gpu computeQuick Start ↓
Get Started with JAX
High-performance machine learning research with Autograd and XLA integration.
Getting Started
1
Read the official documentation
The JAX team maintains comprehensive docs that cover installation, configuration, and common patterns.
Open JAX Docs↗2
3
Review strengths, tradeoffs, and alternatives
Our full tool profile covers JAX's strengths, weaknesses, pricing, and how it compares to alternatives.
View full profile→Best For
Researchers who need both speed and flexibility in their ML workflows.
Teams working on complex models that require hardware acceleration.
Developers looking to integrate automatic differentiation into their projects.