nvidia-cuda-cupti
CUDA profiling tools runtime libs.
Install
nvidia-cuda-cupti on PyPI
pip
pip install nvidia-cuda-cuptiuv
uv add nvidia-cuda-cuptipoetry
poetry add nvidia-cuda-cuptiPackage 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 — 45 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-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
Keywords: cuda, nvidia, runtime, machine learning, deep learning
About nvidia-cuda-cupti
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 CUDA profiling runtime libraries that enable third-party tools to access GPU profiling APIs on NVIDIA hardware.
Medium install friction due to platform-specific wheels (Linux aarch64/x86_64, Windows); package is actively maintained with a release 45 days ago and supports Python 3.5–3.11.
Usage
pip install nvidia-cuda-cupti==13.3.75
# Package provides runtime libraries; typically used via profiling tools that depend on it.
Requires NVIDIA CUDA Compute Capability hardware and matching CUDA driver; platform-specific wheel selection (Linux or Windows).
Verdict: A foundational NVIDIA runtime package for GPU profiling, actively maintained and widely used (top 1000 PyPI). No known vulnerabilities. Install friction is moderate due to platform specificity, but the package itself is stable and dependency-free. Suitable for environments where GPU profiling tooling is needed.
Needs verification
- Whether the package requires a specific CUDA Toolkit version beyond what the wheel metadata specifies.
- Actual license terms, since license_treatment is marked 'unclear' with no SPDX identifier provided.
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