{"id":111243,"date":"2025-05-11T03:48:08","date_gmt":"2025-05-11T03:48:08","guid":{"rendered":"https:\/\/kamucalisani.net\/?p=111243"},"modified":"2025-05-11T03:48:08","modified_gmt":"2025-05-11T03:48:08","slug":"amd-nvidiayi-yakalamanin-formulunu-buldu","status":"publish","type":"post","link":"https:\/\/kamucalisani.net\/index.php\/2025\/05\/11\/amd-nvidiayi-yakalamanin-formulunu-buldu\/","title":{"rendered":"AMD, Nvidia\u2019y\u0131 yakalaman\u0131n form\u00fcl\u00fcn\u00fc buldu"},"content":{"rendered":"

<\/span> Grafik i\u015flemci d\u00fcnyas\u0131nda Nvidia, y\u00fcksek performans, geni\u015f \u00f6zellik yelpazesi ve g\u00fc\u00e7l\u00fc marka tan\u0131n\u0131rl\u0131\u011f\u0131 ile pazara liderlik ediyor. Yapay zeka ve makine \u00f6\u011frenimi temelli teknolojilerdeki geli\u015fmi\u015f \u00e7\u00f6z\u00fcmleri sayesinde Nvidia, \u00f6zellikle t\u00fcketici pazar\u0131nda \u00f6nc\u00fc konumda bulunuyor. Ancak AMD<\/strong>, bu dengesizli\u011fi yak\u0131nda de\u011fi\u015ftirmeyi ama\u00e7l\u0131yor. <\/figure>\n

AMD\u2019nin Nvidia\u2019y\u0131 yakalama hamlesi<\/b><\/p>\n

<\/span> Aktar\u0131lanlara g\u00f6re AMD ara\u015ft\u0131rmalar\u0131 \u015fu anda n\u00f6ral a\u011f\u0131 <\/strong>\u00e7\u00f6z\u00fcmleri arac\u0131l\u0131\u011f\u0131yla RDNA GPU’larda ger\u00e7ek zamanl\u0131 yol izleme<\/strong> elde etmeye odaklanm\u0131\u015f durumda. Nvidia, yapay zeka destekli g\u00f6r\u00fcnt\u00fc y\u00fckseltme ve g\u00fcr\u00fclt\u00fc giderme i\u00e7in DLSS teknolojisini kullan\u0131rken, AMD\u2019nin son ara\u015ft\u0131rmalar\u0131 da benzer bir \u00e7\u00f6z\u00fcm\u00fc hedefliyor. \u00d6zellikle, s\u0131n\u0131rl\u0131 \u0131\u015f\u0131n \u00f6rnekleme nedeniyle olu\u015fan parazitli g\u00f6r\u00fcnt\u00fcleri temizlemek i\u00e7in n\u00f6ral g\u00fcr\u00fclt\u00fc giderme algoritmalar\u0131 \u00fczerinde \u00e7al\u0131\u015f\u0131yor. AMD\u2019nin yakla\u015f\u0131m\u0131, sahne detaylar\u0131n\u0131 yeniden in\u015fa ederken g\u00fcr\u00fclt\u00fcy\u00fc gidermeyi hedefliyor<\/strong> ve bu da Nvidia\u2019n\u0131n DLSS 3.5 ile sundu\u011fu Ray Reconstruction tekni\u011fine benzer bir y\u00f6ntem olarak \u00f6ne \u00e7\u0131k\u0131yor. <\/figure>\n
<\/span> Bilindi\u011fi \u00fczere yol izleme, her piksel i\u00e7in binlerce \u0131\u015f\u0131n hesaplamas\u0131 yap\u0131lmas\u0131n\u0131 gerektiren, kaliteli g\u00f6rseller elde etmek i\u00e7in kullan\u0131lan bir y\u00f6ntem. Bir sahne, \u0131\u015f\u0131\u011f\u0131n bir\u00e7ok farkl\u0131 y\u00fczeye \u00e7arp\u0131p yans\u0131mas\u0131yla detayland\u0131r\u0131l\u0131rken, al\u0131nan her \u00f6rnek pikselde farkl\u0131 renk sonu\u00e7lar\u0131 ortaya \u00e7\u0131kabilir. Bu y\u00f6ntemi ger\u00e7ek zamanl\u0131 oyunlara uygulamak ise i\u015flem say\u0131s\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde azaltmay\u0131 zorunlu k\u0131l\u0131yor, ancak bu da parazitli (g\u00fcr\u00fclt\u00fcl\u00fc) g\u00f6r\u00fcnt\u00fclere neden oluyor. <\/figure>\n

AMD, bu sorunu n\u00f6ral a\u011f destekli bir \u00e7\u00f6z\u00fcmle gidermeyi ama\u00e7l\u0131yor. N\u00f6ral a\u011f, g\u00f6r\u00fcnt\u00fcdeki g\u00fcr\u00fclt\u00fcy\u00fc azalt\u0131rken sahne detaylar\u0131n\u0131 yeniden olu\u015fturmay\u0131 hedefliyor. Geni\u015f bir pencereden bakt\u0131\u011f\u0131m\u0131zda AMD, yapay zeka ile g\u00fcr\u00fclt\u00fc giderme ve g\u00f6r\u00fcnt\u00fc y\u00fckseltme i\u015flemlerini tek bir n\u00f6ral a\u011f \u00e7\u00f6z\u00fcm\u00fc i\u00e7erisinde birle\u015ftirerek kullan\u0131c\u0131lar\u0131na y\u00fcksek kaliteli, g\u00fcr\u00fclt\u00fcs\u00fcz ve super-sampling uygulanm\u0131\u015f g\u00f6rseller sunmay\u0131 ama\u00e7l\u0131yor.<\/p>\n\n

Kaynak\u00a0 :\u00a0https:\/\/www.donanimhaber.com\/amd-nvidia-yi-yakalamanin-formulunu-buldu–183643<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Grafik i\u015flemci d\u00fcnyas\u0131nda Nvidia, y\u00fcksek performans, geni\u015f \u00f6zellik yelpazesi ve g\u00fc\u00e7l\u00fc marka tan\u0131n\u0131rl\u0131\u011f\u0131 ile pazara liderlik ediyor. Yapay zeka ve makine \u00f6\u011frenimi temelli teknolojilerdeki geli\u015fmi\u015f \u00e7\u00f6z\u00fcmleri sayesinde Nvidia, \u00f6zellikle t\u00fcketici …<\/p>\n","protected":false},"author":1,"featured_media":111244,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[68,7365,1407,5779],"class_list":["post-111243","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-amd","tag-giderme","tag-goruntu","tag-gurultu"],"_links":{"self":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/111243","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/comments?post=111243"}],"version-history":[{"count":1,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/111243\/revisions"}],"predecessor-version":[{"id":111248,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/111243\/revisions\/111248"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media\/111244"}],"wp:attachment":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media?parent=111243"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/categories?post=111243"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/tags?post=111243"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}