nvidia-cusolver-cu11
CUDA solver native runtime libraries
Decision gist · record as of 2026-08-14
No, unless you are maintaining a legacy project explicitly pinned to CUDA 11. The package is abandoned with no recent updates. For new projects, prefer a current CUDA version and let a higher-level framework manage solver dependencies. If you must use CUDA 11, verify that your framework does not already bundle compatible versions before installing directly.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires NVIDIA CUDA 11 toolkit and compatible GPU hardware; only available for Linux (x86_64, aarch64) and Windows (x86_64).
- Medium install friction due to platform-specific wheels across multiple architectures.
- Package is abandoned with no updates since its latest release on 2022-10-03.
License · maintenance · safety
NVIDIA Proprietary Software (unclear) — Licensed under NVIDIA Proprietary Software with unclear treatment—no standard SPDX identifier. Review NVIDIA's terms before use in production or commercial contexts.
last release 2022-10-03 (1411 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,539,449 downloads/mo, #3,789 on PyPI
Alternatives
Verify before relying
pip install nvidia-cusolver-cu11
import nvidia.cusolver
# Use via higher-level libraries like CuPy or PyTorch that depend on it- Whether this package is still maintained or if a newer CUDA version should be preferred instead.
- Exact terms of the NVIDIA Proprietary Software license and any restrictions on redistribution or commercial use.
- Whether direct installation is necessary or if a higher-level framework already bundles compatible versions.
What it is and what it does
nvidia-cusolver-cu11 is a native runtime library package that exposes NVIDIA's CUDA solver routines for GPU-accelerated linear algebra. It is typically not used directly by end users but rather as a dependency of higher-level numerical and machine-learning libraries that need GPU-backed matrix operations, eigenvalue solvers, and related computations.
The package provides precompiled binaries for Linux and Windows on x86_64 and aarch64 architectures, with a runtime dependency on nvidia-cublas-cu11. It targets Python 3.5 through 3.11 and requires CUDA 11 hardware and toolkit. However, the package has been abandoned with no recent updates or active maintenance, making it a legacy component in the CUDA ecosystem.
Use it for
- Dependency resolution for higher-level frameworks that require CUDA 11 solver routines on GPU systems.
- Building custom GPU-accelerated numerical applications that call CUDA solver functions via lower-level bindings.
- Maintaining legacy projects pinned to CUDA 11 that cannot migrate to newer CUDA versions.
- Development on aarch64 Linux systems that need GPU-accelerated linear algebra.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, unless you are maintaining a legacy project explicitly pinned to CUDA 11.
The package is abandoned with no recent updates. For new projects, prefer a current CUDA version and let a higher-level framework manage solver dependencies. If you must use CUDA 11, verify that your framework does not already bundle compatible versions before installing directly.
Install
nvidia-cusolver-cu11 on PyPI
Before you install
Medium install friction due to platform-specific wheels across multiple architectures. Package is abandoned with no updates since its latest release on 2022-10-03.
Requires NVIDIA CUDA 11 toolkit and compatible GPU hardware; only available for Linux (x86_64, aarch64) and Windows (x86_64).
License in practice
Licensed under NVIDIA Proprietary Software with unclear treatment—no standard SPDX identifier. Review NVIDIA's terms before use in production or commercial contexts.
Quickstart
pip install nvidia-cusolver-cu11
import nvidia.cusolver
# Use via higher-level libraries like CuPy or PyTorch that depend on itVerify before relying
- Whether this package is still maintained or if a newer CUDA version should be preferred instead.
- Exact terms of the NVIDIA Proprietary Software license and any restrictions on redistribution or commercial use.
- Whether direct installation is necessary or if a higher-level framework already bundles compatible versions.
Package facts
| License | NVIDIA Proprietary Software unclear |
| Python support | Supports the current Python release >=3 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packagenvidia-cublas-cu11 |
| Maintenance | Abandoned 1,411 days since the last release |
| First released | |
| Downloads | 1,539,449 / month, #3,789 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: Other/Proprietary LicenseNatural Language :: EnglishOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: MathematicsTopic :: Software DevelopmentTopic :: Software Development :: Libraries |
Evidence: nvidia_cusolver_cu11-11.4.1.48-py3-none-manylinux1_x86_64.whl; nvidia_cusolver_cu11-11.4.1.48-py3-none-manylinux2014_aarch64.whl; nvidia_cusolver_cu11-11.4.1.48-py3-none-manylinux2014_x86_64.whl; nvidia_cusolver_cu11-11.4.1.48-py3-none-win_amd64.whl
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See also nvidia-cusolver · nvidia-cusolver-cu12 · nvidia-mathdx · nvidia-cublas-cu11 · nvidia-cusparse-cu11 · nvidia-libnvcomp-cu12 · nvidia-cublas-cu12 · nvidia-cufft-cu11 · nvidia-cudnn-cu11 · nvidia-cusparse-cu12