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nvidia-cuda-nvrtc-cu11

NVRTC native runtime libraries

With conditionsPyPI Software DevelopmentReleased Oct 20222.2M downloads / moNVIDIA Proprietary SoftwarePlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — nvidia_cuda_nvrtc_cu11-11.8.89-py3-none-manylinux1_x86_64.whl · nvidia_cuda_nvrtc_cu11-11.8.89-py3-none-manylinux2014_aarch64.whl · nvidia_cuda_nvrtc_cu11-11.8.89-py3-none-manylinux2014_x86_64.whl
v11.8.89 · released 2022-10-03 · Python >=3

Yes, but only if you need CUDA 11.8.89 NVRTC support and have no alternative. The package is abandoned and will not receive updates; if you are starting a new project, prefer a maintained CUDA distribution or newer CUDA version. Install only as a transitive dependency of a package you already require, or if you are locked to CUDA 11 by other constraints. Verify NVIDIA's proprietary license permits your use case before deployment.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires CUDA 11 compatible system; only available for Python 3.5+ on Linux (x86_64/aarch64) or Windows (x86_64).
  • Medium install friction due to platform-specific wheel distributions (manylinux1, manylinux2014, Windows).
  • Package is abandoned as of 1411 days since last release, with no active maintenance or repository commits tracked.

License · maintenance · safety

NVIDIA Proprietary Software (unclear) — Licensed under NVIDIA Proprietary Software with unclear license treatment. Users should review NVIDIA's licensing terms before deployment, particularly for commercial or redistributed applications.

last release 2022-10-03 (1411 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,248,632 downloads/mo, #3,189 on PyPI

Verify before relying

pip install nvidia-cuda-nvrtc-cu11==11.8.89

import nvidia.cuda.nvrtc_cu11
# Access NVRTC runtime libraries for kernel compilation
  • Whether abandoned status affects compatibility with current CUDA toolchain versions beyond 11.8.89
  • Whether proprietary license permits use in open-source or commercial projects without explicit NVIDIA agreement
  • Current stability and security posture given 1411 days without maintenance
Same gist for agents: .md · .json

What it is and what it does

This package bundles NVIDIA's NVRTC (CUDA Runtime Compiler) native libraries as a Python wheel, allowing developers to compile CUDA kernels at runtime rather than ahead-of-time. It is a low-level distribution mechanism for CUDA 11 tooling, not a high-level API—it exists primarily to satisfy dependencies of higher-level frameworks like CuPy or other GPU acceleration libraries that need runtime kernel compilation capabilities.

The package provides no Python API of its own; it simply makes compiled NVIDIA libraries available to other packages. Installation requires matching your system architecture (x86_64 or aarch64 Linux, or x86_64 Windows) and Python version (3.5 through 3.11). Because the package is abandoned and has not been updated since October 2022, it is locked to CUDA 11.8.89 and will not receive updates for newer CUDA versions or security patches.

Use it for

  • Satisfy NVRTC dependencies for GPU-accelerated Python libraries like CuPy that perform runtime kernel compilation
  • Enable just-in-time CUDA kernel compilation in scientific computing workflows without pre-compiling kernels
  • Support legacy projects pinned to CUDA 11 that require runtime compilation capabilities
  • Provide NVRTC libraries in containerized environments where CUDA toolkit installation is not feasible

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, but only if you need CUDA 11.8.89 NVRTC support and have no alternative.

The package is abandoned and will not receive updates; if you are starting a new project, prefer a maintained CUDA distribution or newer CUDA version. Install only as a transitive dependency of a package you already require, or if you are locked to CUDA 11 by other constraints. Verify NVIDIA's proprietary license permits your use case before deployment.

Install

nvidia-cuda-nvrtc-cu11 on PyPI

Before you install

Medium install friction due to platform-specific wheel distributions (manylinux1, manylinux2014, Windows). Package is abandoned as of 1411 days since last release, with no active maintenance or repository commits tracked.

Requires CUDA 11 compatible system; only available for Python 3.5+ on Linux (x86_64/aarch64) or Windows (x86_64).

License in practice

Licensed under NVIDIA Proprietary Software with unclear license treatment. Users should review NVIDIA's licensing terms before deployment, particularly for commercial or redistributed applications.

Quickstart

pip install nvidia-cuda-nvrtc-cu11==11.8.89

import nvidia.cuda.nvrtc_cu11
# Access NVRTC runtime libraries for kernel compilation

Verify before relying

  • Whether abandoned status affects compatibility with current CUDA toolchain versions beyond 11.8.89
  • Whether proprietary license permits use in open-source or commercial projects without explicit NVIDIA agreement
  • Current stability and security posture given 1411 days without maintenance

Package facts

LicenseNVIDIA Proprietary Software unclear
Python supportSupports the current Python release >=3
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceAbandoned 1,411 days since the last release
First released
Downloads2,248,632 / month, #3,189 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone 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_cu11-11.8.89-py3-none-manylinux1_x86_64.whl; nvidia_cuda_nvrtc_cu11-11.8.89-py3-none-manylinux2014_aarch64.whl; nvidia_cuda_nvrtc_cu11-11.8.89-py3-none-manylinux2014_x86_64.whl; nvidia_cuda_nvrtc_cu11-11.8.89-py3-none-win_amd64.whl

Tags

Capabilities
cuda nvrtc runtime compilationnvidia cuda kernel compilationcuda jit compilation librariesnvidia cuda runtime librariescuda dynamic kernel compilation
Topics
cudagpu-computingabandoned
PyPI keywords
cudanvidiaruntimemachine learningdeep learning

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See also nvidia-cuda-nvrtc · nvidia-cuda-nvrtc-cu12 · nvidia-cuda-tileiras · nvidia-nvjitlink · nvidia-nvjitlink-cu12 · nvidia-cuda-nvcc · nvidia-cuda-nvcc-cu12 · nvidia-cuda-runtime-cu11 · nvidia-curand-cu11 · nvidia-nvvm

Further reading