[](https://pypi.org/project/jaxpm/) [](https://github.com/DifferentiableUniverseInitiative/JaxPM/actions/workflows/tests.yml) <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
> **The new JaxPM v0.1.xx** supports multi-GPU model distribution while remaining compatible with previous releases. These significant changes are still under development and testing, so please report any issues you encounter.
For more advanced installation for optimized distribution on gpu clusters, please install jaxDecomp first. See instructions [here](https://github.com/DifferentiableUniverseInitiative/jaxDecomp).
- Now fully distributable on **multi-GPU and multi-node** systems using [jaxDecomp](https://github.com/DifferentiableUniverseInitiative/jaxDecomp) working with`JAX v0.4.35`
- This project is and will remain open source, and usable without any restrictions for any purposes
- Will be a simple publication on [The Journal of Open Source Software](https://joss.theoj.org/)
- Everyone is welcome to contribute, and can join the JOSS publication (until it is submitted to the journal).
- Anyone (including main contributors) can use this code as a framework to build and publish their own applications, with no expectation that they *need* to extend authorship to all jaxpm developers.
To dive into JaxPM’s capabilities, please explore the **notebook section** for detailed tutorials and examples on various setups, from single-device simulations to multi-host configurations. You can find the notebooks' [README here](notebooks/README.md) for a structured guide through each tutorial.