Industrial alarm management is a high-volume, repetitive task that AI agents can automate. This post describes an AI analysis agent built with NVIDIA NeMo libraries and Nemotron open models that takes a single alarm payload with sensor data and returns a structured evidence package including observation, root-cause hypothesis, remedy, and recommended action. The agent uses GPU-accelerated tools including cuDF for structured data retrieval, NeMo Retriever with RAG for unstructured playbooks, cuVS for past remedy search, and specialist subagents using cuFFT and cuML for anomaly detection. Nemotron 3 Nano handles simple orchestration while Nemotron 3 Super handles complex reasoning. Security is enforced via NVIDIA OpenShell's sandboxed runtime with declarative YAML policies. The agent is exposed as a single HTTP endpoint and can be deployed using the NVIDIA AI-Q Blueprint, NeMo Agent Toolkit, and NIM containers.
