{"id":13464,"date":"2026-09-28T09:23:25","date_gmt":"2026-09-28T06:23:25","guid":{"rendered":"https:\/\/gtmteknoloji.com\/b2b\/?post_type=product&#038;p=13464"},"modified":"2026-09-28T09:47:47","modified_gmt":"2026-09-28T06:47:47","slug":"nvidia-rtx-pro-5500-blackwell-workstation-edition-84gb-gddr7-ecc","status":"publish","type":"product","link":"https:\/\/gtmteknoloji.com\/b2b\/magaza\/ekran-karti\/profesyonel-grafik-kartlari\/nvidia-rtx-pro-5500-blackwell-workstation-edition-84gb-gddr7-ecc\/","title":{"rendered":"NVIDIA RTX PRO 5500 Blackwell Workstation Edition 84GB GDDR7 ECC"},"content":{"rendered":"<style>\n.gtm-rtx5500{\n    --green:#76B900;\n    --text:#202020;\n    --muted:#666;\n    --line:#e5e5e5;\n    --soft:#f7f8f6;\n    font-size:15px;\n    line-height:1.7;\n    color:var(--text);\n}<\/p>\n<p>.gtm-rtx5500 *{\n    box-sizing:border-box;\n}<\/p>\n<p>.gtm-rtx5500 p{\n    margin:0 0 16px;\n}<\/p>\n<p>.gtm-rtx5500 h2{\n    margin:34px 0 16px;\n    font-size:24px;\n    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font-size:15px;\n    }\n}\n<\/style>\n<div class=\"gtm-rtx5500\">\n<div class=\"gtm-intro\">\n<p>\n<strong>NVIDIA RTX PRO 5500 Blackwell Workstation Edition<\/strong>, NVIDIA Blackwell mimarisi ve <strong>84 GB GDDR7 ECC GPU belle\u011fi<\/strong> ile y\u00fcksek performansl\u0131 profesyonel i\u015f y\u00fcklerini hedefler. \u00d6zellikle agentic AI, fiziksel AI, sim\u00fclasyon ve profesyonel grafik uygulamalar\u0131nda g\u00fc\u00e7l\u00fc GPU performans\u0131 sunar.\n<\/p>\n<p>\nNVIDIA, bu GPU\u2019yu rack-mounted workstation sistemleri i\u00e7in geli\u015ftirdi. Ayr\u0131ca kurumlar grafik ve yapay zek\u00e2 kaynaklar\u0131n\u0131 merkezi bir altyap\u0131da konumland\u0131rabilir. Bu sayede ekipler b\u00fcy\u00fck AI modellerini ve karma\u015f\u0131k 3D i\u015f ak\u0131\u015flar\u0131n\u0131 daha verimli y\u00f6netebilir.\n<\/p>\n<\/div>\n<h2>NVIDIA RTX PRO 5500 \u00d6ne \u00c7\u0131kan \u00d6zellikleri<\/h2>\n<div class=\"gtm-feature-grid\">\n<div class=\"gtm-feature-card\">\n<h3>84 GB GDDR7 ECC Bellek<\/h3>\n<p>\n\u00d6zellikle 84 GB GDDR7 ECC bellek, b\u00fcy\u00fck AI modelleri ve karma\u015f\u0131k veri setleri i\u00e7in geni\u015f \u00e7al\u0131\u015fma alan\u0131 sa\u011flar. Ayr\u0131ca y\u00fcksek bellek kapasitesi, sim\u00fclasyon ve ayr\u0131nt\u0131l\u0131 3D sahnelerde avantaj yarat\u0131r. Bunun yan\u0131nda ECC deste\u011fi profesyonel i\u015f y\u00fcklerinde veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc destekler.\n<\/p>\n<\/div>\n<div class=\"gtm-feature-card\">\n<h3>5. Nesil Tensor Cores<\/h3>\n<p>\nBunun yan\u0131nda 5. nesil Tensor Cores, agentic AI ve generative AI uygulamalar\u0131nda hesaplama performans\u0131n\u0131 art\u0131r\u0131r. Ayr\u0131ca FP4 hassasiyet deste\u011fi, yeni nesil AI i\u015f y\u00fcklerinde daha verimli i\u015flem se\u00e7enekleri sunar. B\u00f6ylece kullan\u0131c\u0131lar GPU kaynaklar\u0131ndan daha etkin yararlanabilir.\n<\/p>\n<\/div>\n<div class=\"gtm-feature-card\">\n<h3>4. Nesil RT Cores<\/h3>\n<p>\nAyn\u0131 zamanda 4. nesil RT Cores, profesyonel rendering, mimari g\u00f6rselle\u015ftirme ve medya \u00fcretiminde ray tracing performans\u0131n\u0131 art\u0131r\u0131r. B\u00f6ylece 3D tasar\u0131m ve ger\u00e7ek zamanl\u0131 g\u00f6rselle\u015ftirme s\u00fcre\u00e7leri daha h\u0131zl\u0131 ilerler.