Hardware
How to Choose Full-Stack Observability for NVIDIA AI Factories
A full‑stack observability framework for NVIDIA AI factories links telemetry from compute, networking, storage, orchestration and application layers using specialized tools (DCGM, NVSM, UFM, NetQ, NMX
A full‑stack observability framework for NVIDIA AI factories links telemetry from compute, networking, storage, orchestration and application layers using specialized tools (DCGM, NVSM, UFM, NetQ, NMX, BCM, Run:ai, NIM). It emphasizes minimal tool overlap, actionable alerts tied to SLO/SLI metrics, and unified Prometheus/Grafana dashboards, while best practices mandate one dedicated monitoring tool per domain, clear ownership of critical alerts, and measurable maturity defined by quickly pinpointing failing components before significant compute loss. The framework is illustrated through a 3‑day distributed training scenario where throughput drop was traced to an InfiniBand link failure using the integrated telemetry stack.
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Source: NVIDIA Developer | 2026-08-12