nvidia-nvvm
NVVM Libraries
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
Provides the NVVM compiler IR library for building and optimizing CUDA applications on NVIDIA GPUs.
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
pip
pip install nvidia-nvvmuv
uv add nvidia-nvvmpoetry
poetry add nvidia-nvvmInstalling nvidia-nvvm
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.
Quickstart
pip install nvidia-nvvm==13.3.73
import nvidia.nvvm
# Access NVVM compiler IR for CUDA code generation
Requires a compatible platform: x86_64 Linux, aarch64 Linux, or Windows. Python >=3 required.
Verify 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) |
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
Keywords: cuda, nvidia, runtime, machine learning, deep learning
Tags
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