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	<title>Nvidia DGX B200 Archives - GTM Teknoloji</title>
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		<title>Supermicro HGX B200 8-GPU Server &#124; SYS-A22GA-NBRT</title>
		<link>https://gtmteknoloji.com/b2b/magaza/gpu-server/nvidia-dgx-hgx-server/supermicro-hgx-b200-8-gpu-server-sys-a22ga-nbrt/</link>
		
		<dc:creator><![CDATA[Serkan]]></dc:creator>
		<pubDate>Mon, 17 Nov 2025 13:50:50 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=10800</guid>

					<description><![CDATA[<p data-path-to-node="0">Bu SuperServer <b>SYS-A22GA-NBRT</b>, yapay zeka (AI) eğitimi, büyük dil modelleri (LLM) ve yüksek performanslı bilgi işlem (HPC) gibi yoğun iş yükleri için tasarlanmış <b>10U</b> rack tipi bir <b>GPU sistemidir</b>.</p>
<p data-path-to-node="1">Çift <b>Intel Xeon 6900 serisi</b> işlemcilerle güçlendirilen bu sistem, üstün hesaplama performansı sunmak üzere aynı anda <b>8 adede kadar NVIDIA HGX B200 GPU'yu</b> destekler.</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/gpu-server/nvidia-dgx-hgx-server/supermicro-hgx-b200-8-gpu-server-sys-a22ga-nbrt/">Supermicro HGX B200 8-GPU Server | SYS-A22GA-NBRT</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></description>
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				<h4 class="woodmart-title-container title wd-fontsize-xxxl">Supermicro SYS-A22GA-NBRT SERVER <br>NVIDIA HGX B200 8-GPU</h4> 
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					<h2 class="elementor-heading-title elementor-size-default"><div style="padding-left: 15px;padding-right: 15px;clear: none;float: left;width: 770px;font-family: NVIDIA, Arial, Helvetica, sans-serif;font-size: medium;font-style: normal;font-weight: 400"><div><div><div style="font-size: 15px"><p style="font-size: 15px;line-height: 1.666em;padding-bottom: 10px;padding-top: 10px"><span><span style="font-size: 22px;line-height: 1.75em"><font dir="auto" style="vertical-align: inherit">NVIDIA HGX B200 8-GPU'lu DP Intel 10U Sistemi</font></span></span></p></div></div></div></div><div style="clear: none;float: left;width: 770px;font-family: NVIDIA, Arial, Helvetica, sans-serif;font-size: medium;font-style: normal;font-weight: 400"></div></h2>				</div>
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				<h4 class="woodmart-title-container title wd-fontsize-m">Supermicro SYS-A22GA-NBRT: <br><br />
10U Formda Yapay Zeka Süper Bilgisayarı</h4> 
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					<h3>Supermicro SYS-A22GA-NBRT ile Büyük Ölçekli Hesaplamada Yeni Dönem</h3><p>Supermicro'nun amiral gemisi SYS-A22GA-NBRT 10U GPU Sunucusu, <b>her şeyden önce</b> petascale ölçekli yapay zeka (AI) ve yüksek performanslı hesaplama (HPC) altyapılarını güçlendirmek üzere tasarlanmıştır. <b>Bununla birlikte</b>, bu sistem NVIDIA HGX B200 8-GPU platformunun muazzam gücünü, yeni nesil Intel Xeon 6900 Serisi işlemcilerle birleştirerek veri merkezlerinde hız ve yoğunluk rekorları kırmaktadır.</p><p><b>Özellikle</b>, Büyük Dil Modeli (LLM) Eğitimi, Üretken Yapay Zeka ve bilimsel araştırmalar için gerekli olan benzersiz işlem gücü, bellek hızı ve I/O kapasitesini tek bir 10U GPU Sunucu kasasında sunar. <b>Kısacası</b>, bu, iş yüklerinizi geleceğe taşımak için en stratejik <b>Yapay Zeka Süper Bilgisayar</b> çözümüdür.</p><p><b>Sonuç olarak</b>, bu sistem <b>hem bugün hem de yarının</b> en zorlu <b>HPC Donanımı</b> ihtiyaçlarını karşılamak üzere tasarlanmış, optimize edilmiş bir <b>Yapay Zeka Sunucusu</b> platformudur.</p>				</div>
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					<h2 class="elementor-heading-title elementor-size-default">Temel Uygulama Alanları</h2>				</div>
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					<ul><li><span style="font-size: 16px">Bilimsel Araştırma</span></li><li><span style="font-size: 16px">Konuşma AI</span></li><li><span style="font-size: 16px">İş Zekası ve Analitik</span></li><li><span style="font-size: 16px">İlaç Keşfi</span></li><li><span style="font-size: 16px">Finans Hizmetleri ve Dolandırıcılık Tespiti</span></li><li><span style="font-size: 16px">Yapay Zeka/Derin Öğrenme Eğitimi ve Çıkarımı</span></li><li><span style="font-size: 16px">Büyük Dil Modeli (LLM) ve Üretken Yapay Zeka</span></li><li><span style="font-size: 16px">Yüksek Performanslı Bilgi İşlem (HPC)</span></li><li><span style="font-size: 16px">Otonom Araç Teknolojileri</span></li></ul>				</div>
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					GLOBAL STOKLARDAN HIZLI TESLİMAT				</div>
			
