nvidia-cuda-cupti-cu12
CUDA profiling tools runtime libs.
Install
nvidia-cuda-cupti-cu12 on PyPI
pip
pip install nvidia-cuda-cupti-cu12uv
uv add nvidia-cuda-cupti-cu12poetry
poetry add nvidia-cuda-cupti-cu12Package facts
| License | LicenseRef-NVIDIA-Proprietary (unclear) |
| Python support | supports the current Python release (>=3) |
| Install friction | medium — platform-specific wheel |
| Runtime dependencies | none |
| Maintenance | aging — 434 days since the last release |
| First released | |
| 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_cuda_cupti_cu12-12.9.79-py3-none-manylinux_2_25_aarch64.whl; nvidia_cuda_cupti_cu12-12.9.79-py3-none-manylinux_2_25_x86_64.whl; nvidia_cuda_cupti_cu12-12.9.79-py3-none-win_amd64.whl
Keywords: cuda, nvidia, runtime, machine learning, deep learning
About nvidia-cuda-cupti-cu12
from the package's own PyPI description — quoted content, verbatim
Provides libraries to enable third party tools using GPU profiling APIs.
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 GPU profiling runtime libraries for CUDA 12, enabling third-party tools to access NVIDIA GPU profiling APIs on Linux, Windows, and ARM systems.
Medium install friction due to platform-specific wheels (x86_64, aarch64, Windows); no runtime dependencies. Package is aging (434 days since release) with no visible repository activity, suggesting limited active maintenance.
Licensed under LicenseRef-NVIDIA-Proprietary with unclear treatment—not a standard SPDX identifier. Users should review NVIDIA's proprietary terms before integrating into commercial or redistributed software.
Usage
pip install nvidia-cuda-cupti-cu12==12.9.79
import nvidia.cuda.cupti
Requires CUDA 12 compatible hardware (NVIDIA GPU) and matching OS/architecture (Linux x86_64/aarch64 or Windows); installation will fail on unsupported platforms.
Verdict: A specialized runtime library for GPU profiling in CUDA 12 environments with no external dependencies and no known vulnerabilities. Suitable for developers integrating NVIDIA profiling tools, but aging maintenance status and proprietary licensing warrant caution in long-term or commercial deployments.
Needs verification
- Whether NVIDIA actively maintains this package or if it is superseded by newer CUDA versions
- Specific terms and restrictions of the LicenseRef-NVIDIA-Proprietary license
- Compatibility guarantees with CUDA 12.x minor versions beyond 12.9.79
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