JAX vs NVIDIA cuDNN
JAX
docs.jax.devNVIDIA cuDNN
developer.nvidia.comSide by side
| Figure | JAX | NVIDIA cuDNN |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Deep Learning Software | 8.3 (#7) | 7.5 (#20) |
| Installation | JAX uses the `jax` Python package and `jaxlib`, which contains compiled binaries with different builds for operating systems and accelerators. | NVIDIA provides cuDNN downloads and installation options including pip, Docker, and package managers. |
| Security | Distributed coordination connections are neither encrypted nor authenticated by default; the documentation describes optional mutual TLS for securing them. | NVIDIA’s cuDNN page directs users to report security vulnerabilities or NVIDIA AI concerns. |
| Support | The installation guide directs users with problems using prebuilt wheels to the JAX GitHub issue tracker. | 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.