{"id":19435,"date":"2026-01-23T08:02:01","date_gmt":"2026-01-23T05:02:01","guid":{"rendered":"https:\/\/lima.com.tr\/?p=19435"},"modified":"2026-01-23T13:36:38","modified_gmt":"2026-01-23T10:36:38","slug":"neousys-nuvo-10109gc-kenar-yapay-zeka-bilgisayari","status":"publish","type":"post","link":"https:\/\/lima.com.tr\/en\/neousys-nuvo-10109gc-kenar-yapay-zeka-bilgisayari\/","title":{"rendered":"Neousys Nuvo-10109GC Kenar Yapay Zeka Bilgisayar\u0131"},"content":{"rendered":"
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Intel\u00ae 14. Nesil \u0130\u015flemci, 600W GPU Blackwell Deste\u011fi, MIL-STD-810H<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Nuvo-10109GC<\/strong>, Neousys’in NVIDIA<\/strong>‘n\u0131n en yeni 600W Blackwell<\/strong> GPU’su i\u00e7in tasarlad\u0131\u011f\u0131 bir kenar yapay zeka platformunudur. FP4 LLM \u00e7\u0131kar\u0131m\u0131 ve \u00fcretken yapay zeka i\u00e7in 4000 AI TOPS’a kadar veya otonom s\u00fcr\u00fc\u015f ve yapay zeka tabanl\u0131 bilgisayar g\u00f6r\u00fc\u015f\u00fc uygulamalar\u0131 i\u00e7in 125 TFLOPS’a kadar performans sunar.<\/p>

Farkl\u0131 ko\u015fullarda 600W’l\u0131k bir GPU’yu desteklemek i\u00e7in Nuvo-10109GC, hem sistemin hem de GPU’nun y\u00fcksek g\u00fc\u00e7 gereksinimlerini kar\u015f\u0131layan, yeterli g\u00fc\u00e7 kapasitesi ve geli\u015fmi\u015f anl\u0131k tepki sa\u011flayan yepyeni bir g\u00fc\u00e7 \u00fcnitesi tasar\u0131m\u0131na sahiptir. 9V ila 32V DC geni\u015f voltaj aral\u0131\u011f\u0131nda tam nominal g\u00fc\u00e7 \u00e7\u0131k\u0131\u015f\u0131n\u0131 koruyarak 12V ve 24V kullanan ara\u00e7lar\u0131n g\u00fc\u00e7 kaynaklar\u0131yla do\u011frudan uyumluluk sa\u011flar. Voltaj dalgalanmalar\u0131 alt\u0131nda kararl\u0131 \u00e7al\u0131\u015fma g\u00fcvencesi sa\u011flar. Bu \u00f6zellikler Nuvo-10109GC’yi zorlu ko\u015fullardaki mobil uygulamalarda g\u00fcvenle kullanmaya olanak sa\u011flar.<\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Nuvo-10109GC-Blackwell-Gpu-Platformu\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Zorlu ortamlar i\u00e7in tasarlanan bu \u00fcr\u00fcn, darbelere, titre\u015fimlere ve s\u00fcrekli yol kullan\u0131m\u0131na kar\u015f\u0131 yap\u0131sal g\u00fcvenilirli\u011fi sa\u011flamak i\u00e7in g\u00fc\u00e7lendirilmi\u015f kasas\u0131, geli\u015ftirilmi\u015f bir GPU tutma mekanizmas\u0131 ve titre\u015fim s\u00f6n\u00fcmleme donan\u0131m\u0131 i\u00e7erir. GPU tutma braketleri, genellikle 2 kg veya daha fazla a\u011f\u0131rl\u0131\u011fa sahip g\u00fcn\u00fcm\u00fcz GPU’lar\u0131n\u0131 g\u00fcvenli bir \u015fekilde sabitlemek ve ayn\u0131 zamanda MIL-STD-810H standartlar\u0131na uymak i\u00e7in \u00f6zel olarak tasarlanm\u0131\u015ft\u0131r.<\/p>

