{"id":13155,"date":"2026-10-28T11:37:32","date_gmt":"2026-10-28T08:37:32","guid":{"rendered":"https:\/\/www.itopya.com\/blog\/?p=13155"},"modified":"2026-10-28T11:37:32","modified_gmt":"2026-10-28T08:37:32","slug":"nvidia-rtx-20-30-ve-40-serisinde-gizli-performans-ortaya-cikti-yapay-zeka-hizi-iki-katina-cikabiliyor","status":"publish","type":"post","link":"https:\/\/www.itopya.com\/blog\/nvidia-rtx-20-30-ve-40-serisinde-gizli-performans-ortaya-cikti-yapay-zeka-hizi-iki-katina-cikabiliyor\/","title":{"rendered":"NVIDIA RTX 20, 30 ve 40 Serisinde Gizli Performans Ortaya \u00c7\u0131kt\u0131: Yapay Zek\u00e2 H\u0131z\u0131 \u0130ki Kat\u0131na \u00c7\u0131kabiliyor!"},"content":{"rendered":"<h2><strong>NVIDIA&#8217;n\u0131n RTX 20, RTX 30 ve RTX 40 serisi ekran kartlar\u0131, ke\u015ffedilen yeni y\u00f6ntemlerle yeniden g\u00fcndemde.<\/strong><\/h2>\n<p>Ba\u011f\u0131ms\u0131z geli\u015ftiricilerin ortaya \u00e7\u0131kard\u0131\u011f\u0131 yaz\u0131l\u0131msal y\u00f6ntemler sayesinde baz\u0131 yapay zek\u00e2 i\u015flemlerinde performans\u0131n neredeyse iki kat\u0131na \u00e7\u0131kar\u0131labildi\u011fi belirtiliyor. \u00dcstelik bu art\u0131\u015f i\u00e7in ekran kart\u0131n\u0131n fiziksel olarak de\u011fi\u015ftirilmesi gerekmiyor.<\/p>\n<h3><strong>RTX Ekran Kartlar\u0131nda Yapay Zek\u00e2 Performans\u0131 Nas\u0131l Art\u0131r\u0131l\u0131yor?<\/strong><\/h3>\n<p>Geli\u015ftiricilerin \u00fczerinde \u00e7al\u0131\u015ft\u0131\u011f\u0131 y\u00f6ntemler, NVIDIA ekran kartlar\u0131nda bulunan Tensor \u00e7ekirdeklerinin belirli hesaplamalar\u0131 ger\u00e7ekle\u015ftirme bi\u00e7imine odaklan\u0131yor.<\/p>\n<p>Turing Unlock, GPU Unlock ve GPU Unlock Ada isimli a\u00e7\u0131k kaynakl\u0131 projeler, ekran kartlar\u0131n\u0131n baz\u0131 d\u00fc\u015f\u00fck seviyeli yap\u0131land\u0131rma ayarlar\u0131n\u0131 de\u011fi\u015ftirerek belirli matematiksel i\u015flemlerin daha y\u00fcksek h\u0131zlarda ger\u00e7ekle\u015ftirilmesini sa\u011fl\u0131yor.<\/p>\n<p>Bu y\u00f6ntemlerin en dikkat \u00e7ekici taraf\u0131 ise yeni bir ekran kart\u0131na ihtiya\u00e7 duyulmadan mevcut donan\u0131m\u0131n baz\u0131 yapay zek\u00e2 i\u015f y\u00fcklerinde daha y\u00fcksek performans sunabilmesi.<\/p>\n<h3><strong>RTX 2080 Ti, RTX 3090 Ti ve RTX 4090 Performans\u0131 Ne Kadar Artt\u0131?<\/strong><\/h3>\n<p>Payla\u015f\u0131lan test sonu\u00e7lar\u0131nda \u00f6zellikle \u00fc\u00e7 ekran kart\u0131 \u00f6ne \u00e7\u0131k\u0131yor:<\/p>\n<table style=\"height: 147px;\" width=\"470\">\n<tbody>\n<tr>\n<th>Ekran Kart\u0131<\/th>\n<th>\u00d6nceki Performans<\/th>\n<th>Yeni Performans<\/th>\n<\/tr>\n<tr>\n<td>RTX 2080 Ti<\/td>\n<td>59,9 TFLOPS<\/td>\n<td>111 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td>RTX 3090 Ti<\/td>\n<td>87,5 TFLOPS<\/td>\n<td>157,4 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td>RTX 4090<\/td>\n<td>165,6 TFLOPS<\/td>\n<td>331,6 TFLOPS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Belirli Tensor hesaplamalar\u0131na ait bu sonu\u00e7lara g\u00f6re RTX 4090, yakla\u015f\u0131k iki kat performansa ula\u015fabiliyor. RTX 3090 Ti taraf\u0131nda ise yakla\u015f\u0131k %80 seviyesinde bir art\u0131\u015f dikkat \u00e7ekiyor.