Registry / ai-ml / nvidia-nvvm

nvidia-nvvm

JSON →
library13.3.33pypypiunverified

NVIDIA NVVM compiler library for CUDA. Provides the libnvvm.so shared library for compiling CUDA device code to PTX. Version 13.2.78; follows CUDA release cadence.

pip install nvidia-nvvm
INSTALL
IMPORT
SIG · NVIDIA-NVVM
N
nvidia-nvvm
ai-mlpythonv13.3.33
Install
3.1s avg
Import
Disk
168MB
Pass rate
5/ 10
Env Coverage5 / 10
glibc
3.93.13
musl
3.93.13
Install & Compatibility
Where this runs
tested against v13.3.33 · pip install
no network on importno background threads
Install × environment matrix
Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux
musl
py 3.103.95 runs
build_error
glibc
py 3.103.95 runs
installs and imports cleanly · install 3.1s · import 0.000s · 170MB
168MB installed
● package 168MB
Code
Verified usage

Verified import paths — ran on the pinned version, not inferred.

nvvm
import nvidia.nvvm
import nvvm

Check installed NVVM version

import nvvm print(nvvm.__version__)
Debug
Known issues
deprecatednvidia-nvvm is deprecated in favor of nvidia-nvjitlink for CUDA 12.x+
fix
Use pip install nvidia-nvjitlink for newer CUDA toolkits
affects: >=12.0
breakingAPI breaking changes between CUDA 11.x (nvidia-nvvm) and 12.x (nvidia-nvjitlink): function names differ
fix
Consult CUDA 12 release notes for updated API calls
affects: >=12.0
gotchaPackage name is all lowercase: nvidia-nvvm, not nvidia-NVVM
fix
Use correct pip install nvidia-nvvm
affects: all
gotchaOnly provides shared library; does not include compiler tools (nvcc, nvprune) — those are in cuda-toolkit or cuda-nvcc
fix
Install nvidia-cuda-nvcc for compiler tools
affects: all
Upgrade
Version history
13.3.33latest on PyPI · released May 26, 2026
Audit
Dependencies
nvidia-cuda-runtimerequiredRequired for CUDA runtime support
Agent activity
2 hits · last 30 days
node
2
Resources
nvidia-nvvm — pip install nvidia-nvvm · libregistry