NVIDIA Data Center GPU Manager
NVIDIA Data Center GPU Manager: A specialized Linux toolkit for operating NVIDIA GPUs across data-center and cluster environments. Ranked #4 of 59 in Hardware Monitoring Software by our editors (8.8/10); pricing: Free plan; best for NVIDIA data-center GPU operations.
At a glance
- Editor score8.8 / 10
- PricingFree plan
- Best forNVIDIA data-center GPU operations
- Free planYes
- Paid fromFree
- Remote monitoringYes
- Founded1993 · Santa Clara, California, United States
- Facts checked24 Sep 2026

Where it wins
- Detailed telemetry for utilization, temperature, power, clocks, and errors
- Health monitoring, diagnostics, policies, configuration, and workload statistics
- Prometheus, Kubernetes, Helm, and multiple programming-language APIs
Where it doesn't
- Focused on Linux systems with NVIDIA GPUs
- Some diagnostics and tests remain proprietary
- Deployment targets bare-metal or full-passthrough virtualized environments
Our verdict on NVIDIA Data Center GPU Manager
NVIDIA Data Center GPU Manager (DCGM) is a host-level software suite for monitoring, validating, managing, and integrating NVIDIA GPUs in data-center and cluster environments. It is designed for infrastructure teams, system administrators, application developers, and operators responsible for NVIDIA GPU-based systems. The suite combines command-line tools, libraries, monitoring capabilities, diagnostics, policy management, configuration controls, profiling, workload accounting, and APIs in a Linux-focused package.
DCGM fits environments built around Prometheus and Kubernetes. Its Prometheus-compatible DCGM Exporter supports centralized monitoring, while Kubernetes deployment is available through Helm or NVIDIA GPU Operator. Integration options also include Bright Cluster Manager and IBM Spectrum LSF. C, C++, Python, and Go APIs provide paths for custom tooling, and remote monitoring, custom sensors, and console, file, or callback notifications extend its operational use. Support for Linux on x86_64 and aarch64 (sbsa), plus bare-metal or full-passthrough virtualized environments, defines its platform scope.
Its strongest case is detailed NVIDIA GPU operations rather than broad, hardware-neutral monitoring. Telemetry covers utilization, temperature, power, clocks, errors, and other fields; active health monitoring, system validation, policy thresholds, GPU configuration, power or clock management, and GPU, process, and job statistics add operational depth. NVSwitch and NVLink monitoring further suit interconnected GPU systems. DCGM is open-core: foundational libraries and building blocks are open source, while some diagnostics and tests remain proprietary. Choose it for specialized NVIDIA infrastructure with Linux and established observability or cluster tooling; consider a broader hardware-monitoring product for mixed environments or non-NVIDIA systems.
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NVIDIA Data Center GPU Manager pricing
NVIDIA Data Center GPU Manager fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Supported platforms | Linux; API; self-hosted |
| Remote monitoring | Yes |
| Monitored device limit | Not verified |
| Sensor history | Not verified |
| Alert channels | Not verified |
| Custom sensor support | Not verified |
| Deployment | Self-hosted |
| Platforms | Linux |
| Support | Docs, Community |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 2 integrations: Kubernetes, Prometheus |
| Pricing | Free plan |
| Website | developer.nvidia.com |
| Facts checked | 24 Sep 2026 |
NVIDIA Data Center GPU Manager integrations
NVIDIA Data Center GPU Manager lists 2 integrations on its own site.
- Kubernetes
- Prometheus
Alternatives to NVIDIA Data Center GPU Manager
- GlassmkrFree monitoring for Linux hardware, with hosted simplicity or self-hosted control.9.3
- Supermicro SuperDoctor 5A free, focused monitor for Supermicro server health, alerts, logs, and remote power control.9.2
- HWiNFOA deep Windows diagnostics suite for users who need detailed sensors, reports, and alerts.9.1
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NVIDIA Data Center GPU Manager vs the competition
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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