{"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\/hu\/blog\/news\/tenzornye-i-rt-yadra-zanimayut-ne-tak-mnogo-mesta-na-graficheskih-protsessorah-nvidia-turing","title":{"rendered":"A tenzori \u00e9s RT-magok nem foglalnak el t\u00fal sok helyet az NVIDIA Turing grafikus processzorain.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

M\u00e1r a GeForce RTX 20-as sz\u00e9ria els\u0151 grafikus k\u00e1rty\u00e1inak bejelent\u00e9sekor sokan \u00fagy v\u00e9lt\u00e9k, hogy a Turing grafikus processzorok nem kis m\u00e9reteit a plusz blokkok, az RT-magok \u00e9s a tensor magok jelenl\u00e9te okozza. Most viszont az egyik Reddit-felhaszn\u00e1l\u00f3 infrav\u00f6r\u00f6s felv\u00e9telek elemz\u00e9se ut\u00e1n arra a k\u00f6vetkeztet\u00e9sre jutott, hogy az \u00faj sz\u00e1m\u00edt\u00e1si egys\u00e9gek nem foglalnak el akkora helyet, mint ahogy azt kor\u00e1bban gondolt\u00e1k.<\/p>\n

\"A<\/p>\n

El\u0151sz\u00f6r is eml\u00e9keztess\u00fck, hogy a Turing TU106 grafikus processzor az NVIDIA legkisebb \u00e9s legkompaktabb chipje, amely speci\u00e1lis RT-magokkal rendelkezik a sug\u00e1rk\u00f6vet\u00e9shez, valamint tensor magokkal a mesters\u00e9ges intelligencia funkci\u00f3k gyors\u00edt\u00e1s\u00e1hoz. Ezzel szemben a rokon grafikus processzor, a Turing TU116 nem rendelkezik ezekkel a speci\u00e1lis sz\u00e1m\u00edt\u00e1si blokkokkal, ez\u00e9rt d\u00f6nt\u00f6tt\u00fcnk \u00fagy, hogy \u0151ket hasonl\u00edtjuk \u00f6ssze.<\/p>\n

\"A
\n\"A<\/p>\n

Az NVIDIA Turing grafikus processzorai TPC blokkra oszlanak, amelyek egy p\u00e1r streaming multiprocesszort (Streaming Multiprocessors) tartalmaznak, amelyek magukban foglalj\u00e1k az \u00f6sszes sz\u00e1m\u00edt\u00e1si magot. Kider\u00fclt, hogy a Turing TU106 grafikus processzor TPC blokk\u00e1nak ter\u00fclete mind\u00f6ssze 1,95 mm\u00b2-rel nagyobb, mint a Turing TU116-\u00e9, ami 22%-os n\u00f6veked\u00e9st jelent. Ebb\u0151l a ter\u00fcletb\u0151l 1,25 mm\u00b2 a tenzormagokra, m\u00edg csup\u00e1n 0,7 mm\u00b2 RT-magokra jut.<\/p>\n

\"A
\n\"A<\/p>\n

Teh\u00e1t, ha nem lenn\u00e9nek \u00faj tenzormagok \u00e9s RT-magok, a GeForce RTX 2080 Ti alapj\u00e1ul szolg\u00e1l\u00f3 cs\u00facs grafikus processzor Turing TU102 nem 754 mm\u00b2-t, hanem 684 mm\u00b2-t foglalna el (36 TPC). A GeForce RTX 2080 alapj\u00e1t k\u00e9pez\u0151 Turing TU104 pedig 498 mm\u00b2-t foglalhatna el 545 mm\u00b2 helyett (24 TPC). Ahogy l\u00e1that\u00f3, m\u00e9g tenzormagok \u00e9s RT-magok n\u00e9lk\u00fcl is a nagyobb Turing grafikus processzorok meglehet\u0151sen nagy chipm\u00e9rettel rendelkeztek. Jelent\u0151sen nagyobbak a Pascal grafikus processzorokn\u00e1l.<\/p>\n

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

Teh\u00e1t mi okozza ezt a jelent\u0151s m\u00e9retet? El\u0151sz\u00f6r is, a Turing grafikus processzorok eset\u00e9ben megn\u00f6velt\u00e9k a cache mem\u00f3ria mennyis\u00e9g\u00e9t. A shaderek m\u00e9rete is n\u0151tt, \u00e9s a Turing chipek nagyobb utas\u00edt\u00e1sk\u00e9szletekkel \u00e9s megn\u00f6velt regiszterekkel rendelkeznek. Mindez lehet\u0151v\u00e9 tette a Turing grafikus processzorok ter\u00fclet\u00e9nek \u00e9s teljes\u00edtm\u00e9ny\u00e9nek jelent\u0151s n\u00f6vel\u00e9s\u00e9t. P\u00e9ld\u00e1ul a TU106 alap\u00fa GeForce RTX 2060 teljes\u00edtm\u00e9nye szinte azonos a GP104 alap\u00fa GeForce GTX 1080-\u00e9val. Az ut\u00f3bbi egy\u00e9bk\u00e9nt 25%-kal t\u00f6bb CUDA maggal rendelkezik, mik\u00f6zben a TU106 410 mm\u00b2-es ter\u00fclet\u00e9vel szemben csak 314 mm\u00b2-t foglal el. <\/p>\n

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Forr\u00e1s: 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\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\udd47A tensor- \u00e9s RT-magok nem foglalnak el t\u00fal sok helyet az NVIDIA Turing grafikus processzorain.","description":"M\u00e1r a GeForce RTX 20-as sorozat els\u0151 grafikus k\u00e1rty\u00e1inak bejelent\u00e9sekor sokan azt gondolt\u00e1k, hogy a Turing grafikus processzorok meglehet\u0151sen nagy m\u00e9reteit a tov\u00e1bbi egys\u00e9gek, mint az RT- \u00e9s a tensor magok, okozz\u00e1k.","canonical_url":"https:\/\/prohoster.info\/hu\/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":"hu_HU","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 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\u044f\u0434\u0435\u0440.","og:url":"https:\/\/prohoster.info\/hu\/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 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