Grid'5000 is a precursor infrastructure of SLICES-FR, the French node of SLICES-RI, Scientific Large Scale Infrastructure for Computing/Communication Experimental Studies.
Content on this website is partly outdated. Technical information remains relevant.
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:
provides access to a large amount of resources: 15000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: PMEM, GPU, SSD, NVMe, 10G and 25G Ethernet, Infiniband, Omni-Path
highly reconfigurable and controllable: researchers can experiment with a fully customized software stack thanks to bare-metal deployment features, and can isolate their experiment at the networking layer
advanced monitoring and measurement features for traces collection of networking and power consumption, providing a deep understanding of experiments
designed to support Open Science and reproducible research, with full traceability of infrastructure and software changes on the testbed
a vibrant community of 500+ users supported by a solid technical team
Grid'5000 is supported by a scientific interest group (GIS) hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations. Inria has been supporting Grid'5000 through ADT ALADDIN-G5K (2007-2013), ADT LAPLACE (2014-2016), and IPL HEMERA (2010-2014).
Most recent news
Failed to load RSS feed from https://www.grid5000.fr/rss/G5KNews.php: Error parsing XML for RSS
Eric Maisonnave. NEMO performance on NVIDIA Grace Superchip. Sorbonne université. 2026, pp.9. hal-05698565 view on HALpdf
Thomas Stavis, Laurent Lefèvre, Anne-Cécile Orgerie. Intel RAPL - Ses impacts sur l’infrastructure et son utilisation comme levier énergétique. 2026. hal-05548910 view on HALpdf
Wèdan Emmanuel Gnibga. Modeling and optimization of Edge infrastructures and their electrical systems. Databases cs.DB. Université de Rennes, 2024. English. NNT : 2024URENS069. tel-04967447 view on HALpdf
Sweta Suresh, Maxime Guillaud. Belief Propagation Decoding of Tensor-Based Modulation for Unsourced Random Access. IZS 2026 - International Zurich Seminar on Information and Communication, Feb 2026, Zurich, Switzerland. hal-05451488 view on HALpdf
Ndeye-Emilie Mbengue. In Data or Invisible: Toward a Better Digital Representation of Low-Resource Languages with Knowledge Graphs. ESWC 2026 - 23rd European Semantic Web Conference, May 2026, Dubrovnik, Croatia. hal-05608081 view on HALpdf