NVIDIA Server Integration
Connect your NVIDIA DGX, HGX, and EGX AI infrastructure to OxMaint's intelligent CMMS. Monitor GPU health in real-time via DCGM integration, predict hardware failures 7-21 days ahead, and maximize uptime for your AI workloads. Reduce GPU downtime by 45%.
Trusted by over 1000+ clients across the world
Enterprise Integration
How NVIDIA DCGM Works with OxMaint
OxMaint integrates directly with NVIDIA's Data Center GPU Manager (DCGM) to collect real-time telemetry from your entire GPU fleet. Our AI analyzes 100+ metrics per GPU to predict failures, automate maintenance, and maximize uptime for AI workloads.
NVIDIA DCGM → OxMaint AI Pipeline
NVIDIA GPUs
DGX / HGX / EGXDCGM Exporter
100+ MetricsOxMaint API
Data IngestionAI Analysis
PredictionsAuto Actions
Work OrdersKubernetes Native
DCGM Exporter container with Prometheus-compatible endpoints for K8s GPU clusters.
Bare Metal
Direct DCGM API integration for standalone DGX systems and HPC clusters.
Enterprise Security
TLS encryption, RBAC, audit logging. SOC 2 Type II compliant.
Live Monitoring
GPU Health Monitoring via DCGM
OxMaint integrates with NVIDIA's Data Center GPU Manager (DCGM) to provide comprehensive health monitoring across your entire GPU fleet. Track 100+ metrics per GPU including temperature, power consumption, memory utilization, clock speeds, and error counts—all in real-time.
GPU Temperature
Core, memory, and board thermal monitoring.
Power Consumption
Track watts per GPU and total rack power.
Memory Utilization
HBM usage, bandwidth, and allocation.
ECC Error Tracking
Correctable & uncorrectable memory errors.
NVLink Health
Inter-GPU interconnect status & bandwidth.
XID Error Detection
NVIDIA error codes decoded & alerted.
GPU Health Dashboard
DGX-01 GPU TEMPERATURES (H100 SXM)
5.6 kW
Power Draw78%
HBM Usage94%
UtilizationECC Memory Status
No uncorrectable errors detectedTelemetry Categories
100+ DCGM Metrics Monitored
OxMaint captures comprehensive GPU telemetry organized into key categories. Each metric is tracked historically, analyzed for anomalies, and used to drive predictive maintenance and automated alerts.
Thermal Metrics
GPU core, memory, board temperatures.
Power Metrics
Current, peak, limits, efficiency.
Utilization Metrics
SM, memory, encoder/decoder usage.
Reliability Metrics
ECC errors, XID events, throttling.
DCGM Metric Categories
Thermal
Temp, Throttle, FanPower
Watts, Limits, PUEThermal Metrics
Reliability Metrics
Artificial Intelligence
AI-Powered Predictive Maintenance
OxMaint AI analyzes historical GPU telemetry patterns to predict hardware failures 7-21 days in advance. Anticipate GPU degradation, memory failures, thermal issues, and power supply problems before they impact your AI workloads.
GPU Degradation
Detect declining performance patterns.
Memory Failure
ECC error trends predict HBM issues.
Thermal Anomalies
Identify cooling system degradation.
Power Supply Health
Predict PSU failures from power patterns.
NVLink Degradation
Interconnect bandwidth trend analysis.
Workload Correlation
Link AI jobs with hardware stress.
AI Predictive Insights
DGX-02 GPU #3 shows progressive temperature increase (+2.5°C/week). Cooling system inspection recommended.
DGX-03 GPU #7 elevated correctable ECC errors (127 → 342 in 30 days). Memory approaching end of life.
DGX-01 approaching 10,000 GPU-hours. Firmware update and thermal paste refresh recommended per NVIDIA guidelines.
Infrastructure Monitoring
Thermal & Power Management
Modern NVIDIA GPUs can draw 700W+ each, with DGX systems pushing 6-10kW per node. OxMaint monitors thermal conditions across your entire cooling infrastructure—from direct-to-chip liquid cooling to CRAC units—ensuring optimal temperatures and preventing thermal throttling.
Liquid Cooling
CDU flow rates, coolant temp, pressure.
Hotspot Detection
AI identifies thermal anomalies early.
HVAC Integration
CRAC/CRAH unit health tracking.
PUE Tracking
Power Usage Effectiveness monitoring.
Thermal Management Console
18°C
Cold Aisle Temp34°C
Hot Aisle TempCOOLING INFRASTRUCTURE
CDU-01 (Liquid Cooling)
Flow: 45 GPM | Delta T: 12°C | Pressure: 28 PSICRAC Unit A
Supply: 16°C | Return: 24°C | Fan: 85%CRAC Unit B
Supply: 17°C | Return: 26°C | Fan: 92%Power Usage Effectiveness
Industry-leading efficiency1.18
Full Ecosystem
Supported NVIDIA Systems
OxMaint integrates with the complete NVIDIA AI infrastructure ecosystem—from DGX SuperPOD clusters to EGX edge deployments. Full support for data center, cloud, and edge GPU environments across all current NVIDIA architectures.
DGX Systems
B200, B300, H100, H200, A100, Station.
HGX Platforms
HGX B200, B300, H100, H200.
