nvidia-cuda-runtime
CUDA Runtime native Libraries
Install
nvidia-cuda-runtime on PyPI
pip
pip install nvidia-cuda-runtimeuv
uv add nvidia-cuda-runtimepoetry
poetry add nvidia-cuda-runtimePackage 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_runtime-13.3.29-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; nvidia_cuda_runtime-13.3.29-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; nvidia_cuda_runtime-13.3.29-py3-none-win_amd64.whl
Keywords: cuda, nvidia, runtime, machine learning, deep learning
About nvidia-cuda-runtime
from the package's own PyPI description — quoted content, verbatim
CUDA Runtime native 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 CUDA Runtime native libraries for GPU-accelerated computing on NVIDIA hardware, enabling Python applications to leverage CUDA capabilities on Linux, Windows, and ARM64 systems.
Medium install friction due to platform-specific wheel distributions (x86_64, ARM64, Windows); actively maintained with a recent release 79 days ago. No runtime dependencies simplifies downstream integration.
License status is unclear—no SPDX identifier or raw license text is declared in package metadata, making it difficult to assess compliance obligations or redistribution rights before use.
Usage
pip install nvidia-cuda-runtime==13.3.29
import nvidia.cuda_runtime
Requires NVIDIA CUDA Compute Capability–compatible GPU hardware and matching OS/architecture (x86_64, ARM64, or Windows); installation will fail on unsupported platforms.
Verdict: A foundational GPU runtime package in the top 1000 PyPI packages with no known vulnerabilities and zero runtime dependencies, but hampered by unclear licensing and medium install friction due to platform-specific wheels. Suitable for projects that explicitly require CUDA runtime binaries, provided licensing can be clarified with NVIDIA.
Needs verification
- What is the actual license governing nvidia-cuda-runtime (EULA, BSD, proprietary, or other)?
- Does this package require a separate NVIDIA CUDA Toolkit installation, or are binaries self-contained?
- Are there known compatibility issues between CUDA 13.3.29 and specific GPU architectures or driver versions?
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