---
id: nvidia-cusolver-cu11
version: "11.4.1.48"
license: NVIDIA Proprietary Software
license_treatment: unclear
maintenance: abandoned
---

# nvidia-cusolver-cu11 — CUDA solver native runtime libraries

License: unclear · Maintenance: abandoned · Downloads: 1.5M/mo

## 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 above — verify before relying.

Provides NVIDIA CUDA solver native runtime libraries for GPU-accelerated linear algebra and matrix operations on CUDA 11 hardware.

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

pip install nvidia-cusolver-cu11
uv add nvidia-cusolver-cu11
poetry add nvidia-cusolver-cu11

## Installing nvidia-cusolver-cu11

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.

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 it

Requires NVIDIA CUDA 11 toolkit and compatible GPU hardware; only available for Linux (x86_64, aarch64) and Windows (x86_64).

Verify 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_current
- Install friction: medium
- Maintenance: abandoned
- Downloads: 1.5M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

cuda solver gpu libraries, nvidia cusolver runtime, gpu linear algebra, cuda matrix operations, nvidia gpu compute, cuda numerical solver, gpu accelerated math, gpu-compute, cuda-runtime, abandoned

[View on SkillFed](https://skillfed.io/packages/nvidia-cusolver-cu11) · [View on PyPI](https://pypi.org/project/nvidia-cusolver-cu11/)