{"id":409314,"date":"2022-12-27T16:56:28","date_gmt":"2022-12-27T15:56:28","guid":{"rendered":"https:\/\/www.eenewseurope.com\/?p=409314"},"modified":"2022-12-27T17:08:19","modified_gmt":"2022-12-27T16:08:19","slug":"axelera-lance-une-plateforme-ia-risc-v-pour-la-vision-edge","status":"publish","type":"post","link":"https:\/\/www.ecinews.fr\/fr\/axelera-lance-une-plateforme-ia-risc-v-pour-la-vision-edge\/","title":{"rendered":"Axelera lance une plateforme IA RISC-V pour la vision Edge"},"content":{"rendered":"<h2><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">La startup n\u00e9erlandaise Axelera AI a lanc\u00e9 une plate-forme qui combine sa puce Metis AI Processing Unit (AIPU), son contr\u00f4leur RISC-V et sa pile logicielle Voyager SDK.<\/span><\/span> <\/span><\/h2>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">La plate-forme Metis est disponible sous forme de carte embarqu\u00e9e, de cartes et de syst\u00e8mes de vision int\u00e9gr\u00e9s pour acc\u00e9l\u00e9rer le traitement de la vision par ordinateur edge.<\/span><\/span> <\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">L&rsquo;AIPU Metis offre des performances de pointe de 214 TOPs avec une efficacit\u00e9 \u00e9nerg\u00e9tique de 15 TOPs\/W \u00e0 INT8, gr\u00e2ce \u00e0 un nouveau moteur de calcul num\u00e9rique en m\u00e9moire (D-IMC).<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">L&rsquo;iso-pr\u00e9cision FP32 est obtenue sans qu&rsquo;il soit n\u00e9cessaire de r\u00e9-entra\u00eener les mod\u00e8les de r\u00e9seau neuronal.<\/span><\/span> <\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">La pile logicielle d&rsquo;Axelera, Voyager SDK, permet un d\u00e9ploiement rapide de r\u00e9seaux de neurones sur le terrain, permettant aux utilisateurs de la technologie Axelera de se concentrer sur la r\u00e9solution des probl\u00e8mes.<\/span><\/span><\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Une carte PCIe \u00e0 quatre processeurs avec jusqu&rsquo;\u00e0 856 TOPs et une carte au format M.2 \u00e0 $149 seront disponibles pour certains clients d\u00e9but 2023. Par ailleurs, Axelera AI travaille avec des partenaires pour d\u00e9velopper des solutions syst\u00e8me pr\u00eates \u00e0 \u00eatre d\u00e9ploy\u00e9es.<\/span><\/span><\/span><\/p>\n<p class=\"title\"><a title=\"Axelera, une start-up IA edge l\u00e8ve $12m de fonds de d\u00e9marrage\" href=\"https:\/\/www.ecinews.fr\/fr\/axelera-une-start-up-ia-edge-leve-12m-de-fonds-de-demarrage\/\" target=\"_blank\" rel=\"noopener\">Axelera, une start-up IA edge l\u00e8ve $12m de fonds de d\u00e9marrage<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/www.eenewseurope.com\/en\/axelera-shows-diana-analog-in-memory-computing-chip\/\">Axelera shows DIANA analog in-memory computing chip<\/a><\/li>\n<li><a href=\"https:\/\/www.eenewseurope.com\/en\/axelera-ai-raises-27m-for-in-memory-computing-at-the-edge\/\">Axelera AI raises $27m for in-memory computing at the edge<\/a><\/li>\n<\/ul>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">La pile logicielle, Voyager SDK, comprend un compilateur int\u00e9gr\u00e9, une pile d&rsquo;ex\u00e9cution et de puissants outils d&rsquo;optimisation qui permettent aux clients d&rsquo;importer leurs propres mod\u00e8les offrant des performances de pointe sur la plateforme Metis AI.<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Les mod\u00e8les d&rsquo;application acc\u00e9l\u00e8rent le d\u00e9veloppement, avec des r\u00e9seaux de neurones dans le Model Zoo d&rsquo;Axelera.<\/span><\/span> <\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">L&rsquo;AIPU Metis est une architecture \u00e0 quatre c\u0153urs.