nvidia-nvvm
NVVM Libraries
Decision gist · record as of 2026-08-14
Yes, if you are developing CUDA applications or GPU-accelerated software and need programmatic access to NVIDIA's compiler IR. The package is actively maintained, has no known security vulnerabilities, and carries no documented license restrictions. Medium install friction is typical for platform-specific compiled bindings. Not relevant for non-GPU workloads.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a compatible platform: x86_64 Linux, aarch64 Linux, or Windows.
- Python >=3 required.
- Medium install friction due to platform-specific wheels for x86_64 Linux, aarch64 Linux, and Windows.
License · maintenance · safety
(unclear)
last release 2026-06-29 (46 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,306,451 downloads/mo, #3,151 on PyPI
Alternatives
Verify before relying
pip install nvidia-nvvm==13.3.73
import nvidia.nvvm
# Access NVVM compiler IR for CUDA code generation- Whether this package requires a local CUDA toolkit installation or includes all necessary binaries
- Whether the package works on macOS or is limited to Linux and Windows only
- Documentation availability and API stability given Beta development status
- Actual runtime dependencies or system-level prerequisites beyond the wheel distributions
What it is and what it does
nvidia-nvvm is a Python interface to NVIDIA's NVVM compiler IR library, the intermediate representation layer used to compile CUDA code for GPU execution. It sits between high-level CUDA C/C++ code and final GPU machine code, handling optimization and code generation for NVIDIA hardware.
The package is distributed as platform-specific wheels for Linux (x86_64 and aarch64) and Windows, indicating it bundles compiled binaries. It has no runtime dependencies and is in Beta status, supporting Python 3.5 through 3.11. It is intended for developers, educators, and researchers working on GPU-accelerated systems.
Use it for
- Building custom CUDA kernels or GPU code generation tools needing direct NVVM IR access
- Developing machine learning frameworks that compile to GPU code
- Creating GPU-accelerated libraries requiring low-level CUDA compilation
- Integrating NVIDIA GPU compilation into Python-based build pipelines
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are developing CUDA applications or GPU-accelerated software and need programmatic access to NVIDIA's compiler IR.
The package is actively maintained, has no known security vulnerabilities, and carries no documented license restrictions. Medium install friction is typical for platform-specific compiled bindings. Not relevant for non-GPU workloads.
Install
nvidia-nvvm on PyPI
Before you install
Medium install friction due to platform-specific wheels for x86_64 Linux, aarch64 Linux, and Windows. Package is actively maintained with a release 46 days ago and supports current Python versions.
Requires a compatible platform: x86_64 Linux, aarch64 Linux, or Windows. Python >=3 required.
Quickstart
pip install nvidia-nvvm==13.3.73
import nvidia.nvvm
# Access NVVM compiler IR for CUDA code generationVerify before relying
- Whether this package requires a local CUDA toolkit installation or includes all necessary binaries
- Whether the package works on macOS or is limited to Linux and Windows only
- Documentation availability and API stability given Beta development status
- Actual runtime dependencies or system-level prerequisites beyond the wheel distributions
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 | 2,306,451 / month, #3,151 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_nvvm-13.3.73-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl; nvidia_nvvm-13.3.73-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; nvidia_nvvm-13.3.73-py3-none-win_amd64.whl
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See also nvidia-cuda-nvcc · nvidia-cuda-tileiras · nvidia-cuda-nvcc-cu12 · nvidia-nvfatbin · nvidia-nvjitlink · nvidia-cuda-nvrtc-cu12 · nvidia-nvjitlink-cu12 · nvidia-cuda-nvrtc · nvidia-cuda-nvrtc-cu11 · Theano-PyMC