nvidia-curand
CURAND native runtime libraries
Install
nvidia-curand on PyPI
pip
pip install nvidia-curanduv
uv add nvidia-curandpoetry
poetry add nvidia-curandPackage facts
| License | not declared (unclear) |
| Python support | supports the current Python release (>=3) |
| Install friction | medium — platform-specific wheel |
| Runtime dependencies | none |
| Maintenance | actively maintained — 79 days since the last release |
| First released | |
| 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_curand-10.4.3.29-py3-none-manylinux_2_27_aarch64.whl; nvidia_curand-10.4.3.29-py3-none-manylinux_2_27_x86_64.whl; nvidia_curand-10.4.3.29-py3-none-win_amd64.whl
Keywords: cuda, nvidia, runtime, machine learning, deep learning
About nvidia-curand
from the package's own PyPI description — quoted content, verbatim
CURAND native runtime libraries
AI interpretation — verify before relying
AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page
Provides NVIDIA CURAND native runtime libraries for GPU-accelerated random number generation on CUDA-capable hardware.
Medium install friction due to platform-specific wheels (x86_64, aarch64 Linux, Windows only); active maintenance with a release 79 days ago signals ongoing support.
License status is unclear—no SPDX identifier or raw license text is available in the package metadata, making it difficult to assess compliance obligations before use.
Usage
pip install nvidia-curand==10.4.3.29
Requires NVIDIA CUDA Toolkit and a CUDA-capable GPU; only available for Linux (x86_64, aarch64) and Windows (amd64).
Verdict: A specialized runtime library for NVIDIA GPU random number generation, actively maintained and in the top 1000 PyPI packages. Medium install friction and platform constraints are expected for GPU libraries. The unclear license status warrants verification before production use.
Needs verification
- What is the actual license governing nvidia-curand (NVIDIA proprietary, BSD, or other)?
- Are there any known compatibility issues between this version and specific CUDA Toolkit versions?
- What is the actual API surface and usage pattern for this runtime library?
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