{"id":89769,"date":"2026-05-20T10:04:28","date_gmt":"2026-05-20T10:04:28","guid":{"rendered":"https:\/\/www.sardinasystems.com\/industries\/cloud-ia-ml\/"},"modified":"2026-05-20T12:05:17","modified_gmt":"2026-05-20T12:05:17","slug":"machine-learning-cloud","status":"publish","type":"page","link":"https:\/\/www.sardinasystems.com\/fr\/industries\/machine-learning-cloud\/","title":{"rendered":"Cloud IA\/ML"},"content":{"rendered":"

[vc_row padding_top_multiplier=\u00a0\u00bb2x\u00a0\u00bb padding_bottom_multiplier=\u00a0\u00bb2x\u00a0\u00bb][vc_column][vc_row_inner padding_bottom_multiplier=\u00a0\u00bb2x\u00a0\u00bb equal_column_height=\u00a0\u00bbequal\u00a0\u00bb tablet_columns_vertical_gap=\u00a0\u00bb30″ tablet_sm_columns_vertical_gap=\u00a0\u00bb30″][vc_column_inner width=\u00a0\u00bb1\/2″ tablet_sm_width=\u00a0\u00bb1″ grve_css=\u00a0\u00bb{\u00ab\u00a0desktop\u00ab\u00a0:{\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a020%\u00ab\u00a0,\u00ab\u00a0class\u00ab\u00a0:\u00ab\u00a0grve-wpb-1778500357470\u00ab\u00a0},\u00ab\u00a0tablet_portrait\u00ab\u00a0:{\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0},\u00ab\u00a0mobile_landscape\u00ab\u00a0:{\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0}}\u00a0\u00bb]

Propuls\u00e9 par OpenStack
\nFishOS Cloud pour l’IA et le ML<\/span><\/span><\/h1>
<\/div>[vc_column_text css=\u00a0\u00bb\u00a0\u00bb text_style=\u00a0\u00bbsubtitle\u00a0\u00bb el_class=\u00a0\u00bbsardina-increase-text sardina-text-140″]CR\u00c9EZ, ENTRA\u00ceNEZ ET D\u00c9PLOYEZ DES MOD\u00c8LES D’IA\/ML AVEC FISHOS[\/vc_column_text]
<\/div>[vc_column_text css=\u00a0\u00bb\u00a0\u00bb el_class=\u00a0\u00bbsardina-increase-text sardina-text-120″]Les scientifiques des donn\u00e9es, les chercheurs et les ing\u00e9nieurs ont besoin d’une infrastructure cloud hautement disponible et flexible pour r\u00e9pondre aux lourdes exigences de calcul des charges de travail modernes d’IA et d’apprentissage automatique \u2014 en particulier lors de l’ex\u00e9cution de clusters GPU sur des milliers de n\u0153uds.[\/vc_column_text]
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\r\n\t\t
\r\n\t\tEnvoyer la demande<\/span>\r\n\t\tEnvoyer la demande<\/span>\r\n\t\t\t\t\t\t\t
\r\n\t\t\t\t\t\t\r\n\t\t\t\t<\/polygon>\r\n\t\t\t<\/svg>\r\n\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t<\/a><\/div>[\/vc_column_inner][vc_column_inner width=\u00a0\u00bb1\/2″ content_width=\u00a0\u00bbcustom\u00a0\u00bb horizontal_content_position=\u00a0\u00bbright\u00a0\u00bb vertical_content_position=\u00a0\u00bbmiddle\u00a0\u00bb tablet_sm_width=\u00a0\u00bb1″ tablet_sm_content_width=\u00a0\u00bb100″ mobile_content_width=\u00a0\u00bb100″ custom_content_width=\u00a0\u00bb670″]
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\"\"<\/div><\/div>\t<\/div>\r\n\t<\/div>\r\n<\/div>\r\n[\/vc_column_inner][\/vc_row_inner][vc_row_inner tablet_columns_vertical_gap=\u00a0\u00bb30″ tablet_sm_columns_vertical_gap=\u00a0\u00bb30″][vc_column_inner width=\u00a0\u00bb1\/6″ vertical_content_position=\u00a0\u00bbmiddle\u00a0\u00bb tablet_sm_width=\u00a0\u00bb1″ grve_css=\u00a0\u00bb{\u00ab\u00a0desktop\u00ab\u00a0:{\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a020%\u00ab\u00a0,\u00ab\u00a0class\u00ab\u00a0:\u00ab\u00a0grve-wpb-1724165153032\u00ab\u00a0},\u00ab\u00a0tablet_portrait\u00ab\u00a0:{\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0},\u00ab\u00a0mobile_landscape\u00ab\u00a0:{\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0}}\u00a0\u00bb][\/vc_column_inner][vc_column_inner width=\u00a0\u00bb2\/3″][vc_column_text css=\u00a0\u00bb\u00a0\u00bb el_class=\u00a0\u00bbsardina-increase-text sardina-text-120″]C’est l\u00e0 que FishOS excelle<\/strong>. Il fournit un cloud priv\u00e9 de qualit\u00e9 production, con\u00e7u sp\u00e9cifiquement pour la performance, l’efficacit\u00e9 et l’\u00e9volutivit\u00e9 :[\/vc_column_text]
<\/div>[vc_column_text css=\u00a0\u00bb\u00a0\u00bb el_class=\u00a0\u00bbsardina-increase-text sardina-text-120″]<\/i> Gestion automatis\u00e9e des ressources bare-metal et GPU pour une efficacit\u00e9 maximale<\/p>\n