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			<h2>Supermicro SYS-A22GA-NBRT Teknik Özellikleri Tablosu</h2><table dir="ltr" border="1" cellspacing="0" cellpadding="0" data-sheets-root="1" data-sheets-baot="1"><colgroup><col width="146" /><col width="467" /></colgroup><tbody><tr><td>Özellik</td><td>Detay / Kapasite</td></tr><tr><td>Kasa Tipi</td><td>10U Rackmount (Yüksek Yoğunluk)</td></tr><tr><td>Liquid Cooling Versiyon</td><td>4U Rackmount / 4x 6600W (SYS-422GA-NBRT-LCC)</td></tr><tr><td>Maksimum GPU Sayısı</td><td>8 Adet NVIDIA SXM B200 GPU (HGX Platform)</td></tr><tr><td>Toplam GPU Belleği</td><td>1.4TB paylaşımlı GPU bellek alanı</td></tr><tr><td>CPU Yuvası / Serisi</td><td>Çift (Dual) Intel® Xeon® 6900 Serisi (Socket BR / P-cores)</td></tr><tr><td>Çekirdek Sayısı</td><td>128 Çekirdeğe kadar</td></tr><tr><td>DIMM Yuvası Sayısı</td><td>24 DIMM Yuvası (DDR5)</td></tr><tr><td>Maksimum RAM Hızı</td><td>8800MT/s'ye kadar DDR5 MRDIMM (Dünya standardında en yüksek hız)</td></tr><tr><td>Ön Depolama</td><td>10 adet Çalışırken Değiştirilebilir (Hot-swap) 2.5" NVMe U.2 Yuvası (PCIe 5.0)</td></tr><tr><td>PCIe Yuvaları</td><td>10 x PCIe 5.0 x16 LP + 2 x PCIe 5.0 x16 FHHL</td></tr><tr><td>Dahili NIC</td><td>2 x 10GbE RJ-45 (Intel X710) + 1 GbE BMC LAN</td></tr><tr><td>Güç / Verimlilik</td><td>6 x 5250W Yedekli (3+3) Titanium Seviye (96%+)</td></tr></tbody></table><p> </p>
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			<h4>1. DDR5 8800MT/s ile Veri İşleme Hızı</h4><p data-path-to-node="4"><b>Öncelikle</b>, bu sistemin en çarpıcı özelliklerinden biri, (MRDIMM konfigürasyonuyla) 8800MT/s'ye ulaşan bellek hızıdır. <b>Çünkü</b> büyük veri setlerinin CPU ve GPU arasında akışını sağlayan bu ultra hız, Derin Öğrenme Büyük Ölçekli Eğitim süreçlerinde <b>otomatik olarak</b> darboğazları ortadan kaldırır. <b>Bunun sonucunda</b> model eğitimi süresini dramatik ölçüde kısaltır.</p><h4>2. Yüksek Yoğunluklu PCIe 5.0 U.2 Depolama</h4><p data-path-to-node="6"><b>Ayrıca</b>, 10 adede kadar PCIe 5.0 U.2 NVMe yuvası mevcuttur. <b>Zira</b> bu yuvalar, GPU'ların veri açlığını gidermek için ultra hızlı depolama I/O'su sunar. <b>Bu da demektir ki</b>, model ağırlıklarını yüklerken ve büyük veri setlerini işlerken performans sürekli yüksek tutulur.</p><h4>3. Ölçeklenebilir Yapı (10U)</h4><p data-path-to-node="8"><b>Son olarak</b>, sistemin 10U'luk fiziksel alanı, en iyi hava akışı yönetimi ve en yoğun bileşen yerleşimi için stratejik olarak kullanılmıştır. <b>Üstelik</b>, 12 adet PCIe 5.0 x16 yuvası ile <b>aynı zamanda</b> küme içi bağlantı (InfiniBand/400GbE) veya ek depolama/I/O kartları için benzersiz bir genişleme potansiyeli sağlar.</p><p data-path-to-node="8"><span style="color: #ff0000;"><a style="color: #ff0000;" href="https://gtmteknoloji.com/inceleme-supermicro-nvidia-hgx-b200-8-gpu-sivi-sogutma-yapay-zeka-sunucu/">Ek olarak, 4U'da sıvı soğutmalı  model SYS-422GA-NBRT-LCC detaylı incelemesine buradan ulaşabilirsiniz..</a></span></p>
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					<h2 class="elementor-heading-title elementor-size-default">Yetkili İş Ortağı Güvencesi: GTM Teknoloji Farkı</h2>				</div>
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			<p data-path-to-node="3">Bu kadar yüksek performanslı ve kritik bir sistemi tedarik ederken, doğru iş ortağını seçmek <b>hiç şüphesiz</b> hayati önem taşır. <b>İşte bu nedenle</b>, <a href="https://www.supermicro.com/en/products/system/gpu/10u/sys-a22ga-nbrt" target="_blank" rel="noopener">Supermicro SYS-A22GA-NBRT</a> alımınızı, en üst düzey güven ve uzmanlıkla gerçekleştirin:</p><ul data-path-to-node="4"><li><p data-path-to-node="4,0,0"><b>Supermicro Yetkili Distribütörü:</b> <b>Öncelikle</b>, <a href="https://gtmteknoloji.com">GTM Teknoloji</a> güvencesiyle, ürününüzün doğrudan üreticiden orijinal ve garantili olarak temin edildiğinden emin olursunuz. <b>Üstelik</b>, bu avantajlara ek olarak proje destek, danışmanlık ve yerinde destek hizmetleri de sağlanır.</p></li><li><p data-path-to-node="4,1,0"><b>NVIDIA NPN Elite Partneri:</b> <b>Dahası</b>, <a href="https://marketplace.nvidia.com/en-us/enterprise/partners/?page=1&amp;limit=15&amp;name=gtm-teknoloji" target="_blank" rel="noopener">GTM Teknoloji'nin NVIDIA NPN Elite Partner statüsü,</a> bu sistemin kalbindeki NVIDIA HGX B200 teknolojisi konusunda en derin teknik bilgiye ve uygulama uzmanlığına sahip olduğu anlamına gelir. <b>Böylece</b>, özellikle karmaşık Yapay Zeka ve HPC Çözümü entegrasyonlarında size büyük bir rekabet avantajı sağlar.</p></li><li><p data-path-to-node="4,2,0"><b>Sonuç:</b> <b>Kısacası</b>, GTM Teknoloji ile sadece bir sunucu değil, <b>aynı zamanda</b> kurulum, optimizasyon ve satış sonrası destek konularında en yetkin teknik ekibe erişim sağlarsınız.</p></li></ul>
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			<p data-path-to-node="3"><b>Her şeyden önce</b>, SYS-A22GA-NBRT Nvidia HGX B200 GPU Sunucusu sadece bir donanım değil, <b>tam tersine</b> rekabet avantajınızın garantisidir. <b>Nitekim</b>, veri bilimi ekibinizin aradığı sınırsız hesaplama gücünü sunarak, onları <b>dolaysız</b> yoldan daha hızlı sonuçlara ve daha büyük keşiflere ulaştırır.</p><p data-path-to-node="4"><b>Bu kritik potansiyeli gerçeğe dönüştürmek için, bugün aksiyon alın:</b></p><ul data-path-to-node="5"><li><p data-path-to-node="5,0,0"><b>Teklif Alın:</b> Bu 8U GPU Sunucu hakkında, Supermicro Yetkili Distribütörü GTM Teknoloji'den özel fiyat bilgisi almak için <b>hemen şimdi</b> bizimle iletişime geçin.</p></li><li><p data-path-to-node="5,1,0"><b>Uzman Desteği:</b> <b>Ayrıca</b>, projenize özel HPC Çözümü entegrasyonu ve kurulumu için NVIDIA NPN Elite Partneri uzmanlarımıza danışın.</p></li></ul><p data-path-to-node="6"><b>Sonuç olarak</b>, Supermicro'nun en yeni Yapay Zeka Sunucusu ile <b>derhal</b> rekabette bir adım öne geçin!</p>
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		<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/gpu-server/nvidia-dgx-hgx-server/supermicro-hgx-b200-8-gpu-server-sys-a22ga-nbrt/">Supermicro HGX B200 8-GPU Server | SYS-A22GA-NBRT</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
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		<title>Supermicro HGX B200 8-GPU Server &#124; SYS-822GS-NBRT 8U</title>
		<link>https://gtmteknoloji.com/b2b/magaza/gpu-server/supermicro-hgx-b200-8-gpu-server-sys-822gs-nbrt-8u/</link>
		
		<dc:creator><![CDATA[Serkan]]></dc:creator>
		<pubDate>Mon, 17 Nov 2025 12:06:37 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=10760</guid>

					<description><![CDATA[<p>Supermicro'nun <b>NVIDIA HGX B200 8-GPU</b> mimarisine sahip bu 8U sunucusu, <b>Yapay Zeka</b> (AI), <b>Büyük Dil Modeli</b> (LLM) geliştirme ve <b>Derin Öğrenme Eğitimi</b> için tasarlanmış en üst düzey HPC çözümüdür. Yüksek yoğunluklu PCIe 5.0 ve <b>Titanium Seviye</b> güç verimliliği ile veri merkezinizin performansını ve ölçeklenebilirliğini zirveye taşıyın.</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/gpu-server/supermicro-hgx-b200-8-gpu-server-sys-822gs-nbrt-8u/">Supermicro HGX B200 8-GPU Server | SYS-822GS-NBRT 8U</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
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.gtm-smc822nbrt .smc-chip strong { color: #fff; font-weight: 600; }
.gtm-smc822nbrt .smc-chip.nv { background: rgba(118,185,0,0.18); border-color: rgba(118,185,0,0.5); color: var(--smc-nv-light); }
.gtm-smc822nbrt .smc-chip.nv strong { color: #C5EE6F; }
.gtm-smc822nbrt .smc-cta { display: flex; gap: 12px; flex-wrap: wrap; }
.gtm-smc822nbrt .smc-btn-p { background: var(--smc-nv); color: #fff; padding: 12px 26px; font-size: 15px; font-weight: 700; border-radius: 4px; text-decoration: none; display: inline-flex; align-items: center; gap: 8px; box-shadow: 0 2px 10px rgba(118,185,0,0.3); transition: background 0.15s, transform 0.15s; }
.gtm-smc822nbrt .smc-btn-p:hover { background: var(--smc-nv-dark); transform: translateY(-1px); }
.gtm-smc822nbrt .smc-btn-o { background: transparent; color: #fff; border: 1px solid rgba(255,255,255,0.35); padding: 12px 26px; font-size: 15px; font-weight: 500; border-radius: 4px; text-decoration: none; display: inline-flex; align-items: center; gap: 8px; }
.gtm-smc822nbrt .smc-btn-o:hover { border-color: var(--smc-nv-light); background: rgba(118,185,0,0.1); }

/* ===== STAT BAR — green accent ===== */
.gtm-smc822nbrt .smc-stats { background: #001E3C; padding: 16px 40px; border-top: 2px solid var(--smc-nv); border-radius: 0 0 8px 8px; margin-bottom: 36px; }
.gtm-smc822nbrt .smc-stats-in { display: flex; flex-wrap: wrap; }
.gtm-smc822nbrt .smc-stat { flex: 1; min-width: 110px; text-align: center; padding: 0 14px; border-right: 1px solid rgba(255,255,255,0.1); }
.gtm-smc822nbrt .smc-stat:last-child { border-right: none; }
.gtm-smc822nbrt .smc-sn { font-size: 24px; font-weight: 700; color: #fff; line-height: 1; }
.gtm-smc822nbrt .smc-sn span { color: var(--smc-nv-light); font-size: 14px; font-weight: 400; }
.gtm-smc822nbrt .smc-sl { font-size: 10px; color: rgba(255,255,255,0.55); text-transform: uppercase; letter-spacing: 0.5px; margin-top: 4px; }

/* ===== SECTIONS ===== */
.gtm-smc822nbrt .smc-callout { background: linear-gradient(135deg, #EEF3FA 0%, var(--smc-nv-pale) 100%); border: 1px solid #CDE79A; border-left: 4px solid var(--smc-nv); border-radius: 0 8px 8px 0; padding: 18px 22px; margin-bottom: 20px; display: flex; gap: 14px; align-items: flex-start; }
.gtm-smc822nbrt .smc-callout-icon { font-size: 28px; line-height: 1; }
.gtm-smc822nbrt .smc-callout h4 { font-size: 15px; font-weight: 700; color: var(--smc-navy); margin: 0 0 5px; }
.gtm-smc822nbrt .smc-callout p { font-size: 14px; color: var(--smc-text); line-height: 1.7; margin: 0; }
.gtm-smc822nbrt .smc-callout .nv-hi { color: var(--smc-nv-dark); font-weight: 700; }
.gtm-smc822nbrt .smc-sec { margin-bottom: 44px; }
.gtm-smc822nbrt .smc-sec-title { font-size: 21px; font-weight: 700; color: var(--smc-navy); margin: 0 0 18px; padding-bottom: 10px; border-bottom: 2px solid var(--smc-border); display: flex; align-items: center; gap: 10px; }
.gtm-smc822nbrt .smc-sec-title::before { content: ''; width: 4px; height: 22px; background: var(--smc-nv); border-radius: 2px; display: inline-block; }
.gtm-smc822nbrt .smc-intro { background: var(--smc-bg); border-left: 4px solid var(--smc-navy); padding: 18px 22px; border-radius: 0 6px 6px 0; margin-bottom: 20px; font-size: 15px; line-height: 1.75; }
.gtm-smc822nbrt .smc-intro strong { color: var(--smc-navy); }
.gtm-smc822nbrt .smc-intro .nv-hi { color: var(--smc-nv-dark); font-weight: 700; }
.gtm-smc822nbrt .smc-snip { background: var(--smc-nv-pale); border: 1px solid #CDE79A; border-left: 4px solid var(--smc-nv); border-radius: 0 6px 6px 0; padding: 13px 17px; font-size: 13px; color: #2C4A00; margin-bottom: 18px; }
.gtm-smc822nbrt .smc-snip strong { color: var(--smc-nv-dark); }
.gtm-smc822nbrt .smc-snip-lbl { font-size: 10px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.8px; color: var(--smc-muted); margin-bottom: 4px; }

