{"id":32523,"date":"2019-10-31T21:47:31","date_gmt":"2019-10-31T18:47:31","guid":{"rendered":"https:\/\/prohoster.info\/blog\/geforce-gtx-1650-poluchila-kodirovshhik-video-proshlogo-pokoleniya\/"},"modified":"2019-10-31T21:47:31","modified_gmt":"2019-10-31T18:47:31","slug":"geforce-gtx-1650-poluchila-kodirovshhik-video-proshlogo-pokoleniya","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/novosti-interneta\/geforce-gtx-1650-poluchila-kodirovshhik-video-proshlogo-pokoleniya","title":{"rendered":"GeForce GTX 1650 sai eelk\u00e4ija videokodeerijat","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

P\u00e4rast eilset GeForce GTX 1650 grafikaardiga seotud avaldust selgus, et selle Turing TU117 graafikaprotsessor erineb oma vanematest \u201evendadest\u201c Turingi p\u00f5lvkonnas mitte ainult v\u00e4iksema CUDA tuumade arvuga, vaid ka teistsuguse NVENC video kodeerijaga.<\/p>\n

\"GeForce<\/p>\n

NVIDIA ise m\u00e4rkis, et GeForce GTX 1650 grafikaardi graafikaprotsessor omab k\u00f5iki Turingi arhitektuuri eeliseid. See t\u00e4hendab, et kasutaja saab nautida t\u00e4isarvuliste operatsioonide ja ujukomaga operatsioonide samal ajal t\u00f6\u00f6tamise toetust, \u00fchtse vahem\u00e4lu arhitektuuri ning adaptiivse varjutamise toetust koos t\u00e4iustatud Turingi varjutajatega. K\u00f5ik see aitab suurendada m\u00e4ngude j\u00f5udlust.<\/p>\n

\"GeForce<\/p>\n

Siiski eeldab Turingi graafiline arhitektuur uuendatud NVENC video kodeerijat, mis pakub 15% k\u00f5rgemat kodeerimise efektiivsust ning aitab v\u00e4ltida artefaktide tekkimist salvestamise v\u00f5i voogedastamise ajal. Kuid hoolimata sellest, et TU117 on ehitatud Turingi arhitektuuril, kasutatakse selles vana versiooni kodeerijast.<\/p>\n

Selgus, et uuendus sisaldab sama kodeerijat nagu Volta graafikaprotsessoritel, mist\u00f5ttu tal ei ole Turingi p\u00f5lvkonna kodeerija eeliseid. \u00dcks t\u00e4helepanelik kasutaja m\u00e4rkas seda ja p\u00f6\u00f6rdus selgituste saamiseks NVIDIA poole. Ettev\u00f5te kinnitas, et uue GPU NVENC plokk on t\u00f5eliselt rohkem sarnane Pascal graafikaprotsessorite (GTX 10-seeria) versiooniga, mitte teiste Turingi p\u00f5lvkonna GPU-de kodeerijatega. See t\u00e4hendab, et GeForce GTX 1650 kasutajad saavad video kodeerimiseks v\u00e4hem v\u00f5imeid kui teiste GeForce GTX 16-seeria ja RTX 20-seeria graafikakaartide kasutajad.<\/p>\n

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

Tegelikult on vana kodeerija versiooni kasutamine veel \u00fcks eriskummaline aspekt, mis on seotud GeForce GTX 1650 graafikakaardiga. Vana NVENC-i kasutamine ei saanud t\u00f5en\u00e4oliselt kuidagi oluliselt m\u00f5jutada GPU tootmiskulusid ega v\u00f5imaldada NVIDIA-l graafikakaarti odavamaks teha. Teine eriskummaline asi, mida meeles pidada, on see, et <\/a>NVIDIA ei varustanud \u00fclevaatajaid<\/a><\/noindex> driiveritega GeForce GTX 1650 testimiseks.<\/p>\n

Samas, NVIDIA s\u00f5nul on Volta p\u00f5lvkonna kodeerijal piisav funktsionaalsus. See v\u00f5imaldab laadida keskprotsessorilt koormust ning samal ajal m\u00e4ngida ja edastada m\u00e4ngu metoodikas kuni 4K resolutsioonis. Ja seda hoolimata sellest, et GeForce GTX 1650 ei ole ilmselgelt suuteline 4K m\u00e4ngudega toimetama.<\/p>\n

