{"id":91664,"date":"2019-03-20T17:31:51","date_gmt":"2019-03-20T17:31:51","guid":{"rendered":"https:\/\/\/nvidia-lance-un-module-ia-a-99-offrant-472-gflops\/"},"modified":"2019-03-20T17:31:51","modified_gmt":"2019-03-20T17:31:51","slug":"nvidia-lance-un-module-ia-a-99-offrant-472-gflops","status":"publish","type":"post","link":"https:\/\/www.ecinews.fr\/fr\/nvidia-lance-un-module-ia-a-99-offrant-472-gflops\/","title":{"rendered":"Nvidia lance un module IA \u00e0 $99 offrant 472 GFLOPS"},"content":{"rendered":"

L’ordinateur Jetson Nano AI bas\u00e9 sur CUDA-X offre 472 GFLOPS de performances de calcul pour l’ex\u00e9cution de charges de travail d’IA modernes et ne consomme que 5 W. Le Jetson Nano est disponible en deux versions: un kit de d\u00e9veloppement \u00e0 99 $ pour les d\u00e9veloppeurs, les concepteurs et les passionn\u00e9s; et un module pr\u00eat \u00e0 la production de 129 $ destin\u00e9 aux entreprises cherchant \u00e0 cr\u00e9er des syst\u00e8mes Edge  destin\u00e9s au march\u00e9 de masse.<\/span><\/p>\n

\u00ab\u00a0Jetson Nano rend l’IA plus accessible \u00e0 tous – et s’appuie sur la m\u00eame architecture et les m\u00eames logiciels que ceux qui alimentent les superordinateurs\u00a0\u00bb, a d\u00e9clar\u00e9 Deepu Talla, vice-pr\u00e9sident et directeur g\u00e9n\u00e9ral des machines autonomes de NVIDIA. \u00ab\u00a0Le fait d’offrir l’IA au mouvement des makers ouvre un tout nouveau monde d’innovation et inspirer les gens \u00e0 cr\u00e9er le prochain grand produit.\u00a0\u00bb<\/span><\/p>\n

Jetson Nano prend en charge les capteurs haute r\u00e9solution, peut traiter de nombreux capteurs en parall\u00e8le et peut g\u00e9rer de multiples r\u00e9seaux de neurones modernes sur chaque flux de capteurs. Il prend \u00e9galement en charge de nombreux frameworks d’intelligence artificielle populaires, permettant aux d\u00e9veloppeurs d’int\u00e9grer leurs mod\u00e8les et frameworks pr\u00e9f\u00e9r\u00e9s au produit.<\/span><\/p>\n

Le kit \u00e9conomique <\/span>Jetson Nano Developer Kit<\/a> permet aux utilisateurs de cr\u00e9er des projets d\u2019intelligence artificielle qui n’\u00e9taient pas possible jusqu\u2019\u00e0 pr\u00e9sent et de porter les projets existants au niveau sup\u00e9rieur: robots et drones mobiles, assistants num\u00e9riques, appareils automatis\u00e9s, etc. Le kit est livr\u00e9 avec un support pr\u00eat \u00e0 l’emploi pour Linux complet, une compatibilit\u00e9 avec de nombreux p\u00e9riph\u00e9riques et accessoires populaires, ainsi que des projets pr\u00eats \u00e0 l’emploi et des tutoriels qui aident les d\u00e9veloppeurs \u00e0 se familiariser rapidement avec l’IA.<\/span><\/p>\n

Le module <\/span>Jetson Nano module<\/a> quand \u00e0 lui, donne vie \u00e0 un nouveau monde d’applications embarqu\u00e9es, notamment des enregistreurs vid\u00e9o en r\u00e9seau, des robots domestiques et des passerelles intelligentes dot\u00e9es de capacit\u00e9s d’analyse compl\u00e8tes. Il est con\u00e7u pour r\u00e9duire le temps de d\u00e9veloppement global et la mise sur le march\u00e9 plus rapide des produits en r\u00e9duisant le temps consacr\u00e9 \u00e0 la conception, aux tests et \u00e0 la v\u00e9rification du mat\u00e9riel informatique d’un syst\u00e8me d’intelligence artificielle complexe, robuste et \u00e9co\u00e9nerg\u00e9tique.<\/span><\/p>\n

