Q.ANT Launches First Commercial Photonic Processor – for Energy-Efficient High-Performance Computing and Real-Time AI Applications
Q.ANT Launches First Commercial Photonic Processor – for Energy-Efficient High-Performance Computing and Real-Time AI Applications
Q.ANT, the leading startup for photonic computing, today announced the launch of its first commercial product – a photonics-based Native Processing Unit (NPU) built on the company’s compute architecture LENA – Light Empowered Native Arithmetics. The product is fully compatible with today’s existing computing ecosystem as it comes on the industry-standard PCI-Express. The Q.ANT NPU executes complex, non-linear mathematics natively using light instead of electrons, promising to deliver at least 30 times greater energy efficiency and significant computational speed improvements over traditional CMOS technology. Designed for compute-intensive applications such as AI Inference, machine learning, and physics simulation, the Q.ANT NPU has been proven to solve real-world challenges, including number recognition for deep neural network inference.