Challenge Inria OVHCloud End-to-end eco-design of a cloud to reduce its environmental impact End-to-end eco-design of a cloud to reduce its environmental impact
Inria teams involved AVALON, INOCS, MYRIADS, SPIRALS, STACK In partnership with OVH (co-responsable Germain Masse). Contacts Laurent Lefevre Scientific leader News Digital and environment © Inria / Photo C. Morel Embracing digital frugality: Inria gives a presentation at the OVHcloud Ecosystem Experience 05/11/2020 Press release ©Dmitry - stock.adobe.com ANR Distiller: How to reduce the environmental impact of cloud applications? 30/03/2022 Sébastien Jarry A look back at the first hackAtech Inria edition - Lille 2020 17/04/2020 Institute Inria invests in the PEPR Cloud by taking the role of co-pilot 04/11/2021 Industrial partnerships © Inria - E. Marcade Quobly and Inria combine their expertise to structure a sovereign quantum sector and accelerate scalability 16/07/2025 Digital and environment Romain Rouvoy “Promoting the development of more efficient software” 01/07/2019 Job opportunities Post-Doc in "Scientific Machine Learning and Mechanics for scale-bridging in granular materials" Deadline to apply 19/12/2025 Job opportunities PhD Position F/M Trustworthy AI-driven interpretation of malware attack behaviours Deadline to apply 09/12/2025 Job opportunities Scientific Machine Learning Engineer Deadline to apply 28/12/2025 Job opportunities Analogical reasoning for KG management tasks: Entity Alignment and GraphRAG Deadline to apply 01/01/2026 All news about the challenge
Digital and environment © Inria / Photo C. Morel Embracing digital frugality: Inria gives a presentation at the OVHcloud Ecosystem Experience 05/11/2020
Press release ©Dmitry - stock.adobe.com ANR Distiller: How to reduce the environmental impact of cloud applications? 30/03/2022
Industrial partnerships © Inria - E. Marcade Quobly and Inria combine their expertise to structure a sovereign quantum sector and accelerate scalability 16/07/2025
Digital and environment Romain Rouvoy “Promoting the development of more efficient software” 01/07/2019
Job opportunities Post-Doc in "Scientific Machine Learning and Mechanics for scale-bridging in granular materials" Deadline to apply 19/12/2025
Job opportunities PhD Position F/M Trustworthy AI-driven interpretation of malware attack behaviours Deadline to apply 09/12/2025
Job opportunities Analogical reasoning for KG management tasks: Entity Alignment and GraphRAG Deadline to apply 01/01/2026
