Carbon footprint estimator for AWS instances

Curious about the power consumption and carbon footprint of an EC2 instance? As part of the first Measure challenge, get an estimation below. This initiative is still a work in progress, data is provided as-is for open contribution purposes and without warranty.

Carbon footprint estimator for AWS instances

Let's go

1

Measure​

Define your EC2 workload and get its carbon footprint

2

Reduce​

Use this information to optimize your infrastructure

3

Share

Help us raise awareness around this challenge

Select your workload

Calculator
Hour(s)

Your Estimation

Detailed calculation for:
Scope 2
43.5

Watts
@50% load

x
1.2

PUE
for Asia Pacific (Singapore)

x
408.5

gCO₂eq/kWh
for Asia Pacific (Singapore)

1000
+
Scope 3
6.1

gCO₂eq
for r6g.2xlarge

x
24 Hour(s)
Just estimated the carbon footprint of my EC2 workload: for 24 hour(s) of r6g.2xlarge in ap-southeast-1 the result is 658.2 gCO₂eq (511.8 gCO₂eq for running the instance and 146.4 gCO₂eq for its manufacturing). Give it a try too!

Just estimated the carbon footprint of my EC2 workload: for 24 hour(s) of r6g.2xlarge in ap-southeast-1 the result is 658.2 gCO₂eq (511.8 gCO₂eq for running the instance and 146.4 gCO₂eq for its manufacturing). Give it a try too!

Raw data for one hour of computing:
Instance Load Idle 10% 50% 100%
Instance Estimated Power Consumption 18.7
Watts
28.9
Watts
43.5
Watts
61.2
Watts
Carbon Emissions from Running (Scope 2) 9.2
gCO₂eq
14.2
gCO₂eq
21.3
gCO₂eq
30
gCO₂eq
Carbon Emissions from Manufacturing (Scope 3) + 6.1
gCO₂eq

This estimator relies on a dataset published under a Creative Commons Attribution 4.0 International License aggregating EC2 specifications, power consumption and manufacturing footprint estimation data for each instance type.

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Instance Specifications

Release Date: December 2019
Instance vCPU: 8
Total vCPU: 64
Processor: Graviton2
Instance memory: 64GB
Total memory: 512GB
Storage type: EBS
GPU: N/A

Region information

Region slug: ap-southeast-1
Region name: Asia Pacific (Singapore)
Region country: Singapore
Electricity Carbon Intensity
408.5 gCO₂eq/kWh
Region PUE
1.2

Power Consumption

Estimated power consumed by an instance according to its load level (idle, 10% load, 50% load, 100% load). This number doesn’t include the PUE and only reflects the server consumption.

Scope 2

Carbon emissions related to running the instance, including the datacenter PUE

Scope 3

Carbon emissions related to manufacturing the underlying hardware