nvidia-nvjitlink

Nvidia JIT LTO Library

nvidia-nvjitlink License unclear Active v13.3.33 released 2026-05-26

Install

nvidia-nvjitlink on PyPI

pip

pip install nvidia-nvjitlink

uv

uv add nvidia-nvjitlink

poetry

poetry add nvidia-nvjitlink

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 — 79 days since the last release
First released	2025-04-04
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: nvidia_nvjitlink-13.3.33-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl; nvidia_nvjitlink-13.3.33-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; nvidia_nvjitlink-13.3.33-py3-none-win_amd64.whl

Keywords: cuda, nvidia, runtime, machine learning, deep learning

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

About nvidia-nvjitlink

from the package's own PyPI description — quoted content, verbatim

NVIDIA compiler library for JIT LTO functionality.

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Provides NVIDIA's JIT LTO (Link-Time Optimization) compiler library for CUDA, enabling runtime compilation and optimization of GPU code.

Medium install friction due to platform-specific wheels (x86_64 Linux, aarch64 Linux, Windows x64 only); no runtime dependencies. Active maintenance with a release 79 days ago.

Usage

pip install nvidia-nvjitlink==13.3.33
import nvidia.nvjitlink

Requires Python >=3 and a supported platform (Linux x86_64, Linux aarch64, or Windows x64); NVIDIA CUDA toolkit may be required for full functionality.

Verdict: A specialized NVIDIA compiler library in beta (Development Status 4) with no known vulnerabilities and active maintenance. Install friction is moderate due to platform-specific wheels and unclear licensing. Suitable for GPU-accelerated applications requiring JIT compilation, but verify licensing terms and CUDA toolkit compatibility before adoption.

Needs verification

Actual license terms and restrictions—license_treatment is marked 'unclear' with no SPDX or raw license text provided
Whether NVIDIA CUDA toolkit or other system libraries must be pre-installed for this package to function
Real-world stability and maturity of the beta release (Development Status 4) in production environments

nvidia cuda jit compilergpu runtime compilationnvidia nvjitlinkcuda link time optimizationnvidia jit lto librarygpu code optimizationcuda runtime linker