/* ===== COMPARE TABLE — B200 vs B300 ===== */
.gtm-smc822nbrt .smc-cmp { overflow-x: auto; }
.gtm-smc822nbrt .smc-cmp-tbl { width: 100%; border-collapse: collapse; font-size: 14px; }
.gtm-smc822nbrt .smc-cmp-tbl th { background: var(--smc-bg); padding: 11px 14px; text-align: left; font-weight: 700; font-size: 13px; color: var(--smc-navy); border-bottom: 2px solid var(--smc-navy); }
.gtm-smc822nbrt .smc-cmp-tbl th.me { background: var(--smc-nv-pale); color: var(--smc-nv-dark); border-bottom-color: var(--smc-nv); }
.gtm-smc822nbrt .smc-cmp-tbl th.alt { background: #EEF3FA; }
.gtm-smc822nbrt .smc-cmp-tbl td { padding: 10px 14px; border-bottom: 1px solid var(--smc-border); font-size: 13px; }
.gtm-smc822nbrt .smc-cmp-tbl td:first-child { font-weight: 600; color: var(--smc-navy); }
.gtm-smc822nbrt .smc-cmp-tbl td.me { background: rgba(118,185,0,0.08); }
.gtm-smc822nbrt .smc-cmp-tbl tr:last-child td { border-bottom: none; }

/* ===== FEATURE CARDS ===== */
.gtm-smc822nbrt .smc-feat-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(240px, 1fr)); gap: 14px; }
.gtm-smc822nbrt .smc-feat-card { background: var(--smc-white); border: 1px solid var(--smc-border); border-radius: 8px; padding: 18px; transition: box-shadow 0.2s, border-color 0.2s, transform 0.15s; }
.gtm-smc822nbrt .smc-feat-card:hover { border-color: var(--smc-nv); box-shadow: 0 4px 14px rgba(118,185,0,0.15); transform: translateY(-2px); }
.gtm-smc822nbrt .smc-feat-card.nv { border-left: 3px solid var(--smc-nv); background: linear-gradient(135deg, #FFFFFF 0%, rgba(235,247,210,0.35) 100%); }
.gtm-smc822nbrt .smc-feat-icon { width: 38px; height: 38px; border-radius: 8px; background: #EEF3FA; display: flex; align-items: center; justify-content: center; font-size: 17px; margin-bottom: 10px; }
.gtm-smc822nbrt .smc-feat-card.nv .smc-feat-icon { background: var(--smc-nv-pale); }
.gtm-smc822nbrt .smc-feat-card h3 { font-size: 14px; font-weight: 700; color: var(--smc-navy); margin: 0 0 5px; }
.gtm-smc822nbrt .smc-feat-card.nv h3 { color: var(--smc-nv-dark); }
.gtm-smc822nbrt .smc-feat-card p { font-size: 13px; color: var(--smc-muted); line-height: 1.6; margin: 0; }

/* ===== ARCH ===== */
.gtm-smc822nbrt .smc-arch { background: var(--smc-bg); border: 1px solid var(--smc-border); border-radius: 8px; padding: 24px; }
.gtm-smc822nbrt .smc-arch-title { font-size: 14px; font-weight: 700; color: var(--smc-navy); margin-bottom: 16px; text-align: center; }
.gtm-smc822nbrt .smc-arch-grid { display: grid; grid-template-columns: 1fr 40px 1fr 40px 1fr; align-items: center; gap: 8px; }
.gtm-smc822nbrt .smc-arch-box { background: var(--smc-white); border: 1px solid var(--smc-border); border-radius: 8px; padding: 14px 10px; text-align: center; }
.gtm-smc822nbrt .smc-arch-box.highlight { border-color: var(--smc-nv); border-width: 2px; background: var(--smc-nv-pale); box-shadow: 0 0 16px rgba(118,185,0,0.15); }
.gtm-smc822nbrt .smc-arch-box .icon { font-size: 22px; margin-bottom: 6px; }
.gtm-smc822nbrt .smc-arch-box .lbl { font-size: 12px; font-weight: 700; color: var(--smc-navy); }
.gtm-smc822nbrt .smc-arch-box.highlight .lbl { color: var(--smc-nv-dark); }
.gtm-smc822nbrt .smc-arch-box .sub { font-size: 11px; color: var(--smc-muted); margin-top: 2px; line-height: 1.4; }
.gtm-smc822nbrt .smc-arch-arrow { text-align: center; font-size: 20px; color: var(--smc-nv); font-weight: 700; }

/* ===== SPEC TABLE ===== */
.gtm-smc822nbrt .smc-tbl-wrap { overflow-x: auto; }
.gtm-smc822nbrt .smc-tbl { width: 100%; border-collapse: collapse; font-size: 14px; }
.gtm-smc822nbrt .smc-tbl th { background: var(--smc-navy); color: #fff; padding: 11px 14px; text-align: left; font-weight: 600; font-size: 13px; }
.gtm-smc822nbrt .smc-tbl th:first-child { border-radius: 6px 0 0 0; }
.gtm-smc822nbrt .smc-tbl th:last-child { border-radius: 0 6px 0 0; }
.gtm-smc822nbrt .smc-tbl td { padding: 10px 14px; border-bottom: 1px solid var(--smc-border); vertical-align: top; }
.gtm-smc822nbrt .smc-tbl tr:nth-child(even) td { background: var(--smc-bg); }
.gtm-smc822nbrt .smc-tbl tr:last-child td { border-bottom: none; }
.gtm-smc822nbrt .smc-tbl td:first-child { font-weight: 600; color: var(--smc-navy); white-space: nowrap; }
.gtm-smc822nbrt .smc-tbl .group-row td { background: var(--smc-nv-pale); color: var(--smc-nv-dark); font-weight: 700; font-size: 12px; text-transform: uppercase; letter-spacing: 0.4px; padding: 7px 14px; }
.gtm-smc822nbrt .smc-badge-green { display: inline-block; background: #E6F6EC; color: #007A2F; border: 1px solid #A8DDB8; padding: 2px 8px; border-radius: 3px; font-size: 12px; font-weight: 600; }
.gtm-smc822nbrt .smc-badge-nv { display: inline-block; background: var(--smc-nv-pale); color: var(--smc-nv-dark); border: 1px solid #CDE79A; padding: 2px 8px; border-radius: 3px; font-size: 12px; font-weight: 600; }

/* ===== PROTO GRID ===== */
.gtm-smc822nbrt .smc-proto-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 14px; }
.gtm-smc822nbrt .smc-proto-card { border: 1px solid var(--smc-border); border-radius: 8px; overflow: hidden; }
.gtm-smc822nbrt .smc-proto-head { padding: 11px 14px; font-size: 14px; font-weight: 700; display: flex; align-items: center; gap: 8px; }
.gtm-smc822nbrt .smc-proto-head.gpu { background: var(--smc-nv-pale); color: var(--smc-nv-dark); border-bottom: 2px solid var(--smc-nv); }
.gtm-smc822nbrt .smc-proto-head.stg { background: #EEF3FA; color: var(--smc-navy); border-bottom: 2px solid var(--smc-navy); }
.gtm-smc822nbrt .smc-proto-list { list-style: none; padding: 10px 14px; display: flex; flex-wrap: wrap; gap: 6px; margin: 0; }
.gtm-smc822nbrt .smc-proto-list li { background: var(--smc-bg); border: 1px solid var(--smc-border); border-radius: 4px; padding: 3px 10px; font-size: 13px; color: var(--smc-text); font-weight: 500; }

/* ===== USE CASES ===== */
.gtm-smc822nbrt .smc-use-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 14px; }
.gtm-smc822nbrt .smc-use-card { background: var(--smc-white); border: 1px solid var(--smc-border); border-radius: 8px; padding: 20px; border-top: 3px solid var(--smc-nv); transition: box-shadow 0.2s; }
.gtm-smc822nbrt .smc-use-card:hover { box-shadow: 0 4px 18px rgba(118,185,0,0.12); }
.gtm-smc822nbrt .smc-use-tag { display: inline-block; margin-bottom: 8px; background: var(--smc-nv-pale); color: var(--smc-nv-dark); padding: 3px 10px; border-radius: 3px; font-size: 11px; font-weight: 700; letter-spacing: 0.5px; text-transform: uppercase; }
.gtm-smc822nbrt .smc-use-card h3 { font-size: 15px; font-weight: 700; color: var(--smc-navy); margin: 0 0 7px; }
.gtm-smc822nbrt .smc-use-card p { font-size: 13px; color: var(--smc-muted); line-height: 1.7; margin: 0; }

