I accidentally made probabilistic programming 30-200x faster
I'm a web developer who stumbled onto GPU-native probabilistic programming while working on an unrelated hobby project.By "GPU-native" I mean the entire inference algorithm runs inside GPU kernels with no CPU coordination - no Python overhead, no kernel launch latency between steps.I benchmarked against NumPyro, JAX, and GPyTorch on 15 different inference algorithms. I don't have a statistics...