nvidia-cufft-cu11
CUFFT native runtime libraries
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires NVIDIA CUDA 11 toolkit and compatible GPU; only available for Linux (x86_64, aarch64) and Windows (x86_64).
- 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 · maintenance · safety
NVIDIA Proprietary Software (unclear) — Licensed under NVIDIA Proprietary Software with unclear treatment. Users should verify licensing terms directly with NVIDIA before deployment, particularly in commercial or redistributed contexts.
last release 2022-10-03 (1411 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,543,262 downloads/mo, #3,783 on PyPI
Alternatives
Verify before relying
pip install nvidia-cufft-cu11==10.9.0.58
import nvidia.cufft
# Use CUFFT runtime for FFT operations via CUDA-enabled libraries- 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- Whether newer CUDA versions have superseded this package with different naming or distribution.
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 on this page. Verify before relying on it.
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
nvidia-cufft-cu11 on PyPI
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.
Requires NVIDIA CUDA 11 toolkit and compatible GPU; only available for Linux (x86_64, aarch64) and Windows (x86_64).
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 librariesVerify 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 the current Python release >=3 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,411 days since the last release |
| First released | |
| Downloads | 1,543,262 / month, #3,783 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_cufft_cu11-10.9.0.58-py3-none-manylinux1_x86_64.whl; nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux2014_aarch64.whl; nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux2014_x86_64.whl; nvidia_cufft_cu11-10.9.0.58-py3-none-win_amd64.whl
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See also nvidia-cufft-cu12 · nvidia-cufft · nvidia-cuda-runtime-cu11 · nvidia-cublas-cu11 · nvidia-cusolver-cu11 · nvidia-mathdx · nvidia-cuda-runtime-cu12 · nvidia-cuda-cupti-cu11 · julius · hankel