{"id":31358,"date":"2019-10-31T21:40:51","date_gmt":"2019-10-31T18:40:51","guid":{"rendered":"https:\/\/prohoster.info\/blog\/tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing\/"},"modified":"2019-10-31T21:40:51","modified_gmt":"2019-10-31T18:40:51","slug":"tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing","title":{"rendered":"Nucleul Tensor \u0219i RT nu ocup\u0103 at\u00e2t de mult spa\u021biu pe GPU-urile NVIDIA Turing.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\u00cenc\u0103 de la anun\u021bul primelor pl\u0103ci grafice GeForce RTX din seria 20, mul\u021bi au considerat c\u0103 dimensiunile lor considerabile se datoreaz\u0103 prezen\u021bei unor module suplimentare: nucleele RT \u0219i nucleele tensoriale. Acum, un utilizator de pe Reddit a analizat imagini infraro\u0219ii ale procesoarelor grafice Turing TU106 \u0219i TU116 \u0219i a concluzionat c\u0103 noile module de calcul nu ocup\u0103 at\u00e2t de mult spa\u021biu cum s-a crezut ini\u021bial.<\/p>\n

\"Nucleul<\/p>\n

Pentru \u00eenceput, s\u0103 ne amintim c\u0103 procesorul grafic Turing TU106 este cel mai mic \u0219i compact cip NVIDIA cu nucleele RT speciale pentru ray tracing \u0219i nucleele tensoriale pentru accelerarea func\u021biilor inteligen\u021bei artificiale. La r\u00e2ndul s\u0103u, procesorul grafic Turing TU116 nu dispune de aceste module speciale de calcul, motiv pentru care a fost ales pentru compara\u021bie.<\/p>\n

\"Nucleul
\n\"Nucleul<\/p>\n

Pl\u0103cile grafice NVIDIA Turing sunt \u00eemp\u0103r\u021bite \u00een blocuri TPC, care includ c\u00e2te o pereche de multiprocesoare de flux (Streaming Multiprocessors), fiecare con\u021bin\u00e2nd toate nucleele de calcul. A\u0219a cum s-a demonstrat, pl\u0103cile grafice Turing TU106 au o suprafa\u021b\u0103 a blocului TPC cu doar 1,95 mm\u00b2 mai mare dec\u00e2t Turing TU116, adic\u0103 cu 22%. Din aceast\u0103 suprafa\u021b\u0103, 1,25 mm\u00b2 sunt destinate nucleelor tensoriale, iar doar 0,7 mm\u00b2 \u2013 nucleelor RT.<\/p>\n

\"Nucleul
\n\"Nucleul<\/p>\n

Astfel, f\u0103r\u0103 noile nuclee tensoriale \u0219i RT, placa grafic\u0103 de v\u00e2rf Turing TU102, care st\u0103 la baza GeForce RTX 2080 Ti, ar ocupa nu 754 mm\u00b2, ci 684 mm\u00b2 (36 TPC). La r\u00e2ndul s\u0103u, Turing TU104, care este baza pentru GeForce RTX 2080, ar putea ocupa 498 mm\u00b2 \u00een loc de 545 mm\u00b2 (24 TPC). A\u0219a cum se poate observa, chiar \u0219i f\u0103r\u0103 nucleele tensoriale \u0219i RT, pl\u0103cile grafice Turing superioare ar fi fost pl\u0103ci destul de mari. Mult mai mari dec\u00e2t pl\u0103cile grafice Pascal.<\/p>\n

<\/center>
\n \"Nucleul <\/p>\n

Deci, cu ce sunt legate aceste dimensiuni considerabile? \u00cen primul r\u00e2nd, procesoarele grafice Turing au avut un volum mai mare de memorie cache. De asemenea, dimensiunea shaderelor a fost crescut\u0103, iar cipurile Turing dispun de seturi de instruc\u021biuni mai mari \u0219i registre m\u0103rite. Toate acestea au permis o cre\u0219tere semnificativ\u0103 nu doar a suprafe\u021bei, ci \u0219i a performan\u021bei procesoarelor grafice Turing. De exemplu, GeForce RTX 2060 bazat\u0103 pe TU106 ofer\u0103 aproape acela\u0219i nivel de performan\u021b\u0103 ca \u0219i GeForce GTX 1080 bazat\u0103 pe GP104. Acesta din urm\u0103, de altfel, are cu 25% mai multe nuclee CUDA, de\u0219i ocup\u0103 o suprafa\u021b\u0103 de 314 mm\u00b2 comparativ cu 410 mm\u00b2 pentru noul TU106. <\/p>\n

