nvidia-cudnn-cu13
cuDNN runtime libraries
Install
nvidia-cudnn-cu13 on PyPI
pip
pip install nvidia-cudnn-cu13uv
uv add nvidia-cudnn-cu13poetry
poetry add nvidia-cudnn-cu13Package facts
| License | not declared (unclear) |
| Python support | supports the current Python release (>=3) |
| Install friction | medium — platform-specific wheel |
| Runtime dependencies | 1 — nvidia-cublas |
| Maintenance | actively maintained — 42 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_cudnn_cu13-9.24.0.43-py3-none-manylinux_2_27_aarch64.whl; nvidia_cudnn_cu13-9.24.0.43-py3-none-manylinux_2_27_x86_64.whl; nvidia_cudnn_cu13-9.24.0.43-py3-none-win_amd64.whl
Keywords: cuda, nvidia, runtime, machine learning, deep learning
About nvidia-cudnn-cu13
from the package's own PyPI description — quoted content, verbatim
cuDNN runtime libraries containing primitives for deep neural networks.
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 cuDNN runtime libraries and primitives optimized for deep neural network computation on NVIDIA GPUs, requiring CUDA 13 support.
Medium install friction due to platform-specific wheels (Linux x86_64/aarch64, Windows) and a runtime dependency on nvidia-cublas. Active maintenance with a recent release (42 days old), though repository metadata is unavailable.
Usage
pip install nvidia-cudnn-cu13
import nvidia.cudnn
Requires NVIDIA GPU with CUDA 13 support and nvidia-cublas runtime dependency installed; platform-specific wheel for your OS/architecture.
Verdict: A freshly maintained, top-1000 package providing essential cuDNN primitives for GPU-accelerated deep learning. Medium install friction is expected for GPU libraries; no known vulnerabilities. Suitable for ML/AI workloads targeting CUDA 13, though unclear licensing warrants verification before production use.
Needs verification
- Actual license terms and restrictions—license_treatment is 'unclear' with no SPDX or raw license text provided.
- Whether the package's Beta status (Development Status :: 4) indicates API stability or ongoing changes.
- Compatibility guarantees with specific deep learning frameworks (PyTorch, TensorFlow, etc.) beyond the raw cuDNN primitives.
Similar packages
unclear · top 1,000 on PyPI
torchpermissive · top 1,000 on PyPI
nvidia-cufileunclear · top 1,000 on PyPI
onnxruntimepermissive · top 1,000 on PyPI
nvidia-nvshmem-cu13unclear · top 1,000 on PyPI
tritonpermissive · top 1,000 on PyPI
nvidia-cusparselt-cu13unclear · top 1,000 on PyPI
nvidia-cusolverunclear · top 1,000 on PyPI
nvidia-cufftunclear · top 1,000 on PyPI
nvidia-cufft-cu12unclear · top 1,000 on PyPI