Technology
Real-time Bayesian inference that updates its beliefs as new data arrives. It grew out of our RxInfer research and now runs on customer hardware.
Smoothing on a linear dynamical system with 200 steps: LazyInfer, RxInfer.jl, NumPyro and PyMC. LazyInfer runs 32,859× faster than PyMC.
A benchmark can be chosen to flatter. We picked the linear dynamical system because it is a canonical state-space model with a known analytical solution, so the result can be checked. All methods ran on a MacBook without GPU acceleration.
| Capability | LazyInfer | Conventional ML |
|---|---|---|
| Inference | Beliefs updated recursively | Fixed forward pass |
| Adaptation | Parameters updated on the device | Frozen weights |
| Uncertainty | Native and calibrated | Implicit or absent |
| Compute | Incremental, per observation | Batch |
Bring it to your hardware.
Tell us about your stack. We will walk through how LazyInfer fits in.