\n<\/p>\n<\/div>\n<div class=\"gtm-feature-card\">\n<h3>Multi-Instance GPU<\/h3>\n<p>\nMIG teknolojisi, kullan\u0131c\u0131lar\u0131n tek fiziksel GPU \u00fczerinde iki adede kadar izole instance olu\u015fturmas\u0131na imk\u00e2n verir. B\u00f6ylece ekipler GPU kaynaklar\u0131n\u0131 farkl\u0131 i\u015f y\u00fckleri aras\u0131nda daha kontroll\u00fc payla\u015fabilir. Sonu\u00e7 olarak merkezi workstation altyap\u0131lar\u0131 kaynaklar\u0131n\u0131 daha esnek kullanabilir.\n<\/p>\n<\/div>\n<\/div>\n<h2>Teknik \u00d6zellikler<\/h2>\n<div class=\"gtm-spec-wrap\">\n<div class=\"gtm-spec-row\">\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">GPU Mimarisi<\/div>\n<div class=\"gtm-spec-value\">NVIDIA Blackwell<\/div>\n<\/div>\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">GPU Belle\u011fi<\/div>\n<div class=\"gtm-spec-value\">84 GB GDDR7 ECC<\/div>\n<\/div>\n<\/div>\n<div class=\"gtm-spec-row\">\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">Bellek Bant Geni\u015fli\u011fi<\/div>\n<div class=\"gtm-spec-value\">1398 GB\/s<\/div>\n<\/div>\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">PCIe Arabirimi<\/div>\n<div class=\"gtm-spec-value\">PCIe Gen 5 x16<\/div>\n<\/div>\n<\/div>\n<div class=\"gtm-spec-row\">\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">Tensor Cores<\/div>\n<div class=\"gtm-spec-value\">5. Nesil<\/div>\n<\/div>\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">RT Cores<\/div>\n<div class=\"gtm-spec-value\">4. Nesil<\/div>\n<\/div>\n<\/div>\n<div class=\"gtm-spec-row\">\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">NVENC<\/div>\n<div class=\"gtm-spec-value\">3 \u00d7 9. Nesil<\/div>\n<\/div>\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">NVDEC<\/div>\n<div class=\"gtm-spec-value\">3 \u00d7 6. Nesil<\/div>\n<\/div>\n<\/div>\n<div class=\"gtm-spec-row\">\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">DisplayPort<\/div>\n<div class=\"gtm-spec-value\">4 adede kadar DisplayPort 2.1b<\/div>\n<\/div>\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">Maksimum G\u00fc\u00e7<\/div>\n<div class=\"gtm-spec-value\">600 W&#8217;a kadar<\/div>\n<\/div>\n<\/div>\n<div class=\"gtm-spec-row\">\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">So\u011futma<\/div>\n<div class=\"gtm-spec-value\">Aktif, hava so\u011futmal\u0131<\/div>\n<\/div>\n<div class=\"gtm-spec-item\">\n<div class=\"gtm-spec-name\">MIG Yap\u0131land\u0131rmas\u0131<\/div>\n<div class=\"gtm-spec-value\">1 \u00d7 84 GB veya 2 \u00d7 42 GB&#8217;a kadar<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2>Kullan\u0131m Alanlar\u0131<\/h2>\n<p>\nBlackwell tabanl\u0131 bu profesyonel GPU, farkl\u0131 kurumsal ve yarat\u0131c\u0131 i\u015f y\u00fcklerine hitap eder. \u00d6zellikle 84 GB bellek kapasitesi AI, sim\u00fclasyon ve y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fckl\u00fc grafik projelerinde avantaj sa\u011flar. Bunun yan\u0131nda 1398 GB\/s bellek bant geni\u015fli\u011fi yo\u011fun veri ak\u0131\u015flar\u0131n\u0131 h\u0131zland\u0131r\u0131r. Dolay\u0131s\u0131yla kullan\u0131c\u0131lar farkl\u0131 profesyonel i\u015f ak\u0131\u015flar\u0131n\u0131 tek GPU \u00fczerinde daha verimli y\u00fcr\u00fctebilir.