/* ===== COMPAT ===== */
.gtm-smc822nbrt .smc-compat { display: flex; flex-wrap: wrap; gap: 10px; }
.gtm-smc822nbrt .smc-compat-item { background: var(--smc-white); border: 1px solid var(--smc-border); border-radius: 6px; padding: 7px 14px; font-size: 13px; color: var(--smc-text); display: flex; align-items: center; gap: 6px; }
.gtm-smc822nbrt .smc-compat-item::before { content: '✓'; color: var(--smc-nv); font-weight: 700; }

/* ===== WHY ===== */
.gtm-smc822nbrt .smc-why { background: linear-gradient(135deg, #F5F7FA 0%, var(--smc-nv-pale) 100%); border: 1px solid #CDE79A; border-radius: 10px; padding: 32px; display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 22px; }
.gtm-smc822nbrt .smc-why-intro { grid-column: 1 / -1; }
.gtm-smc822nbrt .smc-why-intro h2 { font-size: 21px; font-weight: 700; color: var(--smc-navy); margin: 0 0 8px; }
.gtm-smc822nbrt .smc-why-intro p { font-size: 14px; color: var(--smc-text); line-height: 1.7; margin: 0; }
.gtm-smc822nbrt .smc-why-item { display: flex; gap: 13px; }
.gtm-smc822nbrt .smc-why-icon { width: 42px; height: 42px; min-width: 42px; border-radius: 8px; background: #fff; border: 1px solid var(--smc-nv); display: flex; align-items: center; justify-content: center; font-size: 19px; }
.gtm-smc822nbrt .smc-why-item h4 { font-size: 14px; font-weight: 700; color: var(--smc-navy); margin: 0 0 4px; }
.gtm-smc822nbrt .smc-why-item p { font-size: 13px; color: var(--smc-muted); line-height: 1.6; margin: 0; }

/* ===== FAQ ===== */
.gtm-smc822nbrt .smc-faq-item { border: 1px solid var(--smc-border); border-radius: 8px; margin-bottom: 10px; overflow: hidden; }
.gtm-smc822nbrt .smc-faq-q { padding: 15px 18px; font-size: 14px; font-weight: 600; color: var(--smc-navy); background: var(--smc-white); cursor: pointer; display: flex; justify-content: space-between; align-items: center; user-select: none; transition: background 0.15s; }
.gtm-smc822nbrt .smc-faq-q:hover { background: var(--smc-nv-pale); }
.gtm-smc822nbrt .smc-faq-q .smc-arr { font-size: 18px; transition: transform 0.2s; color: var(--smc-nv); font-weight: 700; }
.gtm-smc822nbrt .smc-faq-a { display: none; padding: 0 18px 14px; font-size: 14px; color: var(--smc-text); line-height: 1.75; border-top: 1px solid var(--smc-border); background: var(--smc-bg); }
.gtm-smc822nbrt .smc-faq-item.smc-open .smc-faq-a { display: block; }
.gtm-smc822nbrt .smc-faq-item.smc-open .smc-faq-q { background: var(--smc-nv-pale); color: var(--smc-nv-dark); }
.gtm-smc822nbrt .smc-faq-item.smc-open .smc-arr { transform: rotate(180deg); }

/* ===== REL ===== */
.gtm-smc822nbrt .smc-rel-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(210px, 1fr)); gap: 13px; }
.gtm-smc822nbrt .smc-rel-card { background: var(--smc-white); border: 1px solid var(--smc-border); border-radius: 8px; padding: 17px; text-decoration: none; display: block; transition: box-shadow 0.2s, border-color 0.2s, transform 0.15s; }
.gtm-smc822nbrt .smc-rel-card:hover { border-color: var(--smc-nv); box-shadow: 0 4px 14px rgba(118,185,0,0.12); transform: translateY(-2px); }
.gtm-smc822nbrt .smc-rel-icon { font-size: 22px; margin-bottom: 9px; }
.gtm-smc822nbrt .smc-rel-card h3 { font-size: 14px; font-weight: 700; color: var(--smc-navy); margin: 0 0 5px; }
.gtm-smc822nbrt .smc-rel-card p { font-size: 13px; color: var(--smc-muted); margin: 0; line-height: 1.5; }

/* ===== CTA BANNER — NVIDIA green gradient ===== */
.gtm-smc822nbrt .smc-cta-banner { background: linear-gradient(135deg, #003A70 0%, #0B4A2E 60%, var(--smc-nv-dark) 100%); border-radius: 10px; padding: 38px 32px; text-align: center; position: relative; overflow: hidden; }
.gtm-smc822nbrt .smc-cta-banner::before { content:""; position:absolute; top:-80px; right:-80px; width:260px; height:260px; border-radius:50%; background: radial-gradient(circle, rgba(156,223,58,0.2) 0%, rgba(156,223,58,0) 70%); pointer-events:none; }
.gtm-smc822nbrt .smc-cta-banner h2 { font-size: 24px; font-weight: 700; color: #fff; margin: 0 0 10px; position: relative; }
.gtm-smc822nbrt .smc-cta-banner p { font-size: 14px; color: rgba(255,255,255,0.88); margin: 0 0 22px; position: relative; }
.gtm-smc822nbrt .smc-cta-btns { display: flex; gap: 12px; justify-content: center; flex-wrap: wrap; position: relative; }
.gtm-smc822nbrt .smc-btn-white { background: #fff; color: var(--smc-nv-dark); padding: 12px 26px; font-size: 15px; font-weight: 700; border-radius: 4px; text-decoration: none; display: inline-flex; align-items: center; gap: 8px; transition: background 0.15s, transform 0.15s; }
.gtm-smc822nbrt .smc-btn-white:hover { background: var(--smc-nv-pale); transform: translateY(-1px); }
.gtm-smc822nbrt .smc-btn-ow { background: transparent; color: #fff; border: 2px solid rgba(255,255,255,0.5); padding: 12px 26px; font-size: 15px; font-weight: 600; border-radius: 4px; text-decoration: none; display: inline-flex; align-items: center; gap: 8px; }
.gtm-smc822nbrt .smc-btn-ow:hover { border-color: #fff; background: rgba(255,255,255,0.08); }

@media (max-width: 900px) { .gtm-smc822nbrt .smc-hero-in { grid-template-columns: 1fr; } .gtm-smc822nbrt .smc-hero-visual { max-width: 320px; margin: 0 auto; } }
@media (max-width: 700px) {
  .gtm-smc822nbrt .smc-hero { padding: 32px 20px 28px; }
  .gtm-smc822nbrt .smc-hero h1 { font-size: 22px; }
  .gtm-smc822nbrt .smc-hero h1 .pn { font-size: 16px; }
  .gtm-smc822nbrt .smc-stats { padding: 14px 16px; }
  .gtm-smc822nbrt .smc-stat { padding: 0 10px; }
  .gtm-smc822nbrt .smc-proto-grid { grid-template-columns: 1fr; }
  .gtm-smc822nbrt .smc-why { grid-template-columns: 1fr; padding: 22px; }
  .gtm-smc822nbrt .smc-why-intro { grid-column: 1; }
  .gtm-smc822nbrt .smc-arch-grid { grid-template-columns: 1fr; }
  .gtm-smc822nbrt .smc-arch-arrow { transform: rotate(90deg); }
}
</style>

<!-- ===== HTML İÇERİK ===== -->
<div class="gtm-smc822nbrt">

  <nav class="smc-bc" aria-label="Breadcrumb">
    <a href="https://gtmteknoloji.com">Ana Sayfa</a><span>›</span>
    <a href="https://gtmteknoloji.com/b2b">B2B Portal</a><span>›</span>
    <a href="https://gtmteknoloji.com/b2b/sunucu">Sunucu</a><span>›</span>
    <a href="https://gtmteknoloji.com/b2b/supermicro">Supermicro</a><span>›</span>
    <strong>SYS-822GS-NBRT</strong>
  </nav>

