nvidia-cuda-crt
CUDA C Runtime
Decision gist · record as of 2026-08-14
Yes, if you need CUDA runtime support for GPU-accelerated Python applications and your platform matches the available wheels. The package is actively maintained with no known vulnerabilities. Install only if you have a specific dependency requirement from another package or a documented need for CUDA 13.3 runtime support; it is not typically installed standalone.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a platform matching one of the available wheels: Windows AMD64, Linux x86_64 (manylinux2014), or Linux aarch64 (manylinux2014).
- Medium install friction due to platform-specific wheels for Windows, Linux x86_64, and Linux aarch64.
- Package is actively maintained with recent release activity.
License · maintenance · safety
(unclear)
last release 2026-06-29 (46 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,075,871 downloads/mo, #3,314 on PyPI
Alternatives
Verify before relying
pip install nvidia-cuda-crt==13.3.73
# Typically imported indirectly as a dependency of other packages
# rather than used directly in application code.- Whether this package requires a separate NVIDIA CUDA Toolkit installation or provides complete runtime independently.
- Whether installation succeeds on systems without NVIDIA GPUs or CUDA drivers present.
- Compatibility with specific CUDA versions beyond what version 13.3.73 implies.
What it is and what it does
nvidia-cuda-crt packages the CUDA C Runtime libraries from NVIDIA for use in Python environments. It is a low-level runtime dependency typically installed as part of a larger GPU-accelerated software stack rather than used directly by application code. The package targets developers and researchers working with machine learning, deep learning, and scientific computing who need GPU acceleration.
The package supports Python 3.5 through 3.11 and is distributed as platform-specific wheels for Windows, Linux x86_64, and Linux aarch64. It has no Python runtime dependencies of its own, functioning as a pure library distribution. Installation requires selecting the correct wheel for your platform and architecture.
Use it for
- Providing CUDA runtime dependencies for deep learning frameworks in containerized or virtual environments.
- Setting up GPU-accelerated scientific computing environments where lower-level CUDA libraries are needed.
- Packaging GPU applications that depend on CUDA C runtime without requiring users to install NVIDIA CUDA Toolkit separately.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need CUDA runtime support for GPU-accelerated Python applications and your platform matches the available wheels.
The package is actively maintained with no known vulnerabilities. Install only if you have a specific dependency requirement from another package or a documented need for CUDA 13.3 runtime support; it is not typically installed standalone.
Install
nvidia-cuda-crt on PyPI
Before you install
Medium install friction due to platform-specific wheels for Windows, Linux x86_64, and Linux aarch64. Package is actively maintained with recent release activity.
Requires a platform matching one of the available wheels: Windows AMD64, Linux x86_64 (manylinux2014), or Linux aarch64 (manylinux2014).
Quickstart
pip install nvidia-cuda-crt==13.3.73
# Typically imported indirectly as a dependency of other packages
# rather than used directly in application code.Verify before relying
- Whether this package requires a separate NVIDIA CUDA Toolkit installation or provides complete runtime independently.
- Whether installation succeeds on systems without NVIDIA GPUs or CUDA drivers present.
- Compatibility with specific CUDA versions beyond what version 13.3.73 implies.
Package 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 46 days since the last release |
| First released | |
| Downloads | 2,075,871 / month, #3,314 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/ResearchNatural 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_cuda_crt-13.3.73-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; nvidia_cuda_crt-13.3.73-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; nvidia_cuda_crt-13.3.73-py3-none-win_amd64.whl
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See also nvidia-cuda-runtime-cu12 · nvidia-cuda-cccl · nvidia-cuda-runtime-cu11 · nvidia-cuda-runtime · nvidia-cuda-cccl-cu12 · nvidia-cublas-cu11 · pycuda · nvidia-cufile · nvidia-curand · hip-python