[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fsTeu4e0fJfFGpQgOnodCcPKx5hFM6ETqNIIsQxuSEZo":3},{"tableOfContents":4,"markDownContent":5,"htmlContent":6,"metaTitle":7,"metaDescription":8,"wordCount":9,"readTime":10,"title":7,"nbDownloads":11,"excerpt":12,"lang":13,"url":14,"intro":12,"featured":4,"state":15,"author":16,"authorId":17,"datePublication":21,"dateCreation":22,"dateUpdate":23,"mainCategory":24,"categories":44,"metaDatas":50,"imageUrl":12,"imageThumbUrls":51,"id":52},false,"According to the[ European Commission Guidelines on GPAI providers, ](https://digital-strategy.ec.europa.eu/en/library/guidelines-scope-obligations-providers-general-purpose-ai-models-under-ai-act)the training compute, namely the \"*amount of compute used to train a model, is typically proportional to the number obtained by multiplying the number of its parameters with the number of its training examples\".*\r\n\r\nFor example, if the training compute of the AI model is greater than 10^23 FLOP, it is presumed to be a General-purpose AI model (GPAI), as it is capable of performing a wide range of distinct tasks.\r\n\r\nFor more details on the training compute of GPAI models, refer to the annex of the above mentioned Guidelines.","\u003Cp>According to the\u003Ca href=\"https://digital-strategy.ec.europa.eu/en/library/guidelines-scope-obligations-providers-general-purpose-ai-models-under-ai-act\" rel=\"nofollow\"> European Commission Guidelines on GPAI providers, \u003C/a>the training compute, namely the \"\u003Cem>amount of compute used to train a model, is typically proportional to the number obtained by multiplying the number of its parameters with the number of its training examples\".\u003C/em>\u003C/p>\r\n\u003Cp>For example, if the training compute of the AI model is greater than 10^23 FLOP, it is presumed to be a General-purpose AI model (GPAI), as it is capable of performing a wide range of distinct tasks.\u003C/p>\r\n\u003Cp>For more details on the training compute of GPAI models, refer to the annex of the above mentioned Guidelines.\u003C/p>\r\n","Training compute","According to the European Commission Guidelines on GPAI providers, the training compute",108,2,0,null,"en","training-compute","Published",{"id":17,"displayName":18,"avatarUrl":19,"bio":12,"blogUrl":12,"color":12,"userId":17,"creationDate":20},20352,"Leïla Sayssa","https://static.dastra.eu/tenant-3/avatar/20352/TDYeY3C8Rz1lLE/dpo-avatar-h01-150.png","2025-03-03T11:08:22","2025-07-24T09:08:00","2025-07-24T09:08:20.0030443","2025-08-29T09:00:15.9196635",{"id":25,"name":26,"description":27,"url":28,"color":29,"parentId":12,"count":12,"imageUrl":30,"parent":12,"order":11,"translations":31},21,"Glossary","Definition of every word used by Dastra","glossary","#643bb0","https://static.dastra.eu/tag/b308b9d3-37af-4e92-8354-ab8adec1740a/documentation-1000.png",[32,36,40],{"lang":33,"name":34,"description":35},"fr","Glossaire","La définition de tous les termes utilisés dans Dastra",{"lang":37,"name":38,"description":39},"es","Glosario","La definición de todos los términos utilizados en Dastra",{"lang":41,"name":42,"description":43},"de","Glossar","Die Definition aller in Dastra verwendeten Begriffe",[45],{"id":25,"name":26,"description":27,"url":28,"color":29,"parentId":12,"count":12,"imageUrl":30,"parent":12,"order":11,"translations":46},[47,48,49],{"lang":33,"name":34,"description":35},{"lang":37,"name":38,"description":39},{"lang":41,"name":42,"description":43},[],[],59462]