nvidia-curand-cu12
CURAND native runtime libraries
Decision gist · record as of 2026-08-14
Yes, if you are using CUDA 12 and need GPU-accelerated random number generation. This is a standard runtime dependency for ML and scientific computing on NVIDIA hardware. However, verify that your application actually requires it (it is typically pulled in transitively by higher-level libraries) and that you have an NVIDIA GPU and CUDA 12 toolkit available. The proprietary license and lack of recent updates are not blockers for typical use, but review licensing terms if you plan to redistribute.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an NVIDIA GPU and CUDA 12 toolkit installed on the system; wheels are platform-specific (Linux x86_64, Linux aarch64, or Windows).
- Medium install friction due to platform-specific wheels (Linux aarch64, Linux x86_64, Windows).
- Package is aging—last release was 470 days ago—but remains in the top 1000 PyPI packages by download volume, suggesting it is a stable dependency rather than actively developed.
License · maintenance · safety
NVIDIA Proprietary Software (unclear) — Licensed under NVIDIA Proprietary Software with unclear treatment. Users should review NVIDIA's licensing terms before deploying in production, particularly in commercial or redistributed contexts.
last release 2025-05-01 (470 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 25,971,643 downloads/mo, #897 on PyPI
Alternatives
Verify before relying
pip install nvidia-curand-cu12==10.3.10.19
import curand # Access CURAND functions via the installed runtime- Whether this package can be used standalone or requires additional NVIDIA CUDA toolkit components to function.
- Specific GPU models or compute capabilities required to use the CURAND runtime.
- Whether the proprietary license permits redistribution in containerized or packaged applications.
What it is and what it does
nvidia-curand-cu12 is a native runtime library package that bundles NVIDIA's CURAND library for CUDA 12. It provides GPU-accelerated random number generation, a core component for machine learning, scientific computing, and Monte Carlo simulations. The package ships as platform-specific wheels for Linux (both x86_64 and aarch64) and Windows, meaning installation automatically selects the correct binary for your system.
This is a runtime dependency rather than a development tool—it is typically installed as part of a larger CUDA ecosystem to support libraries like CuPy, PyTorch, or TensorFlow that need GPU-accelerated random number generation. The package has no Python-level runtime dependencies and is maintained by NVIDIA, though it has not been updated in 470 days. It is widely used (ranked 897 on PyPI by downloads) and carries no known security vulnerabilities.
Use it for
- Support GPU-accelerated random sampling in machine learning frameworks that depend on CURAND.
- Enable Monte Carlo simulations and statistical computations on NVIDIA GPUs.
- Provide random number generation for deep learning training pipelines requiring high-performance randomization.
- Satisfy runtime dependencies when deploying containerized ML applications that use CUDA 12.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are using CUDA 12 and need GPU-accelerated random number generation.
This is a standard runtime dependency for ML and scientific computing on NVIDIA hardware. However, verify that your application actually requires it (it is typically pulled in transitively by higher-level libraries) and that you have an NVIDIA GPU and CUDA 12 toolkit available. The proprietary license and lack of recent updates are not blockers for typical use, but review licensing terms if you plan to redistribute.
Install
nvidia-curand-cu12 on PyPI
Before you install
Medium install friction due to platform-specific wheels (Linux aarch64, Linux x86_64, Windows). Package is aging—last release was 470 days ago—but remains in the top 1000 PyPI packages by download volume, suggesting it is a stable dependency rather than actively developed.
Requires an NVIDIA GPU and CUDA 12 toolkit installed on the system; wheels are platform-specific (Linux x86_64, Linux aarch64, or Windows).
License in practice
Licensed under NVIDIA Proprietary Software with unclear treatment. Users should review NVIDIA's licensing terms before deploying in production, particularly in commercial or redistributed contexts.
Quickstart
pip install nvidia-curand-cu12==10.3.10.19
import curand # Access CURAND functions via the installed runtimeVerify before relying
- Whether this package can be used standalone or requires additional NVIDIA CUDA toolkit components to function.
- Specific GPU models or compute capabilities required to use the CURAND runtime.
- Whether the proprietary license permits redistribution in containerized or packaged applications.
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 | Aging 470 days since the last release |
| First released | |
| Downloads | 25,971,643 / month, #897 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_curand_cu12-10.3.10.19-py3-none-manylinux_2_27_aarch64.whl; nvidia_curand_cu12-10.3.10.19-py3-none-manylinux_2_27_x86_64.whl; nvidia_curand_cu12-10.3.10.19-py3-none-win_amd64.whl
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See also nvidia-curand-cu11 · nvidia-curand · nvidia-cuda-runtime-cu12 · nvidia-cusolver-cu12 · nvidia-cuda-runtime-cu11 · nvidia-cudnn-cu11 · nvidia-cusolver-cu11 · nvidia-cusparse-cu12 · nvidia-cudnn-cu12 · nvidia-cufft-cu12