Horovod vs NVIDIA cuDNN
Horovod
horovod.aiNVIDIA cuDNN
developer.nvidia.comSide by side
| Figure | Horovod | NVIDIA cuDNN |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Deep Learning Software | 8.1 (#11) | 7.5 (#20) |
| Installation | The getting-started page provides pip installation commands for CPU use and GPU use with NCCL. | NVIDIA provides cuDNN downloads and installation options including pip, Docker, and package managers. |
| Purpose | Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch and Apache MXNet. | cuDNN is a GPU-accelerated library of primitives for deep neural networks. |
| Requirements | The project README says Linux or macOS installation requires CMake and describes compiler requirements for supported frameworks. | cuDNN requires compatible operating system, CUDA, driver, and NVIDIA hardware versions, and the current compatibility details are in its support matrix. |
| Security | The documentation includes a security section for Horovod on Spark; the opened pages make no security certification or compliance claim. | NVIDIA’s cuDNN page directs users to report security vulnerabilities or NVIDIA AI concerns. |
| Support | The project directs users to documentation, troubleshooting guidance and a ticket submission link for unresolved issues. | NVIDIA provides cuDNN documentation and a developer forum from the product page. |
Plans
In their own words
NVIDIA cuDNN
NVIDIA cuDNN has no write-up on Specifiction yet; its figures are above.