6
Knowledge

Graphics processing unit

Specialized electronic circuit; graphics accelerator

Concept

A graphics processing unit (GPU) is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics, being present either as a component on a discrete graphics card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles. GPUs are also increasingly being used for artificial intelligence (AI) processing and model training due to linear algebra acceleration, which is also used extensively in graphics processing. Although there is no single definition of the term, and it may be used to describe any video display system, in modern use a GPU includes the ability to internally perform the calculations needed for various graphics tasks, like rotating and scaling 3D images, and often the additional ability to run custom programs known as shaders. This contrasts with earlier graphics controllers known as video display controllers which had no internal calculation capabilities, or blitters, which performed only basic memory movement operations. The modern GPU emerged during the 1990s, adding the ability to perform operations like drawing lines and text without CPU help, and later adding 3D functionality. Graphics functions are generally independent and this lends these tasks to being implemented on separate calculation engines. Modern GPUs include hundreds, or thousands, of calculation units. This made them useful for non-graphic calculations involving embarrassingly parallel problems due to their parallel structure. The ability of GPUs to rapidly perform vast numbers of calculations has led to their adoption in diverse fields including artificial intelligence (AI) where they excel at handling data-intensive and computationally demanding tasks. Other non-graphical uses include the training of neural networks and cryptocurrency mining.

UtopiaYour beings deal 40% more damage.
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CardsKnowledge

Graphics processing unit

Specialized electronic circuit; graphics accelerator

A graphics processing unit (GPU) is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics, being present either as a component on a discrete graphics card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles. GPUs are also increasingly being used for artificial intelligence (AI) processing and model training due to linear algebra acceleration, which is also used extensively in graphics processing. Although there is no single definition of the term, and it may be used to describe any video display system, in modern use a GPU includes the ability to internally perform the calculations needed for various graphics tasks, like rotating and scaling 3D images, and often the additional ability to run custom programs known as shaders. This contrasts with earlier graphics controllers known as video display controllers which had no internal calculation capabilities, or blitters, which performed only basic memory movement operations. The modern GPU emerged during the 1990s, adding the ability to perform operations like drawing lines and text without CPU help, and later adding 3D functionality. Graphics functions are generally independent and this lends these tasks to being implemented on separate calculation engines. Modern GPUs include hundreds, or thousands, of calculation units. This made them useful for non-graphic calculations involving embarrassingly parallel problems due to their parallel structure. The ability of GPUs to rapidly perform vast numbers of calculations has led to their adoption in diverse fields including artificial intelligence (AI) where they excel at handling data-intensive and computationally demanding tasks. Other non-graphical uses include the training of neural networks and cryptocurrency mining.

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How these stats are calculated

Every value is derived from a measurement of the article, with no manual input. The measurements below were taken on September 6, 2026.

ConceptAlters a rule of the game for as long as it stays in play.

REA

Reach

Article length

95 / 120

RIG

Rigour

Reference density and count

51 / 120

ANC

Anchorage

Age and revision count

346 / 400

CUR

Currency

Recent edit activity and view trend

15 / 30

DIF

Diffusion

Language editions and incoming links

77 / 100

Article size

72 kB

Sources cited

103

Sections

21

Revisions

2,470

Revisions in 90 days

17

Incoming links

3,241

Language editions

66

Views over 12 months

298,364

Created on

December 6, 2003

Wikidata statements

43

Epic — 99.1th percentile of notability

Rarity ranks cards by how famous their subject is: readership, number of languages and incoming links. This tier appears in 4.50% of cards pulled from packs. It says nothing about the card’s power, which is 672 out of 1000 here.

Effect

This card does not fight on its own: it carries a single effect, chosen by its dominant measure.

UtopiaYour beings deal 40% more damage.

Knowledgetype matchups

Strong against

CosmosLand

Weak against

MythPower

The source article

This card maps to the Wikidata item Q183484, present in 66 Wikipedia editions.

Illustration : file on Wikimedia CommonsScotXW licence CC0. Article text licensed under CC BY-SA 4.0.

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