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	<title>PNY GPU Türkiye / PNY NVIDIA kart fiyatları - GTM Teknoloji</title>
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	<title>PNY GPU Türkiye / PNY NVIDIA kart fiyatları - GTM Teknoloji</title>
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		<title>NVIDIA RTX PRO 4500 Blackwell Server Edition &#124; NVRTXPRO4500TCGPU-KIT</title>
		<link>https://gtmteknoloji.com/b2b/magaza/ekran-karti/nvidia-rtx-pro-4500-blackwell-server-edition-nvrtxpro4500tcgpu-kit/</link>
		
		<dc:creator><![CDATA[Dilan Bursalı]]></dc:creator>
		<pubDate>Sat, 28 Mar 2026 21:02:00 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=12163</guid>

					<description><![CDATA[<p>HER TÜRLÜ KURUMSAL İŞ YÜKÜ İÇİN TAVİZSİZ PERFORMANS VE VERİMLİLİK NVIDIA RTX PRO 4500 BLACKWELL SERVER EDITION NVIDIA RTX PRO™</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/nvidia-rtx-pro-4500-blackwell-server-edition-nvrtxpro4500tcgpu-kit/">NVIDIA RTX PRO 4500 Blackwell Server Edition | NVRTXPRO4500TCGPU-KIT</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></description>
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					<h2 class="elementor-heading-title elementor-size-default">HER TÜRLÜ KURUMSAL İŞ YÜKÜ İÇİN TAVİZSİZ PERFORMANS VE VERİMLİLİK</h2>				</div>
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					<h1 class="elementor-heading-title elementor-size-default">NVIDIA RTX PRO 4500 BLACKWELL SERVER EDITION</h1>				</div>
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			<p>NVIDIA RTX PRO™ 4500 Blackwell Server Edition, Blackwell mimarisinin devrim niteliğindeki yeteneklerini ana akım kurumsal veri merkezi ve uç platformlarına getiriyor. Beşinci nesil tensör çekirdekleri, dördüncü nesil RT çekirdekleri ve 32 GB yüksek hızlı GDDR7 belleği ile, tek yuvalı, enerji tasarruflu bir tasarımda zorlu veri işleme, yapay zeka, video ve görsel hesaplama iş yükleri için çığır açan performans ve verimlilik sunuyor.</p>
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    <tr><td><strong>PNY Part Number</strong></td><td>NVRTXPRO4500TCGPU-KIT</td></tr>
    <tr><td><strong>Mimari</strong></td><td>NVIDIA Blackwell Architecture</td></tr>
    <tr><td><strong>NVIDIA Tensor Cores</strong></td><td>203 (5. Nesil)</td></tr>
    <tr><td><strong>Foundry</strong></td><td>TSMC</td></tr>
    <tr><td><strong>Süreç Boyutu</strong></td><td>4 nm Custom Process</td></tr>
    <tr><td><strong>Transistör Sayısı</strong></td><td>45.6 Milyar</td></tr>
    <tr><td><strong>Die Boyutu</strong></td><td>378 mm²</td></tr>
    <tr><td><strong>CUDA Paralel İşlem Çekirdeği</strong></td><td>10,496</td></tr>
    <tr><td><strong>NVIDIA RT Cores</strong></td><td>82 (4. Nesil)</td></tr>
    <tr><td><strong>Tek Hassasiyet Performansı (FP32)</strong></td><td>51 TFLOPS</td></tr>
    <tr><td><strong>TF32 Tensor Core</strong></td><td>203 TFLOPS</td></tr>
    <tr><td><strong>FP16 / BF16 Tensor Core</strong></td><td>406 TFLOPS</td></tr>
    <tr><td><strong>FP8 Tensor Core</strong></td><td>811 TFLOPS</td></tr>
    <tr><td><strong>FP4 Tensor Core</strong></td><td>1.6 PFLOPS</td></tr>
    <tr><td><strong>INT8 Tensor Core</strong></td><td>811 TOPS</td></tr>
    <tr><td><strong>Peak RT Core Performansı</strong></td><td>154 TFLOPS</td></tr>
    <tr><td><strong>GPU Belleği</strong></td><td>32GB GDDR7</td></tr>
    <tr><td><strong>Bellek Arayüzü</strong></td><td>256-bit</td></tr>
    <tr><td><strong>Bellek Bant Genişliği</strong></td><td>800 GB/s</td></tr>
    <tr><td><strong>Güç Tüketimi</strong></td><td>165W</td></tr>
    <tr><td><strong>Multi-Instance GPU</strong></td><td>2x MIG @ 16GB'a kadar</td></tr>
    <tr><td><strong>NVENC / NVDEC</strong></td><td>3x / 3x</td></tr>
    <tr><td><strong>Gizli Hesaplama</strong></td><td>Destekleniyor</td></tr>
    <tr><td><strong>Ara Bağlantı</strong></td><td>PCI Express 5.0 x16</td></tr>
    <tr><td><strong>Form Faktörü</strong></td><td>4.4" Y x 10.5" U, FHFL Tek Slot</td></tr>
    <tr><td><strong>Ürün Ağırlığı</strong></td><td>1055 gram</td></tr>
    <tr><td><strong>Termal Çözüm</strong></td><td>Pasif</td></tr>
    <tr><td><strong>Güç Konnektörü</strong></td><td>1x PCIe CEM5 16-pin</td></tr>
