nvidia-cublas-cu12

CUBLAS native runtime libraries

nvidia-cublas-cu12 License unclear LicenseRef-NVIDIA-Proprietary Active v12.9.2.10 released 2026-04-08

Install

nvidia-cublas-cu12 on PyPI

pip

pip install nvidia-cublas-cu12

uv

uv add nvidia-cublas-cu12

poetry

poetry add nvidia-cublas-cu12

Package facts

License	LicenseRef-NVIDIA-Proprietary (unclear)
Python support	supports the current Python release (>=3)
Install friction	medium — platform-specific wheel
Runtime dependencies	1 — nvidia-cuda-nvrtc-cu12
Maintenance	actively maintained — 127 days since the last release
First released	2022-11-16
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: nvidia_cublas_cu12-12.9.2.10-py3-none-manylinux_2_27_aarch64.whl; nvidia_cublas_cu12-12.9.2.10-py3-none-manylinux_2_27_x86_64.whl; nvidia_cublas_cu12-12.9.2.10-py3-none-win_amd64.whl

Keywords: cuda, nvidia, runtime, machine learning, deep learning

Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchNatural 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

About nvidia-cublas-cu12

from the package's own PyPI description — quoted content, verbatim

CUBLAS native runtime libraries

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Provides NVIDIA CUBLAS native runtime libraries for CUDA 12, enabling GPU-accelerated linear algebra operations in Python applications on supported platforms.

Medium install friction due to platform-specific wheel distributions (x86_64, aarch64, Windows); requires nvidia-cuda-nvrtc-cu12 at runtime. Package is actively maintained with a recent release cycle.

Licensed under LicenseRef-NVIDIA-Proprietary with unclear treatment; users should review NVIDIA's proprietary license terms before deployment, particularly in commercial or redistributed contexts.

Usage

pip install nvidia-cublas-cu12==12.9.2.10
import nvidia.cublas.cu12
# CUBLAS functions available through nvidia-cuda-nvrtc-cu12 dependency

Requires NVIDIA CUDA 12 compatible GPU and driver; only wheels available for Linux (x86_64, aarch64) and Windows (amd64).

Verdict: A specialized runtime library for GPU-accelerated linear algebra in the CUDA 12 ecosystem. Active maintenance and zero known vulnerabilities are positive signals, but the proprietary license status and platform-specific installation requirements demand careful evaluation before adoption. Best suited for teams already committed to NVIDIA GPU infrastructure.

Needs verification

Whether the proprietary license permits commercial use or redistribution without additional licensing agreements.
Compatibility matrix with specific NVIDIA driver versions and CUDA Compute Capability levels.
Performance characteristics or benchmarks compared to alternative CUBLAS distributions.

cuda cublas gpu linear algebranvidia cublas runtime librariesgpu accelerated matrix operationscuda 12 cublasnvidia gpu computedeep learning gpu accelerationcuda toolkit runtime