The Analog Processing Unit (APU) is a step-change in artificial intelligence.
This is made possible by the combination of Rain's proprietary algorithm and architecture.

The world's first algorithm for end-to-end analog training and inference.
We collaborated with Turing Award winner Yoshua Bengio to develop an algorithm that allows our APUs to operate entirely in analog. Our algorithm is the world's first energy-based model realized as a physical circuit.
An architecture to scale up analog neural networks.
