NVIDIA DCGM Collector: Deep GPU Monitoring For AI

GPU infrastructure is expensive and increasingly central to production workloads. Whether you’re running ML training jobs, inference serving, video transcoding, or HPC workloads, understanding what your GPUs are actually doing, and what’s going wrong when performance degrades, is not optional. The problem is that NVIDIA’s Data Center GPU Manager (DCGM) exposes an enormous amount of telemetry, but getting that data into a monitoring system in a useful, organized way has traditionally required significant setup and custom dashboarding work.