Le syst\u00e8me est complet: gestion de l\u2019alimentation, synchronisation, m\u00e9moire et entr\u00e9es \/ sorties enti\u00e8rement accessibles. Les charges de travail de l’intelligence artificielle \u00e9tant enti\u00e8rement d\u00e9finies par le logiciel, les entreprises peuvent mettre \u00e0 jour les performances et les fonctionnalit\u00e9s m\u00eame apr\u00e8s le d\u00e9ploiement du syst\u00e8me.<\/span><\/p>\n

Pour aider les clients \u00e0 transf\u00e9rer facilement les charges de travail d\u2019intelligence artificielle et d\u2019apprentissage automatique un accord avec Amazon Web Services permet \u00e0 <\/span>AWS Internet of Things Greengrass<\/a> de fonctionner de mani\u00e8re optimale avec des p\u00e9riph\u00e9riques utilisant Jetson, tels que Jetson Nano. La soci\u00e9t\u00e9 a \u00e9galement cr\u00e9\u00e9 une plate-forme de r\u00e9f\u00e9rence – NVIDIA JetBot, un petit robot mobile qui peut \u00eatre construit avec des composants standard et open source sur GitHub – pour relancer la construction d’applications d’intelligence artificielle en r\u00e9duisant le temps pass\u00e9 \u00e0 l’assemblage mat\u00e9riel initial. <\/span><\/p>\n

\u00e0 suivre: fonctionnalit\u00e9s<\/span> de Jetson Nano<\/strong><\/p>\n

\n

Les principales sp\u00e9cifications syst\u00e8me et fonctionnalit\u00e9s logicielles de Jetson Nano incluent:<\/p>\n

    GPU: GPU 128 coeurs bas\u00e9 sur une architecture NVIDIA Maxwell
\n    CPU: ARM A57 quad-core
\n    Vid\u00e9o: 4K \u00e0 30 images par seconde (H.264 \/ H.265) \/ 4K \u00e0 60 images par seconde (H.264 \/ H.265) encodeur et d\u00e9codeur
\n    Cam\u00e9ra: Voies MIPI CSI-2 DPHY, 12x (module) et 1x (kit de d\u00e9veloppement)
\n    M\u00e9moire: 4 Go LPDDR4 64 bits; 25,6 gigaoctets \/ seconde
\n    Connectivit\u00e9: Gigabit Ethernet
\n    Prise en charge de syst\u00e8me d’exploitation: Linux pour Tegra
\n    Taille du module: 70mm x 45mm
\n    Kit de d\u00e9veloppement: 100mm x 80mm<\/p>\n

Le kit de d\u00e9veloppement NVIDIA Jetson Nano est disponible d\u00e8s maintenant. Le module Jetson Nano (129 $, par quantit\u00e9s de 1 000 ou plus) sera disponible \u00e0 partir de juin.<\/span><\/p>\n

\u00e0 lire \u00e9galement:<\/p>\n

Nvidia rach\u00e8te Mellanox pour $6.9 milliards<\/a><\/strong><\/p>\n

Super-ordinateur europ\u00e9en bas\u00e9 sur des modules ATOS<\/a><\/strong><\/p>\n

Premi\u00e8re IP de v\u00e9rification pour PCI Express 5.0<\/a><\/strong><\/p>\n

Nvidia<\/a><\/p>\n

Related articles in English:<\/b>
\nNew Google DIY AI kits make getting started easier<\/a>
\nNvidia module enables AI-powered autonomous machines<\/a>
\nNvidia credit card-sized IoT platform enables ‘AI at the edge’<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Nvidia (San Jose, Californie) a annonc\u00e9 un ordinateur de poche pour l’IA qui selon la soci\u00e9t\u00e9 permet de cr\u00e9er des millions de syst\u00e8mes intelligents.<\/p>\n","protected":false},"author":22,"featured_media":91665,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[883],"tags":[920,894,912,895,896,919,905,906,907,910,917],"domains":[47],"ppma_author":[1149],"class_list":["post-91664","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologies","tag-artificialintelligence-fr","tag-boards-embedded-cards-fr","tag-dataacquisition-fr","tag-developmentkits-fr","tag-digitalsignalprocessing-fr","tag-iot-fr","tag-memory-data-storage-fr","tag-mpus-mcus-fr","tag-optoelectronics-fr","tag-sensing-conditioning-fr","tag-software-embedded-tools-fr","domains-electronique-eci"],"acf":[],"yoast_head":"Nvidia lance un module IA \u00e0 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