Muhammad Assad Ullah

EdgePulse: A Runtime Observability Framework for Quantized Large Language Models on Consumer Edge Devices

On-device AI execution lacks unified runtime observability across mobile platforms. Existing tools focus on isolated model profiling or single-engine metrics and give no synchronized view of memory, thermal state, battery draw, and inference latency during real workloads. We present EdgePulse, an open-source runtime ob...