Model energy spend for compute, storage, and networking. Tune usage hours, efficiency, and carbon intensity. See totals instantly, then download clean CSV and PDF.
| Scenario | Instances | Power (W) | Util (%) | Hours | Storage (GB) | Egress (GB) | PUE | Rate ($/kWh) | Estimated kWh | Estimated cost |
|---|---|---|---|---|---|---|---|---|---|---|
| Dev stack | 2 | 70 | 20 | 360 | 200 | 50 | 1.20 | 0.12 | ~ 62.3 | ~ $7.48 |
| Prod API | 8 | 95 | 55 | 730 | 1200 | 800 | 1.30 | 0.16 | ~ 767.5 | ~ $122.80 |
| Analytics batch | 20 | 120 | 65 | 240 | 5000 | 150 | 1.15 | 0.10 | ~ 524.9 | ~ $52.49 |
These examples are illustrative. Real values depend on hardware, cooling design, storage media, and network path length.
Effective instance power accounts for idle draw and utilization.
IT energy is converted to facility energy using PUE.
Data egress is converted with a kWh/GB factor.
Renewable share reduces the emissions portion.
If you already have measured kWh from monitoring, set power values to match observations and use this tool for scenario planning.
Electricity prices, grid carbon intensity, and facility efficiency vary widely by geography. Even with identical workloads, a higher rate per kWh or a higher PUE can shift monthly energy spend materially. Use the region label to keep scenarios organized when you compare options in planning notes and reports.
PUE converts IT energy into total facility energy. A PUE of 1.20 means 1 kWh delivered to servers implies about 1.20 kWh at the meter, covering cooling, power distribution losses, and building systems. If you use an additional cooling share, treat it as an extra margin for conservative budgeting or uncertain site data.
In many environments, instances consume a meaningful portion of their power even at low utilization. The idle factor models that baseline, while utilization adds the variable component. The sensitivity chart shows how energy cost rises as utilization increases, holding storage, networking, and facility assumptions constant.
Storage energy is modeled as watts per TB, scaled by stored GB and replica count. Because storage is typically always on, the hours-per-month input matters more than peak utilization. Replication multiplies that footprint, which is useful when comparing durability levels or backup tiers.
The kWh-per-GB factor can look tiny, yet high egress volumes and overhead can make it non-trivial. Use the overhead percentage to represent routing, edge services, or long-haul paths. This is especially relevant for media delivery, analytics exports, and cross-region replication.
Emissions are estimated from total kWh and carbon intensity, reduced by renewable share. To lower cost and carbon together, combine right-sizing, better utilization, storage lifecycle policies, and reduced egress. Export CSV or PDF outputs to share a consistent baseline with finance and sustainability teams.
Start with measured host power if you have it. Otherwise use a conservative estimate based on instance family and expected CPU/GPU load, then calibrate using observed kWh from monitoring.
This calculator applies PUE to compute and storage IT energy, then adds networking separately. Many network components sit outside a single facility boundary, so modeling it independently can be clearer.
Use a grid-average value for the region you are evaluating, or your provider’s published location-based figures if available. Keep the same source across comparisons to avoid bias.
Servers rarely drop to zero watts when idle. The idle factor captures baseline draw from memory, storage controllers, fans, and power supplies, improving realism at low utilization.
No. It estimates electricity cost and emissions, not provider charges. Combine it with your compute and storage pricing to understand how energy efficiency influences total cost of ownership.
Focus on right-sizing and turning off idle capacity. Reduce replica counts where acceptable, compress or tier storage, and minimize egress with caching, colocated services, and better data locality.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.