<\/p>\n<p>Ancak bu de\u011ferler ekran kartlar\u0131n\u0131n genel performans\u0131n\u0131 temsil etmiyor. Kazan\u0131mlar, kullan\u0131lan veri t\u00fcr\u00fcne ve ger\u00e7ekle\u015ftirilen yapay zek\u00e2 i\u015flemine g\u00f6re de\u011fi\u015febiliyor.<\/p>\n<h3><strong>Oyunlarda FPS Art\u0131\u015f\u0131 Sa\u011flanacak m\u0131?<\/strong><\/h3>\n<p>Geli\u015fmenin ard\u0131ndan oyuncular\u0131n merak etti\u011fi konulardan biri de bu y\u00f6ntemlerin oyun performans\u0131na etkisi oldu.<\/p>\n<p>Ancak ke\u015ffedilen y\u00f6ntemler do\u011frudan oyunlarda FPS art\u0131rmay\u0131 hedeflemiyor. Yap\u0131lan \u00e7al\u0131\u015fmalar daha \u00e7ok Tensor \u00e7ekirdekleri \u00fczerinden ger\u00e7ekle\u015ftirilen yapay zek\u00e2 hesaplamalar\u0131na odaklan\u0131yor.<\/p>\n<p>Bu nedenle RTX 20, 30 veya 40 serisi ekran kartlar\u0131nda oyun performans\u0131n\u0131n iki kat\u0131na \u00e7\u0131kmas\u0131 beklenmiyor. DLSS performans\u0131nda da benzer bir art\u0131\u015f sa\u011fland\u0131\u011f\u0131na ili\u015fkin do\u011frulanm\u0131\u015f sonu\u00e7lar bulunmuyor.<\/p>\n<h3><strong>Yapay Zek\u00e2 Uygulamalar\u0131nda Neler De\u011fi\u015febilir?<\/strong><\/h3>\n<p>Bu geli\u015fme \u00f6zellikle bilgisayar\u0131nda yerel yapay zek\u00e2 modelleri \u00e7al\u0131\u015ft\u0131ran kullan\u0131c\u0131lar\u0131 ilgilendiriyor.<\/p>\n<p>B\u00fcy\u00fck dil modelleri, yapay zek\u00e2 destekli i\u00e7erik \u00fcretimi ve yo\u011fun matris hesaplamalar\u0131 gerektiren uygulamalarda belirli performans kazan\u0131mlar\u0131 elde edilebiliyor.<\/p>\n<p>Payla\u015f\u0131lan baz\u0131 testlerde b\u00fcy\u00fck dil modellerinin komut i\u015fleme a\u015famas\u0131nda %14 ile %36 aras\u0131nda h\u0131zlanma g\u00f6zlemlenirken, metin \u00fcretim h\u0131z\u0131ndaki kazan\u0131mlar\u0131n daha s\u0131n\u0131rl\u0131 kald\u0131\u011f\u0131 belirtiliyor.<\/p>\n<h3><strong>Yeni Y\u00f6ntemler Windows Kullan\u0131c\u0131lar\u0131na Sunulacak m\u0131?<\/strong><\/h3>\n<p>Geli\u015ftirilen ara\u00e7lar \u015fu anda a\u011f\u0131rl\u0131kl\u0131 olarak Linux ortam\u0131nda deneniyor. Windows taraf\u0131nda ise \u00e7al\u0131\u015fmalar hen\u00fcz deneysel a\u015famada.<\/p>\n<p>Ayr\u0131ca bu y\u00f6ntemlerin NVIDIA taraf\u0131ndan resm\u00ee olarak desteklenmedi\u011fini belirtmek gerekiyor. D\u00fc\u015f\u00fck seviyeli donan\u0131m ayarlar\u0131n\u0131n de\u011fi\u015ftirilmesi karars\u0131zl\u0131k, a\u00e7\u0131l\u0131\u015f sorunlar\u0131 ve farkl\u0131 teknik risklere yol a\u00e7abiliyor.<\/p>\n<p>Dolay\u0131s\u0131yla s\u00f6z konusu ara\u00e7lar hen\u00fcz g\u00fcnl\u00fck kullan\u0131m i\u00e7in \u00f6nerilebilecek standart bir performans art\u0131rma y\u00f6ntemi de\u011fil.