  <div class="smc-hero">
    <div class="smc-hero-in">
      <div>
        <div class="smc-badge"><span class="dot"></span> 8U GPU SuperServer · NVIDIA HGX B200 · Dual Intel Xeon 6700</div>
        <h1>
          Supermicro <span class="brand">SYS-822GS-NBRT</span> — 8× HGX B200 · 1.44TB HBM3e
          <span class="pn">Super X14DBG-H · CSE-GP807TS · Universal GPU 8U</span>
        </h1>
        <p class="smc-sub">NVIDIA HGX B200 8-GPU · 5. Nesil NVLink 1.8TB/s · Dual Intel Xeon 6700 P-core · 8TB DDR5 · 10 × PCIe 5.0 x16 · 8 × E1.S NVMe · 6 × 6600W Titanium — LLM, Generative AI ve HPC için enterprise sınıfı AI factory platformu.</p>
        <div class="smc-chips">
          <div class="smc-chip nv"><strong>NVIDIA</strong> HGX B200</div>
          <div class="smc-chip nv"><strong>8×</strong> Blackwell SXM</div>
          <div class="smc-chip nv"><strong>1.44TB</strong> HBM3e</div>
          <div class="smc-chip nv"><strong>NVLink 5</strong> 1.8TB/s</div>
          <div class="smc-chip"><strong>8TB</strong> DDR5</div>
          <div class="smc-chip"><strong>10×</strong> PCIe 5.0</div>
          <div class="smc-chip"><strong>6×</strong> 6600W Titanium</div>
          <div class="smc-chip"><strong>8U</strong> Air-Cooled</div>
        </div>
        <div class="smc-cta">
          <a href="https://gtmteknoloji.com/b2b/iletisim/#:~:text=YOUTUBE-,MESAJ%20G%C3%96NDER%C4%B0N,-HIZLI%20%C4%B0LET%C4%B0%C5%9E%C4%B0M%20FORMU" class="smc-btn-p">&#128231; Teklif İste</a>
          <a href="#smc-teknik" class="smc-btn-o">&#128203; Teknik Özellikler</a>
        </div>
      </div>
      <div class="smc-hero-visual" aria-hidden="true">
        <span class="pill">NVIDIA HGX B200</span>
        <div class="gpu-mark">8× GPU</div>
        <div class="gpu-name">Blackwell SXM · 1.44TB HBM3e</div>
        <div class="gpu-bars"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></div>
        <div class="gpu-spec">NVLink 5 · <strong>1.8TB/s</strong> all-to-all<br>180GB HBM3e / GPU · NVSwitch</div>
      </div>
    </div>
  </div>

  <div class="smc-stats">
    <div class="smc-stats-in">
      <div class="smc-stat"><div class="smc-sn">8<span>× B200</span></div><div class="smc-sl">HGX SXM</div></div>
      <div class="smc-stat"><div class="smc-sn">1.44<span>TB</span></div><div class="smc-sl">HBM3e Toplam</div></div>
      <div class="smc-stat"><div class="smc-sn">1.8<span>TB/s</span></div><div class="smc-sl">NVLink Fabric</div></div>
      <div class="smc-stat"><div class="smc-sn">8<span>TB</span></div><div class="smc-sl">DDR5 RDIMM</div></div>
      <div class="smc-stat"><div class="smc-sn">39.6<span>kW</span></div><div class="smc-sl">6× 6600W Titanium</div></div>
    </div>
  </div>

  <div class="smc-sec" style="margin-top:0;">
    <h2 class="smc-sec-title">Ürün Açıklaması</h2>

    <div class="smc-callout">
      <div class="smc-callout-icon">⚡</div>
      <div>
        <h4>SYS-822GS-NBRT Nedir? "Enterprise Sınıfı AI Factory: <span class="nv-hi">NVIDIA HGX B200</span> 8-GPU · 1.44TB HBM3e"</h4>
        <p><strong>Supermicro SYS-822GS-NBRT</strong>, 8U şasi içinde <span class="nv-hi">NVIDIA HGX B200 8-GPU baseboard</span> (Blackwell SXM · toplam 1.44TB HBM3e · GPU başına 180GB · 5. Nesil NVLink ve NVSwitch ile 1.8TB/s GPU-GPU fabric), çift Intel Xeon 6700 P-core işlemci, 8TB DDR5 RDIMM, 10 × PCIe 5.0 x16 slot ve 8 × hot-swap E1.S NVMe destekleyen bir GPU SuperServer'dır. Trilyon parametreli LLM, generative AI eğitimi, HPC simülasyonu, ilaç keşfi ve otonom araç AI dağıtımları için tasarlanmış enterprise sınıfı AI factory platformu.</p>
      </div>
    </div>

    <div class="smc-intro">
      <p><strong>Supermicro SYS-822GS-NBRT</strong>, <span class="nv-hi">NVIDIA HGX B200 8-GPU</span> platformunu enterprise veri merkezlerine getiren 8U universal GPU SuperServer'dır. <strong>Blackwell SXM</strong> mimarisi ile 8 GPU arasında toplam <strong>1.44TB HBM3e</strong> bellek (GPU başına 180GB) ve <strong>5. Nesil NVLink + NVSwitch</strong> ile 1.8TB/s all-to-all GPU-GPU fabric, trilyon parametreli LLM pre-training, generative AI, multi-modal model eğitimi ve real-time inference için optimize. <strong>Super X14DBG-H</strong> anakart üzerinde çift Socket E2 (LGA-4710) <strong>Intel Xeon 6700/6500 P-core</strong> işlemci (toplam 172C/344T · 350W TDP), 32 × DDR5 DIMM (4TB 6400 MT/s veya 8TB 5200 MT/s ECC RDIMM), <strong>8 × PCIe 5.0 x16 LP</strong> slot ile <span class="nv-hi">NVIDIA ConnectX-7 / ConnectX-8 SuperNIC</span> (OSFP 400/800GbE) yerleşimi ve NVIDIA Quantum-2 / Quantum-X800 InfiniBand fabric üzerinde SuperPOD ölçeklenmesi, 2 × PCIe 5.0 x16 FHHL, 2 × RJ45 10GbE (Intel X710), 8 × E1.S hot-swap NVMe + 2 × M.2 NVMe, 6 × 6600W Titanium (3+3 redundant, %96 verim) PSU ve TPM 2.0 + Silicon Root of Trust güvenlik katmanı sunulur. GTM Teknoloji, Supermicro Türkiye resmi distribütörü ve NVIDIA NPN üyesi olarak SYS-822GS-NBRT için USD fiyatlı kurumsal tedarik, AI fabric tasarımı, rack güç/soğutma planlaması ve 7/24 destek sağlar.</p>
    </div>

    <div class="smc-snip">
      <div class="smc-snip-lbl">&#128269; Hızlı Cevap — Featured Snippet</div>
      <strong>Supermicro SYS-822GS-NBRT nedir?</strong> 8U form faktörde NVIDIA HGX B200 8-GPU (Blackwell SXM · 1.44TB HBM3e · 180GB/GPU · NVLink 1.8TB/s), çift Intel Xeon 6700 P-core işlemci, 8TB DDR5, 10 × PCIe 5.0 x16 slot (ConnectX-7/8 SuperNIC hazır), 8 × E1.S NVMe ve 6 × 6600W Titanium PSU destekleyen enterprise AI factory sunucusudur. LLM training, generative AI, HPC ve ilaç keşfi iş yükleri için en yüksek performans katmanını sağlar.
    </div>

    <div class="smc-arch">
      <div class="smc-arch-title">SYS-822GS-NBRT — AI Factory Veri Akışı (Xeon 6700 → HGX B200 → SuperNIC)</div>
      <div class="smc-arch-grid">
        <div class="smc-arch-box">
          <div class="icon">🧠</div>
          <div class="lbl">CPU Katmanı</div>
          <div class="sub">2× Xeon 6700 P-core<br>DDR5-6400 · AMX · PCIe 5</div>
        </div>
        <div class="smc-arch-arrow">⇄</div>
        <div class="smc-arch-box highlight">
          <div class="icon">🎮</div>
          <div class="lbl">NVIDIA HGX B200 Fabric</div>
          <div class="sub">8× Blackwell SXM · 1.44TB HBM3e<br>NVLink 5 · 1.8TB/s · NVSwitch</div>
        </div>
        <div class="smc-arch-arrow">⇄</div>
        <div class="smc-arch-box">
          <div class="icon">🌐</div>
          <div class="lbl">Scale-Out</div>
          <div class="sub">10× PCIe 5.0 x16<br>CX-7/CX-8 · Quantum IB</div>
        </div>
      </div>
    </div>

    <div style="margin-top:20px;" class="smc-feat-grid">
      <div class="smc-feat-card nv"><div class="smc-feat-icon">🎮</div><h3>NVIDIA HGX B200 8-GPU</h3><p>Blackwell SXM · 8 GPU · toplam 1.44TB HBM3e (GPU başına 180GB). FP4/FP8 Transformer Engine 2 ile trilyon parametreli LLM training ve real-time inference.</p></div>
      <div class="smc-feat-card nv"><div class="smc-feat-icon">🔗</div><h3>5. Nesil NVLink + NVSwitch</h3><p>GPU-GPU arası 1.8TB/s all-to-all bant genişliği. Model paralelizmi için minimum gecikme, tensor ve pipeline parallel training için optimize.</p></div>
      <div class="smc-feat-card"><div class="smc-feat-icon">🧠</div><h3>Dual Intel Xeon 6700 P-core</h3><p>Socket E2 (LGA-4710) · 350W TDP · CPU başına 86C/172T (672MB L3). AMX ve AVX-512 ile data pipeline, embedding ve preprocessing hızlandırma.</p></div>
      <div class="smc-feat-card"><div class="smc-feat-icon">💾</div><h3>8TB DDR5 Bellek</h3><p>32 × DDR5 DIMM · 4TB 6400 MT/s (1DPC) veya 8TB 5200 MT/s (2DPC) ECC RDIMM. Büyük dataset staging ve GPU feed için ideal bellek havuzu.</p></div>
      <div class="smc-feat-card nv"><div class="smc-feat-icon">🔀</div><h3>ConnectX-7 / CX-8 SuperNIC Hazır</h3><p>8 × PCIe 5.0 x16 LP slot, NVIDIA ConnectX-7 (NDR 400GbE) veya ConnectX-8 SuperNIC (XDR 800GbE) ile Quantum-2 / Quantum-X800 IB scale-out.</p></div>
      <div class="smc-feat-card"><div class="smc-feat-icon">💿</div><h3>8× E1.S Hot-Swap NVMe</h3><p>Ön panel 8 × E1.S NVMe (PCIe 5.0 x4) + 2 × M.2 NVMe (2280/22110 · boot ve cache). Dataset ve checkpoint için yüksek IOPS depolama.</p></div>
      <div class="smc-feat-card"><div class="smc-feat-icon">🔋</div><h3>6× 6600W Titanium (3+3)</h3><p>%96 verimli Titanium, 3+3 redundant. 230V'ta ~19.5kW sürdürülebilir çıkış. Yüksek güç AI dağıtımı için 200-240V rack PDU uyumlu.</p></div>
      <div class="smc-feat-card"><div class="smc-feat-icon">🔐</div><h3>TPM 2.0 · Silicon RoT</h3><p>TPM 2.0 · NIST 800-193 uyumlu Silicon Root of Trust · İmzalı firmware · Runtime BMC Protection · System Lockdown · SuperCloud Composer yönetimi.</p></div>
    </div>
  </div>

