{"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\/hu\/blog\/news\/vypusk-nvtop-3-3-0-utility-dlya-monitoringa-gpu-i-apparatnyh-uskoritelej","title":{"rendered":"Megjelent az nvtop 3.3.0, a GPU-k \u00e9s hardveres gyors\u00edt\u00f3k monitoroz\u00e1s\u00e1ra szolg\u00e1l\u00f3 seg\u00e9dprogram.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Megjelent a 3.3.0 verzi\u00f3ja az nvtop konzolos seg\u00e9dprogramnak, amely a GPU-k \u00e9s a hardveres gyors\u00edt\u00f3k interakt\u00edv monitoroz\u00e1s\u00e1ra szolg\u00e1l. A seg\u00e9dprogram lehet\u0151v\u00e9 teszi a terhel\u00e9s, a mem\u00f3riafogyaszt\u00e1s \u00e9s a GPU frekvenci\u00e1j\u00e1nak v\u00e1ltoz\u00e1s\u00e1nak nyomon k\u00f6vet\u00e9s\u00e9t, valamint a GPU-t legink\u00e1bb terhel\u0151 folyamatok megtekint\u00e9s\u00e9t. T\u00e1mogatott GPU-k \u00e9s gyors\u00edt\u00f3k: AMD, Apple (M1, M2), Google (TPU), Huawei (Ascend), Intel (i915\/Xe), NVIDIA, Qualcomm (Adreno), Broadcom (VideoCore), Rockchip, MetaX \u00e9s Enflame. Egy k\u00e9perny\u0151n lehet\u0151s\u00e9g van t\u00f6bb chip m\u0171k\u00f6d\u00e9s\u00e9nek egyidej\u0171 nyomon k\u00f6vet\u00e9s\u00e9re.    <\/p>\n<p>Az \u00faj verzi\u00f3ban megval\u00f3sult az AI-gyors\u00edt\u00f3k, az Enflame GCU (General Computing Unit) \u00e9s a Rockchip NPU, valamint a MetaX GPU t\u00e1mogat\u00e1sa. Jav\u00edtott\u00e1k a Mali, AMD \u00e9s NVIDIA GPU-k t\u00e1mogat\u00e1s\u00e1t. A mem\u00f3ri\u00e1r\u00f3l sz\u00f3l\u00f3 inform\u00e1ci\u00f3k kib\u0151v\u00fcltek az \u00f6sszefoglal\u00f3 jelent\u00e9sben. Bevezet\u00e9sre ker\u00fclt a CTRL + L kombin\u00e1ci\u00f3 az interf\u00e9sz vissza\u00e1ll\u00edt\u00e1s\u00e1ra. A terhel\u00e9s grafik\u00e1j\u00e1t is \u00e1tl\u00e1that\u00f3bb\u00e1 tett\u00e9k, amely a maxim\u00e1lis terhel\u00e9shez viszony\u00edtott aktu\u00e1lis terhel\u00e9st sz\u00e1zal\u00e9kban \u00e1br\u00e1zolja. Energiafogyaszt\u00e1si grafikon is k\u00e9sz\u00fclt az Intel Battlemage sz\u00e1m\u00e1ra.           <\/p>\n<p><center><img decoding=\"async\" alt=\"Megjelent az nvtop 3.3.0, a GPU-k \u00e9s hardveres gyors\u00edt\u00f3k monitoroz\u00e1s\u00e1ra szolg\u00e1l\u00f3 seg\u00e9dprogram.\" src=\"\/wp-content\/uploads\/2026\/01\/38105f07a150c2dc8d394b71fe7e0434.png\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>Forr\u00e1s: <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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