---
id: nvidia-cufft-cu11
version: "10.9.0.58"
license: NVIDIA Proprietary Software
license_treatment: unclear
maintenance: abandoned
---

# nvidia-cufft-cu11 — CUFFT native runtime libraries

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

## What it is and what it does

nvidia-cufft-cu11 is a binary distribution of NVIDIA's CUFFT library—a GPU-accelerated Fast Fourier Transform runtime—packaged for Python environments targeting CUDA 11. It provides no Python API of its own; instead, it supplies the native libraries that higher-level packages depend on to perform FFT operations on NVIDIA GPUs. The package is platform-specific, with separate wheels for Linux (x86_64 and aarch64) and Windows.

The package has been abandoned with no active repository or maintenance. It carries an unclear proprietary license from NVIDIA and no documented security or bug-fix support. Users installing this package are typically doing so as a transitive dependency of a machine learning or scientific computing library, rather than directly. For new projects, checking whether a newer CUDA version or alternative distribution channel is available is advisable.

Use it for:

- Satisfy CUFFT runtime dependencies for GPU-accelerated libraries that require CUDA 11.
- Enable GPU-accelerated FFT computations in signal processing or scientific computing workflows on NVIDIA hardware.
- Support legacy machine learning pipelines built against CUDA 11 that cannot migrate to newer CUDA versions.
- Provide native FFT libraries for containerized or isolated Python environments targeting NVIDIA GPUs.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides NVIDIA CUFFT native runtime libraries for CUDA 11, enabling GPU-accelerated Fast Fourier Transform computations on compatible systems.

Yes, but with caution. Install only if required as a transitive dependency of an active package, or if you are locked to CUDA 11 and cannot upgrade. The package is abandoned and carries an unclear proprietary license; verify NVIDIA's current licensing terms and consider whether a newer CUDA version is available for your use case. No known vulnerabilities, but no active maintenance either.

## Install

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

## Installing nvidia-cufft-cu11

Before you install: Medium install friction due to platform-specific wheels for x86_64 and aarch64 Linux, Windows, and legacy manylinux1. Package is abandoned with no active maintenance or repository activity visible.

License in practice: Licensed under NVIDIA Proprietary Software with unclear treatment. Users should verify licensing terms directly with NVIDIA before deployment, particularly in commercial or redistributed contexts.

Quickstart:

pip install nvidia-cufft-cu11==10.9.0.58

import nvidia.cufft
# Use CUFFT runtime for FFT operations via CUDA-enabled libraries

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

Verify before relying:

- Whether this package is still compatible with current CUDA 11.x minor versions and modern GPU architectures.
- Whether NVIDIA Proprietary Software license permits use in open-source or commercial projects without additional agreements.
- Whether abandonment means security updates or bug fixes are no longer available.
- Whether newer CUDA versions have superseded this package with different naming or distribution.

## 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 fft gpu acceleration, nvidia cufft runtime libraries, gpu fourier transform, cuda 11 fft, nvidia gpu math libraries, cufft cuda compute, gpu signal processing, gpu-compute, cuda, abandoned

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