Tagged: opu
3 results
Neurophos
Neurophos is an Austin-based photonics startup building an Optical Processing Unit (OPU) that uses light instead of electrons to run AI inference. Spun out of Duke University and the Metacept incubator, the company packs more than a million micron-scale metamaterial optical modulators - roughly 10,000x smaller than conventional photonic elements - onto a single chip to perform the matrix-vector multiplication at the heart of large AI models. It positions the OPU as an energy-efficient, drop-in alternative to GPUs for data-center inference, and raised a $110M Series A led by Gates Frontier in January 2026.
Opticore
Opticore is a photonic computing startup building optical processing units (OPUs) - chips that run AI workloads with light and waveguides instead of electrons. Spun out of research at MIT, USC and UC Berkeley, the company claims its photonic chips are up to 100x more energy efficient and offer roughly 25x the computing density of leading GPUs, using time-multiplexed computing to encode as many as a trillion parameters on a single chip. Opticore has raised about $14.5M to date to attack the energy and 'memory wall' bottlenecks of AI data centers.
Zaijun Chen
Zaijun Chen is a physicist-turned-founder building light-powered computers for artificial intelligence. As co-founder and CEO of Opticore, he is developing photonic optical processing units (OPUs) that the company says are up to 100x more energy efficient and 25x denser than leading GPUs. Trained at the Max Planck Institute of Quantum Optics and MIT, and now director of the Laboratory of Intelligent and Quantum Photonics at USC, Chen turned a decade of precision-optics research into a venture-backed bet that the future of AI compute runs on photons instead of electrons.