nvidia-curand-cu12
CURAND native runtime libraries
Install
nvidia-curand-cu12 on PyPI
pip
pip install nvidia-curand-cu12uv
uv add nvidia-curand-cu12poetry
poetry add nvidia-curand-cu12Package 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 — 469 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_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
Keywords: cuda, nvidia, runtime, machine learning, deep learning
About nvidia-curand-cu12
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 12 systems.
Medium install friction due to platform-specific wheels (x86_64, aarch64, Windows); no runtime dependencies. Package status is aging—469 days since last release—with no accessible repository or commit history to assess ongoing maintenance.
Licensed under NVIDIA Proprietary Software with unclear treatment; no SPDX identifier provided. Users should verify compliance with NVIDIA's terms before integrating into production systems.
Usage
pip install nvidia-curand-cu12==10.3.10.19
import nvidia.cuda.runtime.lib.libcurand
Requires CUDA 12 toolkit installed; only runs on Linux (x86_64/aarch64) or Windows amd64; Python >=3 required.
Verdict: A specialized GPU runtime library for CUDA 12 environments with no known vulnerabilities and top-1000 popularity, but aging maintenance (469 days), unclear proprietary licensing, and platform-specific installation friction. Suitable for projects already committed to NVIDIA CUDA infrastructure; verify license terms and CUDA 12 compatibility before adoption.
Needs verification
- Whether the package receives security updates despite no recent releases
- Exact scope and restrictions of NVIDIA Proprietary Software license for commercial use
- Whether Python 3.5–3.9 support claims (in classifiers) remain tested and functional
Similar packages
unclear · top 1,000 on PyPI
nvidia-curandunclear · top 1,000 on PyPI
nvidia-nvshmem-cu13unclear · top 1,000 on PyPI
nvidia-cuda-runtimeunclear · top 1,000 on PyPI
nvidia-cusparse-cu12unclear · top 1,000 on PyPI
nvidia-cufft-cu12unclear · top 1,000 on PyPI
nvidia-cuda-nvrtcunclear · top 1,000 on PyPI
nvidia-cublas-cu12unclear · top 1,000 on PyPI
nvidia-cudnn-cu12unclear · top 1,000 on PyPI
nvidia-cuda-cupti-cu12unclear · top 1,000 on PyPI