{"id":154031,"date":"2026-01-18T11:11:55","date_gmt":"2026-01-18T09:11:55","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-nvtop-3-3-0-utility-dlya-monitoringa-gpu-i-apparatnyh-uskoritelej"},"modified":"2026-01-18T11:11:55","modified_gmt":"2026-01-18T09:11:55","slug":"vypusk-nvtop-3-3-0-utility-dlya-monitoringa-gpu-i-apparatnyh-uskoritelej","status":"publish","type":"post","link":"https:\/\/prohoster.info\/fr\/blog\/news\/vypusk-nvtop-3-3-0-utility-dlya-monitoringa-gpu-i-apparatnyh-uskoritelej","title":{"rendered":"Version nvtop 3.3.0, utilitaire pour la surveillance des GPU et des acc\u00e9l\u00e9rateurs mat\u00e9riels","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>La version de l'utilitaire console nvtop 3.3.0 a \u00e9t\u00e9 publi\u00e9e, destin\u00e9e \u00e0 la surveillance interactive du fonctionnement des GPU et des acc\u00e9l\u00e9rateurs mat\u00e9riels. L'outil permet de suivre visuellement la charge, la consommation de m\u00e9moire et les variations de fr\u00e9quence du GPU, ainsi que de visualiser les processus qui sollicitent le plus le GPU. Les GPU et acc\u00e9l\u00e9rateurs de plusieurs entreprises sont pris en charge, notamment AMD, Apple (M1, M2), Google (TPU), Huawei (Ascend), Intel (i915\/Xe), NVIDIA, Qualcomm (Adreno), Broadcom (VideoCore), Rockchip, MetaX et Enflame. Il est possible de surveiller plusieurs puces sur un seul \u00e9cran.    <\/p>\n<p>La nouvelle version supporte les acc\u00e9l\u00e9rateurs AI Enflame GCU (General Computing Unit) et Rockchip NPU, ainsi que le GPU MetaX. La prise en charge des GPU Mali, AMD et NVIDIA a \u00e9t\u00e9 am\u00e9lior\u00e9e. Les informations sur la m\u00e9moire dans le rapport r\u00e9capitulatif ont \u00e9t\u00e9 \u00e9largies. Une combinaison CTRL + L a \u00e9t\u00e9 ajout\u00e9e pour r\u00e9initialiser l'interface. Une m\u00e9trique de charge plus visuelle a \u00e9t\u00e9 introduite, calcul\u00e9e en pourcentage de la charge actuelle par rapport \u00e0 la charge maximale. Un graphique de consommation d'\u00e9nergie pour l'Intel Battlemage a \u00e9t\u00e9 ajout\u00e9.           <\/p>\n<p><center><img decoding=\"async\" alt=\"Version nvtop 3.3.0, utilitaire pour la surveillance des GPU et des acc\u00e9l\u00e9rateurs mat\u00e9riels\" src=\"\/wp-content\/uploads\/2026\/01\/38105f07a150c2dc8d394b71fe7e0434.png\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>Source : <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=64635\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u043a\u043e\u043d\u0441\u043e\u043b\u044c\u043d\u043e\u0439 \u0443\u0442\u0438\u043b\u0438\u0442\u044b nvtop 3.3.0, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0439 \u0434\u043b\u044f \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0433\u043e \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433\u0430 \u0440\u0430\u0431\u043e\u0442\u044b GPU \u0438 \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u044b\u0445 \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u0435\u0439. \u0423\u0442\u0438\u043b\u0438\u0442\u0430 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043d\u0430\u0433\u043b\u044f\u0434\u043d\u043e \u043e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u0442\u044c \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0443, \u043f\u043e\u0442\u0440\u0435\u0431\u043b\u0435\u043d\u0438\u0435 \u043f\u0430\u043c\u044f\u0442\u0438 \u0438 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u0447\u0430\u0441\u0442\u043e\u0442\u044b GPU, \u0430 \u0442\u0430\u043a\u0436\u0435 \u043f\u0440\u043e\u0441\u043c\u0430\u0442\u0440\u0438\u0432\u0430\u0442\u044c \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u044b, \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u0430\u043a\u0442\u0438\u0432\u043d\u043e \u043d\u0430\u0433\u0440\u0443\u0436\u0430\u044e\u0449\u0438\u0435 GPU. \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0442\u0441\u044f GPU \u0438 \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u0438 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0439 AMD, Apple (M1, M2), Google (TPU), Huawei (Ascend), Intel (i915\/Xe), NVIDIA, Qualcomm (Adreno), Broadcom (VideoCore), Rockchip, [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":154032,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-154031","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta 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