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Connect to the GPU server and run its vendor’s monitoring tool there: use nvidia-smi for a quick NVIDIA check, or AMD SMI’s monitor command on a system where AMD SMI is installed. For ongoing NVIDIA monitoring across one or more hosts, run DCGM Exporter on each GPU node and have Prometheus scrape its metrics endpoint.
Check GPU telemetry interactively over a remote shell
The monitoring command runs on the GPU host; your remote shell is simply how you reach that host. Connect using your organization’s approved remote-access method, then run the command for the GPU vendor.
NVIDIA: start with nvidia-smi
- Connect to the server that has the GPU.
- Run
nvidia-smi. - Check the fields available on that machine for utilization and temperature. The exact output and fields can vary by GPU and software version.
NVIDIA identifies nvidia-smi as an initial diagnostic check for confirming that the driver discovers the GPUs. If it does not show the expected device, investigate GPU and driver discovery before troubleshooting an exporter. See NVIDIA’s DCGM Exporter installation and troubleshooting guide.
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On an AMD system with AMD SMI installed, its CLI monitor options include temperature in Celsius, graphics and memory utilization, and VRAM use. The --watch INTERVAL option repeats output at the interval you specify in seconds. For example, use --watch 1 for a one-second interval if that cadence suits your check. Consult the installed version’s CLI help for the exact command form and available options; AMD’s AMD SMI CLI documentation describes the monitor options.
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Choose between a live check and retained metrics
| Approach | Useful for | What it provides |
|---|---|---|
| Vendor CLI on the GPU host | A quick check or short-lived observation | Current telemetry in terminal output; it does not, by itself, create centrally retained history. |
| DCGM Exporter scraped by Prometheus | Central collection for dashboards, historical views, or alerting | Selected NVIDIA DCGM fields exposed in Prometheus format for a Prometheus server to collect. |
AMD SMI’s documented CLI is a direct monitoring route. The cited AMD documentation does not establish an equivalent standardized Prometheus-exporter workflow, so do not assume the NVIDIA setup below applies to AMD GPUs.
Set up persistent NVIDIA monitoring with DCGM Exporter
DCGM Exporter converts selected DCGM telemetry fields to Prometheus exposition format. Its documented default listener is :9400, with metrics available at /metrics. The exporter runs on the GPU node; a Prometheus server on another host must be able to reach that node’s endpoint. See the DCGM Exporter command reference and installation guide.
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Pick a deployment that matches how you manage the host
- Host-managed server: NVIDIA documents a package-managed service or a standalone OCI container. These approaches fit a server managed directly rather than through Kubernetes.
- Kubernetes: NVIDIA documents deployment as a Helm-managed DaemonSet on selected GPU nodes. If the NVIDIA GPU Operator already manages the GPU software stack, its lifecycle is another documented route.
- More than one GPU node: Run an exporter on each node you want to monitor, and configure collection so Prometheus can reach each exporter.
Before deployment, check NVIDIA’s support guidance for the GPU, driver, DCGM, and exporter combination. NVIDIA pairs exporter releases with DCGM versions; a mismatched pairing may work, but is not tested or supported. For a separately managed host engine, the DCGM client library must be at least as new as that engine. That condition alone does not make an otherwise mismatched release pair supported.
Verify the endpoint locally, then from Prometheus
- On the GPU host, check that the exporter process or pod is running and that it listens on the expected port.
- On a host-managed installation, run
curl --fail http://localhost:9400/metricson the GPU node. A successful response should include metric names beginning withDCGM_. - For Kubernetes, follow NVIDIA’s guide to forward the exporter service before checking the endpoint locally.
- Make sure the Prometheus server can reach the endpoint over the network, and configure it to scrape the GPU node’s address and port. A local curl check does not prove remote network access.
Choose the metrics and collection cadence deliberately
The exporter exposes selected fields, so confirm that the fields you need are supported for the deployed GPU and software combination. NVIDIA’s guide includes examples for GPU utilization and framebuffer memory in MiB, as well as a five-second watch-group example for GPU temperature and board power. Treat that five-second value as a documented example, not a universal setting.
The guide documents a default collection interval of 30,000 ms, which can be configured. Each HTTP scrape returns the latest cached sample; it is not a new, independently stored measurement. Prometheus retention and scrape configuration determine how collected time series are recorded. See NVIDIA’s DCGM Exporter guide for field selection and configuration details.
Troubleshoot missing or incomplete metrics
Work from the GPU host outward so you can distinguish a device-discovery problem from an exporter, field, or network problem.
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- Confirm GPU discovery: Run
nvidia-smion the node. If the expected GPU is not visible there, address that before debugging DCGM Exporter. - Check the exporter: Confirm its process or Kubernetes pod is running, then inspect its logs for startup or collection errors.
- Check the endpoint: Verify the listener and port, then test
/metricslocally. If local access works but Prometheus cannot scrape it, investigate routing, firewall rules, and endpoint reachability. - Check field support: If the endpoint responds but a metric is absent, verify that the selected field is supported for the GPU/entity and software version in use.
- Check versions and host-engine access: Confirm the documented exporter/DCGM pairing. If using a separately managed host engine, also check client-library compatibility and the required remote transport.
- Check profiling requirements: Some profiling metrics have GPU-support and
SYS_ADMINrequirements. Do not assume they are available just because basic utilization or temperature metrics work.
NVIDIA’s troubleshooting sequence and compatibility notes are in its installation guide.
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Do not expose port 9400 broadly just to make scraping convenient. Restrict access to the Prometheus server and other required operators. NVIDIA documents TLS or basic authentication through the exporter’s --web-config-file option; consult the command reference for configuration details.
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Review container privileges before production deployment, particularly when enabling profiling fields. Protect runtime sockets, debug dumps, and profiling endpoints: diagnostic data may reveal host, process, or workload information. The appropriate network and runtime controls depend on how the exporter is deployed.
Quick Recap
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