Optimize power consumption for edge AI inference
Edge AI inference workloads consume significant power on resource-constrained devices. Optimizing power-performance characteristics through dynamic workload scheduling, thermal-aware throttling, and battery-level policies reduces energy consumption and extends battery life while maintaining acceptable accuracy and latency.