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Let's say we are using Python with Flask for a backend API to manage user profiles: MIAA-625
| Trend | Challenge | How MIAA‑625 Addresses It | |-------|-----------|---------------------------| | (LiDAR, depth cameras, bio‑signals) | Massive data streams → high compute & bandwidth demand | Integrated silicon‑photonic I/O (up to 200 Gb/s) reduces data movement bottlenecks. | | Battery constraints (wearables, autonomous micro‑robots) | Limited energy budget → short runtimes | 125 TOPS/W (≈3× the efficiency of the previous-gen MIAA‑520). | | On‑device privacy (GDPR, HIPAA, data‑sovereignty) | Cloud offloading not acceptable | Full inference‑only design; no raw data leaves the device. | | Rapid model iteration | Need for flexible tooling | MIAA‑SDK supports auto‑quantization, dynamic shape, and plug‑and‑play hardware‑accelerated kernels. | : Let's say we are using Python with