nvidia-cuda-nvrtc
NVRTC native runtime libraries
Install
nvidia-cuda-nvrtc on PyPI
pip
pip install nvidia-cuda-nvrtcuv
uv add nvidia-cuda-nvrtcpoetry
poetry add nvidia-cuda-nvrtcPackage 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_cuda_nvrtc-13.3.33-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl; nvidia_cuda_nvrtc-13.3.33-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; nvidia_cuda_nvrtc-13.3.33-py3-none-win_amd64.whl
Keywords: cuda, nvidia, runtime, machine learning, deep learning
About nvidia-cuda-nvrtc
from the package's own PyPI description — quoted content, verbatim
NVRTC 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 CUDA NVRTC native runtime libraries for GPU-accelerated compilation and execution on Linux, Windows, and ARM64 platforms.
Medium install friction due to platform-specific wheel distributions (x86_64 Linux, ARM64 Linux, Windows). Package is actively maintained with a recent release (79 days old) and supports Python 3.5–3.11, though the wide version range and Beta development status suggest ongoing refinement.
License treatment is unclear—no SPDX identifier or raw license text is provided in the package metadata. Users should verify licensing terms directly with NVIDIA before adopting this package in proprietary or restricted-distribution contexts.
Usage
pip install nvidia-cuda-nvrtc==13.3.33
import nvidia.cuda.nvrtc
Requires a compatible CUDA-capable GPU and matching NVIDIA driver; installation is platform-specific (Linux x86_64, Linux ARM64, or Windows x86_64 only).
Verdict: A specialized, actively maintained NVIDIA runtime library for GPU-accelerated workloads with no known vulnerabilities. Medium install friction and unclear licensing are the main considerations; adoption is appropriate for machine learning and scientific computing projects where CUDA support is essential, provided licensing terms are confirmed.
Needs verification
- Whether the unclear license treatment reflects a proprietary NVIDIA license or a documentation gap in the package metadata.
- Compatibility matrix between specific CUDA driver versions and this nvrtc 13.3.33 release.
- Whether the wide Python version support (3.5–3.11) is actively tested or legacy classifier cruft.
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