<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Chaque c\u0153ur peut ex\u00e9cuter toutes les couches d&rsquo;un r\u00e9seau de neurones standard sans interactions externes offrant jusqu&rsquo;\u00e0 53,5 TOPs de puissance de traitement pour l&rsquo;IA.<\/span><\/span><\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Les c\u0153urs peuvent \u00eatre combin\u00e9s pour augmenter le d\u00e9bit d&rsquo;une charge de travail complexe ou fonctionner ind\u00e9pendamment sur le m\u00eame r\u00e9seau neuronal pour r\u00e9duire la latence ou traiter simultan\u00e9ment diff\u00e9rents r\u00e9seaux neuronaux pour les applications comportant des pipelines de r\u00e9seaux neuronaux.<\/span><\/span> <\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Au centre du fonctionnement de chaque c\u0153ur se trouve le moteur D-IMC d&rsquo;Axelera pour acc\u00e9l\u00e9rer les op\u00e9rations de multiplication matrice-vecteur, offrant une efficacit\u00e9 \u00e9nerg\u00e9tique \u00e9lev\u00e9e sans pr\u00e9c\u00e9dent de 15 TOPs\/W \u00e0 une pr\u00e9cision INT8.<\/span><\/span> <\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Les quatre c\u0153urs sont int\u00e9gr\u00e9s dans un syst\u00e8me sur puce (SoC), comprenant un contr\u00f4leur RISC-V, une interface PCIe, un contr\u00f4leur LPDDR4X et un complexe de s\u00e9curit\u00e9 connect\u00e9 via un r\u00e9seau sur puce (NoC) \u00e0 haut d\u00e9bit.<\/span><\/span><\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Le NoC connecte \u00e9galement les c\u0153urs \u00e0 une hi\u00e9rarchie de m\u00e9moire partag\u00e9e \u00e0 plusieurs niveaux de plus de 52\u00a0Mio de m\u00e9moires haute vitesse sur puce, tandis que le contr\u00f4leur\u00a0LPDDR4 se connecte \u00e0 la m\u00e9moire externe, permettant la prise en charge de r\u00e9seaux de neurones beaucoup plus grands.<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Enfin, l&rsquo;interface PCIe fournit une liaison haut d\u00e9bit vers un h\u00f4te externe, qui d\u00e9chargera les applications compl\u00e8tes du r\u00e9seau neuronal vers l&rsquo;AIPU Metis.<\/span><\/span> <\/span><\/p>\n<p><strong>voir aussi:<\/strong>\u00a0<a href=\"https:\/\/www.ecinews.fr\/news\/stmicroelectronics-rachete-cartesiam-pour-ses-outils-ia-edge\" target=\"blank\" rel=\"noopener\">STMicroelectronics rach\u00e8te Cartesiam pour ses outils IA edge<\/a><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Le SDK Voyager fournit des pipelines cl\u00e9s en main pour des mod\u00e8les \u00e0 la pointe de la technologie, qu&rsquo;un utilisateur peut personnaliser pour son application, g\u00e9n\u00e9rer un code optimis\u00e9 pour et d\u00e9ployer sur des appareils edge compatibles Metis en un seul clic.<\/span><\/span><\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">La plate-forme prend en charge des frameworks pour un large \u00e9ventail d&rsquo;environnements, allant des cas d&rsquo;utilisation enti\u00e8rement int\u00e9gr\u00e9s au traitement distribu\u00e9 de plusieurs flux vid\u00e9o 4K sur des appareils en r\u00e9seau sans expertise en apprentissage profond.<\/span><\/span> <\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">En utilisant Axelera AI Model Zoo, les d\u00e9veloppeurs peuvent acc\u00e9der aux r\u00e9seaux de neurones pour personnaliser, affiner, les d\u00e9ployer tels quels ou importer leurs propres r\u00e9seaux de neurones pr\u00e9-entra\u00een\u00e9s.<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Le SDK Voyager quantifie et compile automatiquement les r\u00e9seaux de neurones qui ont \u00e9t\u00e9 entra\u00een\u00e9s sur diff\u00e9rents frameworks, g\u00e9n\u00e9rant du code qui s&rsquo;ex\u00e9cute sur la plateforme Metis AI.