Key challenges before widespread adoption Analog AI chip design/spin‑outs Software tool‑chains for analog hardware Edge‑hardware integration (low‑power, high‑throughput) Hybrid analog/digital systems bridging new architecture and legacy software Applications and use‑cases: Where the analog chip can shine AI model training & inference acceleration: