nvidia-cusolver
CUDA solver native runtime libraries
Install
nvidia-cusolver on PyPI
pip
pip install nvidia-cusolveruv
uv add nvidia-cusolverpoetry
poetry add nvidia-cusolverPackage facts
| License | not declared (unclear) |
| Python support | supports the current Python release (>=3) |
| Install friction | medium — platform-specific wheel |
| Runtime dependencies | 3 — nvidia-cublas, nvidia-nvjitlink, nvidia-cusparse |
| Maintenance | actively maintained — 45 days since the last release |
| First released | |
| Popularity | one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-13) |
Evidence: nvidia_cusolver-12.2.6.9-py3-none-manylinux_2_27_aarch64.whl; nvidia_cusolver-12.2.6.9-py3-none-manylinux_2_27_x86_64.whl; nvidia_cusolver-12.2.6.9-py3-none-win_amd64.whl
Keywords: cuda, nvidia, runtime, machine learning, deep learning
About nvidia-cusolver
from the package's own PyPI description — quoted content, verbatim
CUDA solver native runtime libraries
AI interpretation — verify before relying
AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page
Provides CUDA solver native runtime libraries for GPU-accelerated linear algebra operations, enabling high-performance matrix solving and decomposition on NVIDIA hardware.
Medium install friction due to platform-specific wheels (x86_64, aarch64 Linux, Windows) and three runtime dependencies on other NVIDIA CUDA libraries. Active maintenance with a release 45 days ago suggests ongoing support.
License treatment is unclear—no SPDX identifier or raw license text is provided in the package metadata, making it difficult to assess compliance implications before installation.
Usage
pip install nvidia-cusolver==12.2.6.9
import nvidia.cusolver
Requires NVIDIA CUDA Toolkit and compatible GPU hardware; installation is platform-specific (Linux x86_64/aarch64 or Windows only).
Verdict: A specialized CUDA runtime package for GPU-accelerated linear algebra, actively maintained and in the top 1000 PyPI packages with no known vulnerabilities. Medium install friction and unclear licensing require careful evaluation before production use; best suited for environments already committed to NVIDIA CUDA infrastructure.
Needs verification
- Whether the package's license is proprietary, open-source, or bundled with CUDA Toolkit terms—no license metadata is exposed.
- Whether the package requires pre-installation of NVIDIA CUDA Toolkit or if it bundles runtime libraries independently.
- Real-world compatibility matrix across supported Python versions (3.5–3.11) and CUDA versions.
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