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

This post details the construction of a per-alarm analysis AI agent for industrial alarm management using NVIDIA Nemotron open models and the NVIDIA OpenShell secure runtime. It describes the agent's workflow: gathering context from structured (SQL, data warehouses) and unstructured (playbooks, manuals) sources using NVIDIA NeMo Retriever and Apache Vanna, performing specialist metric checks (e.g., anomaly detection, Fourier analysis) with GPU-accelerated libraries (cuDF, cuVS, cuFFT, cuML), and iteratively synthesizing observations, root-cause hypotheses, remedies, and recommended actions. The agent is exposed via a single HTTP endpoint for seamless workflow integration and leverages agent orchestration and sandboxed execution via OpenShell for enterprise deployment. The post highlights the use of Nemotron 3 Nano for orchestration and Nemotron 3 Super for complex reasoning, with optimized NIM containers for low-latency inference.