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		<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/nvidia-rtx-pro-4500-blackwell-server-edition-nvrtxpro4500tcgpu-kit/">NVIDIA RTX PRO 4500 Blackwell Server Edition | NVRTXPRO4500TCGPU-KIT</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
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		<title>Nvidia L40S 48GB Datacenter GPU &#124; 900-2G133-0080-000</title>
		<link>https://gtmteknoloji.com/b2b/magaza/ekran-karti/nvidia-l40s-48gb-datacenter-gpu-900-2g133-0080-000/</link>
		
		<dc:creator><![CDATA[Dilan Bursalı]]></dc:creator>
		<pubDate>Sat, 28 Mar 2026 20:50:25 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=12146</guid>

					<description><![CDATA[<p>NVIDIA L40S 48GB Datacenter GPU &#124; 900-2G133-0080-000 Veri Merkezi için Benzersiz Yapay Zeka ve Grafik Performansı Ada Lovelace mimarisine dayanan</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/nvidia-l40s-48gb-datacenter-gpu-900-2g133-0080-000/">Nvidia L40S 48GB Datacenter GPU | 900-2G133-0080-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></description>
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					<h1 class="elementor-heading-title elementor-size-default">NVIDIA L40S 48GB Datacenter GPU | 900-2G133-0080-000</h1>				</div>
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					<h2 class="elementor-heading-title elementor-size-default">Veri Merkezi için Benzersiz Yapay Zeka ve Grafik Performansı</h2>				</div>
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			<p>Ada Lovelace mimarisine dayanan NVIDIA L40S GPU, veri merkezleri için en güçlü evrensel GPU olup, büyük dil modeli (LLM) çıkarımı ve eğitimi, grafik ve video uygulamaları için çığır açan çoklu iş yükü hızlandırması sunar. Çok modlu üretken yapay zeka için önde gelen platform olan L40S GPU, yeni nesil yapay zeka destekli ses, konuşma, 2D, video ve 3D uygulamalarına güç vermek için çıkarım, eğitim, grafik ve video iş akışları için uçtan uca hızlandırma sağlar.</p>
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			<table class="table"><tbody><tr><th scope="row"><h4 class="h-h6">GPU Architecture</h4></th><td class="h-colorGrey">NVIDIA Ada Lovelace Architecture</td></tr><tr><th scope="row"><h4 class="h-h6">GPU Memory</h4></th><td class="h-colorGrey">48GB GDDR6 with ECC</td></tr><tr><th scope="row"><h4 class="h-h6">Memory Bandwidth</h4></th><td class="h-colorGrey">864 GB/s</td></tr><tr><th scope="row"><h4 class="h-h6">CUDA<sup>®</sup> Cores</h4></th><td class="h-colorGrey">18,176</td></tr><tr><th scope="row"><h4 class="h-h6">RT Cores</h4></th><td class="h-colorGrey">142</td></tr><tr><th scope="row"><h4 class="h-h6">Tensor Cores</h4></th><td class="h-colorGrey">568</td></tr><tr><th scope="row"><h4 class="h-h6">RT Core Performance</h4></th><td class="h-colorGrey">212 TFLOPS</td></tr><tr><th scope="row"><h4 class="h-h6">FP32</h4></th><td class="h-colorGrey">91.6 TFLOPS</td></tr><tr><th scope="row"><h4 class="h-h6">TF32 Tensor Core</h4></th><td class="h-colorGrey">366 TFLOPS</td></tr><tr><th scope="row"><h4 class="h-h6">BFLOAT16 Tensor Core</h4></th><td class="h-colorGrey">366 I 733<sup>2</sup> TFLOPS</td></tr><tr><th scope="row"><h4 class="h-h6">FP16 Tensor Core</h4></th><td class="h-colorGrey">366 I 733<sup>2</sup> TFLOPS</td></tr><tr><th scope="row"><h4 class="h-h6">FP8 Tensor Core</h4></th><td class="h-colorGrey">733 I 1466<sup>2</sup> TFLOPS</td></tr><tr><th scope="row"><h4 class="h-h6">Peak INT8 Tensor</h4></th><td class="h-colorGrey">733 I 1466<sup>2</sup> TOPS</td></tr><tr><th scope="row"><h4 class="h-h6">Peak INT4 Tensor</h4></th><td class="h-colorGrey">733 I 1466<sup>2</sup> TOPS</td></tr><tr><th scope="row"><h4 class="h-h6">Form Factor</h4></th><td class="h-colorGrey">4.4" (H) x 10.5" (L), dual slot</td></tr><tr><th scope="row"><h4 class="h-h6">Display Ports</h4></th><td class="h-colorGrey">4 x DisplayPort 1.4a</td></tr><tr><th scope="row"><h4 class="h-h6">Max Power Consumption</h4></th><td class="h-colorGrey">350W</td></tr><tr><th scope="row"><h4 class="h-h6">Power Connector</h4></th><td class="h-colorGrey">16-pin</td></tr><tr><th scope="row"><h4 class="h-h6">Thermal</h4></th><td class="h-colorGrey">Passive</td></tr><tr><th scope="row"><h4 class="h-h6">Virtual GPU (vGPU) Software Support</h4></th><td class="h-colorGrey">Yes</td></tr><tr><th scope="row"><h4 class="h-h6">NVENC I NVDEC</h4></th><td class="h-colorGrey">3x l 3x (Includes AV1 Encode and Decode)</td></tr><tr><th scope="row"><h4 class="h-h6">Secure Boot with Root of Trust</h4></th><td class="h-colorGrey">Yes</td></tr><tr><th scope="row"><h4 class="h-h6">NEBS Ready</h4></th><td class="h-colorGrey">Level 3</td></tr><tr><th scope="row"><h4 class="h-h6">MIG Support</h4></th><td class="h-colorGrey">No</td></tr></tbody></table>
