mlsanityData to 7 Oct 2026

Isambard-AI: a leadership class supercomputer optimised specifically for Artificial Intelligence

arXiv 2410.11199 ↗First posted 15 Oct 2024cs.DC cs.AIcited by 59

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Abstract (arXiv)

Isambard-AI is a new, leadership-class supercomputer, designed to support AI-related research. Based on the HPE Cray EX4000 system, and housed in a new, energy efficient Modular Data Centre in Bristol, UK, Isambard-AI employs 5,448 NVIDIA Grace-Hopper GPUs to deliver over 21 ExaFLOP/s of 8-bit floating point performance for LLM training, and over 250 PetaFLOP/s of 64-bit performance, for under 5MW. Isambard-AI integrates two, all-flash storage systems: a 20 PiByte Cray ClusterStor and a 3.5 PiByte VAST solution. Combined these give Isambard-AI flexibility for training, inference and secure data accesses and sharing. But it is the software stack where Isambard-AI will be most different from traditional HPC systems. Isambard-AI is designed to support users who may have been using GPUs in the cloud, and so access will more typically be via Jupyter notebooks, MLOps, or other web-based, interactive interfaces, rather than the approach used on traditional supercomputers of sshing into a system before submitting jobs to a batch scheduler. Its stack is designed to be quickly and regularly upgraded to keep pace with the rapid evolution of AI software, with full support for containers. Phase 1 of Isambard-AI is due online in May/June 2024, with the full system expected in production by the end of the year.

Key facts. Cited by 59 papers in the map (data through 7 Oct 2026). Builds on 1 of its 12 references that are in the map. First posted on arXiv 15 Oct 2024.

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1 of 12 references.

References · 1

  1. 2023A Survey of Large Language Modelscited by 2,537

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 17; 2026: 41.

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