SuperPOD & BasePOD
Enterprise-scale AI infrastructure.
EGX & Edge AI
EGX Platform, IGX Orin, Jetson.
NVIDIA Ecosystem Support
DGX Systems
SuperPOD & Enterprise
EGX & Edge AI
Intelligent Automation
Automated Work Order Generation
When GPU anomalies are detected or failures predicted, OxMaint automatically creates detailed work orders with full diagnostic context. Reduce mean time to repair by 60% with intelligent automation that gets the right information to the right technician immediately.
Auto-Triggered WOs
GPU alerts create tickets automatically.
Diagnostic Attachments
DCGM logs, error codes, telemetry.
Priority Routing
Critical issues to senior GPU techs.
Parts Forecasting
Auto-suggest replacement components.
Auto-Generated Work Order
GPU Thermal Alert - DGX-02 GPU #3
Temperature exceeded 80°C threshold (currently 82°C)ATTACHED DIAGNOSTICS
AI-SUGGESTED ACTIONS
David Chen
Sr. GPU Infrastructure TechClosed-Loop Maintenance
From GPU Alert to Resolution
OxMaint connects GPU monitoring directly to maintenance—when DCGM detects an issue, the system automatically triggers corrective actions through your CMMS with full diagnostic context.
GPU Alert
DCGM triggersAI Diagnosis
Root causeWork Order
Auto-createdRepair
Tech dispatchedVerified
GPU healthy60% Faster MTTR
Work orders include DCGM diagnostics, error logs, and suggested actions.
Full Traceability
Every GPU issue linked to root cause, repair history, and verification.
Continuous Learning
Historical data improves AI predictions and prevents recurring failures.
Proven GPU Infrastructure Results
AI infrastructure teams using OxMaint achieve measurable improvements in GPU uptime and efficiency.
45%
Less GPU Downtime
60%
Faster MTTR
99.7%
GPU Fleet Uptime
"OxMaint predicted a GPU memory failure 12 days before it happened on our DGX SuperPOD. Saved us $180K in potential downtime costs."
Cloud AI Provider
256 H100 GPUs
"DCGM integration gives us complete visibility into our GPU cluster. We went from reactive 'something broke' calls to proactive maintenance."
Research University
HPC with 64 A100s
"We're a small team managing 3 DGX systems. OxMaint's automated work orders mean we don't need dedicated operations staff."
AI Startup
3× DGX H100 Systems
"Thermal management alerts caught a cooling issue before any GPUs throttled. Our LLM training jobs run uninterrupted now."
Enterprise AI Team
DGX BasePOD
FAQ
Frequently Asked Questions
Everything you need to know about OxMaint's NVIDIA server integration and GPU infrastructure maintenance.
OxMaint integrates with NVIDIA's Data Center GPU Manager (DCGM) via the DCGM Exporter, which exposes GPU metrics in Prometheus format. For Kubernetes environments, we use the official NVIDIA DCGM Exporter container. For bare-metal deployments, we support direct DCGM API integration or custom metric exporters. Setup typically takes 15-30 minutes per cluster with our guided configuration wizard.
OxMaint monitors 100+ GPU metrics including: temperature (GPU core, memory, board), power consumption (current, peak, limits), memory utilization (used, free, bandwidth), clock speeds (SM, memory), ECC errors (correctable/uncorrectable), PCIe throughput, NVLink bandwidth and errors, compute utilization, encoder/decoder usage, XID errors, thermal throttling events, and fan speeds where applicable.
Yes, OxMaint fully supports liquid-cooled DGX systems including the latest Blackwell-based DGX B200 and B300. We monitor coolant distribution unit (CDU) metrics including flow rates, inlet/outlet temperatures, pressure differentials, and pump status. For direct-to-chip cooling systems, we track per-GPU coolant temperatures and alert on thermal anomalies that indicate cooling system degradation.
OxMaint's AI typically predicts GPU failures 7-21 days in advance, depending on the failure mode. Thermal degradation patterns are usually detectable 2-3 weeks ahead. Memory issues (via ECC error trends) can be predicted 1-4 weeks out. Power supply problems often show patterns 7-10 days before failure. Our prediction accuracy improves over time as the AI learns your specific workload patterns and infrastructure characteristics.
OxMaint scales from a single DGX Station to enterprise DGX SuperPOD deployments with thousands of GPUs. Our architecture is designed for high-volume telemetry ingestion, processing millions of metrics per minute. Pricing is based on the number of GPU nodes (systems) rather than individual GPUs, making it cost-effective for dense 8-GPU DGX systems. There are no hard limits on GPU count.
Most NVIDIA infrastructure integrations are completed within 1-2 weeks. Day 1-2: DCGM Exporter deployment and OxMaint connection. Day 3-5: Asset registration, threshold configuration, and alerting setup. Week 2: Team training, workflow optimization, and AI model calibration. Our team provides hands-on implementation support for enterprise deployments, including on-site assistance for large SuperPOD installations.
Maximize your GPU investment with AI maintenance.
Stop losing GPU compute time to unexpected failures. OxMaint connects NVIDIA DCGM telemetry to intelligent maintenance management for maximum uptime.
Join AI infrastructure teams already protecting their GPU investments with OxMaint.
