Artificial Intelligence

Edge AI Deployment and Memory Management on NPUs

Dr. Alex Vance • Published Oct 24, 2026

Overview & Executive Summary

Modern enterprise architectures and high-concurrency production clusters demand rigorous validation when deploying advanced systems. This research paper examines Edge AI Deployment and Memory Management on NPUs within distributed production environments. As organizations scale their infrastructure to handle massive throughput, identifying bottlenecks in memory allocation becomes critical for sustaining predictable service-level objectives.

1. Architectural Topography & Control Plane

The underlying architectural topology relies on a decentralized control plane communicating via asynchronous message brokers and gRPC framing. By isolating the data plane from telemetry loops, we eliminate synchronization lock contention across worker threads.

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