Yapay zeka fabrikalar\u0131nda i\u015f yo\u011funlu\u011fu, karma\u015f\u0131kl\u0131\u011f\u0131 ve enerji talebi artt\u0131k\u00e7a, operat\u00f6rler devreye alma s\u00fcresini\u00a0k\u0131saltma, altyap\u0131 kullan\u0131m\u0131n\u0131 iyile\u015ftirme ve entegrasyon riskini azaltma konusunda bask\u0131 alt\u0131nda kal\u0131yorlar.\u00a0Karma\u015f\u0131kl\u0131\u011f\u0131 azaltmak, kurulum \u00f6ncesinde g\u00fcvenilirli\u011fi art\u0131rmak ve kapasiteye ula\u015fma s\u00fcresini h\u0131zland\u0131rmak\u00a0gibi geli\u015fen ihtiya\u00e7lar\u0131 kar\u015f\u0131lamak i\u00e7in yeni bir altyap\u0131 tasar\u0131m yakla\u015f\u0131m\u0131 art\u0131k mevcut. Vertiv, NVIDIA ile yapt\u0131\u011f\u0131\u00a0i\u015f birli\u011fi sayesinde, m\u00fc\u015fterilerin yapay zek\u00e2 fabrikalar\u0131n\u0131 daha h\u0131zl\u0131 ve daha y\u00fcksek operasyonel g\u00fcvenceyle\u00a0devreye almalar\u0131na yard\u0131mc\u0131 olmak \u00fczere tasarlanm\u0131\u015f, sim\u00fclasyona haz\u0131r (DSX SimReady) dijital g\u00fc\u00e7 ve\u00a0so\u011futma sistemleri, do\u011frulanm\u0131\u015f aray\u00fczler ve tekrar tekrar kullan\u0131labilen altyap\u0131 bile\u015fenlerini sunuyor.<\/p>\n
Bu proje, Vertiv’in entegre edilmi\u015f fiziksel altyap\u0131lara y\u00f6nelik yerle\u015fik yakla\u015f\u0131m\u0131n\u0131n geni\u015fletilmi\u015f halini\u00a0yans\u0131t\u0131yor; g\u00fc\u00e7 aktar\u0131m\u0131 ve \u0131s\u0131 da\u011f\u0131t\u0131m zincirinin tamam\u0131nda optimize edilmi\u015f, birbirine ba\u011f\u0131ml\u0131 tasar\u0131mlara
d\u00f6n\u00fc\u015ft\u00fcr\u00fclm\u00fc\u015f olan, g\u00fc\u00e7, so\u011futma, kontrol ve hizmetleri entegre eden sistem d\u00fczeyinde bir model. Bu\u00a0yakla\u015f\u0131m, be\u015f temel unsur arac\u0131l\u0131\u011f\u0131yla m\u00fcmk\u00fcn k\u0131l\u0131nmaktad\u0131r: tekrar kullan\u0131labilen yap\u0131 bile\u015fenleri, tan\u0131mlanm\u0131\u015f
aray\u00fczler, sistem d\u00fczenlemesi, dijital s\u00fcreklilik ve kullan\u0131m \u00f6mr\u00fc deste\u011fi. Bu unsurlar birlikte, tasar\u0131m\u00a0karma\u015f\u0131kl\u0131\u011f\u0131n\u0131 azalt\u0131p, altyap\u0131 alanlar\u0131 aras\u0131nda koordinasyonu g\u00fc\u00e7lendirmeye ve ilk tasar\u0131mdan da\u011f\u0131t\u0131ma ve\u00a0i\u015fletmeye kadar olan s\u00fcre\u00e7te g\u00fcveni art\u0131rmaya yard\u0131mc\u0131 olarak AI fabrikas\u0131n\u0131n daha \u00f6l\u00e7eklenebilir bir \u015fekilde\u00a0\u00e7al\u0131\u015fmas\u0131n\u0131 destekler.<\/p>\n