<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Les r\u00e9seaux optimis\u00e9s fonctionnant sur Metis AIPU sont indiscernables de ceux fonctionnant sur des syst\u00e8mes avec des unit\u00e9s \u00e0 virgule flottante.<\/span><\/span><\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">\u00ab\u00a0L&rsquo;AIPU Metis offre non seulement des performances et une efficacit\u00e9 \u00e9nerg\u00e9tique record, mais atteint \u00e9galement l&rsquo;iso-pr\u00e9cision FP32 sans devoir \u00eatre r\u00e9-entra\u00een\u00e9.<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Il d\u00e9montre l&rsquo;efficacit\u00e9 du moteur D-IMC d&rsquo;Axelera en r\u00e9alisant des multiplications matrice-vecteur avec une haute pr\u00e9cision et une complexit\u00e9 temporelle constante, qui, en tandem avec les algorithmes de quantification avanc\u00e9s, la large m\u00e9moire SRAM sur puce et la technologie RISC-V sont bien-<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">adapt\u00e9s pour r\u00e9pondre aux exigences op\u00e9rationnelles strictes des applications d&rsquo;IA edge\u00bb, a d\u00e9clar\u00e9 le co-fondateur d&rsquo;Axelera AI et CTO Evangelos Eleftheriou.<\/span><\/span> <\/span><\/p>\n<p class=\"title\"><a title=\"STMicro pr\u00e9pare une puce IA avec calcul analogique en m\u00e9moire\" href=\"https:\/\/www.ecinews.fr\/fr\/stmicro-prepare-une-puce-ia-avec-calcul-analogique-en-memoire\/\" target=\"_blank\" rel=\"noopener\">STMicro pr\u00e9pare une puce IA avec calcul analogique en m\u00e9moire<\/a><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">\u00ab\u00a0La pile logicielle int\u00e9gr\u00e9e de bout en bout d&rsquo;Axelera, construite sur des frameworks et des API ouverts et standard de l&rsquo;industrie, r\u00e9pond aux probl\u00e8mes des utilisateurs du d\u00e9veloppement d&rsquo;applications d&rsquo;IA Edge\u00a0\u00bb.<\/span><\/span><\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">\u00ab La Metis AI Platform repr\u00e9sente un point d&rsquo;inflexion pour les entreprises qui cherchent \u00e0 d\u00e9ployer des applications de vision par ordinateur Edge\u00bb, a d\u00e9clar\u00e9 Paul Neil, vice-pr\u00e9sident de la gestion des produits chez Axelera AI.<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">\u00ab\u00a0Des capacit\u00e9s mat\u00e9rielles et logicielles \u00e9troitement int\u00e9gr\u00e9es, un zoo de mod\u00e8les organis\u00e9 et des mod\u00e8les d&rsquo;application personnalisables permettent aux clients d&rsquo;acc\u00e9l\u00e9rer le cycle d&rsquo;\u00e9valuation et de d\u00e9veloppement et de raccourcir le d\u00e9lai jusqu&rsquo;\u00e0 la g\u00e9n\u00e9ration de revenus.\u00a0\u00bb<\/span><\/span> <\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Axelera AI a \u00e9galement annonc\u00e9 un programme d&rsquo;acc\u00e8s anticip\u00e9 <a href=\"http:\/\/www.axelera.ai\/early-access-program\/\">Early Access Programme<\/a> pour aider les entreprises \u00e0 co-concevoir des syst\u00e8mes Edge AI pour le monde r\u00e9el \u00e0 l&rsquo;aide de Metis.<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">\u00ab\u00a0Nous avons pour mission de d\u00e9mocratiser l&rsquo;acc\u00e8s \u00e0 l&rsquo;IA, en commen\u00e7ant par le programme d&rsquo;acc\u00e8s anticip\u00e9.<\/span><\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<p>\u201cThe Metis AI Platform represents an inflection point for businesses looking to deploy computer vision applications at the Edge,\u201d said Paul Neil, VP Product Management at Axelera AI. \u201cTightly integrated hardware and software capability, a curated model zoo and customizable application templates enable customers to accelerate through the evaluation and development cycle and shorten time-to-revenue.