Development of a study to measure and foster energy efficient and low emission artificial intelligence in the EU

Procurement description - explore the current and expected carbon footprint of AI; - develop a measurement framework which could serve as a basis to address the energy related objectives of the AI Act and also to develop a potential AI energy and emission label; - identify the suitable governance and …

CPV: 73000000 Servicios de investigación y desarrollo y servicios de consultoría conexos
Lugar de ejecución:
Development of a study to measure and foster energy efficient and low emission artificial intelligence in the EU
Organismo adjudicador:
European Commission, DG CNECT - Communications Networks, Content and Technology
Número de premio:
EC-CNECT/2024/OP/0066

1. Buyer

1.1 Buyer

Official name : European Commission, DG CNECT - Communications Networks, Content and Technology
Legal type of the buyer : EU institution, body or agency
Activity of the contracting authority : General public services

2. Procedure

2.1 Procedure

Title : Development of a study to measure and foster energy efficient and low emission artificial intelligence in the EU
Description : Procurement description - explore the current and expected carbon footprint of AI; - develop a measurement framework which could serve as a basis to address the energy related objectives of the AI Act and also to develop a potential AI energy and emission label; - identify the suitable governance and implementation for the measurement framework and; - identify promote energy-efficient and low emission AI best practices through an online repository. Justification: AI has a strong potential to solve environmental problems. However, despite its high potential to the environmental and climate crisis, training and executing algorithms imply high- energy consumption and carbon emissions. This environmental impact will increase overtime as the volume of data transferred and stored and the development of AI applications will continue to grow exponentially in the years to come. This study supports the understanding of the issues involved in measuring the environmental impact of the use of AI while identifying possible approaches to incentivising the use of green AI by developers mitigating it.
Procedure identifier : 2fb0ee23-64ae-491b-9b0a-d26ff93f9a9b
Previous notice : 471495-2024
Internal identifier : EC-CNECT/2024/OP/0066
Type of procedure : Open
Justification for the accelerated procedure :
Main features of the procedure :

2.1.1 Purpose

Main nature of the contract : Services
Main classification ( cpv ): 73000000 Research and development services and related consultancy services

2.1.3 Value

Estimated value excluding VAT : 425 000 Euro

2.1.4 General information

Legal basis :
Regulation (EU, Euratom) 2018/1046

5. Lot

5.1 Lot technical ID : LOT-0001

Title : Development of a study to measure and foster energy efficient and low emission artificial intelligence in the EU
Description : Procurement description - explore the current and expected carbon footprint of AI; - develop a measurement framework which could serve as a basis to address the energy related objectives of the AI Act and also to develop a potential AI energy and emission label; - identify the suitable governance and implementation for the measurement framework and; - identify promote energy-efficient and low emission AI best practices through an online repository. Justification: AI has a strong potential to solve environmental problems. However, despite its high potential to the environmental and climate crisis, training and executing algorithms imply high- energy consumption and carbon emissions. This environmental impact will increase overtime as the volume of data transferred and stored and the development of AI applications will continue to grow exponentially in the years to come. This study supports the understanding of the issues involved in measuring the environmental impact of the use of AI while identifying possible approaches to incentivising the use of green AI by developers mitigating it.
Internal identifier : EC-CNECT/2024/OP/0066

5.1.1 Purpose

Main nature of the contract : Services
Main classification ( cpv ): 73000000 Research and development services and related consultancy services

5.1.3 Estimated duration

Duration : 42 Month

5.1.5 Value

Estimated value excluding VAT : 425 000 Euro

5.1.6 General information

Procurement Project fully or partially financed with EU Funds.
The procurement is covered by the Government Procurement Agreement (GPA) : no

5.1.10 Award criteria

Criterion :
Type : Quality
Name :
Description : Please consult the procurement documents.
Weight (percentage, exact) : 60
Criterion :
Type : Price
Name :
Description : Please consult the procurement documents.
Weight (percentage, exact) : 40
Description of the method to be used if weighting cannot be expressed by criteria :
Justification for not indicating the weighting of the award criteria :

5.1.15 Techniques

Framework agreement :
No framework agreement
Information about the dynamic purchasing system :
No dynamic purchase system

5.1.16 Further information, mediation and review

Review organisation : Court of Justice of the European Union
Organisation signing the contract : European Commission, DG CNECT - Communications Networks, Content and Technology
TED eSender : European Commission

6. Results

Value of all contracts awarded in this notice : 384 120 Euro

6.1 Result lot ldentifier : LOT-0001

At least one winner was chosen.

6.1.2 Information about winners

Winner :
Official name : d-fine GmbH
Tender :
Tender identifier : d-fine GmbH
Identifier of lot or group of lots : LOT-0001
Contract information :
Identifier of the contract : LC-03544534
Date on which the winner was chosen : 24/10/2024
Date of the conclusion of the contract : 04/11/2024
The contract is awarded within a framework agreement : no
Organisation signing the contract : European Commission, DG CNECT - Communications Networks, Content and Technology

6.1.4 Statistical information

Received tenders or requests to participate :
Type of received submissions : Tenders submitted electronically
Number of tenders or requests to participate received : 6

8. Organisations

8.1 ORG-0001

Official name : European Commission, DG CNECT - Communications Networks, Content and Technology
Registration number : COM
Department : CNECT.A - Artificial Intelligence Office,CNECT.A.2 - Artificial Intelligence Regulation and Compliance
Postal address : Rue de la Loi 200, Wetstraat 200
Town : Brussels
Postcode : B-1049
Country subdivision (NUTS) : Arr. de Bruxelles-Capitale/Arr. Brussel-Hoofdstad ( BE100 )
Country : Belgium
Telephone : +32 2 299 11 11
Roles of this organisation :
Buyer
Organisation signing the contract

8.1 ORG-0002

Official name : Court of Justice of the European Union
Registration number : CURIA
Postal address : Rue du Fort Niedergrünewald
Town : Luxembourg
Postcode : L-2925
Country subdivision (NUTS) : Luxembourg ( LU000 )
Country : Luxembourg
Telephone : +352 4303-1
Internet address : http://curia.europa.eu
Roles of this organisation :
Review organisation

8.1 ORG-0003

Official name : European Commission
Registration number : EUCOM
Postal address : Mondrian (CDMA), Rue du Champ de Mars 21
Town : Brussels
Postcode : B-1050
Country subdivision (NUTS) : Arr. de Bruxelles-Capitale/Arr. Brussel-Hoofdstad ( BE100 )
Country : Belgium
Telephone : +32 2 299 11 11
Roles of this organisation :
TED eSender

8.1 ORG-0004

Official name : d-fine GmbH
Registration number : DE813483155
Postal address : An der Hauptwache 7
Town : Frankfurt am Main
Postcode : 60313
Country subdivision (NUTS) : Extra-Regio NUTS 3 ( DEZZZ )
Country : Germany
Telephone : +4969907370
Roles of this organisation :
Tenderer
Winner of these lots : LOT-0001

11. Notice information

11.1 Notice information

Notice identifier/version : 31aaab2b-b46e-4dc9-ae1e-a91292a7055a - 01
Form type : Result
Notice type : Contract or concession award notice – standard regime
Notice dispatch date : 04/11/2024 11:31 +01:00
Languages in which this notice is officially available : English

11.2 Publication information

Notice publication number : 00669675-2024
OJ S issue number : 215/2024
Publication date : 05/11/2024