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AI Carbon Footprint Calculator Explore the future of sustainability with our AI Carbon Footprint Calculator. A tool that empowers you to measure the environmental impact of projects with precision, backed by the latest research. Make informed decisions and pave the way for a sustainable future. Measure Green, Build Clean
Key Features
Measurable Comparative analysis of AI models or algorithms based on environmental impact
Rating score Scoring output with actionable insights
Recommendations Suggestions and recommendations for optimizing AI projects to reduce carbon emissions
4 Key Sections to Calculate AI Carbon Footprint The four sections below provide a comprehensive toolkit to assess carbon footprint of AI projects, offering a holistic view of environmental impact and opportunities for sustainability improvements. Click arrows to find out more. The geographical location of your project, operation, or initiative. Location data is crucial because environmental factors and energy sources can vary significantly from one region to another, impacting the carbon footprint. The purpose and application of AI within the project. How AI is utilized, whether it's for optimizing energy consumption, emissions reduction, or other sustainability goals. Understanding the use case helps tailor the analysis and recommendations to align with specific objectives. Focuses on the hardware and software resources required to run AI models. Details about their computing infrastructure, such as server specifications, data storage, and energy efficiency measures. This data is vital in accurately estimating the energy consumption associated with AI processing. Focuses on the AI Model you have selected to use for your AI project. Select the most appropriate AI model for your data and objectives, ensuring accurate carbon footprint calculations.
How to Use the AI Carbon Footprint Calculator Step 1 Fill out the multiple choice questions Step 2 Submit your answers Step 3 Discover your overall score ranked across 4 categories Step 4 Download your personalised report Step 5 Contact our specialised team to optimise your AI journey and provide detailed recommendations. AI Carbon Footprint Calculator
Infrastructure Focuses on the hardware and software resources required to run AI models. Details about their computing infrastructure, such as server specifications, data storage, and energy efficiency measures. This data is vital in accurately estimating the energy consumption associated with AI processing.
Model Focuses on the AI Model you have selected to use for your AI project. Select the most appropriate AI model for your data and objectives, ensuring accurate carbon footprint calculations.
Use Case The purpose and application of AI within the project. How AI is utilized, whether it's for optimizing energy consumption, emissions reduction, or other sustainability goals. Understanding the use case helps tailor the analysis and recommendations to align with specific objectives.
Location The geographical location of your project, operation, or initiative. Location data is crucial because environmental factors and energy sources can vary significantly from one region to another, impacting the carbon footprint.
Your results Based on the answers given, these are your results.
  • The score is weighted against 4 categories; Model, Infrastructure, Location, Use Case. Each category carries a different weight dependant on the specific impact to overall carbon footprint score.
  • Depending on the phase of the project lifecycle there are some factors which may not be changeable (I.e Location, Use Case etc)
  • This AI carbon footprint calculator takes into account published research and metrics
  • Your score is , this is a LOW carbon footprint. Your score is , this is a MEDIUM carbon footprint. Your score is , this is a HIGH carbon footprint. The score is weighted against 4 categories; Model, Infrastructure, Location, Use Case. Each category carries a different weight dependant on the specific impact to overall carbon footprint score. Depending on the phase of the project lifecycle there are some factors which may not be changeable (I.e Location, Use Case etc) This AI carbon footprint calculator takes into account published research and metrics
    Location Your location is low carbon emitting overall. This may be a factor that may not change Location Your location is medium carbon emitting overall. This may be a factor that may not change Location Your location is high carbon emitting overall. This may be a factor that may not change
    Infrastructure Your infrastructure choices are low carbon emitting Infrastructure Your infrastructure choices are medium carbon emitting Infrastructure Your infrastructure choices are high carbon emitting
    Use case Your use case is low carbon emitting Use case Your use case is medium carbon emitting Use case Your use case is high carbon emitting
    Model Your model choice is low carbon emitting Model Your model choice is medium carbon emitting Model Your model choice is high carbon emitting
    1-3 Low Your project is going to or is operating at optimal capacity with low carbon emissions overall. There may be some areas of optimisation available.
    4-7 Medium Your project is going to or is emitting carbon through operations and there may be some areas of optimisation available
    8-10 High Your project is going to or is emitting high carbon through its operations which is negatively impacting the environment, this may be caused by several factors namely the use case type. There are areas of optimisation available.
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    Your results Please go back and answer all the questions above so we can calculate your results. Go to missing answers
    Contact us If you would like to further discuss your results and lower you impact on the environment, we have a specialised team of experts who can provide tailored solutions for AI projects and recommendations on how to lower your carbon footprint. Get in touch The Team Enter your details to get your report * Required This publication has been written in general terms and we recommend that you obtain professional advice before acting or refraining from action on any of the contents of this publication. Deloitte MCS Limited accepts no liability for any loss occasioned to any person acting or refraining from action as a result of any material in this publication.
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