Every NVIDIA H200 / B200 / Rubin AI training cluster needs CPO by 2026-2028. Ring resonator tuning, grating coupler bandwidth, and MZI modulator drive-Vπ are the iteration bottleneck. ChipletOS Photonic Signoff v1 ships all three with AI surrogates at ≥ 99% R² vs reference solver and a 95% conformal prediction interval on every prediction.
Ring surrogate v1 returns Q_loaded + FSR_nm + FWHM_nm + a 95% conformal prediction interval sourced from a held-out test residual quantile. Inverse design via POST /v1/photonics/ring-from-target — give it a target FSR/Q, get back (radius, gap, width) inside the manufacturability envelope.
Grating surrogate v1 returns coupling_efficiency + peak_wavelength_nm + bandwidth_3dB_nm across (period, duty, etch_depth, fiber_angle). Drop into NVIDIA’s automated fiber-coupling alignment loop directly.
MZI surrogate v1 returns insertion_loss_dB + phase_shift_rad + transmission_bar over (arm_length, V_pi, applied_V, λ). The phase-shifter Pareto loop runs in < 10 ms per call. Drive-circuit co-design fits in your existing optimizer inner loop.
POST /v1/photonics/ring-from-target — inverse-design a ring for your target FSR/Q.POST /v1/photonics/resonator-pareto — Pareto front over (Q, FSR, footprint, IL).POST /v1/photonics/drc-photonic — AIM-Photonics-class DRC (design-rule check, live).