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Graphcore

Graphcore Limited is a British semiconductor company that develops accelerators for AI and machine learning. It has introduced a massively parallel Intelligence Processing Unit (IPU) that holds the complete machine learning model inside the processor.

[EN, English, English]

History, Products, Measurement & Companies

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Explore the main themes, entities and connections around Graphcore. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
2016; 10 years ago (2016)
Founders
Nigel Toon · Simon Knowles
Industry
Semiconductors
Headquarters
Bristol, United Kingdom
Key people
Nigel Toon (CEO) · Simon Knowles (CTO)
Net income
US$−205 million (2022)

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Products

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Graphcore

Nodes30
Edges29
Triples36
Avg. degree1.93
Density0.066667
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

Graphcore

Top relations

related to history · 11
Graphcore → Amadeus Capital Partners, C4 Ventures, Draper Esprit, Foundation Capital, In, Nigel Toon, Other, Pitango, Robert Bosch Venture Capital, Samsung, Simon Knowles
related to Products · 11
Graphcore → Colossus GC2, GPU, Graphcore C2 IPU, In, In July, Intelligence Processing Unit, Packaged, PCI Express, Poplar Software Stack, TensorFlow, The
Founders · 2
Graphcore → Nigel Toon, Simon Knowles
Key people · 2
Graphcore → Nigel Toon (CEO), Simon Knowles (CTO)
Founded · 1
Graphcore → 2016; 10 years ago (2016)
Headquarters · 1
Graphcore → Bristol, United Kingdom
Industry · 1
Graphcore → Semiconductors
Net income · 1
Graphcore → US$−205 million (2022)
Number of employees · 1
Graphcore → 450 (2024)
Products · 1
Graphcore → IPU, Poplar

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

ai machine ipu processor learning 2016 million july called memory gc200 massively parallel intelligence unit limited products first capital announced

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
GraphcoreFounded2016; 10 years ago (2016)1.00infobox
GraphcoreFoundersNigel Toon1.00infobox
GraphcoreFoundersSimon Knowles1.00infobox
GraphcoreHeadquartersBristol, United Kingdom1.00infobox
GraphcoreIndustrySemiconductors1.00infobox
GraphcoreKey peopleNigel Toon (CEO)1.00infobox
GraphcoreKey peopleSimon Knowles (CTO)1.00infobox
GraphcoreNet incomeUS$−205 million (2022)1.00infobox
GraphcoreNumber of employees450 (2024)1.00infobox
GraphcoreProductsIPU, Poplar1.00infobox
GraphcoreRevenueUS$2.7 million (2022)1.00infobox
GraphcoreTypePrivate1.00infobox
GraphcoreWebsitegraphcore.ai1.00infobox

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

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