  <div class="smc-sec">
    <h2 class="smc-sec-title">HGX B200 vs HGX B300 — Upgrade Path</h2>
    <p style="font-size:14px;color:#5A6478;margin-bottom:14px;">SYS-822GS-NBRT (HGX B200) ile yeni nesil SYS-822GS-NB3RT (HGX B300 Blackwell Ultra) arasındaki temel farklar — aynı 8U şasi ve Xeon 6700 CPU platformunu paylaşan iki seçenek:</p>
    <div class="smc-cmp">
      <table class="smc-cmp-tbl">
        <thead>
          <tr><th style="width:24%">Özellik</th><th class="me">SYS-822GS-NBRT (B200)</th><th class="alt">SYS-822GS-NB3RT (B300)</th></tr>
        </thead>
        <tbody>
          <tr><td>GPU Mimarisi</td><td class="me">NVIDIA Blackwell SXM</td><td>NVIDIA Blackwell Ultra SXM</td></tr>
          <tr><td>GPU Baseboard</td><td class="me">HGX B200 8-GPU</td><td>HGX B300 8-GPU</td></tr>
          <tr><td>HBM3e (GPU başına)</td><td class="me">180 GB</td><td>288 GB</td></tr>
          <tr><td>HBM3e (Toplam)</td><td class="me">1.44 TB</td><td>2.3 TB</td></tr>
          <tr><td>NVLink</td><td class="me">5. Nesil · 1.8 TB/s</td><td>5. Nesil · 1.8 TB/s</td></tr>
          <tr><td>CPU</td><td class="me">Intel Xeon 6700 P-core · 350W TDP</td><td>Intel Xeon 6700 P-core · 350W TDP</td></tr>
          <tr><td>Bellek</td><td class="me">32× DDR5 · 8 TB</td><td>32× DDR5 · 8 TB</td></tr>
          <tr><td>PSU</td><td class="me">6× 6600W Titanium</td><td>6× 6600W Titanium</td></tr>
          <tr><td>Kullanım Senaryosu</td><td class="me">Production inference · Research · LLM fine-tuning</td><td>Frontier model training · Trilyon param. pre-training</td></tr>
        </tbody>
      </table>
    </div>
    <p style="font-size:12px;color:#5A6478;margin-top:10px;">* B200 ve B300 modelleri aynı 8U şasi/CPU platformunda geliştiğinden, aşamalı geçiş (phased rollout) senaryoları için GTM mühendislik ekibiyle iletişime geçebilirsiniz.</p>
  </div>

  <div class="smc-sec" id="smc-teknik">
    <h2 class="smc-sec-title">Teknik Özellikler</h2>
    <div class="smc-snip" style="margin-bottom:18px;">
      <div class="smc-snip-lbl">&#128203; Teknik Özet</div>
      <strong>SYS-822GS-NBRT</strong> · Super X14DBG-H · CSE-GP807TS · 8U Rackmount · Dual Socket E2 (LGA-4710) · Intel Xeon 6700/6500 P-core (350W TDP · 172C/344T) · NVIDIA HGX B200 8-GPU · 1.44TB HBM3e (180GB/GPU) · NVLink 5 1.8TB/s · 32 × DDR5 DIMM · 4TB 6400 / 8TB 5200 MT/s · 2 × X710 10GbE · 8 × E1.S NVMe · 2 × M.2 NVMe · 8 × PCIe 5.0 x16 LP + 2 × PCIe 5.0 x16 FHHL · 6 × 6600W Titanium (3+3) · TPM 2.0 · Silicon RoT
    </div>
    <div class="smc-tbl-wrap">
      <table class="smc-tbl">
        <thead><tr><th style="width:34%">Özellik</th><th>Değer</th></tr></thead>
        <tbody>
          <tr class="group-row"><td colspan="2">Genel</td></tr>
          <tr><td>Ürün Kodu (SKU)</td><td>SYS-822GS-NBRT</td></tr>
          <tr><td>Anakart</td><td>Super X14DBG-H (Intel C741 chipset)</td></tr>
          <tr><td>Şasi</td><td>CSE-GP807TS</td></tr>
          <tr><td>Form Factor</td><td>8U Rackmount · Universal GPU · Air-Cooled</td></tr>
          <tr><td>Boyutlar (H×W×D)</td><td>356 mm × 449 mm × 950 mm (13.8" × 17.6" × 37.4")</td></tr>
          <tr><td>Ağırlık</td><td>Net 133 kg (293 lbs)</td></tr>

          <tr class="group-row"><td colspan="2">İşlemci (CPU)</td></tr>
          <tr><td>Soket</td><td>Dual Socket E2 (LGA-4710)</td></tr>
          <tr><td>Desteklenen CPU</td><td>Intel® Xeon® 6700 / 6500 serisi P-core</td></tr>
          <tr><td>Maks. Çekirdek / Thread</td><td>172C / 344T (2× 86C)</td></tr>
          <tr><td>Maks. L3 Cache</td><td>336 MB / CPU (672 MB toplam)</td></tr>
          <tr><td>Maks. TDP</td><td>350W (Hava Soğutmalı)</td></tr>

          <tr class="group-row"><td colspan="2">GPU & NVLink Fabric</td></tr>
          <tr><td>GPU Baseboard</td><td>NVIDIA HGX B200 8-GPU (SXM)</td></tr>
          <tr><td>GPU Mimarisi</td><td>NVIDIA Blackwell</td></tr>
          <tr><td>HBM3e / GPU</td><td><span class="smc-badge-nv">180 GB</span></td></tr>
          <tr><td>Toplam HBM3e Bellek</td><td><span class="smc-badge-nv">1.44 TB</span></td></tr>
          <tr><td>GPU-GPU Interconnect</td><td><span class="smc-badge-nv">5. Nesil NVLink + NVSwitch · 1.8TB/s</span></td></tr>
          <tr><td>CPU-GPU Interconnect</td><td>PCIe 5.0 x16 (her GPU başına)</td></tr>
          <tr><td>GPU TDP</td><td>1000W / GPU (hava soğutmalı)</td></tr>
          <tr><td>Hesaplama Hassasiyeti</td><td>FP4 / FP8 / FP16 / BF16 / TF32 / FP64 · Transformer Engine 2</td></tr>

          <tr class="group-row"><td colspan="2">Bellek (CPU Tarafı)</td></tr>
          <tr><td>Yuva Sayısı</td><td>32 × DDR5 DIMM</td></tr>
          <tr><td>Maks. Kapasite (1DPC)</td><td>4 TB · 6400 MT/s</td></tr>
          <tr><td>Maks. Kapasite (2DPC)</td><td>8 TB · 5200 MT/s</td></tr>
          <tr><td>Tip</td><td>ECC DDR5 RDIMM · 1.1V</td></tr>

          <tr class="group-row"><td colspan="2">Ağ & I/O</td></tr>
          <tr><td>Yönetim/Storage LAN</td><td>2 × RJ45 10GbE (Intel X710)</td></tr>
          <tr><td>BMC LAN</td><td>1 × RJ45 1GbE Dedicated</td></tr>
          <tr><td>Yüksek Hızlı LAN (opsiyonel)</td><td>8 × PCIe 5.0 x16 LP slot — NVIDIA ConnectX-7 (NDR 400GbE) veya ConnectX-8 SuperNIC (XDR 800GbE OSFP) ile donatılabilir</td></tr>
          <tr><td>USB</td><td>1 × USB 3.0 Type-A + 1 × USB 2.0 Type-A</td></tr>
          <tr><td>Video</td><td>1 × VGA + 1 × Mini-DisplayPort</td></tr>

          <tr class="group-row"><td colspan="2">Genişleme (PCIe)</td></tr>
          <tr><td>Low-Profile Slotlar</td><td>8 × PCIe 5.0 x16 LP (SuperNIC/DPU/GPU direct)</td></tr>
          <tr><td>FHHL Slotlar</td><td>2 × PCIe 5.0 x16 FHHL</td></tr>
          <tr><td>Toplam PCIe 5.0 x16</td><td>10 slot</td></tr>

          <tr class="group-row"><td colspan="2">Depolama</td></tr>
          <tr><td>Hot-Swap Yuvalar</td><td>8 × Ön E1.S NVMe (PCIe 5.0 x4)</td></tr>
          <tr><td>M.2 NVMe</td><td>2 × M.2 PCIe 5.0 x4 NVMe (2280 / 22110 · M-key)</td></tr>

