nvidia-cuda-cupti
CUDA profiling tools runtime libs.
Decision gist · record as of 2026-08-14
Yes, if you need GPU profiling capabilities and can verify the license terms. The package is actively maintained, has no dependency friction, and is widely used (top 1000 on PyPI). However, it requires an NVIDIA GPU and CUDA environment, and the unclear license should be confirmed before commercial deployment. Not suitable for non-NVIDIA or CPU-only systems.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an NVIDIA GPU and CUDA-capable system; wheels are platform-specific (Linux x86_64, Linux aarch64, or Windows x64 only).
- Medium install friction due to platform-specific wheels (Linux aarch64, Linux x86_64, Windows).
- Package is actively maintained with a recent release.
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is available in the metadata. Verify licensing terms before use in proprietary or commercial projects.
last release 2026-06-29 (46 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 39,457,829 downloads/mo, #695 on PyPI
Alternatives
Verify before relying
pip install nvidia-cuda-cupti==13.3.75
import nvidia.cuda.cupti- Whether the package requires a specific CUDA Toolkit version to be pre-installed on the system.
- What profiling APIs are actually exposed and how third-party tools integrate with them.
- Whether the unclear license permits commercial use or has restrictions on redistribution.
What it is and what it does
nvidia-cuda-cupti is a Python package that bundles NVIDIA's CUDA Profiling Tools Interface (CUPTI) runtime libraries. It serves as a bridge for third-party profiling and monitoring tools to access GPU performance metrics and profiling data on NVIDIA hardware. The package is platform-specific, distributed as compiled wheels for Linux (both x86_64 and aarch64) and Windows x64.
The package has no Python runtime dependencies and is intended for developers and researchers working with CUDA, machine learning, and deep learning workflows who need programmatic access to GPU profiling capabilities. It is actively maintained and supports Python 3.5 through 3.11, though the unclear license status requires verification before use in commercial contexts.
Use it for
- Integrate GPU profiling into machine learning training pipelines to monitor performance and identify bottlenecks.
- Build custom profiling dashboards or monitoring tools that collect CUDA performance metrics from running applications.
- Profile deep learning models during development to optimize GPU memory usage and compute efficiency.
- Enable third-party performance analysis tools to access low-level GPU telemetry and profiling data.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need GPU profiling capabilities and can verify the license terms.
The package is actively maintained, has no dependency friction, and is widely used (top 1000 on PyPI). However, it requires an NVIDIA GPU and CUDA environment, and the unclear license should be confirmed before commercial deployment. Not suitable for non-NVIDIA or CPU-only systems.
Install
nvidia-cuda-cupti on PyPI
Before you install
Medium install friction due to platform-specific wheels (Linux aarch64, Linux x86_64, Windows). Package is actively maintained with a recent release. No runtime dependencies to manage.
Requires an NVIDIA GPU and CUDA-capable system; wheels are platform-specific (Linux x86_64, Linux aarch64, or Windows x64 only).
License in practice
License treatment is unclear—no SPDX identifier or raw license text is available in the metadata. Verify licensing terms before use in proprietary or commercial projects.
Quickstart
pip install nvidia-cuda-cupti==13.3.75
import nvidia.cuda.cuptiVerify before relying
- Whether the package requires a specific CUDA Toolkit version to be pre-installed on the system.
- What profiling APIs are actually exposed and how third-party tools integrate with them.
- Whether the unclear license permits commercial use or has restrictions on redistribution.
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 | 39,457,829 / month, #695 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_cuda_cupti-13.3.75-py3-none-manylinux_2_25_aarch64.whl; nvidia_cuda_cupti-13.3.75-py3-none-manylinux_2_25_x86_64.whl; nvidia_cuda_cupti-13.3.75-py3-none-win_amd64.whl
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See also nvidia-cuda-cupti-cu11 · nvidia-cuda-cupti-cu12 · cupti-python · nvidia-nvtx · nvidia-nvtx-cu12 · nvidia-nvtx-cu11 · nvidia-cuda-runtime · nvidia-cufft · nvidia-cudnn-cu11 · ngcsdk