nvidia-cublas-cu11
CUBLAS native runtime libraries
Decision gist · record as of 2026-08-14
No for new projects. This package is abandoned (last release 1396 days ago) and carries an unclear proprietary license. Newer CUDA runtime packages and updated frameworks have superseded it. Install only if you are maintaining legacy code explicitly pinned to CUDA 11 and cannot upgrade; otherwise, use current nvidia-cublas packages or let your framework (PyTorch, TensorFlow) manage CUDA runtime dependencies.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires CUDA 11 compatible GPU and appropriate NVIDIA drivers; only distributes for Linux (x86_64, aarch64) and Windows (x86_64).
- Medium install friction due to platform-specific wheel distributions (manylinux1/2014 x86_64, aarch64, Windows).
- Package is abandoned as of 1396 days since last release; no active maintenance or repository commits available.
License · maintenance · safety
NVIDIA Proprietary Software (unclear) — Licensed under NVIDIA Proprietary Software with unclear license treatment. Users should verify compliance with NVIDIA's terms before deploying in production or commercial contexts.
last release 2022-10-18 (1396 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,584,912 downloads/mo, #2,984 on PyPI
Alternatives
Verify before relying
pip install nvidia-cublas-cu11==11.11.3.6
import nvidia.cublas.cu11
# Use via downstream packages (e.g., PyTorch, TensorFlow) that depend on this runtime- Whether this package remains compatible with current NVIDIA driver versions and CUDA 11 ecosystem.
- Specific license restrictions on commercial or redistributed use under NVIDIA Proprietary Software terms.
- Whether downstream packages (PyTorch, TensorFlow) still accept or recommend this version for new projects.
What it is and what it does
nvidia-cublas-cu11 is a runtime library package that bundles NVIDIA's CUBLAS (CUDA Basic Linear Algebra Subroutines) native binaries for CUDA 11. It provides no Python API of its own; instead, it serves as a dependency for machine learning and scientific computing frameworks that need GPU-accelerated linear algebra operations. The package distributes precompiled binaries for Linux (x86_64 and ARM64) and Windows (x86_64), allowing downstream packages to locate and load the CUBLAS runtime at install time rather than requiring users to manually install CUDA.
The package is abandoned, with its last release over 1396 days ago and no active repository or maintenance. It carries an unclear proprietary license from NVIDIA. Users typically encounter this as a transitive dependency of PyTorch, TensorFlow, or similar frameworks rather than installing it directly. Because it is no longer maintained and CUDA tooling has evolved, new projects should evaluate whether to use this version or migrate to newer CUDA runtime packages.
Use it for
- Satisfy GPU linear algebra dependencies for PyTorch or TensorFlow installations targeting CUDA 11 environments.
- Enable GPU-accelerated matrix operations in scientific computing workflows on x86_64 or ARM64 Linux systems.
- Provide CUBLAS runtime binaries for Windows-based deep learning development without manual CUDA toolkit installation.
- Support legacy projects locked to CUDA 11 that require explicit CUBLAS runtime availability.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No for new projects.
This package is abandoned (last release 1396 days ago) and carries an unclear proprietary license. Newer CUDA runtime packages and updated frameworks have superseded it. Install only if you are maintaining legacy code explicitly pinned to CUDA 11 and cannot upgrade; otherwise, use current nvidia-cublas packages or let your framework (PyTorch, TensorFlow) manage CUDA runtime dependencies.
Install
nvidia-cublas-cu11 on PyPI
Before you install
Medium install friction due to platform-specific wheel distributions (manylinux1/2014 x86_64, aarch64, Windows). Package is abandoned as of 1396 days since last release; no active maintenance or repository commits available.
Requires CUDA 11 compatible GPU and appropriate NVIDIA drivers; only distributes for Linux (x86_64, aarch64) and Windows (x86_64).
License in practice
Licensed under NVIDIA Proprietary Software with unclear license treatment. Users should verify compliance with NVIDIA's terms before deploying in production or commercial contexts.
Quickstart
pip install nvidia-cublas-cu11==11.11.3.6
import nvidia.cublas.cu11
# Use via downstream packages (e.g., PyTorch, TensorFlow) that depend on this runtimeVerify before relying
- Whether this package remains compatible with current NVIDIA driver versions and CUDA 11 ecosystem.
- Specific license restrictions on commercial or redistributed use under NVIDIA Proprietary Software terms.
- Whether downstream packages (PyTorch, TensorFlow) still accept or recommend this version for new projects.
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 1,396 days since the last release |
| First released | |
| Downloads | 2,584,912 / month, #2,984 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_cublas_cu11-11.11.3.6-py3-none-manylinux1_x86_64.whl; nvidia_cublas_cu11-11.11.3.6-py3-none-manylinux2014_aarch64.whl; nvidia_cublas_cu11-11.11.3.6-py3-none-manylinux2014_x86_64.whl; nvidia_cublas_cu11-11.11.3.6-py3-none-win_amd64.whl
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See also nvidia-cublas · nvidia-cublas-cu12 · nvidia-curand-cu11 · nvidia-cusolver-cu11 · nvidia-cusparse-cu11 · nvidia-cuda-runtime-cu11 · nvidia-cuda-crt · nvidia-cufft-cu11 · nvidia-curand · nvidia-cusolver-cu12