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		<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/nvidia-l40s-48gb-datacenter-gpu-900-2g133-0080-000/">Nvidia L40S 48GB Datacenter GPU | 900-2G133-0080-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>NVIDIA H100 NVL PCIE 94 GB HBM3 &#124; 900-21010-0020-000</title>
		<link>https://gtmteknoloji.com/b2b/magaza/ekran-karti/veri-merkezi-gpu-kartlari/nvidia-h100-nvl-pcie-94-gb-hbm3-900-21010-0020-000/</link>
		
		<dc:creator><![CDATA[Serkan]]></dc:creator>
		<pubDate>Fri, 12 Dec 2025 12:44:04 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=11313</guid>

					<description><![CDATA[<h2 data-path-to-node="0">NVIDIA H100 NVL PCIe: Büyük Yapay Zeka Modelleri için Nesil Atılımı</h2>
<p data-path-to-node="1"><b>NVIDIA H100 NVL PCIe 94 GB HBM3 (900-21010-0020-000)</b>, NVIDIA'nın çığır açan <b>Hopper™</b> mimarisi üzerine inşa edilmiş, özellikle <b>Büyük Dil Modeli (LLM) çıkarım (inference)</b> ve ölçeklenebilir Yapay Zeka (AI) iş yüklerinin gerektirdiği zorlu talepleri karşılamak üzere tasarlanmış bir veri merkezi hızlandırıcısıdır. Tek bir kartta yer alan 94 GB HBM3 bellek ve 3.9 TB/s bellek bant genişliği sayesinde bu kart, GPT-3 175B gibi karmaşık ve büyük modellerin çıkarımını önceki nesil A100 GPU'lara kıyasla 12 kata kadar daha hızlı gerçekleştirerek yapay zekada verimlilikte radikal bir artış sağlar. PCIe 5.0 arayüzü ile yüksek hızlı sunuculara entegre edilebilen H100 NVL, aynı zamanda yüksek kapasiteli bellek gerektiren Üretken Yapay Zeka (Generative AI) uygulamaları ve Yüksek Performanslı Hesaplama (HPC) görevleri için ideal bir çözüm olarak öne çıkmaktadır.</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/veri-merkezi-gpu-kartlari/nvidia-h100-nvl-pcie-94-gb-hbm3-900-21010-0020-000/">NVIDIA H100 NVL PCIE 94 GB HBM3 | 900-21010-0020-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></description>
										<content:encoded><![CDATA[<div style="font-family: Arial, sans-serif; line-height: 1.8; color: #333;">
<h2><img decoding="async" class="aligncenter wp-image-11314" src="https://gtmteknoloji.com/b2b/wp-content/uploads/2025/12/NVIDIA-H100-NVL-PCIE-94-GB-HBM3-300x300.png" alt="" width="553" height="553" srcset="https://gtmteknoloji.com/b2b/wp-content/uploads/2025/12/NVIDIA-H100-NVL-PCIE-94-GB-HBM3-300x300.png 300w, https://gtmteknoloji.com/b2b/wp-content/uploads/2025/12/NVIDIA-H100-NVL-PCIE-94-GB-HBM3-150x150.png 150w, https://gtmteknoloji.com/b2b/wp-content/uploads/2025/12/NVIDIA-H100-NVL-PCIE-94-GB-HBM3-768x768.png 768w, https://gtmteknoloji.com/b2b/wp-content/uploads/2025/12/NVIDIA-H100-NVL-PCIE-94-GB-HBM3-600x600.png 600w, https://gtmteknoloji.com/b2b/wp-content/uploads/2025/12/NVIDIA-H100-NVL-PCIE-94-GB-HBM3.png 800w" sizes="(max-width: 553px) 100vw, 553px" /></h2>
<h2></h2>
<h2 style="color: #76b900; font-size: 32px; font-weight: bold; margin: 30px 0 20px 0; text-transform: uppercase; letter-spacing: 1px; border-bottom: 3px solid #76B900; padding-bottom: 10px;">NVIDIA H100 NVL PCIe 94 GB HBM3 | Yapay Zeka Çıkarımında Yeni Nesil | SKU: 900-21010-0020-000</h2>
<p style="font-size: 16px; margin-bottom: 20px; text-align: justify;">Büyük Dil Modellerini (LLM) ve en zorlu Yapay Zeka iş yüklerini hızlandırmak için özel olarak tasarlanmıştır. Hopper™ mimarisinin gücü ve tek kartta sunulan 94 GB HBM3 belleğin benzersiz kapasitesi ile çıkarım (inference) performansında devrim yaratın. NVIDIA H100 NVL, akıcı ve yüksek verimli üretken yapay zeka deneyimleri sunar.</p>
</div>
<h2 style="color: #76b900; font-size: 32px; font-weight: bold; margin: 30px 0 20px 0; text-transform: uppercase; letter-spacing: 1px; border-bottom: 3px solid #76B900; padding-bottom: 10px;">Neden H100 NVL&#8217;yi Seçmelisiniz?</h2>
