Photonic AI accelerators are specialized hardware devices designed to accelerate artificial intelligence computations by performing matrix multiplications using light (photons) rather than traditional electronic circuits.
High energy costs associated with running neural networks in data centers during inference processes.
These chips utilize silicon-photonic meshes where optical signals carry out multiply-accumulate operations as light passes through tunable interferometers. Electronics are limited to the edges of these devices, reducing power consumption and increasing speed compared to purely electronic counterparts.
The manufacturing process involves creating silicon-based photonic components integrated with traditional electronics. This requires advanced semiconductor fabrication techniques and precise control over optical properties of materials at the nanoscale.
A multi-step process including wafer preparation, lithography, deposition, patterning, etching, and assembly of photonic elements onto electronic circuits.
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