On-device AI is a genuine product surface (privacy, offline, latency), and it imposes hard constraints. The signal is the quantization plus format plus runtime stack and the tradeoffs you accept under tight memory and battery budgets.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
On-device AI is a genuine product surface (privacy, offline, latency), and it imposes hard constraints. The signal is the quantization plus format plus runtime stack and the tradeoffs you accept under tight memory and battery budgets.
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