Grid5000:Home
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Grid'5000 is a precursor infrastructure of SLICES-FR, the French node of SLICES-RI, Scientific Large Scale Infrastructure for Computing/Communication Experimental Studies.
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Grid'5000 is a large-scale and flexible testbed for experiment-driven research in all areas of computer science, with a focus on parallel and distributed computing, including Cloud, HPC, Big Data and AI. Key features:
Older documents:
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Most recent news
Dear users, Due to multiple occurences of bad usages of the access machine, the technical team has decided to change the SSH connection mode to the...
Dear users, We are pleased to announce that Debian 13 (Trixie) std environment is now the default environment on most nodes. See `kaenv3 -l debian%...
Dear users, The default standard environment has changed to Debian 13 for some selected clusters over the past few weeks. Here they are: Hello everyone, Let's start with a quick TLDR, details on the rationale and implementation are available below: new modules will be available with ... |
Random pick of publications
Five random publications that benefited from Grid'5000 (at least 3048 overall):
- Romain Fontaine, Christine Solnon. Experimental study of the impact of time window generation on solver performance for the TSPTW. ROADEF 2026 - 27ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Université de Tours, Feb 2026, Tours, France. hal-05712919 view on HAL pdf
- Natalia Tomashenko, Emmanuel Vincent, Marc Tommasi. Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization. 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Apr 2025, Hyderabad, India. 10.1109/ICASSP49660.2025.10887896. hal-04853872 view on HAL pdf
- Cherif Latreche, Nikos Parlavantzas, Hector A Duran-Limon. Do We Need Reinforcement Learning for Serverless Scheduling at the Edge? A Comparative Evaluation. 25th IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2026), Jul 2026, Hambourg, Germany. hal-05626844v2 view on HAL pdf
- Jérémie Rodez, Patricia Stolf, Thierry Monteil. Placement of Distributed Machine Learning Services for AI- and Smart Grid-Enabled IoT Platforms. 2026. hal-05279358 view on HAL pdf
- Fabien Mathieu, Alexandre Pham, Maria Gradinariu Potop-Butucaru, Sébastien Tixeuil. Stream Learning: Partition-Fair Gossip Learning Without Tokens. SSS 2026, 28th International Symposium on Stabilization, Safety, and Security of Distributed Systems, Oct 2026, Gothenburg, Sweden. hal-05712696 view on HAL pdf
Grid'5000 sites
Current funding
INRIA |
CNRS |
UniversitiesIMT Atlantique |
Regional councilsAquitaine |