\n<\/p>\n<div class=\"gtm-use-grid\">\n<div class=\"gtm-use-item\">\n<strong>Agentic &amp; Generative AI<\/strong><br \/>\n<span>LLM inference, AI agentlar\u0131, generative AI ve computer vision<\/span>\n<\/div>\n<div class=\"gtm-use-item\">\n<strong>Physical AI<\/strong><br \/>\n<span>Robotik, sentetik veri \u00fcretimi ve sim\u00fclasyon<\/span>\n<\/div>\n<div class=\"gtm-use-item\">\n<strong>3D &amp; Rendering<\/strong><br \/>\n<span>3D modelleme, animasyon ve virtual production<\/span>\n<\/div>\n<div class=\"gtm-use-item\">\n<strong>Bilimsel Hesaplama<\/strong><br \/>\n<span>Sim\u00fclasyon, HPC ve veri analiti\u011fi<\/span>\n<\/div>\n<div class=\"gtm-use-item\">\n<strong>Video &amp; Streaming<\/strong><br \/>\n<span>Y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fckl\u00fc video i\u015fleme ve canl\u0131 medya<\/span>\n<\/div>\n<div class=\"gtm-use-item\">\n<strong>Rack Workstation<\/strong><br \/>\n<span>Merkezi ve \u00f6l\u00e7eklenebilir profesyonel workstation altyap\u0131lar\u0131<\/span>\n<\/div>\n<\/div>\n<h2>S\u0131k Sorulan Sorular<\/h2>\n<div class=\"gtm-faq\">\n<details>\n<summary>RTX PRO 5500 ka\u00e7 GB belle\u011fe sahip?<\/summary>\n<div class=\"gtm-faq-content\">\n<p>\n\u00d6zellikle 84 GB GDDR7 ECC GPU belle\u011fi, RTX PRO 5500 Blackwell Workstation Edition modeline b\u00fcy\u00fck veri setleri ve AI i\u015f y\u00fckleri i\u00e7in geni\u015f kapasite sa\u011flar. Ayr\u0131ca kullan\u0131c\u0131lar y\u00fcksek bellek gerektiren profesyonel uygulamalarda daha fazla \u00e7al\u0131\u015fma alan\u0131ndan yararlanabilir.\n<\/p>\n<\/div>\n<\/details>\n<details>\n<summary>Hangi GPU mimarisini kullan\u0131yor?<\/summary>\n<div class=\"gtm-faq-content\">\n<p>\nAyr\u0131ca NVIDIA Blackwell mimarisi, bu profesyonel GPU\u2019ya yeni nesil AI ve grafik i\u015fleme yetenekleri kazand\u0131r\u0131r. Bunun yan\u0131nda 5. nesil Tensor Core ve 4. nesil RT Core teknolojileri hesaplama ve grafik i\u015f y\u00fcklerini h\u0131zland\u0131r\u0131r.\n<\/p>\n<\/div>\n<\/details>\n<details>\n<summary>Hangi i\u015f y\u00fcklerini hedefliyor?<\/summary>\n<div class=\"gtm-faq-content\">\n<p>\nRTX PRO 5500; agentic AI, generative AI, LLM inference, physical AI, sim\u00fclasyon, rendering, bilimsel hesaplama, veri analiti\u011fi ve video \u00fcretimi gibi alanlar\u0131 hedefler. Dolay\u0131s\u0131yla \u00fcr\u00fcn hem AI hem de profesyonel grafik odakl\u0131 sistemlere hitap eder.\n<\/p>\n<\/div>\n<\/details>\n<details>\n<summary>MIG deste\u011fine sahip mi?<\/summary>\n<div class=\"gtm-faq-content\">\n<p>\nEvet. GPU, bir adet 84 GB veya iki adet 42 GB&#8217;a kadar MIG instance deste\u011fi sunar. B\u00f6ylece kullan\u0131c\u0131lar farkl\u0131 i\u015f y\u00fcklerine ayr\u0131 GPU kaynaklar\u0131 ay\u0131rabilir. Sonu\u00e7 olarak ayn\u0131 fiziksel GPU \u00fczerinde daha esnek kaynak y\u00f6netimi sa\u011flan\u0131r.\n<\/p>\n<\/div>\n<\/details>\n<details>\n<summary>Hangi PCIe standard\u0131n\u0131 kullan\u0131yor?<\/summary>\n<div class=\"gtm-faq-content\">\n<p>\nAyr\u0131ca RTX PRO 5500, PCIe Gen 5 x16 arabirimi \u00fczerinden y\u00fcksek bant geni\u015fli\u011fi sunar. Bu nedenle yeni nesil workstation platformlar\u0131 GPU ile daha h\u0131zl\u0131 veri al\u0131\u015fveri\u015fi ger\u00e7ekle\u015ftirebilir.\n<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p><strong>84 GB GDDR7 ECC belle\u011fe sahip NVIDIA RTX PRO 5500 Blackwell Workstation Edition<\/strong>, PCIe Gen 5 x16, 5. nesil Tensor Core ve 4. nesil RT Core teknolojileriyle profesyonel yapay zek\u00e2, render, sim\u00fclasyon ve veri analizi i\u015f y\u00fckleri i\u00e7in geli\u015ftirilmi\u015ftir.<\/p>\n<p>Ayr\u0131ca y\u00fcksek bellek kapasitesi ve NVIDIA Blackwell mimarisi sayesinde b\u00fcy\u00fck AI modelleri, karma\u015f\u0131k 3D sahneler ve rack-mounted workstation sistemlerinde y\u00fcksek performans ve \u00f6l\u00e7eklenebilirlik sunar.<\/p>\n","protected":false},"featured_media":13551,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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