{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/5"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/4"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/3"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"Provides NVIDIA CUFFT native runtime libraries for CUDA 11, enabling GPU-accelerated Fast Fourier Transform computations on compatible systems.","skillfed_tags":["gpu-compute","cuda","abandoned"],"use_cases":["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."],"what_it_does":"nvidia-cufft-cu11 is a binary distribution of NVIDIA's CUFFT library\u2014a GPU-accelerated Fast Fourier Transform runtime\u2014packaged 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.\n\nThe 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.","worth_installing":"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."},"id":"nvidia-cufft-cu11","links":{"html":"https://skillfed.io/packages/nvidia-cufft-cu11","md":"https://skillfed.io/packages/nvidia-cufft-cu11.md","pypi":"https://pypi.org/project/nvidia-cufft-cu11/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2022-10-03","license_spdx":null,"license_treatment":"unclear","name":"nvidia-cufft-cu11","python_support":"supports_current","summary":"CUFFT native runtime libraries"},"popularity":{"monthly_downloads":1543262,"position":3783,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"10.9.0.58"}