\u00a0<\/p>

GPU kurulum yuvas\u0131na ek olarak, \u00fc\u00e7 adet Gen3x4 PCIe yuvas\u0131 sunar. Bu sayede sistem b\u00fct\u00fcnle\u015ftiriciler GMSL2 kameralar,\u00a0 Ethernet adapt\u00f6rleri veya yapay g\u00f6rme kamerlar\u0131 gibi fakl\u0131 se\u00e7enekler ekleyerek farkl\u0131 sistemler olu\u015fturabilir.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Zengin y\u00fcksek bant geni\u015fli\u011fine sahip G\/\u00c7 geni\u015fletme aray\u00fczleri sayesinde, modern yapay zeka modelleri ve \u00e7oklu sens\u00f6r f\u00fczyonu taraf\u0131ndan ihtiya\u00e7 duyulan b\u00fcy\u00fck veri ak\u0131\u015flar\u0131n\u0131 i\u015fleyebilir. \u0130leti\u015fim i\u00e7in 10 GbE ve 1 GbE Ethernet portlar\u0131na, \u00f6nden eri\u015filebilir 2,5 in\u00e7 SATA s\u00fcr\u00fcc\u00fc yuvas\u0131na ve ger\u00e7ek zamanl\u0131 veri kayd\u0131 i\u00e7in iste\u011fe ba\u011fl\u0131 M.2 2280 Gen4x4 NVMe yuvas\u0131na sahiptir.\u00a0<\/p>

Ayr\u0131ca, GPU yuvas\u0131n\u0131n \u00f6tesinde \u00fc\u00e7 adet ekstra Gen3x4 PCIe yuvas\u0131 sa\u011flayarak sistem entegrat\u00f6rlerinin GMSL2 kamera yakalama kartlar\u0131, otomotiv Ethernet aray\u00fczleri, y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fckl\u00fc kare yakalay\u0131c\u0131lar veya di\u011fer alana \u00f6zg\u00fc mod\u00fclleri eklemesine olanak tan\u0131r.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t

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Elektriksel ve mekanik dayanam\u0131, geni\u015f geni\u015fleme olanaklar\u0131yla birle\u015ftiren Nuvo-10109GC<\/b>,kenar yapay zeka bilgi i\u015fleme alan\u0131nda \u00f6nemli bir d\u00f6n\u00fcm noktas\u0131d\u0131r. Hem sabit uygulamalarda, hem de zorlu mobil ortamlarda yeni nesil yapay zeka uygulamalar\u0131 i\u00e7in gereken performans\u0131, kararl\u0131l\u0131\u011f\u0131 ve \u00f6l\u00e7eklenebilirli\u011fi sunmaktad\u0131r.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tEk \u00dcr\u00fcn Bilgisi<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Intel\u00ae 14. Nesil \u0130\u015flemci, 600W GPU Blackwell Deste\u011fi, MIL-STD-810H Nuvo-10109GC, Neousys’in NVIDIA‘n\u0131n en yeni 600W Blackwell GPU’su i\u00e7in tasarlad\u0131\u011f\u0131 bir kenar yapay zeka platformunudur. FP4 LLM \u00e7\u0131kar\u0131m\u0131 ve \u00fcretken yapay zeka i\u00e7in 4000 AI TOPS’a kadar veya otonom s\u00fcr\u00fc\u015f ve yapay zeka tabanl\u0131 bilgisayar g\u00f6r\u00fc\u015f\u00fc uygulamalar\u0131 i\u00e7in 125 TFLOPS’a kadar performans sunar. Farkl\u0131 ko\u015fullarda 600W’l\u0131k […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3930],"tags":[4261,3942,4263,4159,4262],"class_list":["post-19435","post","type-post","status-publish","format-standard","hentry","category-yapay-zeka","tag-blackwell","tag-neousys","tag-otomotiv","tag-yapay-zeka","tag-yapaygorme"],"_links":{"self":[{"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/posts\/19435","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/comments?post=19435"}],"version-history":[{"count":5,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/posts\/19435\/revisions"}],"predecessor-version":[{"id":19501,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/posts\/19435\/revisions\/19501"}],"wp:attachment":[{"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/media?parent=19435"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/categories?post=19435"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/tags?post=19435"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}