's
exact cuBLAS 12.9.1.4 requirement.
The validation stack does not include xformers. The official PyTorch cu129 index has no xformers 0.0.33.post2 wheel, and its stable 0.0.32.post2 wheel requires Torch 2.8.0 rather than the required Torch 2.9.1.
1 maintainer
Metadata
1 maintainer
Release files for faiss-gpu-cu12-cuvs 1.15.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| faiss_gpu_cu12_cuvs-1.15.0-cp312-cp312-manylinux_2_39_x86_64.whl | CPython 3.12 | CPython 3.12 | Linux glibc 2.39+ x86-64 | Details |
Release files / faiss_gpu_cu12_cuvs-1.15.0-cp312-cp312-manylinux_2_39_x86_64.whl
| Download URL | faiss_gpu_cu12_cuvs-1.15.0-cp312-cp312-manylinux_2_39_x86_64.whl |
|---|---|
| Size | 91.6 MB |
| Tags | CPython 3.12 Linux glibc 2.39+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.11
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