GPU Health Monitor Configuration
Overview
The GPU Health Monitor module watches GPU health using NVIDIA DCGM (Data Center GPU Manager) and reports hardware failures. This document covers all Helm configuration options for system administrators.
DCGM Deployment Modes
The GPU Health Monitor supports three DCGM source modes, selected with global.dcgm.mode.
Operator Service
The GPU Operator runs DCGM as a DaemonSet and exposes it through a Kubernetes service. GPU Health Monitor pods connect to the service endpoint.
Characteristics:
- DCGM runs as a DaemonSet (one pod per GPU node)
- Kubernetes service provides DNS endpoint for DCGM
- GPU Health Monitor connects via service DNS name
External Hostengine
An externally managed hostengine runs on each GPU node. GPU Health Monitor pods use host networking and connect to the configured endpoint, which defaults to localhost:5555.
Characteristics:
- The hostengine lifecycle is managed outside NVSentinel
- No Kubernetes service needed
- GPU Health Monitor enables host networking automatically
Embedded Mode
GPU Health Monitor starts an in-process DCGM hostengine and exposes it to pod-local clients on a loopback endpoint.
Characteristics:
- No separate DCGM DaemonSet or service is needed
gpu-health-monitor.runtimeClassNamemust name the cluster’s NVIDIA RuntimeClass- The chart automatically sets
privileged: trueon the GPU Health Monitor container - The endpoint must be
localhost,127.0.0.1, or::1
Configuration Reference
Module Enable/Disable
Controls whether the gpu-health-monitor module is deployed in the cluster.
Resources
Defines CPU and memory resource requests and limits for the gpu-health-monitor pod.
Logging
Controls verbosity of gpu-health-monitor logs.
DCGM Configuration
Operator Service Mode
This is the default mode.
To use a service in another namespace, override its endpoint:
External Hostengine Mode
NVSentinel does not deploy the hostengine in this mode. The configured hostengine must already be running and reachable on every selected GPU node.
GPU Health Monitor enables host networking automatically in this mode.
Embedded Mode
runtimeClassName is required and must match an NVIDIA RuntimeClass installed in the cluster. The chart automatically sets the GPU Health Monitor container to privileged in embedded mode so the NVIDIA Container Toolkit can provide GPU and driver access; no separate security-context value is required.
Host Networking Override
external-hostengine enables host networking automatically. For other modes, it can be enabled explicitly when required by a custom deployment:
DCGM Health Check Incident Suppression
Drops DCGM health check incidents matching specific error codes before they generate a health event, so they are never persisted or acted on. Useful for high-frequency, non-actionable flaps (e.g. normal power-cap boost-clock behavior).
suppressedErrorCodes
List of DCGM error code names (as reported by DCGM, e.g. DCGM_FR_CLOCK_THROTTLE_POWER) to suppress. Empty by default (no suppression). Suppression is scoped to the listed error codes only — other incidents on the same health watch (e.g. other GpuPowerWatch error codes) are still reported.
Example: Suppress power-cap throttle flaps
Additional Volumes
Extension point for mounting additional host paths required by DCGM in specific environments.
Configuration Structure
Parameters
additionalVolumeMounts
List of volume mounts to add to the GPU Health Monitor container. Each mount specifies where a volume should be mounted inside the container.
additionalHostVolumes
List of host path volumes to make available to the pod. Each volume references a path on the host node.
When to Use Additional Volumes
Additional volumes are required in environments where DCGM needs access to GPU drivers or libraries installed in non-standard host locations.
Common scenarios:
- GCP GKE nodes with GPU drivers in
/home/kubernetes/bin/nvidia - Custom driver installation paths
Volume Mount Examples
Example 1: GCP GKE Configuration
GCP GKE installs NVIDIA drivers and Vulkan ICD files in custom locations that the DCGM SDK needs to access.