NVIDIA Data Center GPU Manager

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Score5.7

Rank#38 of 58

PriceFree

Free planYes

Runs onAPI, Linux, Self-hosted

Summary

NVIDIA Data Center GPU Manager is ranked #38 of 58 in hardware monitoring software on Everything Xiaomi, made by NVIDIA Data Center GPU Manager (Santa Clara, California, United States). It runs on API, Linux, Self-hosted. There is a free plan.

NVIDIA Data Center GPU Manager plans and pricing

All plans

DCGM open-source product Free Foundational libraries and building blocks are open source; some features, including diagnostics and tests, remain proprietary. developer.nvidia.com · 4 Oct 2026

Compared on hardware monitoring software

Supported platforms: Linux on x86_64 and aarch64 (sbsa); bare-metal or full-passthrough virtualized environmentsdeveloper.nvidia.com
Remote monitoring: Yesdeveloper.nvidia.com
Alert channels: console, file, callbackdeveloper.nvidia.com
Custom sensor support: Yesdeveloper.nvidia.com

Facts

Free plan: Yesdeveloper.nvidia.com · 24 Sept 2026
Purpose: DCGM provides tools for managing and monitoring NVIDIA data center GPUs in cluster environments.developer.nvidia.com · 4 Oct 2026
Health and diagnostics: It includes active health monitoring, diagnostics, system alerts, and power and clock management policies.developer.nvidia.com · 4 Oct 2026
Telemetry: DCGM collects GPU telemetry to help explain job behavior, utilization, and application performance issues.developer.nvidia.com · 4 Oct 2026
Low overhead: Its active health monitoring is described as low-overhead and non-invasive while jobs run.developer.nvidia.com · 4 Oct 2026
Kubernetes and Prometheus: DCGM-Exporter provides GPU telemetry in Kubernetes environments, and NVIDIA lists out-of-the-box integration with Prometheus.developer.nvidia.com · 4 Oct 2026
Other integrations: NVIDIA lists Bright Cluster Manager and IBM Spectrum LSF among its integrations with management and scheduling tools.developer.nvidia.com · 4 Oct 2026
APIs: The installer packages include C and Python API examples, and NVIDIA links to open-source Go bindings.developer.nvidia.com · 4 Oct 2026
Operating modes: DCGM can run as a service through HostEngine or be incorporated directly into a standalone application.developer.nvidia.com · 4 Oct 2026
Operating system and architecture: The product page lists Linux support for x86_64 and aarch64 (sbsa).developer.nvidia.com · 4 Oct 2026
GPU support: The current getting-started guide lists NVIDIA Kepler and newer data center GPUs, plus Maxwell and newer non-data-center GPUs, with some feature availability varying by GPU class.docs.nvidia.com · 4 Oct 2026
Deployment requirements: The getting-started guide specifies at least 16 GB of host memory and a minimum number of CPU cores equal to the number of GPUs.docs.nvidia.com · 4 Oct 2026
Security limitation: DCGM does not add authentication, authorization, or encryption to its TCP protocol, and NVIDIA advises keeping TCP access on a trusted management network.docs.nvidia.com · 4 Oct 2026
Intended users: NVIDIA describes infrastructure teams using DCGM standalone or integrating it with cluster management, scheduling, and monitoring products.developer.nvidia.com · 4 Oct 2026