nvidia-cuda-cupti-cu12
CUDA profiling tools runtime libs.
Decision gist · record as of 2026-08-14
Yes, if you are developing or deploying GPU-accelerated workloads on CUDA 12 and require profiling capabilities. Install only if a higher-level tool or framework explicitly lists it as a dependency. Do not install directly unless you are building profiling infrastructure. Review NVIDIA's proprietary license terms before use in commercial or restricted contexts.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires CUDA 12 toolkit installed on the system; architecture must match wheel distribution (x86_64, aarch64, or Windows amd64)
- Medium install friction due to platform-specific wheel distributions (x86_64, aarch64, Windows).
- Package is aging—last release was 435 days ago—but remains actively maintained on the NVIDIA release cycle.
License · maintenance · safety
LicenseRef-NVIDIA-Proprietary (unclear) — Licensed under NVIDIA's proprietary license (LicenseRef-NVIDIA-Proprietary) with unclear terms. Review NVIDIA's licensing documentation before deploying in commercial or restricted environments.
last release 2025-06-05 (435 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 26,001,832 downloads/mo, #895 on PyPI
Alternatives
Verify before relying
# Typically installed as a transitive dependency.
# Direct installation (if needed):
# pip install nvidia-cuda-cupti-cu12==12.9.79
#
# No direct Python API; used by profiling frameworks:
import sys
print(f"CUPTI runtime available for {sys.platform}")- Whether this package can be redistributed or vendored in closed-source applications under its proprietary license
- Whether the aging maintenance status reflects normal NVIDIA release cadence or signals reduced support
What it is and what it does
This package distributes NVIDIA's CUDA Profiling Tools Interface (CUPTI) runtime libraries for CUDA 12. It is a low-level runtime dependency rather than a user-facing tool—it provides the shared libraries that GPU profiling frameworks (like NVIDIA's own profilers or third-party tools) link against to collect performance metrics from NVIDIA GPUs.
The package ships as platform-specific wheels for Linux (x86_64 and aarch64) and Windows, with no Python-level runtime dependencies. Installation requires matching your system architecture and CUDA 12 environment. It is typically installed as a transitive dependency of higher-level profiling or machine-learning frameworks rather than directly by end users.
Use it for
- Enable GPU profiling in machine-learning training pipelines that depend on CUPTI-based profilers
- Provide runtime support for NVIDIA's native profiling tools (nvprof, nsys) in containerized or CI/CD environments
- Supply profiling libraries for third-party GPU performance analysis frameworks built on CUPTI
- Support development and debugging of GPU-accelerated applications requiring detailed performance metrics
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are developing or deploying GPU-accelerated workloads on CUDA 12 and require profiling capabilities.
Install only if a higher-level tool or framework explicitly lists it as a dependency. Do not install directly unless you are building profiling infrastructure. Review NVIDIA's proprietary license terms before use in commercial or restricted contexts.
Install
nvidia-cuda-cupti-cu12 on PyPI
Before you install
Medium install friction due to platform-specific wheel distributions (x86_64, aarch64, Windows). Package is aging—last release was 435 days ago—but remains actively maintained on the NVIDIA release cycle.
Requires CUDA 12 toolkit installed on the system; architecture must match wheel distribution (x86_64, aarch64, or Windows amd64)
License in practice
Licensed under NVIDIA's proprietary license (LicenseRef-NVIDIA-Proprietary) with unclear terms. Review NVIDIA's licensing documentation before deploying in commercial or restricted environments.
Quickstart
# Typically installed as a transitive dependency.
# Direct installation (if needed):
# pip install nvidia-cuda-cupti-cu12==12.9.79
#
# No direct Python API; used by profiling frameworks:
import sys
print(f"CUPTI runtime available for {sys.platform}")Verify before relying
- Whether this package can be redistributed or vendored in closed-source applications under its proprietary license
- Whether the aging maintenance status reflects normal NVIDIA release cadence or signals reduced support
Package 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 435 days since the last release |
| First released | |
| Downloads | 26,001,832 / month, #895 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_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
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See also nvidia-cuda-cupti · nvidia-cuda-cupti-cu11 · cupti-python · nvidia-nvtx-cu12 · nvidia-cuda-runtime-cu11 · nvidia-nvtx-cu11 · nvidia-cuda-runtime-cu12 · nvidia-nvtx · nvidia-cuda-cccl-cu12 · nvidia-curand-cu12