About Carbon Footprint Estimator

Estimate carbon footprint of computation and energy usage. Part of the DevTools Surf developer suite. Browse more tools in the Developer Utilities collection.

Use Cases

• Estimate the carbon cost of cloud infrastructure for sustainability reporting
• Compare regional data center locations by energy mix and carbon intensity
• Calculate compute emissions for an AI model training run
• Quantify carbon savings from a cloud migration or right-sizing exercise

Tips

• Select your cloud provider and data center region — energy mix varies significantly: us-east-1 (Virginia) runs heavily on fossil fuel, while eu-west-1 (Ireland) uses more renewable energy
• The compute hours input accepts vCPU-hours — multiply your instance count by vCPUs per instance by hours running to get the total
• Toggle the carbon offset mode to see what reforestation or renewable energy certificate purchases would neutralize the estimate

Fun Facts

• Data centers consumed an estimated 200-250 TWh of electricity globally in 2022 — about 1% of global electricity use. Despite a 10x increase in data center workloads since 2010, energy use grew only 6% due to efficiency improvements.
• Training GPT-3 is estimated to have generated about 552 tonnes of CO2 — roughly equivalent to 300 transatlantic flights. Inference, done billions of times daily, has a much smaller per-query footprint but accumulates at scale.
• The Power Usage Effectiveness (PUE) metric, introduced by The Green Grid in 2007, measures data center efficiency. The global average PUE is about 1.58; hyperscalers like Google and Meta achieve 1.1-1.2.

FAQ

How is cloud carbon footprint calculated?

Typically: compute hours * power draw per vCPU * PUE * regional grid carbon intensity (gCO2/kWh). The carbon intensity factor varies from near-zero (hydro-heavy regions) to high (coal-heavy regions).

Is cloud more efficient than on-premises servers?

Generally yes — hyperscaler data centers have PUE of 1.1-1.2 vs industry average of ~1.6 for enterprise data centers, and use renewable energy more aggressively. Consolidating workloads to cloud typically reduces carbon footprint by 65-80%.

What is Scope 1, 2, and 3 emissions for software companies?

Scope 1: direct emissions (diesel generators). Scope 2: purchased electricity (data center power). Scope 3: indirect emissions (employee commuting, supply chain, customer device energy to run your software). Most software companies' significant footprint is Scope 2 and 3.