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Leonardo is a petascale supercomputer located at the CINECA datacenter in Bologna, Italy. The system consists of an Atos BullSequana XH2000 computer, with close to 14,000 Nvidia Ampere GPUs and 200 Gbit/s Nvidia Mellanox HDR InfiniBand connectivity. Inaugurated in November 2022, Leonardo is capable of 250 petaflops (250 quadrillion operations per…
The analysis highlights Architecture, Bologna Technopole and Overview as prominent areas in the source structure around Leonardo (supercomputer).
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Leonardo (supercomputer) shows recurring relationship patterns in the source. For example, Leonardo (supercomputer) → November 24, 2022 Another extracted example is Leonardo (supercomputer) → 13,824 Nvidia Ampere GPU cores. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
leonardo nvidia module infiniband bologna storage petaflops gbit supercomputer system consists bullsequana hdr 2022 second ampere european computing cores cineca
TTTA extracted 14 structured relationships around Leonardo (supercomputer). Examples in this analysis include Leonardo (supercomputer) → Active → November 24, 2022 and Leonardo (supercomputer) → Architecture → 13,824 Nvidia Ampere GPU cores. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Leonardo (supercomputer) | Active | November 24, 2022 | 1.00 | infobox |
| Leonardo (supercomputer) | Architecture | 13,824 Nvidia Ampere GPU cores | 1.00 | infobox |
| Leonardo (supercomputer) | Cost | €240 million | 1.00 | infobox |
| Leonardo (supercomputer) | Location | Bologna, Italy | 1.00 | infobox |
| Leonardo (supercomputer) | Memory | 2.8 petabytes | 1.00 | infobox |
| Leonardo (supercomputer) | Operating system | Red Hat Enterprise Linux (RHEL) | 1.00 | infobox |
| Leonardo (supercomputer) | Operators | CINECA | 1.00 | infobox |
| Leonardo (supercomputer) | Power | 6 MW | 1.00 | infobox |
| Leonardo (supercomputer) | Ranking | TOP500: 10, June 2025 | 1.00 | infobox |
| Leonardo (supercomputer) | Space | 900+ m2 | 1.00 | infobox |
| Leonardo (supercomputer) | Speed | 250 petaFLOPS (peak) | 1.00 | infobox |
| Leonardo (supercomputer) | Sponsors | European High-Performance Computing Joint Undertaking | 1.00 | infobox |
| Leonardo (supercomputer) | Storage | 110 petabytes | 1.00 | infobox |
| Leonardo (supercomputer) | Website | Leonardo Pre-exascale Supercomputer | 1.00 | infobox |
The concept neighborhoods around Leonardo (supercomputer) bring nearby vocabulary together. In this analysis, examples include Also, Bologna and European. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Leonardo (supercomputer), one of the stronger structural bridges in this analysis connects Leonardo (supercomputer) with Architecture. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Leonardo (supercomputer) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Architecture, Bologna Technopole & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Leonardo (supercomputer) · EN edition · Analysis: TopicsToTalkAbout