Bu yakla\u015f\u0131m\u0131n \u00f6z\u00fcnde, Vertiv\u2122 OneCore entegre mod\u00fcler \u00e7\u00f6z\u00fcmlerinin standardize edilmi\u015f 12,5 MW altyap\u0131\u00a0bile\u015fenleri etraf\u0131nda tasarlanm\u0131\u015f \u00f6l\u00e7eklendirilebilir bir blok yap\u0131 mimarisi yer al\u0131yor. Bu mimari ile, daha k\u00fc\u00e7\u00fck
yapay \u00f6l\u00e7ekte devreye k\u00fcmelerinden gigawatt \u00f6l\u00e7ekli yapay zeka fabrikalar\u0131na kadar uzanan \u00f6l\u00e7ekte devreye\u00a0alma \u00e7al\u0131\u015fmalar\u0131n\u0131 desteklemek \u00fczere birle\u015ftirilebilir, yap\u0131land\u0131r\u0131labilir ve geni\u015fletilebilir. Vertiv, do\u011frulanm\u0131\u015f
aray\u00fczlerle tekrarlanabilir blok d\u00fczeyinde tasar\u0131mlar olu\u015fturarak, \u00f6l\u00e7eklendirmeyi basitle\u015ftirmeyi, da\u011f\u0131t\u0131m\u00a0tutarl\u0131l\u0131\u011f\u0131n\u0131, sistem koordinasyonunu ve operasyonel performans\u0131 iyile\u015ftirmeyi hedeflemektedir.<\/p>\n
Vertiv’in \u00dcr\u00fcn ve Teknoloji Grubu Ba\u015fkan\u0131 Scott Armul, “AI fabrikalar\u0131, dijital altyap\u0131n\u0131n tasarlanma,\u00a0do\u011frulanma ve devreye al\u0131nma bi\u00e7iminde temel bir de\u011fi\u015fime yol a\u00e7\u0131yor” dedi. \u201cVertiv\u2019in rol\u00fc, karma\u015f\u0131k yapay\u00a0zeka altyap\u0131s\u0131n\u0131 ayr\u0131 ayr\u0131 \u00fcr\u00fcnlerden olu\u015fan bir derlemden, birle\u015fmi\u015f, sim\u00fclasyona haz\u0131r fiziksel sistemlere\u00a0d\u00f6n\u00fc\u015ft\u00fcrmeye yard\u0131mc\u0131 olmakt\u0131r. NVIDIA ile birlikte \u00e7al\u0131\u015farak m\u00fc\u015fterilerimizin tasar\u0131mdan devreye almaya\u00a0kadar s\u00fcrecini h\u0131zland\u0131rmalar\u0131na yard\u0131mc\u0131 oluyoruz.\u2019\u2019
G\u00fc\u00e7 ve so\u011futma portf\u00f6y\u00fcm\u00fcz\u00fc do\u011frulanm\u0131\u015f aray\u00fczler ve dijital modellerle birle\u015ftirerek, m\u00fc\u015fterilerimizin\u00a0geli\u015ftirme s\u00fcre\u00e7lerini h\u0131zland\u0131rmalar\u0131na, operasyonel g\u00fcvenlerini art\u0131rmalar\u0131na ve watt ba\u015f\u0131na daha iyi verim
elde etmelerine yard\u0131mc\u0131 olabiliyoruz.”\u00a0Vertiv ile yap\u0131lan i\u015f birli\u011fi sayesinde, fiziksel devreye alma ba\u015flamadan \u00f6nce ger\u00e7ek zamanl\u0131 sim\u00fclasyon ve
sistem d\u00fczeyinde modelleme kullan\u0131larak dijital olarak do\u011frulanm\u0131\u015f yapay zeka fabrikas\u0131 altyap\u0131s\u0131n\u0131n geli\u015ftirilmesi desteklenmektedir.
