Comparison
Green Metrics Tool vs NVIDIA DCGM
Green Metrics Tool vs NVIDIA DCGM: Developer tool for measuring the energy and CO2 consumption of software through lifecycle analysis. NVIDIA's data…
AI Energy Monitoring · both listings verified
| Field | Green Metrics Tool Developer tool for measuring the energy and CO2 consumption of software through lifecycle analysis. | NVIDIA DCGM NVIDIA's data center GPU management toolkit with a Prometheus exporter for power and energy telemetry. |
|---|---|---|
| Pricing model | Freemium | Free |
| Pricing published | Public pricing | Public pricing |
| Starting price | Free | Free |
| Licensing | Open source | Open source |
| Pricing details | Available under AGPL-3.0 with a commercial licence option; the source can be self-hosted for free and Green Coding Solutions offers a free hosted measurement service. | The DCGM Exporter repository is released under the Apache License 2.0 and is free to use; container and package builds plus a Helm chart are provided in the repository. |
| Free tier | Yes | Yes |
| Assets covered | ||
| Platforms | Web, On-premise, Cloud | On-premise, Cloud |
| Region support | Global | Global |
| Compliance | Not stated | Not stated |
| API available | Yes | Yes |
| Last verified | 2026-10-22 | 2026-10-27 |
Editor's take on Green Metrics Tool
Fits engineering teams that want reproducible, configuration-as-code measurement of containerised software through a software life cycle analysis, with sensor providers for RAPL, IPMI, PSU, Docker and temperature and a timeline view for tracking a project over time. The trade-off is operational and legal: it orchestrates Docker scenarios and needs measurement hardware or access, and AGPL terms plus a commercial option mean redistribution and embedding deserve review. A free hosted service lowers the start-up barrier. Teams wanting lightweight instrumentation without orchestration effort should choose a simpler library.
Read the Green Metrics Tool listingEditor's take on NVIDIA DCGM
Fits GPU platform teams that already run Prometheus and want board power draw and cumulative energy counters from NVIDIA data-center accelerators, with a Helm chart, dashboards and documented metric names to scrape. The trade-off is scope and attribution: it supplies GPU telemetry from NVIDIA's own stack, so per-process or per-tenant attribution and any carbon conversion sit outside it, and it covers NVIDIA accelerators only. Health checks and diagnostics come through dcgmi. Teams with mixed-vendor fleets or needing emissions reporting should pair it with other instrumentation.
Read the NVIDIA DCGM listingJudgement is written by the editor. Paid placements never change the ranking or the recorded field values.
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