          <tr class="group-row"><td colspan="2">Güç & Soğutma</td></tr>
          <tr><td>Güç Kaynağı</td><td>6 × 6600W Titanium Level (%96 verim) · 3+3 Redundant</td></tr>
          <tr><td>Giriş</td><td>200-240Vac · 50-60Hz (230V'ta 6500W/PSU)</td></tr>
          <tr><td>Fan</td><td>12 × heavy-duty PWM counter-rotating · sıcaklık kontrollü</td></tr>

          <tr class="group-row"><td colspan="2">Güvenlik & Yönetim</td></tr>
          <tr><td>Donanım Güvenliği</td><td>TPM 2.0 · Silicon Root of Trust (NIST 800-193) · İmzalı Firmware · Secure Boot · Runtime BMC Protection · System Lockdown</td></tr>
          <tr><td>Yönetim Yazılımı</td><td>SuperCloud Composer · Supermicro Server Manager (SSM) · Super Diagnostics Offline (SDO) · Thin-Agent Service (TAS) · SuperServer Automation Assistant (SAA)</td></tr>
          <tr><td>BIOS</td><td>AMI 64MB UEFI</td></tr>

          <tr class="group-row"><td colspan="2">Çevresel</td></tr>
          <tr><td>Çalışma Sıcaklığı</td><td>10°C – 35°C (50°F – 95°F)</td></tr>
          <tr><td>Depolama Sıcaklığı</td><td>-40°C – 60°C</td></tr>
          <tr><td>Nem</td><td>%8 – %90 yoğuşmasız (çalışma)</td></tr>
          <tr><td>Garanti</td><td>3 yıl işçilik · 1 yıl parça · ilk yıl overnight değişim</td></tr>
        </tbody>
      </table>
    </div>

    <h3 style="font-size:17px;font-weight:700;color:#003A70;margin:24px 0 12px;">Desteklenen GPU Fabric & Depolama Opsiyonları</h3>
    <div class="smc-proto-grid">
      <div class="smc-proto-card">
        <div class="smc-proto-head gpu">&#127918; NVIDIA HGX B200 Fabric</div>
        <ul class="smc-proto-list">
          <li>8× Blackwell SXM</li><li>180GB HBM3e / GPU</li>
          <li>1.44TB HBM3e toplam</li><li>NVLink 5 · 1.8TB/s</li>
          <li>NVSwitch all-to-all</li><li>FP4 / FP8 / BF16</li>
          <li>Transformer Engine 2</li>
        </ul>
      </div>
      <div class="smc-proto-card">
        <div class="smc-proto-head stg">&#128451; Depolama & Boot</div>
        <ul class="smc-proto-list">
          <li>8× E1.S NVMe Gen5</li><li>2× M.2 NVMe Gen5</li>
          <li>Hot-Swap</li><li>Lustre / GPFS ready</li>
          <li>NFSv4 / RDMA</li>
        </ul>
      </div>
    </div>
  </div>

  <div class="smc-sec">
    <h2 class="smc-sec-title">Kullanım Alanları</h2>
    <div class="smc-use-grid">
      <div class="smc-use-card"><div class="smc-use-tag">LLM Training</div><h3>Geniş Ölçekli LLM Pre-Training</h3><p>1.44TB HBM3e ve NVLink 1.8TB/s ile 100B+ parametreli foundation model pre-training ve fine-tuning. FP4/FP8 Transformer Engine ile verimli scaling.</p></div>
      <div class="smc-use-card"><div class="smc-use-tag">Generative AI</div><h3>Generative AI & Multi-Modal</h3><p>Stable Diffusion, Sora ölçekli video üretimi, multi-modal (vision + language) model eğitimi ve üretim çıkarımı (production inference).</p></div>
      <div class="smc-use-card"><div class="smc-use-tag">HPC</div><h3>HPC & Bilimsel Hesaplama</h3><p>CFD, moleküler dinamik, iklim modellemesi, kuantum kimya simülasyonları. TF32/FP64 performansı ile CUDA-X HPC kütüphaneleri.</p></div>
      <div class="smc-use-card"><div class="smc-use-tag">Drug Discovery</div><h3>İlaç Keşfi & Biyoinformatik</h3><p>AlphaFold protein folding, molecule docking, NVIDIA BioNeMo ile generative drug design, genomik sequencing pipeline hızlandırma.</p></div>
      <div class="smc-use-card"><div class="smc-use-tag">Otonom Araç</div><h3>Otonom Araç AI & Robotics</h3><p>Autonomous driving model training, NVIDIA DRIVE, Isaac robotics simülasyon ve digital twin. Multi-camera + LiDAR fusion inference.</p></div>
      <div class="smc-use-card"><div class="smc-use-tag">Finans</div><h3>Finans, Fraud & BI Analitik</h3><p>Finansal risk modelleme, algo trading, real-time fraud detection, Monte Carlo simülasyon ve büyük ölçek BI/analitik iş yükleri.</p></div>
    </div>
  </div>

  <div class="smc-sec">
    <h2 class="smc-sec-title">Uyumlu Bileşenler</h2>
    <p style="font-size:14px;color:#5A6478;margin-bottom:14px;">SYS-822GS-NBRT, NVIDIA AI Enterprise ve Supermicro AI factory referans tasarımları ile doğrulanmıştır:</p>
    <div class="smc-compat">
      <div class="smc-compat-item">NVIDIA HGX B200 8-GPU Baseboard</div>
      <div class="smc-compat-item">NVIDIA ConnectX-7 NIC (NDR 400GbE)</div>
      <div class="smc-compat-item">NVIDIA ConnectX-8 SuperNIC (XDR 800GbE)</div>
      <div class="smc-compat-item">NVIDIA BlueField-3 DPU</div>
      <div class="smc-compat-item">NVIDIA Quantum-2 / Quantum-X800 InfiniBand</div>
      <div class="smc-compat-item">NVIDIA Spectrum-X Ethernet Fabric</div>
      <div class="smc-compat-item">NVIDIA AI Enterprise Suite</div>
      <div class="smc-compat-item">NVIDIA NIM Microservices</div>
      <div class="smc-compat-item">NVIDIA NeMo Framework</div>
      <div class="smc-compat-item">Intel Xeon 6700 / 6500 P-core SKU'ları</div>
      <div class="smc-compat-item">Ubuntu 24.04 LTS · RHEL 9.x</div>
      <div class="smc-compat-item">Kubernetes · Slurm · Run:ai</div>
    </div>
    <p style="font-size:12px;color:#5A6478;margin-top:10px;">* AI fabric topoloji tasarımı ve SuperPOD referans mimari entegrasyonu için GTM Teknoloji mühendislik ekibiyle iletişime geçiniz.</p>
  </div>

  <div class="smc-sec">
    <div class="smc-why">
      <div class="smc-why-intro">
        <h2>Neden GTM Teknoloji?</h2>
        <p>GTM Teknoloji, 2009'dan bu yana Supermicro Türkiye resmi distribütörü ve NVIDIA Partner Network (NPN) üyesi olarak HGX tabanlı AI factory projelerinin kurumsal tedarik, tasarım ve entegrasyonunda deneyimli bir çözüm ortağıdır. SYS-822GS-NBRT dahil HGX B200 portföyü için resmi kanal tedariki (USD fiyatlama), NVIDIA Quantum-2 / Quantum-X800 IB fabric tasarımı, rack güç/soğutma planlaması, sahada kurulum, NVIDIA AI Enterprise lisans entegrasyonu, yedek parça ve 7/24 teknik destek hizmetleri tek noktadan sağlanır.</p>
      </div>
      <div class="smc-why-item"><div class="smc-why-icon">🏆</div><div><h4>Supermicro + NVIDIA Partner</h4><p>2009'dan beri Supermicro Türkiye kanalı · NVIDIA NPN üyesi · Proxmox Silver Partner. HGX B200/B300, H200 NVL, L40S portföyünde tecrübe.</p></div></div>
      <div class="smc-why-item"><div class="smc-why-icon">⚡</div><div><h4>AI Factory Tasarımı</h4><p>SuperPOD ölçeğinde IB fabric, Quantum-X800 topoloji, rack güç (208-240V / 60A PDU), hot-aisle/cold-aisle, sıvı soğutma planlaması.</p></div></div>
      <div class="smc-why-item"><div class="smc-why-icon">🔧</div><div><h4>Proje Bazlı Entegrasyon</h4><p>NVIDIA AI Enterprise, NeMo, NIM entegrasyonu · K8s/Slurm kurulumu · 7/24 SLA destek · yerinde overnight parça değişimi.</p></div></div>
    </div>
  </div>

