AI RESEARCH
AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime
arXiv CS.AI
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ArXi:2604.14661v1 Announce Type: cross Edge AI model deployment is a multi-stage engineering process involving model conversion, operator compatibility handling, quantization calibration, runtime integration, and accuracy validation. In practice, this workflow is long, failure-prone, and heavily dependent on deployment expertise, particularly when targeting hardware-specific inference runtimes. This technical report presents AIPC (AI Porting Conversion), an AI agent-driven approach for constrained automation of AI model deployment.