TetraMem's technology overcomes the challenges in energy consumption and computing throughput facing traditional AI accelerators. We repurpose physical laws to achieve massively parallel analog computing at the device location where data is physically stored, substantially accelerating the multiply-accumulate (MAC) operations in artificial intelligence neural networks. Our scalable technology is optimized for low-power edge and endpoint inference, built on our patented devices and co-design solutions.