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 3010 overall):
- Mohammad Rizk, Shadi Ibrahim, Thomas Lambert. ALTOCUMULUS: Enabling Efficient Erasure Coding in IPFS. CCGrid 2026 - The 26th IEEE International Symposium on Cluster, Cloud, and Internet Computing, May 2026, Sydney, Australia. hal-05577974 view on HAL pdf
- Mai Huong Do, Millian Poquet, Georges da Costa. FedE-ator : A framework for energy consumption analysis of federated learning in distributed systems. Compas’2025 : Parallélisme / Architecture/ Système, Jul 2025, Bordeaux, France. hal-05181877 view on HAL pdf
- Baptiste Jonglez, Matthieu Simonin, Jolan Philippe, Sidi Mohammed Kaddour. Multi-provider capabilities in EnOSlib: driving distributed system experiments on the edge-to-cloud continuum. DAIS 2025: 25th International Conference on Distributed Applications and Interoperable Systems, Jun 2025, Lille, France. pp.25-42, 10.1007/978-3-031-95728-4_2. hal-05052776 view on HAL pdf
- Khaled Arsalane. Scalable data stream processing in heterogenous environments. Other cs.OH. Université de Rennes, 2025. English. NNT : 2025URENS105. tel-05651478 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
Grid'5000 sites
Current funding
INRIA |
CNRS |
UniversitiesIMT Atlantique |
Regional councilsAquitaine |

