BlackJAX provides modular, fast sampling algorithms for Bayesian inference, built as composable kernels on top of JAX. It supports Hamiltonian Monte Carlo, NUTS, and other MCMC methods, targeting users who need GPU-accelerated statistical sampling for ML research or probabilistic programming integration.