Bu yakla\u015f\u0131m m\u00fc\u015fterilere a\u015fa\u011f\u0131daki konularda yard\u0131mc\u0131 olmak \u00fczere tasarlanm\u0131\u015ft\u0131r:\u00a0Devreye alma s\u00fcreci karma\u015f\u0131kl\u0131\u011f\u0131n\u0131 ve saha entegrasyon riskini azaltmak,\u00a0Operasyona haz\u0131rl\u0131k s\u00fcresini h\u0131zland\u0131rmak,
G\u00fc\u00e7, so\u011futma ve kontrol sistemleri i\u00e7in altyap\u0131 koordinasyonunu iyile\u015ftirmek,
Ve \u015febeke ba\u011flant\u0131s\u0131ndan \u00e7ip seviyesindeki \u0131s\u0131 y\u00f6netimi ve \u0131s\u0131 geri d\u00f6n\u00fc\u015f\u00fcm yollar\u0131na kadar\u00a0performans\u0131 optimize etmek.<\/p>\n
Vertiv’in katk\u0131s\u0131; sekt\u00f6r\u00fcn en kapsaml\u0131 g\u00f6revlerinden kritik g\u00fc\u00e7, \u0131s\u0131 y\u00f6netimi, entegre kontrol ve ya\u015fam d\u00f6ng\u00fcs\u00fc hizmetlerini birbirine uyumlu b\u00fct\u00fcnle\u015fik bir fiziksel altyap\u0131 halinde bir araya getirme yetene\u011fine dayan\u0131yor.
S\u00fcreci k\u0131saltmay\u0131 esas alan geleneksel mod\u00fcler veya prefabrik yakla\u015f\u0131mlar\u0131n aksine, b\u00fct\u00fcnle\u015fik fiziksel altyap\u0131
hem devreye alma h\u0131z\u0131n\u0131 art\u0131rmay\u0131 hem de sistem d\u00fczeyinde katlanarak artan kazan\u0131mlar sa\u011flamay\u0131\u00a0ama\u00e7lamaktad\u0131r. Vertiv, aray\u00fczleri standartla\u015ft\u0131r\u0131p, tekrarlanabilir yap\u0131 bloklar\u0131 olu\u015fturarak, daha \u00f6l\u00e7eklenebilir
yapay zeka fabrika uygulamalar\u0131n\u0131 desteklemeyi ve ayn\u0131 zamanda performans, verimlilik ve g\u00fcvenilirli\u011fi\u00a0art\u0131rmay\u0131 hedeflemektedir.
NVIDIA Yapay Zeka Altyap\u0131s\u0131 Ba\u015fkan Yard\u0131mc\u0131s\u0131 Vladimir Troy, \u201cYapay zek\u00e2 fabrikalar\u0131 daha \u00f6nce g\u00f6r\u00fclmemi\u015f\u00a0g\u00fc\u00e7 ve yo\u011funluk seviyelerine ula\u015ft\u0131k\u00e7a, i\u015fletmelerin kullan\u0131m riskini azaltmak i\u00e7in g\u00fc\u00e7, so\u011futma ve dijital ikiz
sim\u00fclasyonunu birle\u015ftiren b\u00fct\u00fcnle\u015fik bir fiziksel altyap\u0131 yakla\u015f\u0131m\u0131na ihtiya\u00e7lar\u0131 olacak\u201d dedi. ” Sim\u00fclasyona\u00a0haz\u0131r altyap\u0131 modellerini NVIDIA Vera Rubin DSX tasar\u0131m\u0131na entegre ederek, Vertiv, tasar\u0131mdan operasyona\u00a0giden s\u00fcreci h\u0131zland\u0131rmak i\u00e7in gerekli olan tekrarlanabilir yap\u0131 bloklar\u0131n\u0131 ve do\u011frulanm\u0131\u015f aray\u00fczleri\u00a0sa\u011flamaktad\u0131r.”<\/p>\n
Bu i\u015f birli\u011finin \u00fcr\u00fcn\u00fc olan Vertiv OneCore Rubin DSX, Vertiv’in \u00f6n\u00fcm\u00fczdeki bir\u00e7ok i\u015flem nesli i\u00e7in\u00a0geli\u015ftirmeye devam edece\u011fi, b\u00fct\u00fcnle\u015fik fiziksel altyap\u0131ya dayal\u0131 bir tasar\u0131m\u0131n sonucudur. Parametreler ile ifade