<p>NVIDIA H100 NVL, özellikle artan bellek ve hesaplama taleplerine sahip Üretken Yapay Zeka (Generative AI) uygulamaları için tasarlanmıştır. Geleneksel A100 GPU&#8217;ların belleğinin yetersiz kaldığı durumlarda H100 NVL, tek bir kartta sunduğu 94 GB HBM3 ile kritik bir avantaj sağlar.</p>
<p>Büyük Dil Modelleri İçin Optimize Edildi: GPT-3, Megatron-Turing ve diğer büyük ölçekli dil modellerinin çıkarım aşamasını (inference) hızlandırmak için benzersiz bir çözüm sunar.</p>
<p>Ölçeklenebilir Bellek Havuzu: İki H100 NVL kartı bir NVLink köprüsü aracılığıyla bağlanarak 188 GB birleşik bellek kapasitesi oluşturabilir. Bu, bugün mevcut olan en büyük ticari modellerin bile tek bir mantıksal aygıt olarak çalıştırılmasına olanak tanır.</p>
<p>PCIe Esnekliği: Sunucu ortamınızdaki esneklik ve hızlı dağıtım için standart PCIe yuvalarını kullanır.</p>
<div style="font-family: Arial, sans-serif; line-height: 1.8; color: #333;">
<h3 style="color: #76b900; font-size: 24px; font-weight: bold; margin: 40px 0 20px 0; text-transform: uppercase;">TEKNİK ÖZELLİKLER</h3>
<table dir="ltr" style="height: 899px;" border="1" width="1386" cellspacing="0" cellpadding="0" data-sheets-root="1" data-sheets-baot="1">
<colgroup>
<col width="100" />
<col width="173" />
<col width="351" /></colgroup>
<tbody>
<tr>
<td><strong>Kategori</strong></td>
<td><strong>Özellik</strong></td>
<td><strong>Detay / Değer</strong></td>
</tr>
<tr>
<td>Genel Bilgiler</td>
<td>Ürün Kodu (SKU)</td>
<td>900-21010-0020-000</td>
</tr>
<tr>
<td></td>
<td>GPU Adı</td>
<td>GH100 (Hopper Mimarisi)</td>
</tr>
<tr>
<td></td>
<td>Form Faktörü</td>
<td>PCIe Çift Genişlikli Kart (Passive Cooling)</td>
</tr>
<tr>
<td></td>
<td>NVLink Desteği</td>
<td>Var (Çift Kart Konfigürasyonu için &#8211; 600 GB/s)</td>
</tr>
<tr>
<td>Bellek Özellikleri</td>
<td>Bellek Tipi</td>
<td>HBM3</td>
</tr>
<tr>
<td></td>
<td>Bellek Kapasitesi</td>
<td>94 GB (Tek Kart) / 188 GB (Çift NVLink Bağlantılı Kart)</td>
</tr>
<tr>
<td></td>
<td>Bellek Arayüzü</td>
<td>5120-bit</td>
</tr>
<tr>
<td></td>
<td>Bellek Bant Genişliği</td>
<td>3.9 TB/s (Tek Kart)</td>
</tr>
<tr>
<td>Arayüz ve Bağlantı</td>
<td>Veri Yolu</td>
<td>PCI Express Gen5 x16</td>
</tr>
<tr>
<td></td>
<td>PCIe Bant Genişliği</td>
<td>128 GB/s (Çift Yönlü)</td>
</tr>
<tr>
<td></td>
<td>NVLink Bant Genişliği</td>
<td>600 GB/s (Çift Yönlü, kartlar arası)</td>
</tr>
<tr>
<td>İşlem Birimleri</td>
<td>CUDA Çekirdekleri</td>
<td>18176 (Tahmini)</td>
</tr>
<tr>
<td></td>
<td>Tensor Çekirdekleri</td>
<td>568 (Tahmini) &#8211; Dördüncü Nesil</td>
</tr>
<tr>
<td>Performans (Peak Teklif Edilen)</td>
<td>FP64 Hassasiyeti (Yoğun)</td>
<td>~34 TFLOPS</td>
</tr>
<tr>
<td></td>
<td>FP64 Tensor Hassasiyeti</td>
<td>~67 TFLOPS</td>
</tr>
<tr>
<td></td>
<td>FP32 Hassasiyeti</td>
<td>~67 TFLOPS</td>
</tr>
<tr>
<td></td>
<td>FP16 Hassasiyeti</td>
<td>~1980 TFLOPS (Sparse)</td>
</tr>
<tr>
<td></td>
<td>TF32 Hassasiyeti</td>
<td>~989 TFLOPS (Sparse)</td>
</tr>
<tr>
<td></td>
<td>INT8 Hassasiyeti</td>
<td>~3958 TOPS (Sparse)</td>
</tr>
<tr>
<td>Termal ve Güç</td>
<td>Termal Tasarım Gücü (TDP)</td>
<td>350W &#8211; 400W aralığında (Sunucu konfigürasyonuna bağlı)</td>
</tr>
<tr>
<td></td>
<td>Soğutma</td>
<td>Pasif (Harici hava akışı gerektirir)</td>
</tr>
</tbody>
</table>
<p><b>Not:</b> NVIDIA, GPU özelliklerini sürekli olarak güncelleyebilir. Verilen TFLOPS/TOPS değerleri, genellikle Boost Saat Hızlarında ve Sparse (seyrek) matris hesaplamaları etkinleştirildiğinde elde edilen teorik maksimum değerlerdir.</p>
<p>Detaylı güç tüketimi ve performans verileri, kullanılan sunucu modeline ve iş yüküne göre farklılık gösterebilir.</p>
</div>
<p>&nbsp;</p>
<p>&nbsp;</p>
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     NVIDIA H100 NVL PCIe 94GB — SSS + SCHEMA + CTA
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<h2 style="color: #0F1E2E; font-size: 24px; font-weight: 700; margin: 0 0 24px 0; padding-bottom: 12px; border-bottom: 3px solid #003A70;">
    Sık Sorulan Sorular<br />
  </h2>
<p>  <!-- SSS Item --></p>
