Building an Analysis AI Agent for Industrial Alarm Management with NVIDIA Nemotron | NVIDIA Technical Blog

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This post introduces an AI agent for industrial alarm management built using NVIDIA NeMo Agent Toolkit, Nemotron open models, and OpenShell secure runtime. The agent automates evidence gathering, specialist analysis, and action recommendation for industrial alarms. It integrates with GPU-accelerated libraries like cuDF, cuVS, cuFFT, and cuML for data handling and analysis. The agent uses Nemotron 3 Nano for orchestration and Nemotron 3 Super for reasoning, with optimized NIM containers for low-latency inference. It employs tools for accelerated retrieval of structured information (Text-2-SQL with Apache Vanna) and accelerated RAG with NVIDIA NeMo Retriever for unstructured data. Specialist checks include anomaly detection using NVIDIA nv-tesseract and OCR. The agent's output is a structured evidence package (observation, root-cause hypothesis, remedy, recommended action) and supporting trace, delivered via a single HTTP endpoint.