Silicon-photonic MAC tile
Matrix-multiply done in light at 1550 nm — sub-picojoule per MAC. The same descent, one paradigm out.
The frontier exemplar, and the point where the classification flips. On the ring, the compute (the MCU) was reuse and only the sensor was the slice. Here the compute itself is the slice — you cannot buy a photonic matrix core off a reel; it is the thing openWafer designs, in the substrate where a multiply-accumulate costs the fewest joules. The passives, the laser, the readout, and the drive electronics around it are still reuse.
Exploded
Decompose the product into its stack. Each layer is colour-coded by what it is to the next build.
Bill of materials
Every part is a real, sourced component from the open baseline — no invented part numbers.
This is the computer. There is no off-the-shelf photonic matrix core — the mesh topology, the loss budget, and the calibration are the design. The multiply-accumulate primitive realised in the substrate where it costs the least energy.
https://gdsfactory.github.io/gdsfactory/ →Thermal phase shifters burn static power continuously — the scaling blocker. The slice openWafer designs: non-volatile phase shifters (phase-change / MEMS / BTO) that hold weights at zero idle power.
Compact slow-light EO modulators (TeMPO-class) cut the area and drive energy of the encoder — co-designed with the CMOS driver below.
https://www.aimphotonics.com/pdk →Mature PDK passive. Reuse as-is.
https://github.com/SiEPIC →Standard, qualified PDK component. Reuse.
https://www.aimphotonics.com/pdk →Telecom-volume commodity. Reuse.
Standard CMOS that refreshes on a node clock — reuse the current generation; the co-design opportunity is the interface, not the process.
Settled PDK passive layer. Reuse.
The slice openWafer designs
On the ring, the compute was reuse — an off-the-shelf MCU — and the slice was the sensor. Here it inverts: the compute is the slice. The MZI mesh, the phase-shifter technology, and the modulator are the matrix-multiply primitive realised in light, in the substrate where it dissipates the fewest joules per operation. The passives, the laser, the photodetector, and the CMOS drive are all reuse. openWafer’s design is the computational core itself — and specifically the move that makes photonic compute scale: replacing power-hungry thermo-optic tuning with non-volatile phase shifters, so the mesh holds its weights at zero idle power. That is design-from-math, pick-the-substrate: put the matrix-multiply where its friction is lowest, and design only the part no one can hand you.