The AI industry is currently searching for the optimal hardware architecture for AI computation. Our strategy for AI hardware is to enhance and construct it from the transistor level to application software, accommodating all neural network architectures and ML platforms and compilers.

We create a distinct chip and system architecture that surpasses industry competitors in performance, on-chip memory capacity, and energy efficiency. Our chips can compute at a fast enough rate to sustain AI training clusters and are compact enough to be embedded into mobile devices such as drones.

Cuperitno Solutions produces high-performance, low-power neural network processor chips and systems for deep learning applications and high-performance computing.