<div style="border: 1px solid #e2e8f0; border-radius: 8px; margin-bottom: 10px; overflow: hidden;">
<details>
<summary style="background: #f8fafc; padding: 16px 20px; cursor: pointer; font-weight: 600; font-size: 15px; color: #0F1E2E; list-style: none; display: flex; justify-content: space-between; align-items: center;">
        NVIDIA H100 NVL 94GB HBM3 PCIe nedir?<br />
        <span style="color: #003A70; font-size: 20px; line-height: 1;">+</span><br />
      </summary>
<div style="padding: 16px 20px; color: #475569; font-size: 14px; line-height: 1.7; border-top: 1px solid #e2e8f0;">
        NVIDIA Hopper mimarisi üzerine kurulu, <strong>94GB HBM3 bellek</strong> ve <strong>3.938TB/s bellek bant genişliğiyle</strong> büyük dil modelleri (LLM), derin öğrenme eğitimi ve HPC iş yüklerini hızlandıran kurumsal sınıf PCIe GPU hızlandırıcısıdır. NVLink Bridge ile 2 kart birleştirildiğinde <strong>188GB birleşik HBM3 bellek</strong> kapasitesine ulaşılır; GPT-175B gibi dev modeller tek node üzerinde rahatlıkla çalıştırılabilir.
      </div>
</details></div>
<div style="border: 1px solid #e2e8f0; border-radius: 8px; margin-bottom: 10px; overflow: hidden;">
<details>
<summary style="background: #f8fafc; padding: 16px 20px; cursor: pointer; font-weight: 600; font-size: 15px; color: #0F1E2E; list-style: none; display: flex; justify-content: space-between; align-items: center;">
        H100 NVL ile standart H100 PCIe 80GB arasındaki fark nedir?<br />
        <span style="color: #003A70; font-size: 20px; line-height: 1;">+</span><br />
      </summary>
<div style="padding: 16px 20px; color: #475569; font-size: 14px; line-height: 1.7; border-top: 1px solid #e2e8f0;">
        H100 NVL 94GB, standart H100 PCIe 80GB&#8217;a kıyasla daha fazla HBM3 bellek, daha geniş <strong>6016-bit bellek arayüzü</strong> ve <strong>NVLink Bridge desteği</strong> sunar. İki H100 NVL kart NVLink Bridge ile bağlandığında 188GB birleşik bellek ve 600GB/s GPU-GPU bant genişliği sağlanır — bu özellik 70B+ parametreli LLM iş yükleri için kritik avantajdır. Standart H100 PCIe ise yalnızca 80GB ve PCIe üzerinden GPU iletişimiyle çalışır.
      </div>
</details></div>
<div style="border: 1px solid #e2e8f0; border-radius: 8px; margin-bottom: 10px; overflow: hidden;">
<details>
<summary style="background: #f8fafc; padding: 16px 20px; cursor: pointer; font-weight: 600; font-size: 15px; color: #0F1E2E; list-style: none; display: flex; justify-content: space-between; align-items: center;">
        NVIDIA H100 NVL PCIe hangi iş yükleri için uygundur?<br />
        <span style="color: #003A70; font-size: 20px; line-height: 1;">+</span><br />
      </summary>
<div style="padding: 16px 20px; color: #475569; font-size: 14px; line-height: 1.7; border-top: 1px solid #e2e8f0;">
        175 milyar parametreye kadar büyük dil modeli eğitimi ve inference, generative AI, derin öğrenme, bilimsel simülasyon, finansal analiz ve multi-tenant GPU ortamları (MIG — <strong>7 örneğe kadar bölümleme</strong>) başlıca kullanım alanlarıdır. DGX A100 sistemlerine kıyasla GPT-175B model performansında <strong>12 kata kadar</strong> artış sağlar.
      </div>
</details></div>
<div style="border: 1px solid #e2e8f0; border-radius: 8px; margin-bottom: 10px; overflow: hidden;">
<details>
<summary style="background: #f8fafc; padding: 16px 20px; cursor: pointer; font-weight: 600; font-size: 15px; color: #0F1E2E; list-style: none; display: flex; justify-content: space-between; align-items: center;">
        H100 NVL 94GB ile H200 NVL 141GB arasında hangisini seçmeliyim?<br />
        <span style="color: #003A70; font-size: 20px; line-height: 1;">+</span><br />
      </summary>
<div style="padding: 16px 20px; color: #475569; font-size: 14px; line-height: 1.7; border-top: 1px solid #e2e8f0;">
        <strong>H100 NVL</strong> — 94GB HBM3 ve 3.9TB/s bant genişliğiyle LLM eğitimi ve inference için güçlü ve maliyet dengeli seçenektir. <strong>H200 NVL</strong> ise 141GB HBM3e ve 4.8TB/s bant genişliğiyle H100&#8217;e kıyasla LLM inference&#8217;da 1.7x daha yüksek performans sunar. Model boyutunuz 70B parametrenin üzerindeyse ve bellek kapasitesi önceliğinizse H200 NVL önerilir. GTM Teknoloji teknik ekibi iş yükünüze özel karşılaştırmalı analiz sunmaktadır.
