{"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\/it\/blog\/news\/vypusk-nvtop-3-3-0-utility-dlya-monitoringa-gpu-i-apparatnyh-uskoritelej","title":{"rendered":"Rilascio di nvtop 3.3.0, utilit\u00e0 per il monitoraggio della GPU e degli acceleratori hardware","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u00c8 stato pubblicato il rilascio dell'utility da console nvtop 3.3.0, progettata per il monitoraggio interattivo delle prestazioni della GPU e degli accelerator hardware. L'utility consente di tenere traccia visivamente del carico, del consumo di memoria e delle variazioni della frequenza della GPU, oltre a visualizzare i processi che gravano di pi\u00f9 sulla GPU. Sono supportate le GPU e gli accelerator delle aziende AMD, Apple (M1, M2), Google (TPU), Huawei (Ascend), Intel (i915\/Xe), NVIDIA, Qualcomm (Adreno), Broadcom (VideoCore), Rockchip, MetaX ed Enflame. \u00c8 possibile monitorare le prestazioni di pi\u00f9 chip su un unico schermo.    <\/p>\n<p>Nella nuova versione \u00e8 stata implementata la compatibilit\u00e0 con gli accelerator AI Enflame GCU (General Computing Unit) e Rockchip NPU, oltre alle GPU MetaX. \u00c8 migliorato il supporto per le GPU Mali, AMD e NVIDIA. Sono state ampliate le informazioni sulla memoria nel rapporto aggregato. \u00c8 stata aggiunta la combinazione CTRL + L per ripristinare l'interfaccia. \u00c8 stata introdotta una metrica di carico pi\u00f9 visibile, calcolata come percentuale del carico attuale rispetto al carico massimo. \u00c8 stato aggiunto un grafico del consumo energetico per Intel Battlemage.           <\/p>\n<p><center><img decoding=\"async\" alt=\"Rilascio di nvtop 3.3.0, utilit\u00e0 per il monitoraggio della GPU e degli acceleratori hardware\" src=\"\/wp-content\/uploads\/2026\/01\/38105f07a150c2dc8d394b71fe7e0434.png\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>Fonte: <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 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\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 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