nvidia-cuda-nvrtc-cu12
NVRTC native runtime libraries
Decision gist · record as of 2026-08-14
Yes, if you are building or running CUDA-accelerated Python applications that require runtime kernel compilation. This is typically a transitive dependency rather than a direct install. The aging maintenance status (435 days since last release) is normal for a stable native library distribution. Proprietary licensing requires review of NVIDIA's terms. No known security vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires NVIDIA GPU hardware and compatible NVIDIA driver; platform-specific wheels limit installation to x86_64 Linux, aarch64 Linux, or Windows x64.
- Medium install friction due to platform-specific wheel distributions (x86_64 Linux, aarch64 Linux, Windows).
- Package is aging—last release was 435 days ago—but remains actively maintained within NVIDIA's CUDA ecosystem.
License · maintenance · safety
LicenseRef-NVIDIA-Proprietary (unclear) — Licensed under LicenseRef-NVIDIA-Proprietary with unclear treatment. Proprietary license terms apply; review NVIDIA's licensing documentation before use in commercial or redistributed contexts.
last release 2025-06-05 (435 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 27,268,429 downloads/mo, #863 on PyPI
Alternatives
Verify before relying
pip install nvidia-cuda-nvrtc-cu12==12.9.86
import nvidia.cuda.nvrtc
# Access NVRTC runtime compilation capabilities- Whether this package requires a separate CUDA Toolkit installation or system-level NVIDIA driver to function
- Compatibility constraints with specific NVIDIA driver versions
- Whether runtime compilation features are available on all supported platforms
What it is and what it does
This package distributes NVIDIA's NVRTC (NVIDIA Runtime Compilation) native libraries, which enable just-in-time compilation of CUDA kernels at runtime. It is a low-level runtime dependency typically pulled in by higher-level CUDA frameworks rather than used directly; it provides the compiled binary artifacts needed for runtime kernel compilation on supported platforms.
The package targets developers working with CUDA compute, machine learning frameworks, and scientific computing libraries that require dynamic kernel compilation. It has no Python-level runtime dependencies and is primarily a binary distribution mechanism. Installation requires matching your platform (x86_64 Linux, aarch64 Linux, or Windows) to the available wheels.
Use it for
- Enable runtime CUDA kernel compilation in machine learning frameworks like CuPy or Numba
- Support dynamic GPU code generation in scientific computing pipelines
- Provide NVRTC runtime libraries for CUDA-accelerated applications on Linux and Windows
- Fulfill CUDA toolkit dependencies for containerized GPU workloads
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building or running CUDA-accelerated Python applications that require runtime kernel compilation.
This is typically a transitive dependency rather than a direct install. The aging maintenance status (435 days since last release) is normal for a stable native library distribution. Proprietary licensing requires review of NVIDIA's terms. No known security vulnerabilities.
Install
nvidia-cuda-nvrtc-cu12 on PyPI
Before you install
Medium install friction due to platform-specific wheel distributions (x86_64 Linux, aarch64 Linux, Windows). Package is aging—last release was 435 days ago—but remains actively maintained within NVIDIA's CUDA ecosystem.
Requires NVIDIA GPU hardware and compatible NVIDIA driver; platform-specific wheels limit installation to x86_64 Linux, aarch64 Linux, or Windows x64.
License in practice
Licensed under LicenseRef-NVIDIA-Proprietary with unclear treatment. Proprietary license terms apply; review NVIDIA's licensing documentation before use in commercial or redistributed contexts.
Quickstart
pip install nvidia-cuda-nvrtc-cu12==12.9.86
import nvidia.cuda.nvrtc
# Access NVRTC runtime compilation capabilitiesVerify before relying
- Whether this package requires a separate CUDA Toolkit installation or system-level NVIDIA driver to function
- Compatibility constraints with specific NVIDIA driver versions
- Whether runtime compilation features are available on all supported platforms
Package facts
| License | LicenseRef-NVIDIA-Proprietary unclear |
| Python support | Supports the current Python release >=3 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Aging 435 days since the last release |
| First released | |
| Downloads | 27,268,429 / month, #863 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/ResearchLicense :: Other/Proprietary LicenseNatural 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_nvrtc_cu12-12.9.86-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl; nvidia_cuda_nvrtc_cu12-12.9.86-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; nvidia_cuda_nvrtc_cu12-12.9.86-py3-none-win_amd64.whl
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See also nvidia-cuda-nvrtc · nvidia-cuda-nvrtc-cu11 · nvidia-nvjitlink-cu12 · nvidia-cuda-nvcc-cu12 · nvidia-cuda-nvcc · nvidia-nvjitlink · triton-windows · nvidia-nvvm · nvidia-cuda-tileiras · nvidia-cuda-runtime-cu12