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, We are pleased to announce that Debian 13 (Trixie) std environment is now the default environment on most nodes. See `kaenv3...
Dear users, The default standard environment has changed to Debian 13 for some selected clusters over the past few weeks. Here the... Hello everyone, Let's start with a quick TLDR, details on the rationale and implementation are available below: new modules will be avail...
Recently, we have observed a critical increase in resource consumption (CPU and memory) on these nodes. This is primarily caused by VS Code Serv... |
Random pick of publications
Five random publications that benefited from Grid'5000 (at least 3009 overall):
- Ahmed Alharbi, Charles Bouillaguet. Lower bounds on the performance of hardware circuits computing the Möbius transform. 2026. hal-04896063v2 view on HAL pdf
- Cassandre Vey, Adrien van den Bossche, Réjane Dalcé, Georges da Costa, Olivier Negro, et al.. Experimenting IoT-Edge-Cloud- HPC Continuum on Existing Platforms. 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), IEEE, May 2025, Tromsø Norway, Norway. 10.1109/CCGridW65158.2025.00026. hal-05147272 view on HAL pdf
- Juliette Luiselli, Jonathan Rouzaud-Cornabas, Nicolas Lartillot, Guillaume Beslon. Genome Streamlining: Effect of Mutation Rate and Population Size on Genome Size Reduction. Genome Biology and Evolution, 2024, 16, 10.1093/gbe/evae250. hal-04905734 view on HAL pdf
- François Lemaire, Louis Roussel. Deep Learning for Integro-Differential Modelling. RISC Proceedings on Symbolic Computation and Machine Learning, Johannes Kepler Universität Linz, 2026, Mar 2026, Hagenberg Castle, Austria. 10.35011/risc-proceedings-scml.2. hal-05230281v3 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 |