nvidia-cusolver-cu12
CUDA solver native runtime libraries
Install
nvidia-cusolver-cu12 on PyPI
pip
pip install nvidia-cusolver-cu12uv
uv add nvidia-cusolver-cu12poetry
poetry add nvidia-cusolver-cu12Package facts
| License | LicenseRef-NVIDIA-Proprietary (unclear) |
| Python support | supports the current Python release (>=3) |
| Install friction | medium — platform-specific wheel |
| Runtime dependencies | 3 — nvidia-cublas-cu12, nvidia-nvjitlink-cu12, nvidia-cusparse-cu12 |
| Maintenance | aging — 434 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_cu12-11.7.5.82-py3-none-manylinux_2_27_aarch64.whl; nvidia_cusolver_cu12-11.7.5.82-py3-none-manylinux_2_27_x86_64.whl; nvidia_cusolver_cu12-11.7.5.82-py3-none-win_amd64.whl
Keywords: cuda, nvidia, runtime, machine learning, deep learning
About nvidia-cusolver-cu12
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 NVIDIA CUDA solver native runtime libraries (cuSOLVER) for GPU-accelerated linear algebra and matrix operations on CUDA 12 platforms.
Medium install friction due to platform-specific wheel distributions (x86_64, aarch64 Linux, Windows) and three runtime dependencies on other NVIDIA CUDA libraries. The package is aging—434 days since release—with no recent repository activity visible, though it remains in the top 1000 PyPI packages.
Licensed under LicenseRef-NVIDIA-Proprietary with unclear license treatment. This is a proprietary NVIDIA runtime library; users should verify compliance with NVIDIA's CUDA Toolkit licensing terms before deployment.
Usage
pip install nvidia-cusolver-cu12==11.7.5.82
import nvidia.cusolver_cu12
Requires NVIDIA CUDA 12 compatible GPU and CUDA Compute Capability support; installation is platform-specific (Linux x86_64/aarch64 or Windows x86_64 only).
Verdict: A foundational NVIDIA CUDA runtime library for GPU-accelerated linear algebra, suitable for machine learning and scientific computing workflows. Medium install friction and aging maintenance status are typical for low-level CUDA runtime packages. The proprietary license requires explicit compliance review. No known vulnerabilities, and broad Python version support (3.5+) make it stable for CUDA 12 environments.
Needs verification
- Whether the 434-day age reflects normal NVIDIA release cadence for runtime libraries or indicates stalled maintenance
- Specific terms and restrictions of the LicenseRef-NVIDIA-Proprietary license for commercial use
- Whether all three runtime dependencies (cublas, nvjitlink, cusparse) are mandatory or conditionally loaded
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