      </div>
</details></div>
<div style="border: 1px solid #e2e8f0; border-radius: 8px; margin-bottom: 10px; overflow: hidden;">
<details>
<summary style="background: #f8fafc; padding: 16px 20px; cursor: pointer; font-weight: 600; font-size: 15px; color: #0F1E2E; list-style: none; display: flex; justify-content: space-between; align-items: center;">
        NVIDIA H100 NVL 94GB Türkiye&#8217;de nereden temin edilir?<br />
        <span style="color: #003A70; font-size: 20px; line-height: 1;">+</span><br />
      </summary>
<div style="padding: 16px 20px; color: #475569; font-size: 14px; line-height: 1.7; border-top: 1px solid #e2e8f0;">
        <strong>GTM Teknoloji</strong>, NVIDIA NPN yetkili iş ortağı olarak H100 NVL GPU&#8217;yu Türkiye&#8217;de resmi kanal üzerinden tedarik etmektedir. Sunucu uyumluluk kontrolü, NVLink yapılandırma danışmanlığı ve kurulum desteğiyle birlikte teklif almak için aşağıdaki formu kullanabilirsiniz.
      </div>
</details></div>
</div>
<p><!-- CTA BÖLÜMÜ --></p>
<div style="background: linear-gradient(135deg, #06001a 0%, #1a0033 40%, #003A70 100%); border-radius: 12px; padding: 48px 40px; text-align: center; margin: 40px 0; position: relative; overflow: hidden; font-family: 'DM Sans', Arial, sans-serif;">
<div style="position: absolute; top: -80px; left: 50%; transform: translateX(-50%); width: 300px; height: 300px; background: radial-gradient(circle, rgba(100,60,220,0.15) 0%, transparent 70%); pointer-events: none;"></div>
<p style="color: #a78bfa; font-size: 12px; font-weight: 700; letter-spacing: 4px; text-transform: uppercase; margin: 0 0 12px 0; position: relative;">
    NVIDIA HOPPER MİMARİSİ · NPN YETKİLİ İŞ ORTAĞI
  </p>
<h3 style="color: #ffffff; font-size: 26px; font-weight: 700; margin: 0 0 12px 0; line-height: 1.3; position: relative;">
    NVIDIA H100 NVL ile LLM Altyapınızı<br />Hızlandırın<br />
  </h3>
<p style="color: #94a3b8; font-size: 15px; margin: 0 0 28px 0; max-width: 560px; margin-left: auto; margin-right: auto; line-height: 1.7; position: relative;">
    94GB HBM3 bellek ve NVLink Bridge desteğiyle GPT ölçekli modelleri mevcut sunucu altyapınızda çalıştırın. GTM Teknoloji&#8217;nin uzman ekibi sunucu uyumluluğu ve NVLink yapılandırması konusunda yanınızda.
  </p>
<p>  <!-- Metrik kartları --></p>
<div style="display: flex; gap: 12px; justify-content: center; margin: 0 0 28px 0; flex-wrap: wrap; position: relative;">
<div style="background: rgba(167,139,250,0.08); border: 1px solid rgba(167,139,250,0.2); border-radius: 8px; padding: 12px 20px; text-align: center; min-width: 110px;">
<div style="color: #a78bfa; font-size: 20px; font-weight: 800; line-height: 1;">94GB</div>
<div style="color: #94a3b8; font-size: 11px; margin-top: 4px;">HBM3 Bellek</div>
</p></div>
<div style="background: rgba(167,139,250,0.08); border: 1px solid rgba(167,139,250,0.2); border-radius: 8px; padding: 12px 20px; text-align: center; min-width: 110px;">
<div style="color: #a78bfa; font-size: 20px; font-weight: 800; line-height: 1;">3.9TB/s</div>
<div style="color: #94a3b8; font-size: 11px; margin-top: 4px;">Bellek Bant Genişliği</div>
</p></div>
<div style="background: rgba(167,139,250,0.08); border: 1px solid rgba(167,139,250,0.2); border-radius: 8px; padding: 12px 20px; text-align: center; min-width: 110px;">
<div style="color: #a78bfa; font-size: 20px; font-weight: 800; line-height: 1;">188GB</div>
<div style="color: #94a3b8; font-size: 11px; margin-top: 4px;">2x NVLink Toplam</div>
</p></div>
<div style="background: rgba(167,139,250,0.08); border: 1px solid rgba(167,139,250,0.2); border-radius: 8px; padding: 12px 20px; text-align: center; min-width: 110px;">
<div style="color: #a78bfa; font-size: 20px; font-weight: 800; line-height: 1;">12x</div>
<div style="color: #94a3b8; font-size: 11px; margin-top: 4px;">A100&#8217;e Göre Hız</div>
</p></div>
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    <span style="color: #a78bfa; font-size: 12px; font-weight: 600;">✔ NVIDIA NPN Yetkili İş Ortağı</span><br />
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<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/veri-merkezi-gpu-kartlari/nvidia-h100-nvl-pcie-94-gb-hbm3-900-21010-0020-000/">NVIDIA H100 NVL PCIE 94 GB HBM3 | 900-21010-0020-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
