2.5D interposer migration
Samsung’s I-Cube4 (4-stack HBM) ramped on Si interposer. I-Cube8 candidates target glass interposer for cost-down + thermal headroom. ChipletOS UCIE cal head 81.6% gap closure on the chiplet-to-chiplet regime (v2 retrain).
Samsung Foundry’s I-Cube → I-Cube-G + H-Cube → H-Cube-G migration competes with TSMC CoWoS-G. Both target glass interposers for HBM4-class memory + AI-accelerator packaging. ChipletOS is the only EDA-adjacent platform that ships a glass-TGV-aware workflow stack today.
Samsung’s I-Cube4 (4-stack HBM) ramped on Si interposer. I-Cube8 candidates target glass interposer for cost-down + thermal headroom. ChipletOS UCIE cal head 81.6% gap closure on the chiplet-to-chiplet regime (v2 retrain).
H-Cube targets HBM4-class memory stacking with AI-accelerator-die-on-bottom. Glass interposer is the substrate of choice for thermal + warpage reasons. ChipletOS HBM4 cal head 90.3% gap closure on 4507 Palace cases at 50 GHz (v2 retrain) — 6/6 regimes deployed, ULTRA_HIGH_FREQ ties HBM4 at 90.5%.
Samsung Foundry’s custom-design service builds bespoke 3D-IC packages for hyperscalers + custom AI silicon. ChipletOS per-foundry fab-coupon export covers Samsung-specific 12-layer stack-up profiles (under MNDA).
Samsung Foundry customers run the full spectrum of EDA tools. Apple/Qualcomm tend Cadence-heavy; Nvidia/AMD lean Synopsys + Ansys; Asia ecosystem heavy on Siemens. ChipletOS’s 5/5 cross-EDA workflow lock means customers can hand you a Genesis-emitted bundle from ANY of those EDA stacks.
All 29 cross-vendor pytest contracts PASS + 250-cell grid stress + 50 multi-pole Debye stress + 8 malformed-input fuzz cells = 337+ adapter-cell verifications. Each vendor’s native validation honestly customer-deferred per per-vendor `_NATIVE_VALIDATION_DEFERRED.md` doc.