<\/i> Multi-location \u00e9volutive et environnements personnalisables pour divers projets d’IA et de ML<\/p>\n

<\/i> HPC optimis\u00e9 pour l’entra\u00eenement de mod\u00e8les \u00e0 grande \u00e9chelle et le traitement des donn\u00e9es[\/vc_column_text][\/vc_column_inner][vc_column_inner width=\u00a0\u00bb1\/6″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row padding_top_multiplier=\u00a0\u00bb2x\u00a0\u00bb rc_bg_type=\u00a0\u00bbcolor\u00a0\u00bb rc_bg_color=\u00a0\u00bb#F6F6F6″][vc_column][vc_row_inner columns_gap=\u00a0\u00bbnone\u00a0\u00bb equal_column_height=\u00a0\u00bbequal\u00a0\u00bb mobile_columns_vertical_gap=\u00a0\u00bbnone\u00a0\u00bb el_class=\u00a0\u00bbsardina-benefits\u00a0\u00bb][vc_column_inner width=\u00a0\u00bb1\/2″ vertical_content_position=\u00a0\u00bbmiddle\u00a0\u00bb tablet_sm_width=\u00a0\u00bb1″ grve_css=\u00a0\u00bb{\u00ab\u00a0desktop\u00ab\u00a0:{\u00ab\u00a0border-right\u00ab\u00a0:1,\u00ab\u00a0border-bottom\u00ab\u00a0:1,\u00ab\u00a0padding-top\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0padding-bottom\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0border-color\u00ab\u00a0:\u00ab\u00a0#efefef\u00ab\u00a0,\u00ab\u00a0border-style\u00ab\u00a0:\u00ab\u00a0solid\u00ab\u00a0,\u00ab\u00a0class\u00ab\u00a0:\u00ab\u00a0grve-wpb-1754919451641\u00ab\u00a0},\u00ab\u00a0tablet_portrait\u00ab\u00a0:{\u00ab\u00a0border-right\u00ab\u00a0:0},\u00ab\u00a0mobile_landscape\u00ab\u00a0:{\u00ab\u00a0border-right\u00ab\u00a0:0,\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0}}\u00a0\u00bb]

Avantages de FishOS :
\nCloud bas\u00e9 sur OpenStack pour l’IA et le ML<\/span><\/h2>[vc_column_text css=\u00a0\u00bb\u00a0\u00bb]FishOS s’appuie sur la fondation \u00e9prouv\u00e9e d’OpenStack, en y ajoutant une automatisation bas\u00e9e sur l’IA et une optimisation des performances de niveau entreprise \u2014 offrant une infrastructure auto-g\u00e9r\u00e9e qui donne aux \u00e9quipes un contr\u00f4le total sur les performances, l’\u00e9volutivit\u00e9 et les co\u00fbts. Voici ce qui le rend si efficace :[\/vc_column_text][\/vc_column_inner][vc_column_inner width=\u00a0\u00bb1\/2″ tablet_sm_width=\u00a0\u00bb1″ grve_css=\u00a0\u00bb{\u00ab\u00a0desktop\u00ab\u00a0:{\u00ab\u00a0border-bottom\u00ab\u00a0:1,\u00ab\u00a0padding-top\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0padding-bottom\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0border-color\u00ab\u00a0:\u00ab\u00a0#efefef\u00ab\u00a0,\u00ab\u00a0border-style\u00ab\u00a0:\u00ab\u00a0solid\u00ab\u00a0,\u00ab\u00a0class\u00ab\u00a0:\u00ab\u00a0grve-wpb-1724165222870\u00ab\u00a0},\u00ab\u00a0mobile_landscape\u00ab\u00a0:{\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0}}\u00a0\u00bb]
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Personnalisable et Int\u00e9grable<\/h3><\/div>