\u201d<\/p>\n<p>Axelera AI has also announced an <a href=\"http:\/\/www.axelera.ai\/early-access-program\/\">Early Access Programme<\/a> to help companies co-design real-world Edge AI systems using Metis.<\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">\u00ab Nous avons pour mission de d\u00e9mocratiser l&rsquo;acc\u00e8s \u00e0 l&rsquo;IA, en commen\u00e7ant par <a href=\"http:\/\/www.axelera.ai\/early-access-program\/\">Early Access Programme<\/a> le programme d&rsquo;acc\u00e8s anticip\u00e9.<\/span><\/span><\/span><span class=\"HwtZe\" lang=\"fr\"> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">Le programme offre \u00e0 certains clients l&rsquo;avantage de tirer parti de notre technologie de rupture avant la concurrence, tout en fournissant une assistance adapt\u00e9e \u00e0 leurs besoins sp\u00e9cifiques, avec un ensemble d&rsquo;avantages tangibles, notamment la co-conception de mat\u00e9riel, un support d\u00e9di\u00e9 aux logiciels et \u00e0 l&rsquo;apprentissage automatique, et des initiatives de co-marketing,<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">\u201d d\u00e9clare Flavio Devid\u00e9, Responsable Go-To-Market d&rsquo;Axelera AI.<\/span><\/span> <\/span><\/p>\n<p><span class=\"HwtZe\" lang=\"fr\"><span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">\u00ab Dans le pass\u00e9, les clients ont souffert d&rsquo;offres d&rsquo;IA Edge immatures, ont eu du mal \u00e0 porter leurs logiciels et n&rsquo;ont pas r\u00e9ussi \u00e0 reproduire les performances d\u00e9clar\u00e9es dans leurs applications r\u00e9elles.<\/span><\/span> <span class=\"jCAhz ChMk0b\"><span class=\"ryNqvb\">La plate-forme Metis AI a \u00e9t\u00e9 con\u00e7ue d\u00e8s le d\u00e9part pour r\u00e9soudre ces probl\u00e8mes, et le programme d&rsquo;acc\u00e8s anticip\u00e9 supprime tous les obstacles \u00e0 son adoption.\u00a0\u00bb<\/span><\/span><\/span><\/p>\n<ul>\n<li>\n<p class=\"title\"><a href=\"https:\/\/www.ecinews.fr\/fr\/le-cea-leti-integre-un-reseau-de-neurones-a-impulsions-snn-sur-une-puce\/\" target=\"_blank\" rel=\"noopener\">Le CEA-Leti int\u00e8gre un r\u00e9seau de neurones \u00e0 impulsions SNN sur une puce<\/a><\/p>\n<\/li>\n<li>\n<p class=\"title\"><a href=\"https:\/\/www.ecinews.fr\/fr\/storalge-un-projet-europeen-de-100-me-pour-un-microcontroleur-edge-ai\/\" target=\"_blank\" rel=\"noopener\">StorAlge, un projet europ\u00e9en de 100 M\u20ac pour un microcontr\u00f4leur edge AI<\/a><\/p>\n<\/li>\n<\/ul>\n<p><a href=\"http:\/\/www.axelera.ai\">www.axelera.ai<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>La startup n\u00e9erlandaise Axelera AI a lanc\u00e9 une plate-forme qui combine sa puce Metis AI Processing Unit (AIPU), son contr\u00f4leur RISC-V et sa pile logicielle Voyager SDK.<\/p>\n","protected":false},"author":6,"featured_media":409153,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[886],"tags":[1048,1674,3641,1856],"domains":[47],"ppma_author":[1138],"class_list":["post-409314","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-fr","tag-intelligence-artificielle","tag-risc-v-2","tag-risc-v-fr","tag-vision-embarquee","domains-electronique-eci"],"acf":[],"yoast_head":"<title>Axelera lance une plateforme IA RISC-V pour la vision Edge ...<\/title>\n<meta name=\"description\" content=\"Axelera AI a lanc\u00e9 une plate-forme qui combine sa Metis AI Processing Unit (AIPU), son contr\u00f4leur RISC-V et sa pile logicielle Voyager SDK.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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