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 3047 overall):
- Justin Dachille, Aurora Rossi, Sunil Kumar Maurya, Frederik Mallman-Trenn, Xin Liu, et al.. Degree-Mass Message Passing for Betweenness Ranking in Directed and Undirected Networks. CIKM 2026 - International Conference on Information and Knowledge Management, Nov 2026, Rome, Italy. hal-05502800v2 view on HAL pdf
- Cédric Prigent. Towards Efficient and Trustworthy Federated Learning on the Computing Continuum. Machine Learning cs.LG. INSA de Rennes, 2025. English. NNT : 2025ISAR0003. tel-05279213 view on HAL pdf
- Matthieu Mouzaoui, Yufei Han, Grégory Blanc, Michel Hurfin, Gabriel Rilling. Towards problem space-constrained adversarial attacks against graph neural network based network intrusion detection systems. Rendez-Vous de la Recherche et de l'Enseignement de la Sécurité des Systèmes d'Information (RESSI), May 2025, Lanniron, France. hal-05478056 view on HAL pdf
- Celia Mahamdi, Jonathan Lejeune, Julien Sopena, Pierre Sens, Mesaac Makpangou. OMAHA: Opportunistic Message Aggregation for pHase-based Algorithms (extended version). Formal Aspects of Computing, 2024, 36, pp.1 - 23. 10.1145/3698593. hal-05003849 view on HAL pdf
- Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni. Variables Selection using a Novel Interactive Deep Reinforcement Learning Approach. Extraction et Gestion des Connaissances (EGC) 2025, Jan 2025, Strasbourg, France. hal-05333566 view on HAL pdf
Grid'5000 sites
Current funding
INRIA |
CNRS |
UniversitiesIMT Atlantique |
Regional councilsAquitaine |