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		<title>NVIDIA H200NVL NVLink 141GB HBM3e PCIe &#124; 900-21010-0040-000</title>
		<link>https://gtmteknoloji.com/b2b/magaza/ekran-karti/veri-merkezi-gpu-kartlari/nvidia-h200nvl-nvlink-141gb-hbm3e-pcie/</link>
		
		<dc:creator><![CDATA[Serkan]]></dc:creator>
		<pubDate>Fri, 14 Nov 2025 11:32:06 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=10402</guid>

					<description><![CDATA[<h3>NVIDIA H200 NVL: Generative AI ve LLM'ler İçin 564 GB Birleşik Bellek Gücü</h3>
<p data-path-to-node="4">NVIDIA H200 NVL, <b>Hopper™ Mimarisi</b> tabanlı, kurumsal veri merkezleri için tasarlanmış en yeni PCIe form faktörlü Tensor Core GPU'dur. Büyük Dil Modelleri (LLM) çıkarımında önceki nesile göre <b>1.7 kata kadar hız</b> sunarak, yapay zeka iş yüklerinizi rekor sürede tamamlayın. <b>141 GB ultra hızlı HBM3e bellek</b> ve 4.8 TB/s bant genişliği ile dünyanın en büyük modellerini kolayca çalıştırın. <b>4-yollu NVLink</b> desteği sayesinde, tek bir sunucuda <b>564 GB'a kadar birleşik (pooled) GPU belleği</b> oluşturarak performanstan ödün vermeden ölçeklenin. Hava soğutmalı tasarımı, mevcut kurumsal raflarınıza sorunsuz entegrasyon ve üstün enerji verimliliği sağlar. NVIDIA AI Enterprise yazılımı ile birlikte sunulan H200 NVL, yapay zekanın geleceğini bugünden yakalamak isteyen işletmeler için idealdir.</p>
<p data-path-to-node="4">
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/veri-merkezi-gpu-kartlari/nvidia-h200nvl-nvlink-141gb-hbm3e-pcie/">NVIDIA H200NVL NVLink 141GB HBM3e PCIe | 900-21010-0040-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
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				<h4 class="woodmart-title-container title wd-fontsize-xxxl">NVIDIA H200 NVL <br>Enterprise 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">Yapay zeka ve HPC iş yüklerini güçlendiriyoruz.</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-xxxl">Üretken Yapay Zeka ve HPC için GPU</h4> 
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					<p>NVIDIA H200 GPU, çığır açan performans ve bellek özellikleriyle üretken yapay zeka ve yüksek performanslı bilgi işlem (HPC) iş yüklerini güçlendirir. HBM3E teknolojisine sahip ilk GPU olan H200'ün daha büyük ve daha hızlı belleği, üretken yapay zeka ve büyük dil modellerinin (LLM) hızlanmasını sağlarken, HPC iş yükleri için bilimsel hesaplamayı da ilerletir.</p><ul><li><b>GPU Belleği (HBM3e): </b><b>141 GB HBM3e</b></li><li>NVLink Bağlantısı 2- veya 4-yollu yapılandırma, 900 GB/s çift yönlü bant genişliği (GPU başına)</li><li>2-yollu NVLink ile 282GB veya 4-yollu NVLink ile 564GB Birleşik HBM3e Bellek</li><li><b>Yazılım Desteği: </b><b>NVIDIA AI Enterprise</b> (5 yıl abonelik dahil) </li></ul>				</div>
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					<h2 class="elementor-heading-title elementor-size-default"><a href="https://gtmteknoloji.com/gtm-teknoloji-teklif-talep-formu/" target="_blank">GTM Teknoloji, Nvidia Türkiye NPN Partneridir. Nvidia Education ve Nvidia Inception indirim programları için talepte bulunabilirsiniz.</a></h2>				</div>
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					<h2 class="elementor-heading-title elementor-size-default">H200 NVL ile Ana Akım Kurumsal Sunucular için Yapay Zekayı Hızlandırma</h2>				</div>
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			<div style="text-align: left;"><span style="background-color: transparent;">NVIDIA Hopper™ mimarisine dayanan NVIDIA H200, saniyede 4,8 terabayt (TB/sn) hızında 141 gigabayt (GB) HBM3e bellek sunan ilk GPU'dur; bu, NVIDIA H100 GPU'nun kapasitesinin neredeyse iki katı ve 1,4 kat daha fazla bellek bant genişliği anlamına gelir. H200'ün daha büyük ve daha hızlı belleği, üretken yapay zeka ve LLM'leri hızlandırırken, daha iyi enerji verimliliği ve daha düşük toplam sahip olma maliyetiyle HPC iş yükleri için bilimsel bilgi işlemi ilerletir.</span></div>
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					<h2 class="elementor-heading-title elementor-size-default">Daha Büyük, Daha Hızlı Bellekle Daha Yüksek Performans</h2>				</div>
