nvidia-cuda-cupti-cu11
CUDA profiling tools runtime libs.
Decision gist · record as of 2026-08-14
No, unless you are maintaining a legacy CUDA 11 application that explicitly requires this package. The abandoned status and proprietary licensing make it a poor choice for new projects. Check whether your framework or profiling tool actually needs this specific package version, or use a maintained NVIDIA CUDA package instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires CUDA 11 toolkit installed on system; platform-specific wheels for Windows, Linux x86_64, or Linux ARM64 only.
- Package is abandoned with no maintenance since its latest release on 2022-10-03.
- Medium install friction due to platform-specific wheel distribution across Windows and Linux architectures.
License · maintenance · safety
NVIDIA Proprietary Software (unclear) — Licensed under NVIDIA Proprietary Software with unclear treatment. Review NVIDIA's licensing terms before use in commercial or redistributed contexts.
last release 2022-10-03 (1411 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,537,398 downloads/mo, #3,794 on PyPI
Alternatives
Verify before relying
pip install nvidia-cuda-cupti-cu11==11.8.87
import nvidia.cuda_cupti_cu11- Whether this package works with CUDA versions beyond 11.8.87 or if newer NVIDIA CUDA packages should be used instead
- Compatibility with Python versions beyond 3.11 given the abandoned maintenance status
- Whether direct use is necessary or if a higher-level framework handles installation automatically
What it is and what it does
This package bundles NVIDIA's CUDA Unified Profiling Tools Interface (CUPTI) runtime libraries, which enable third-party profiling and monitoring tools to access GPU performance metrics and trace data. It is a low-level dependency typically installed automatically by higher-level GPU frameworks rather than used directly.
The package targets developers working with CUDA 11 who need profiling capabilities for GPU applications. It supports Python 3.5 through 3.11 and is distributed as platform-specific wheels for Windows and Linux (x86_64 and ARM64). However, the package has been abandoned since its latest release on 2022-10-03, making it a legacy component that may not support newer CUDA versions or Python releases.
Use it for
- Enable GPU profiling in CUDA 11-based machine learning frameworks that depend on CUPTI for performance monitoring
- Support third-party profiling tools that require NVIDIA's GPU profiling APIs on Linux or Windows systems
- Provide runtime libraries for legacy GPU applications built against CUDA 11 that need performance analysis
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, unless you are maintaining a legacy CUDA 11 application that explicitly requires this package.
The abandoned status and proprietary licensing make it a poor choice for new projects. Check whether your framework or profiling tool actually needs this specific package version, or use a maintained NVIDIA CUDA package instead.
Install
nvidia-cuda-cupti-cu11 on PyPI
Before you install
Package is abandoned with no maintenance since its latest release on 2022-10-03. Medium install friction due to platform-specific wheel distribution across Windows and Linux architectures. No runtime dependencies to manage.
Requires CUDA 11 toolkit installed on system; platform-specific wheels for Windows, Linux x86_64, or Linux ARM64 only.
License in practice
Licensed under NVIDIA Proprietary Software with unclear treatment. Review NVIDIA's licensing terms before use in commercial or redistributed contexts.
Quickstart
pip install nvidia-cuda-cupti-cu11==11.8.87
import nvidia.cuda_cupti_cu11Verify before relying
- Whether this package works with CUDA versions beyond 11.8.87 or if newer NVIDIA CUDA packages should be used instead
- Compatibility with Python versions beyond 3.11 given the abandoned maintenance status
- Whether direct use is necessary or if a higher-level framework handles installation automatically
Package facts
| License | NVIDIA Proprietary Software unclear |
| Python support | Supports the current Python release >=3 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,411 days since the last release |
| First released | |
| Downloads | 1,537,398 / month, #3,794 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/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_cupti_cu11-11.8.87-py3-none-manylinux1_x86_64.whl; nvidia_cuda_cupti_cu11-11.8.87-py3-none-manylinux2014_aarch64.whl; nvidia_cuda_cupti_cu11-11.8.87-py3-none-manylinux2014_x86_64.whl; nvidia_cuda_cupti_cu11-11.8.87-py3-none-win_amd64.whl
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See also cupti-python · nvidia-cuda-cupti · nvidia-cuda-cupti-cu12 · nvidia-cuda-runtime-cu11 · nvidia-nvtx-cu11 · nvidia-nvtx-cu12 · nvidia-cudnn-cu11 · nvidia-cufft-cu11 · nvidia-cuda-runtime-cu12 · egl-probe