FishOS \u00e9tend l’architecture modulaire d’OpenStack avec des couches d’automatisation et d’orchestration intelligentes. G\u00e9rez facilement les frameworks de traitement de donn\u00e9es, les conteneurs, les serveurs bare-metal et ajoutez d’autres outils open source pour construire un environnement cloud puissant.<\/p><\/div><\/div>[\/vc_column_inner][vc_column_inner width=\u00a0\u00bb1\/2″ tablet_sm_width=\u00a0\u00bb1″ grve_css=\u00a0\u00bb{\u00ab\u00a0desktop\u00ab\u00a0:{\u00ab\u00a0border-right\u00ab\u00a0:1,\u00ab\u00a0padding-top\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0padding-bottom\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0border-color\u00ab\u00a0:\u00ab\u00a0#efefef\u00ab\u00a0,\u00ab\u00a0border-style\u00ab\u00a0:\u00ab\u00a0solid\u00ab\u00a0,\u00ab\u00a0class\u00ab\u00a0:\u00ab\u00a0grve-wpb-1724165378463\u00ab\u00a0},\u00ab\u00a0tablet_portrait\u00ab\u00a0:{\u00ab\u00a0border-right\u00ab\u00a0:0,\u00ab\u00a0border-bottom\u00ab\u00a0:1},\u00ab\u00a0mobile_landscape\u00ab\u00a0:{\u00ab\u00a0border-right\u00ab\u00a0:0,\u00ab\u00a0border-bottom\u00ab\u00a0:1,\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0}}\u00a0\u00bb]

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Op\u00e9rations s\u00e9curis\u00e9es et conformes<\/h3><\/div>

Le r\u00e9seau de niveau entreprise propuls\u00e9 par Neutron, combin\u00e9 \u00e0 la multi-location, au chiffrement et au contr\u00f4le d’acc\u00e8s bas\u00e9 sur les r\u00f4les, maintient les environnements isol\u00e9s et efficaces. FishOS assure la conformit\u00e9 avec les normes strictes de souverainet\u00e9 des donn\u00e9es et de r\u00e9glementation sans compromettre les performances.<\/p><\/div><\/div>[\/vc_column_inner][vc_column_inner width=\u00a0\u00bb1\/2″ tablet_sm_width=\u00a0\u00bb1″ grve_css=\u00a0\u00bb{\u00ab\u00a0desktop\u00ab\u00a0:{\u00ab\u00a0padding-top\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0padding-bottom\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0class\u00ab\u00a0:\u00ab\u00a0grve-wpb-1724165285037\u00ab\u00a0},\u00ab\u00a0mobile_landscape\u00ab\u00a0:{\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0}}\u00a0\u00bb]

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Performances rentables<\/h3><\/div>

Construite sur des technologies open source, notre plateforme vous lib\u00e8re de la d\u00e9pendance vis-\u00e0-vis d’un fournisseur tout en maximisant l’efficacit\u00e9 mat\u00e9rielle et logicielle. Son composant intelligent FishOS Workload Manager optimise l’utilisation des ressources et la consommation d’\u00e9nergie pour des op\u00e9rations rentables et durables.<\/p><\/div><\/div>[\/vc_column_inner][vc_column_inner width=\u00a0\u00bb1\/2″ tablet_sm_width=\u00a0\u00bb1″ grve_css=\u00a0\u00bb{\u00ab\u00a0desktop\u00ab\u00a0:{\u00ab\u00a0border-top\u00ab\u00a0:1,\u00ab\u00a0border-right\u00ab\u00a0:1,\u00ab\u00a0padding-top\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0padding-bottom\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0border-color\u00ab\u00a0:\u00ab\u00a0#efefef\u00ab\u00a0,\u00ab\u00a0border-style\u00ab\u00a0:\u00ab\u00a0solid\u00ab\u00a0,\u00ab\u00a0class\u00ab\u00a0:\u00ab\u00a0grve-wpb-1724165403634\u00ab\u00a0},\u00ab\u00a0tablet_portrait\u00ab\u00a0:{\u00ab\u00a0border-right\u00ab\u00a0:0},\u00ab\u00a0mobile_landscape\u00ab\u00a0:{\u00ab\u00a0border-right\u00ab\u00a0:0,\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0}}\u00a0\u00bb]