<\/p>\n

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\t\t\t\t


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

\u041f\u043e\u0441\u043b\u0435 \u0432\u0447\u0435\u0440\u0430\u0448\u043d\u0435\u0433\u043e \u0440\u0435\u043b\u0438\u0437\u0430 \u0432\u0438\u0434\u0435\u043e\u043a\u0430\u0440\u0442\u044b GeForce GTX 1650 \u0432\u044b\u044f\u0441\u043d\u0438\u043b\u043e\u0441\u044c, \u0447\u0442\u043e \u0435\u0451 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 Turing TU117 \u043e\u0442\u043b\u0438\u0447\u0430\u0435\u0442\u0441\u044f \u043e\u0442 \u0441\u0432\u043e\u0438\u0445 \u0441\u0442\u0430\u0440\u0448\u0438\u0445 \u00ab\u0441\u043e\u0431\u0440\u0430\u0442\u044c\u0435\u0432\u00bb \u043f\u043e\u043a\u043e\u043b\u0435\u043d\u0438\u044f Turing \u043d\u0435 \u0442\u043e\u043b\u044c\u043a\u043e \u043c\u0435\u043d\u044c\u0448\u0438\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e\u043c \u044f\u0434\u0435\u0440 CUDA, \u043d\u043e \u0438 \u0434\u0440\u0443\u0433\u0438\u043c \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u044b\u043c \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0449\u0438\u043a\u043e\u043c \u0432\u0438\u0434\u0435\u043e NVENC. \u041a\u0430\u043a \u043e\u0442\u043c\u0435\u0447\u0430\u0435\u0442 \u0441\u0430\u043c\u0430 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f NVIDIA, \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 \u0432\u0438\u0434\u0435\u043e\u043a\u0430\u0440\u0442\u044b GeForce GTX 1650 \u043e\u0431\u043b\u0430\u0434\u0430\u0435\u0442 \u0432\u0441\u0435\u043c\u0438 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430\u043c\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b Turing. \u042d\u0442\u043e \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442, \u0447\u0442\u043e \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c \u043f\u043e\u043b\u0443\u0447\u0438\u0442 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":24323,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-32523","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-interneta"],"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\udd47GeForce GTX 1650 sai eelmise p\u00f5lvkonna video kodeerija | ProHoster","description":"Eile p\u00e4rast GeForce GTX 1650 graafikakaardi v\u00e4ljakuulutamist selgus, et selle Turing TU117 protsessor erineb oma vanematest \"vendadest\" Turingi p\u00f5lvkonnas mitte ainult v\u00e4iksema CUDA tuumade arvuga, vaid ka teistsuguse NVENC videokodeerijaga. Nagu mainib ettev\u00f5te NVIDIA ise, on GeForce GTX 1650 graafikakaardi protsessoril k\u00f5ik Turingi arhitektuuri eelised. See t\u00e4hendab, et kasutaja saab","canonical_url":"https:\/\/prohoster.info\/et\/blog\/novosti-interneta\/geforce-gtx-1650-poluchila-kodirovshhik-video-proshlogo-pokoleniya","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"et_EE","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\udd47GeForce GTX 1650 \u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0430 \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0449\u0438\u043a \u0432\u0438\u0434\u0435\u043e \u043f\u0440\u043e\u0448\u043b\u043e\u0433\u043e \u043f\u043e\u043a\u043e\u043b\u0435\u043d\u0438\u044f | ProHoster","og:description":"\u041f\u043e\u0441\u043b\u0435 \u0432\u0447\u0435\u0440\u0430\u0448\u043d\u0435\u0433\u043e \u0440\u0435\u043b\u0438\u0437\u0430 \u0432\u0438\u0434\u0435\u043e\u043a\u0430\u0440\u0442\u044b GeForce GTX 1650 \u0432\u044b\u044f\u0441\u043d\u0438\u043b\u043e\u0441\u044c, \u0447\u0442\u043e \u0435\u0451 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 Turing TU117 \u043e\u0442\u043b\u0438\u0447\u0430\u0435\u0442\u0441\u044f \u043e\u0442 \u0441\u0432\u043e\u0438\u0445 \u0441\u0442\u0430\u0440\u0448\u0438\u0445 \u00ab\u0441\u043e\u0431\u0440\u0430\u0442\u044c\u0435\u0432\u00bb \u043f\u043e\u043a\u043e\u043b\u0435\u043d\u0438\u044f Turing \u043d\u0435 \u0442\u043e\u043b\u044c\u043a\u043e \u043c\u0435\u043d\u044c\u0448\u0438\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e\u043c \u044f\u0434\u0435\u0440 CUDA, \u043d\u043e \u0438 \u0434\u0440\u0443\u0433\u0438\u043c \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u043d\u044b\u043c \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0449\u0438\u043a\u043e\u043c \u0432\u0438\u0434\u0435\u043e NVENC. \u041a\u0430\u043a \u043e\u0442\u043c\u0435\u0447\u0430\u0435\u0442 \u0441\u0430\u043c\u0430 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f NVIDIA, \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440 \u0432\u0438\u0434\u0435\u043e\u043a\u0430\u0440\u0442\u044b GeForce GTX 1650 \u043e\u0431\u043b\u0430\u0434\u0430\u0435\u0442 \u0432\u0441\u0435\u043c\u0438 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430\u043c\u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b Turing. \u042d\u0442\u043e \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442, \u0447\u0442\u043e \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c \u043f\u043e\u043b\u0443\u0447\u0438\u0442","og:url":"https:\/\/prohoster.info\/et\/blog\/novosti-interneta\/geforce-gtx-1650-poluchila-kodirovshhik-video-proshlogo-pokoleniya","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":"2019-10-31T18:47:31+00:00","article:modified_time":"2019-10-31T18:47:31+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"32523","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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