nvidia-curand-cu11
CURAND native runtime libraries
Decision gist · record as of 2026-08-14
No—install only if you are locked into CUDA 11 and have no path to upgrade. The package is abandoned (last release 2022-10-03), receives no maintenance or security updates, and its proprietary license terms are unclear. For new projects, use current CUDA versions with actively maintained runtime packages. For existing CUDA 11 deployments, verify compatibility before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires CUDA 11 toolkit installed on the system; only works on x86_64/ARM64 Linux or Windows; Python >=3 required.
- Medium install friction due to platform-specific wheel distribution (x86_64, ARM64, Windows variants).
- Package is abandoned—last release was 2022-10-03, with no maintenance, security updates, or compatibility fixes since then.
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 2022-10-03 (1411 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,538,038 downloads/mo, #3,793 on PyPI
Alternatives
Verify before relying
pip install nvidia-curand-cu11
import curand
# Use curand functions for GPU random number generation- Whether this package remains compatible with current CUDA 11 runtime versions given its abandoned status.
- Clarification on NVIDIA Proprietary Software license terms and redistribution/commercial use restrictions.
- Whether newer CUDA versions (12.x) are supported or if users must pin to CUDA 11.
What it is and what it does
This package distributes NVIDIA's CURAND native runtime libraries as Python wheels, allowing developers to access GPU-accelerated random number generation via CUDA 11. It is a binary distribution package—not a Python API wrapper—that installs compiled NVIDIA libraries for use by downstream CUDA-aware Python packages.
The package targets scientific computing, machine learning, and deep learning workflows where reproducible, high-performance random sampling on GPUs is needed. It supports Python 3.5 through 3.11 across Linux (x86_64 and ARM64) and Windows platforms, but has been abandoned since 2022-10-03 with no ongoing maintenance or updates.
Use it for
- Install as a dependency for CUDA libraries that require CURAND runtime on systems with CUDA 11.
- Enable GPU-accelerated random number generation in machine learning training pipelines that call CURAND directly.
- Provide CURAND binaries in containerized environments (Docker) where CUDA 11 is the base runtime.
- Support legacy deep learning projects pinned to CUDA 11 that cannot upgrade to newer CUDA versions.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—install only if you are locked into CUDA 11 and have no path to upgrade.
The package is abandoned (last release 2022-10-03), receives no maintenance or security updates, and its proprietary license terms are unclear. For new projects, use current CUDA versions with actively maintained runtime packages. For existing CUDA 11 deployments, verify compatibility before committing.
Install
nvidia-curand-cu11 on PyPI
Before you install
Medium install friction due to platform-specific wheel distribution (x86_64, ARM64, Windows variants). Package is abandoned—last release was 2022-10-03, with no maintenance, security updates, or compatibility fixes since then.
Requires CUDA 11 toolkit installed on the system; only works on x86_64/ARM64 Linux or Windows; Python >=3 required.
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-curand-cu11
import curand
# Use curand functions for GPU random number generationVerify before relying
- Whether this package remains compatible with current CUDA 11 runtime versions given its abandoned status.
- Clarification on NVIDIA Proprietary Software license terms and redistribution/commercial use restrictions.
- Whether newer CUDA versions (12.x) are supported or if users must pin to CUDA 11.
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 | 1,538,038 / month, #3,793 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_cu11-10.3.0.86-py3-none-manylinux1_x86_64.whl; nvidia_curand_cu11-10.3.0.86-py3-none-manylinux2014_aarch64.whl; nvidia_curand_cu11-10.3.0.86-py3-none-manylinux2014_x86_64.whl; nvidia_curand_cu11-10.3.0.86-py3-none-win_amd64.whl
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See also nvidia-curand · nvidia-curand-cu12 · nvidia-cublas-cu11 · nvidia-cuda-runtime-cu11 · nvidia-cuda-runtime-cu12 · nvidia-cudnn-cu11 · nvidia-cuda-nvrtc-cu11 · nvidia-cuda-nvrtc · amalgam-lang · akracer