edilen altyap\u0131 modelleri ve g\u00fc\u00e7, so\u011futma, kontrol ve ya\u015fam d\u00f6ng\u00fcs\u00fc hizmetlerini kapsayan, kullan\u0131ma haz\u0131r\u00a0yap\u0131 bloklar\u0131 ile yapay zeka fabrika kurucular\u0131n\u0131n desteklemesi ama\u00e7lamaktad\u0131r.<\/p>\n
Vertiv, bu \u00e7al\u0131\u015fman\u0131n hiper \u00f6l\u00e7ekli, veri merkezi, kurumsal ve geli\u015fmekte olan yapay zeka kullan\u0131m\u00a0ortamlar\u0131nda gelecekteki birle\u015fik altyap\u0131 \u00e7\u00f6z\u00fcmlerine \u0131\u015f\u0131k tutmas\u0131n\u0131 bekliyor.Vertiv’in yapay zeka altyap\u0131 \u00e7\u00f6z\u00fcmleri hakk\u0131nda bilgi edinmek i\u00e7in Vertiv.com adresini ziyaret edebilirsiniz.<\/p>\n
<\/strong> Vertiv, NVIDIA Vera Rubin DSX Yapay Zeka Fabrikalar\u0131n\u0131n Entegre Fiziksel Altyap\u0131s\u0131n\u0131 Sa\u011fl\u0131yor
\nEKONOM\u0130 GAZETES\u0130 <\/p>\n","protected":false},"excerpt":{"rendered":"
\nSim\u00fclasyona haz\u0131r g\u00fc\u00e7 ve so\u011futma altyap\u0131 modelleri, sistemlerin devreye alma s\u00fcrecini h\u0131zland\u0131rmak ve uygulama riskini azaltmak i\u00e7in tasarland\u0131. Kritik dijital altyap\u0131n\u0131n global lideri Vertiv (NYSE: VRT), bug\u00fcn NVIDIA Vera Rubin DSX AI factory reference design fabrika referans tasar\u0131m\u0131 ve NVIDIA Omniverse DSX Blueprint i\u00e7in entegre fiziksel altyap\u0131 tasar\u0131mlar\u0131n\u0131n geli\u015ftirilmesindeki rol\u00fcn\u00fc duyurdu.<\/p>\n","protected":false},"author":1,"featured_media":68627,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAow07ekDA:productID":"","footnotes":""},"categories":[4,7,10,11,13],"tags":[],"class_list":["post-68626","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dunya","category-gundem","category-otomobil","category-saglik","category-teknoloji"],"_links":{"self":[{"href":"https:\/\/ekonomigundemi.com.tr\/index.php\/wp-json\/wp\/v2\/posts\/68626","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ekonomigundemi.com.tr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ekonomigundemi.com.tr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ekonomigundemi.com.tr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ekonomigundemi.com.tr\/index.php\/wp-json\/wp\/v2\/comments?post=68626"}],"version-history":[{"count":0,"href":"https:\/\/ekonomigundemi.com.tr\/index.php\/wp-json\/wp\/v2\/posts\/68626\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ekonomigundemi.com.tr\/index.php\/wp-json\/wp\/v2\/media\/68627"}],"wp:attachment":[{"href":"https:\/\/ekonomigundemi.com.tr\/index.php\/wp-json\/wp\/v2\/media?parent=68626"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ekonomigundemi.com.tr\/index.php\/wp-json\/wp\/v2\/categories?post=68626"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ekonomigundemi.com.tr\/index.php\/wp-json\/wp\/v2\/tags?post=68626"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}