JAX
6.3#12 in deep learning softwareFree planFree planLinuxmacOSSelf-hostedWindows
Visit| Fact | JAX | Lightning AI Studios |
|---|---|---|
| Integrations | The documentation lists ecosystem libraries including Flax, Keras, Optax, TensorFlow Datasets, Hugging Face Datasets, NumPyro, and PyMC. | The Studio documentation describes connecting S3 buckets and EFS volumes through Lightning Drive and importing models from Hugging Face and GitHub. |
JAX is suited to Python researchers and engineers working on numerical computing or machine learning at scale, especially those targeting multiple accelerator backends. Users who need distributed coordination should account for the documented security defaults.
The Free plan is described for students, researchers and hobbyists. Pro is aimed at developers, researchers and scientists, while Teams is described for research labs and small teams.