<\/p>\n

<\/center><\/p>\n

\t\t\t\t


\n\t\t\t\t\t\t\t\t<\/center>
\n
Sursa: 3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0415\u0449\u0451 \u0432\u043e \u0432\u0440\u0435\u043c\u044f \u0430\u043d\u043e\u043d\u0441\u0430 \u043f\u0435\u0440\u0432\u044b\u0445 \u0432\u0438\u0434\u0435\u043e\u043a\u0430\u0440\u0442 GeForce RTX 20-\u0439 \u0441\u0435\u0440\u0438\u0438 \u043c\u043d\u043e\u0433\u0438\u0435 \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u043b\u0438, \u0447\u0442\u043e \u0441\u0432\u043e\u0438\u043c\u0438 \u0441\u043e\u0432\u0441\u0435\u043c \u043d\u0435 \u043c\u0430\u043b\u0435\u043d\u044c\u043a\u0438\u043c \u0433\u0430\u0431\u0430\u0440\u0438\u0442\u0430\u043c\u0438 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u044b Turing \u043e\u0431\u044f\u0437\u0430\u043d\u044b \u043d\u0430\u043b\u0438\u0447\u0438\u044e \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0431\u043b\u043e\u043a\u043e\u0432: RT-\u044f\u0434\u0435\u0440 \u0438 \u0442\u0435\u043d\u0437\u043e\u0440\u043d\u044b\u0445 \u044f\u0434\u0435\u0440. \u0422\u0435\u043f\u0435\u0440\u044c \u0436\u0435 \u043e\u0434\u0438\u043d \u0438\u0437 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 Reddit \u043f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043b \u0438\u043d\u0444\u0440\u0430\u043a\u0440\u0430\u0441\u043d\u044b\u0435 \u0441\u043d\u0438\u043c\u043a\u0438 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u0432 Turing TU106 \u0438 TU116 \u0438 \u0437\u0430\u043a\u043b\u044e\u0447\u0438\u043b, \u0447\u0442\u043e \u043d\u043e\u0432\u044b\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0431\u043b\u043e\u043a\u0438 \u0437\u0430\u043d\u0438\u043c\u0430\u044e\u0442 \u043d\u0435 \u0442\u0430\u043a \u043c\u043d\u043e\u0433\u043e \u043c\u0435\u0441\u0442\u0430, […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":23324,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-31358","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Nucleele tensoriale \u0219i RT nu ocup\u0103 at\u00e2t de mult spa\u021biu pe procesoarele grafice NVIDIA Turing | ProHoster","description":"\u00cenc\u0103 de la anun\u021bul primelor pl\u0103ci grafice GeForce RTX din seria 20, mul\u021bi au considerat c\u0103 dimensiunile considerabile ale procesoarelor grafice Turing se datoreaz\u0103 prezen\u021bei blocurilor suplimentare: nucleele RT \u0219i nucleele tensoriale.","canonical_url":"https:\/\/prohoster.info\/ro\/blog\/news\/tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"ro_RO","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u0422\u0435\u043d\u0437\u043e\u0440\u043d\u044b\u0435 \u0438 RT-\u044f\u0434\u0440\u0430 \u0437\u0430\u043d\u0438\u043c\u0430\u044e\u0442 \u043d\u0435 \u0442\u0430\u043a \u043c\u043d\u043e\u0433\u043e \u043c\u0435\u0441\u0442\u0430 \u043d\u0430 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430\u0445 NVIDIA Turing | ProHoster","og:description":"\u0415\u0449\u0451 \u0432\u043e \u0432\u0440\u0435\u043c\u044f \u0430\u043d\u043e\u043d\u0441\u0430 \u043f\u0435\u0440\u0432\u044b\u0445 \u0432\u0438\u0434\u0435\u043e\u043a\u0430\u0440\u0442 GeForce RTX 20-\u0439 \u0441\u0435\u0440\u0438\u0438 \u043c\u043d\u043e\u0433\u0438\u0435 \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u043b\u0438, \u0447\u0442\u043e \u0441\u0432\u043e\u0438\u043c\u0438 \u0441\u043e\u0432\u0441\u0435\u043c \u043d\u0435 \u043c\u0430\u043b\u0435\u043d\u044c\u043a\u0438\u043c \u0433\u0430\u0431\u0430\u0440\u0438\u0442\u0430\u043c\u0438 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u044b Turing \u043e\u0431\u044f\u0437\u0430\u043d\u044b \u043d\u0430\u043b\u0438\u0447\u0438\u044e \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0431\u043b\u043e\u043a\u043e\u0432: RT-\u044f\u0434\u0435\u0440 \u0438 \u0442\u0435\u043d\u0437\u043e\u0440\u043d\u044b\u0445 \u044f\u0434\u0435\u0440.","og:url":"https:\/\/prohoster.info\/ro\/blog\/news\/tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2019-10-31T18:40:51+00:00","article:modified_time":"2019-10-31T18:40:51+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"31358","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":"2026-01-21 05:47:29","breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2021-03-01 03:18:39","updated":"2026-01-21 05:47:29","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/posts\/31358","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/comments?post=31358"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/posts\/31358\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/media\/23324"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/media?parent=31358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/categories?post=31358"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/tags?post=31358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}