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Surveillance pr\u00e9dictive de la sant\u00e9<\/h3><\/div>

FishOS Health Engine suit, analyse et pr\u00e9dit de mani\u00e8re proactive les probl\u00e8mes potentiels avant qu’ils n’affectent les performances. Gr\u00e2ce aux algorithmes propri\u00e9taires de Sardina Systems et \u00e0 une approche d’\u00ab immunologie informatique \u00bb, il traite des millions de points de donn\u00e9es par seconde pour d\u00e9tecter les anomalies, pr\u00e9venant ainsi la saturation des n\u0153uds, les goulots d’\u00e9tranglement E\/S et la d\u00e9gradation des services.<\/p><\/div><\/div>[\/vc_column_inner][vc_column_inner width=\u00a0\u00bb1\/2″ tablet_sm_width=\u00a0\u00bb1″ grve_css=\u00a0\u00bb{\u00ab\u00a0desktop\u00ab\u00a0:{\u00ab\u00a0border-top\u00ab\u00a0:1,\u00ab\u00a0padding-top\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0padding-bottom\u00ab\u00a0:\u00ab\u00a06%\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a011%\u00ab\u00a0,\u00ab\u00a0border-color\u00ab\u00a0:\u00ab\u00a0#efefef\u00ab\u00a0,\u00ab\u00a0border-style\u00ab\u00a0:\u00ab\u00a0solid\u00ab\u00a0,\u00ab\u00a0class\u00ab\u00a0:\u00ab\u00a0grve-wpb-1724165422393\u00ab\u00a0},\u00ab\u00a0mobile_landscape\u00ab\u00a0:{\u00ab\u00a0padding-right\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0,\u00ab\u00a0padding-left\u00ab\u00a0:\u00ab\u00a00\u00ab\u00a0}}\u00a0\u00bb]

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Gestion des donn\u00e9es et du stockage<\/h3><\/div>

Le stockage haute performance FishOS Ceph, combin\u00e9 \u00e0 OpenStack Swift et Cinder, assure un acc\u00e8s rapide et \u00e9volutif aux donn\u00e9es. FishOS optimise automatiquement les performances de stockage et la distribution des charges de travail pour un traitement des donn\u00e9es plus rapide.<\/p><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row padding_top_multiplier=\u00a0\u00bb2x\u00a0\u00bb padding_bottom_multiplier=\u00a0\u00bb3x\u00a0\u00bb rc_heading_color=\u00a0\u00bbwhite\u00a0\u00bb rc_bg_type=\u00a0\u00bbgradient\u00a0\u00bb rc_bg_gradient_color_1=\u00a0\u00bb#3366A3″ rc_bg_gradient_color_2=\u00a0\u00bb#4C82C3″ el_class=\u00a0\u00bbstorage-features\u00a0\u00bb rc_font_color=\u00a0\u00bb#ffffff\u00a0\u00bb][vc_column content_width=\u00a0\u00bb65″ horizontal_content_position=\u00a0\u00bbcenter\u00a0\u00bb text_align=\u00a0\u00bbcenter\u00a0\u00bb][\/vc_column][vc_column]

Cas de succ\u00e8s en apprentissage automatique :
\nL’Universit\u00e9 de T\u00fcbingen<\/span><\/span><\/h2>
<\/div>