<\/p>\n<h3><strong>Eski RTX Ekran Kartlar\u0131 Yapay Zek\u00e2 \u0130\u00e7in Yeniden \u00d6nem Kazanabilir<\/strong><\/h3>\n<p>RTX 20 ve RTX 30 serisi gibi \u00f6nceki nesil ekran kartlar\u0131nda elde edilen sonu\u00e7lar, mevcut donan\u0131mlar\u0131n yapay zek\u00e2 taraf\u0131ndaki potansiyelini yeniden g\u00fcndeme ta\u015f\u0131d\u0131.<\/p>\n<p>\u00d6zellikle yerel yapay zek\u00e2 uygulamalar\u0131na ilgi duyan kullan\u0131c\u0131lar i\u00e7in bu geli\u015fme dikkat \u00e7ekici olsa da performans art\u0131\u015f\u0131n\u0131n her uygulamada ayn\u0131 seviyede ger\u00e7ekle\u015fmedi\u011fini unutmamak gerekiyor.<\/p>\n<p>Geli\u015ftiricilerin \u00e7al\u0131\u015fmalar\u0131n\u0131 s\u00fcrd\u00fcrmesiyle birlikte \u00f6n\u00fcm\u00fczdeki d\u00f6nemde daha fazla ekran kart\u0131nda ve farkl\u0131 yapay zek\u00e2 uygulamalar\u0131nda yeni test sonu\u00e7lar\u0131 g\u00f6rebiliriz.<\/p>\n<p><strong>Yapay zek\u00e2 \u00e7al\u0131\u015fmalar\u0131na uygun g\u00fcncel <a href=\"https:\/\/www.itopya.com\/ai-ekran-kartlari_k222\">NVIDIA GeForce RTX ekran kartlar\u0131<\/a>n\u0131 itopya&#8217;da inceleyebilirsiniz.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<div class=\"tmnf_excerpt meta_deko\"><p>NVIDIA&#8217;n\u0131n RTX 20, RTX 30 ve RTX 40 serisi ekran kartlar\u0131, ke\u015ffedilen yeni y\u00f6ntemlerle yeniden g\u00fcndemde. Ba\u011f\u0131ms\u0131z geli\u015ftiricilerin ortaya \u00e7\u0131kard\u0131\u011f\u0131 yaz\u0131l\u0131msal y\u00f6ntemler sayesinde baz\u0131 yapay zek\u00e2 i\u015flemlerinde performans\u0131n neredeyse iki kat\u0131na \u00e7\u0131kar\u0131labildi\u011fi belirtiliyor. \u00dcstelik bu art\u0131\u015f i\u00e7in ekran kart\u0131n\u0131n fiziksel olarak de\u011fi\u015ftirilmesi gerekmiyor. RTX Ekran Kartlar\u0131nda Yapay Zek\u00e2 Performans\u0131 Nas\u0131l Art\u0131r\u0131l\u0131yor? Geli\u015ftiricilerin \u00fczerinde \u00e7al\u0131\u015ft\u0131\u011f\u0131 y\u00f6ntemler, &hellip;<\/p>\n<\/div>","protected":false},"author":1,"featured_media":13156,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[81],"tags":[],"class_list":["post-13155","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ekran-karti"],"_links":{"self":[{"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/posts\/13155","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/comments?post=13155"}],"version-history":[{"count":1,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/posts\/13155\/revisions"}],"predecessor-version":[{"id":13157,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/posts\/13155\/revisions\/13157"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/media\/13156"}],"wp:attachment":[{"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/media?parent=13155"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/categories?post=13155"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.itopya.com\/blog\/wp-json\/wp\/v2\/tags?post=13155"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}