  <div class="smc-sec">
    <h2 class="smc-sec-title">Sıkça Sorulan Sorular</h2>
    <div class="smc-snip" style="margin-bottom:18px;">
      <div class="smc-snip-lbl">&#127358; Featured Snippet</div>
      <strong>Supermicro SYS-822GS-NBRT ne yapar?</strong> 8U form faktörde NVIDIA HGX B200 8-GPU (1.44TB HBM3e · 180GB/GPU · NVLink 1.8TB/s) baseboard, çift Intel Xeon 6700 P-core işlemci, 8TB DDR5 bellek, 10 × PCIe 5.0 x16 slot (ConnectX-7/8 SuperNIC hazır) ve 6 × 6600W Titanium PSU ile trilyon parametreli LLM training, generative AI, HPC simülasyonu ve AI inference iş yüklerini enterprise sınıfta çalıştırır.
    </div>
    <div>
      <div class="smc-faq-item"><div class="smc-faq-q" onclick="smc822nbrtFAQ(this)">Supermicro SYS-822GS-NBRT hangi iş yükleri için tasarlanmıştır?<span class="smc-arr">&#8964;</span></div><div class="smc-faq-a">SYS-822GS-NBRT, NVIDIA HGX B200 8-GPU platformu ile büyük dil modeli (LLM) ve generative AI eğitimi, derin öğrenme inference, HPC, ilaç keşfi, otonom araç AI, bilimsel hesaplama, finansal dolandırıcılık tespiti ve konuşma AI gibi en yüksek yoğunluklu AI/HPC iş yükleri için tasarlanmıştır. 1.44TB HBM3e bellek ve 1.8TB/s 5. Nesil NVLink ile trilyon parametreli modelleri eğitmek için optimize edilmiştir.</div></div>
      <div class="smc-faq-item"><div class="smc-faq-q" onclick="smc822nbrtFAQ(this)">NVIDIA HGX B200 8-GPU ne sunar?<span class="smc-arr">&#8964;</span></div><div class="smc-faq-a">NVIDIA HGX B200, Blackwell mimarisi SXM formunda 8 GPU'lu baseboard üzerinde GPU başına 180GB HBM3e bellek ve toplamda 1.44TB HBM3e sunar. 5. Nesil NVLink ve NVSwitch ile GPU-GPU arası 1.8TB/s all-to-all bant genişliği sağlanır. Transformer Engine 2 ve FP4/FP8/BF16 hassasiyeti ile trilyon parametreli LLM training ve real-time inference'da önceki H100/H200 nesiline göre önemli performans sıçraması sunar.</div></div>
      <div class="smc-faq-item"><div class="smc-faq-q" onclick="smc822nbrtFAQ(this)">Intel Xeon 6700 P-core serisi ne avantaj sağlar?<span class="smc-arr">&#8964;</span></div><div class="smc-faq-a">Intel Xeon 6700 P-core serisi (Granite Rapids-AP) Socket E2 (LGA-4710), CPU başına 86 çekirdek / 172 iş parçacığı ve 350W TDP'ye kadar destek sunar. SYS-822GS-NBRT çift soket yapılandırmada toplam 172C/344T, 672MB L3 cache, 12 kanal DDR5-6400 ve PCIe 5.0 ile HGX B200 GPU fabric'ine yüksek bant genişlikli CPU-GPU veri akışı sağlar. AMX ve AVX-512 komutları ile preprocessing ve data pipeline hızlandırılır.</div></div>
      <div class="smc-faq-item"><div class="smc-faq-q" onclick="smc822nbrtFAQ(this)">SYS-822GS-NBRT'de ağ yapısı ve GPU fabric genişlemesi nasıldır?<span class="smc-arr">&#8964;</span></div><div class="smc-faq-a">Anakart üzerinde standart 2 × RJ45 10GbE (Intel X710) management/storage LAN ve 1 × dedicated BMC 1GbE port mevcuttur. Ek olarak 8 × PCIe 5.0 x16 LP slot NVIDIA ConnectX-7 / ConnectX-8 SuperNIC (OSFP 400/800GbE · IB NDR/XDR veya Ethernet) ile AI fabric için GPU başına dedicated NIC yerleştirmeye imkân tanır. NVIDIA Quantum-2 / Quantum-X800 InfiniBand veya Spectrum-X Ethernet fabric üzerinde çoklu düğümlü SuperPOD ölçeğinde training için optimize.</div></div>
      <div class="smc-faq-item"><div class="smc-faq-q" onclick="smc822nbrtFAQ(this)">Depolama ve PCIe genişleme ne sunar?<span class="smc-arr">&#8964;</span></div><div class="smc-faq-a">Ön panelde 8 × hot-swap E1.S NVMe sürücü yuvası (PCIe 5.0 x4) ve anakart üzerinde 2 × M.2 NVMe (2280/22110 · PCIe 5.0 x4) boot/dataset cache için bulunur. Ayrıca 8 × PCIe 5.0 x16 LP + 2 × PCIe 5.0 x16 FHHL slot DPU, BlueField-3, SuperNIC veya özel hızlandırıcı için kullanılabilir. Veri setlerinin GPU'lara hızlı besleme için yüksek IOPS ve bant genişliği sağlar.</div></div>
      <div class="smc-faq-item"><div class="smc-faq-q" onclick="smc822nbrtFAQ(this)">SYS-822GS-NBRT vs SYS-822GS-NB3RT farkı nedir?<span class="smc-arr">&#8964;</span></div><div class="smc-faq-a">SYS-822GS-NBRT, NVIDIA HGX B200 (Blackwell) ile 1.44TB HBM3e (180GB/GPU) taşır; SYS-822GS-NB3RT ise yeni nesil HGX B300 (Blackwell Ultra) ile 2.3TB HBM3e (288GB/GPU) sunar. Her iki sistem aynı 8U şasi ve Intel Xeon 6700 P-core CPU platformunu paylaşır. B300 modeli daha büyük HBM3e kapasitesi ve geliştirilmiş Transformer Engine ile trilyon parametreli frontier modeller için seçilirken, B200 maliyet-performans optimizasyonu ile geniş ölçekli üretim inference ve research iş yükleri için tercih edilir.</div></div>
      <div class="smc-faq-item"><div class="smc-faq-q" onclick="smc822nbrtFAQ(this)">Güç, soğutma ve fiziksel gereksinimler nedir?<span class="smc-arr">&#8964;</span></div><div class="smc-faq-a">Sistem 6 × 6600W Titanium seviyesi (%96 verim) güç kaynağı 3+3 yedekli yapıda sunar; 230V girişte maksimum 6500W/PSU, toplam ~19.5kW çıkış. 12 adet heavy-duty PWM fan ile hava soğutmalı tasarım, 10°C-35°C arası çalışma sıcaklığı. Boyutlar 8U yüksekliğinde 356 × 449 × 950 mm, net ağırlık 133 kg. Yüksek güç rack'ı (208-240V · 60A PDU önerilir) ve soğutma altyapısı zorunludur.</div></div>
      <div class="smc-faq-item"><div class="smc-faq-q" onclick="smc822nbrtFAQ(this)">Türkiye'de Supermicro SYS-822GS-NBRT nereden alınır?<span class="smc-arr">&#8964;</span></div><div class="smc-faq-a">GTM Teknoloji, 2009'dan bu yana Supermicro'nun Türkiye resmi distribütörü ve NVIDIA Partner Network (NPN) üyesidir. SYS-822GS-NBRT için kurumsal fiyat teklifi (USD), CPU/bellek konfigürasyonu, NVIDIA ConnectX-7/8 SuperNIC seçimi, Quantum / Quantum-X800 InfiniBand fabric tasarımı, rack güç/soğutma planlaması, sahada kurulum, NVIDIA AI Enterprise lisans entegrasyonu ve 7/24 teknik destek gtmteknoloji.com/b2b üzerinden sağlanır. Proje bazlı SuperPOD ölçeğinde AI factory dağıtımı için satış ve mühendislik ekibimizle iletişime geçebilirsiniz.</div></div>
    </div>
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  <div class="smc-sec">
    <h2 class="smc-sec-title">İlgili Ürünler</h2>
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      <a href="https://gtmteknoloji.com/b2b/supermicro-sys-822gs-nb3rt" class="smc-rel-card"><div class="smc-rel-icon">🚀</div><h3>Supermicro SYS-822GS-NB3RT</h3><p>8U HGX B300 Blackwell Ultra · 2.3TB HBM3e · Gold Series</p></a>
      <a href="https://gtmteknoloji.com/b2b/nvidia-hgx-b200" class="smc-rel-card"><div class="smc-rel-icon">🎮</div><h3>NVIDIA HGX B200</h3><p>Blackwell 8-GPU baseboard — 1.44TB HBM3e · NVLink 5</p></a>
      <a href="https://gtmteknoloji.com/b2b/nvidia-connectx-8-supernic" class="smc-rel-card"><div class="smc-rel-icon">🔀</div><h3>NVIDIA ConnectX-8 SuperNIC</h3><p>800GbE OSFP · IB XDR · AI fabric için dedicated NIC</p></a>
      <a href="https://gtmteknoloji.com/b2b/nvidia-ai-enterprise" class="smc-rel-card"><div class="smc-rel-icon">🧠</div><h3>NVIDIA AI Enterprise</h3><p>NIM, NeMo, CUDA-X — üretim sınıfı AI yazılım yığını</p></a>
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  <div class="smc-cta-banner">
    <h2>Supermicro SYS-822GS-NBRT için Fiyat Teklifi Alın (USD)</h2>
    <p>GTM Teknoloji satış ve AI mühendislik ekibi; HGX B200 konfigürasyonu, ConnectX-7/8 SuperNIC seçimi, SuperPOD fabric tasarımı ve resmi distribütör fiyat teklifi için hazır.</p>
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		<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/gpu-server/supermicro-hgx-b200-8-gpu-server-sys-822gs-nbrt-8u/">Supermicro HGX B200 8-GPU Server | SYS-822GS-NBRT 8U</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
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