STABILIT\u00c9 ET \u00c9VOLUTIVIT\u00c9 POUR DES CHARGES DE TRAVAIL DIVERSES<\/span><\/h3>
<\/div>[vc_row_inner columns_gap=\u00a0\u00bb25″ equal_column_height=\u00a0\u00bbequal\u00a0\u00bb][vc_column_inner width=\u00a0\u00bb1\/3″ vertical_content_position=\u00a0\u00bbmiddle\u00a0\u00bb el_class=\u00a0\u00bbwhite-background\u00a0\u00bb]
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L’un des principaux centres de recherche d’Allemagne \u2014 l’Universit\u00e9 de T\u00fcbingen \u2014 ex\u00e9cute son projet ML Cloud sur FishOS depuis 2023. Le projet comprend le Centre d’IA et le Cluster d’Excellence ML, soutenant 48 groupes de recherche dans les domaines de la m\u00e9decine, de l’agriculture, des syst\u00e8mes autonomes, des sciences du climat, et plus encore.
\nAvec FishOS, l’\u00e9quipe de Sardina Systems a permis un d\u00e9ploiement flexible sur des n\u0153uds CPU et GPU V100\/A100, offrant une infrastructure stable et hautement disponible avec un minimum d’interruptions.<\/span><\/h2>[\/vc_column_inner][\/vc_row_inner]
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FishOS a transform\u00e9 ses op\u00e9rations en :<\/span><\/h2>[vc_row_inner padding_top_multiplier=\u00a0\u00bb1x\u00a0\u00bb columns_gap=\u00a0\u00bb60″ tablet_sm_columns_vertical_gap=\u00a0\u00bb40″ el_wrapper_class=\u00a0\u00bbsardina-flex-justify-center\u00a0\u00bb][vc_column_inner width=\u00a0\u00bb1\/2″ text_align=\u00a0\u00bbcenter\u00a0\u00bb animation=\u00a0\u00bbclipping\u00a0\u00bb clipping_animation=\u00a0\u00bbclipping-down\u00a0\u00bb animation_delay=\u00a0\u00bb200″ tablet_sm_width=\u00a0\u00bb1″]
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\u00c9quilibrant la virtualisation<\/span><\/h3>[vc_column_text css=\u00a0\u00bb\u00a0\u00bb]et l’infrastructure bare-metal avec un stockage Ceph distribu\u00e9[\/vc_column_text][\/vc_column_inner][vc_column_inner width=\u00a0\u00bb1\/2″ text_align=\u00a0\u00bbcenter\u00a0\u00bb animation=\u00a0\u00bbclipping\u00a0\u00bb clipping_animation=\u00a0\u00bbclipping-down\u00a0\u00bb animation_delay=\u00a0\u00bb400″ tablet_sm_width=\u00a0\u00bb1″]
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Rationalisant la gestion du r\u00e9seau<\/span><\/h3>[vc_column_text css=\u00a0\u00bb\u00a0\u00bb]avec attribution automatique d’adresses IP[\/vc_column_text][\/vc_column_inner][\/vc_row_inner]
<\/div>[vc_row_inner padding_top_multiplier=\u00a0\u00bb1x\u00a0\u00bb columns_gap=\u00a0\u00bb60″ equal_column_height=\u00a0\u00bbequal\u00a0\u00bb tablet_sm_columns_vertical_gap=\u00a0\u00bb40″ el_wrapper_class=\u00a0\u00bbsardina-flex-justify-center\u00a0\u00bb][vc_column_inner width=\u00a0\u00bb1\/2″ text_align=\u00a0\u00bbcenter\u00a0\u00bb animation=\u00a0\u00bbclipping\u00a0\u00bb clipping_animation=\u00a0\u00bbclipping-down\u00a0\u00bb animation_delay=\u00a0\u00bb200″ tablet_sm_width=\u00a0\u00bb1″ mobile_width=\u00a0\u00bb1″]
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Faisant \u00e9voluer l’infrastructure<\/span><\/h3>[vc_column_text css=\u00a0\u00bb\u00a0\u00bb]pour les futures charges de travail GPU, Gaudi2 et FPGA[\/vc_column_text][\/vc_column_inner][vc_column_inner width=\u00a0\u00bb1\/2″ text_align=\u00a0\u00bbcenter\u00a0\u00bb animation=\u00a0\u00bbclipping\u00a0\u00bb clipping_animation=\u00a0\u00bbclipping-down\u00a0\u00bb animation_delay=\u00a0\u00bb400″ tablet_sm_width=\u00a0\u00bb1″]
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Permettant \u00e0 plusieurs \u00e9quipes<\/span><\/h3>[vc_column_text css=\u00a0\u00bb\u00a0\u00bb]de collaborer de mani\u00e8re transparente sur des ensembles de donn\u00e9es partag\u00e9s[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text css=\u00a0\u00bb\u00a0\u00bb el_class=\u00a0\u00bbsardina-increase-text sardina-text-140″]<\/p>\n

Une solution phare d’Incarta fonctionnant sur FishOS est BioBeat<\/a> \u2014 l’un des dispositifs portables de surveillance physiologique les plus avanc\u00e9s sur le march\u00e9. En utilisant l’IA et l’apprentissage automatique sur les big data, BioBeat fournit des informations exploitables qui am\u00e9liorent les soins aux patients. <\/em><\/p>\n

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D\u00e9couvrez comment FishOS prend en charge les charges de travail gourmandes en donn\u00e9es.
\nT\u00e9l\u00e9chargez le PDF pour en savoir plus.<\/span><\/span><\/h3>[\/vc_column_inner][vc_column_inner width=\u00a0\u00bb5\/12″ vertical_content_position=\u00a0\u00bbmiddle\u00a0\u00bb tablet_width=\u00a0\u00bb2-3″]
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