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			<p style="text-align: left;">NVIDIA H200 NVL, esnek yapılandırmalar gerektiren düşük güç tüketimli, hava soğutmalı kurumsal raf tasarımları için idealdir ve boyutu ne olursa olsun her türlü yapay zeka ve HPC iş yükü için hızlanma sağlar. NVIDIA NVLink™ ile bağlanan dört adede kadar GPU ve 1,5 kat bellek artışıyla, büyük dil modeli (LLM) çıkarımı 1,7 kata kadar hızlandırılabilir ve HPC uygulamaları H100 NVL'ye göre 1,3 kata kadar daha fazla performans elde eder.</p>
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					<h2 class="elementor-heading-title elementor-size-default">Üst Düzey Performans Deneyimi Yaşayın<span style="background-color: transparent;font-family: Roboto, sans-serif;font-size: 24px;font-style: normal;font-weight: 600"></span></h2>				</div>
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			<table dir="ltr" border="1" cellspacing="0" cellpadding="0" data-sheets-root="1" data-sheets-baot="1"><colgroup><col width="241" /><col width="284" /><col width="284" /></colgroup><tbody><tr><td> </td><td><span style="color: #ff0000;">H200 SXM¹</span></td><td><span style="color: #ff0000;">H200 NVL¹</span></td></tr><tr><td>FP64</td><td>34 TFLOPS</td><td>30 TFLOPS</td></tr><tr><td>FP64 Tensor Core</td><td>67 TFLOPS</td><td>60 TFLOPS</td></tr><tr><td>FP32</td><td>67 TFLOPS</td><td>60 TFLOPS</td></tr><tr><td>TF32 Tensor Core²</td><td>989 TFLOPS</td><td>835 TFLOPS</td></tr><tr><td>BFLOAT16 Tensor Core²</td><td>1,979 TFLOPS</td><td>1,671 TFLOPS</td></tr><tr><td>FP16 Tensor Core²</td><td>1,979 TFLOPS</td><td>1,671 TFLOPS</td></tr><tr><td>FP8 Tensor Core²</td><td>3,958 TFLOPS</td><td>3,341 TFLOPS</td></tr><tr><td>INT8 Tensor Core²</td><td>3,958 TFLOPS</td><td>3,341 TFLOPS</td></tr><tr><td>GPU Memory</td><td>141GB</td><td>141GB</td></tr><tr><td>GPU Memory Bandwidth</td><td>4.8TB/s</td><td>4.8TB/s</td></tr><tr><td>Decoders</td><td>7 NVDEC<br />7 JPEG</td><td>7 NVDEC<br />7 JPEG</td></tr><tr><td>Confidential Computing</td><td>Supported</td><td>Supported</td></tr><tr><td>Max Thermal Design Power (TDP)</td><td>Up to 700W (configurable)</td><td>Up to 600W (configurable)</td></tr><tr><td>Multi-Instance GPUs</td><td>Up to 7 MIGs @18GB each</td><td>Up to 7 MIGs @16.5GB each</td></tr><tr><td>Form Factor</td><td>SXM</td><td>PCIe<br />Dual-slot air-cooled</td></tr><tr><td>Interconnect</td><td>NVIDIA NVLink™: 900GB/s<br />PCIe Gen5: 128GB/s</td><td>2- or 4-way NVIDIA NVLink bridge:<br />900GB/s per GPU<br />PCIe Gen5: 128GB/s</td></tr><tr><td>Server Options</td><td>NVIDIA HGX™ H200 partner and NVIDIA-Certified Systems™ with 4 or 8 GPUs</td><td>NVIDIA MGX™ H200 NVL partner and NVIDIA-Certified Systems with up to 8 GPUs</td></tr><tr><td>NVIDIA AI Enterprise</td><td>Add-on</td><td>Included</td></tr></tbody></table>
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					<h2 class="elementor-heading-title elementor-size-default">Kurumsal Düzeyde Hazır Çözüm: <br>Yapay Zeka Yazılımı Geliştirme ve Dağıtımını Kolaylaştırıyor</h2>				</div>
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			<p><span style="color: #ffffff;">NVIDIA H200 NVL, beş yıllık NVIDIA Enterprise aboneliğiyle birlikte gelir. Bu abonelik, kurumsal yapay zekaya hazır bir platform oluşturma şeklinizi basitleştirmek için NVIDIA AI Enterprise'ı içerir. H200, bilgisayarlı görme, konuşma yapay zekası, geri alma artırılmış üretim (RAG) ve daha fazlası dahil olmak üzere üretime hazır üretken yapay zeka çözümleri için yapay zeka geliştirme ve dağıtımını hızlandırır. NVIDIA AI Enterprise, kurumsal üretken yapay zeka dağıtımını hızlandırmak için tasarlanmış, kullanımı kolay bir mikro hizmet seti olan NVIDIA NIM ™'i içerir. Dağıtımlar, kurumsal düzeyde güvenlik, yönetilebilirlik, kararlılık ve destek sunar. Bu da daha hızlı iş değeri ve eyleme geçirilebilir içgörüler sunan, performans açısından optimize edilmiş yapay zeka çözümleriyle sonuçlanır.</span></p>
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					<h2 class="elementor-heading-title elementor-size-default">SIKÇA SORULAN SORULAR</h2>				</div>
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												<a class="elementor-accordion-title" tabindex="0">NVIDIA H200 NVL 141GB HBM3e PCIe nedir?</a>
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					<div id="elementor-tab-content-1001" class="elementor-tab-content elementor-clearfix" data-tab="1" role="region" aria-labelledby="elementor-tab-title-1001"><p>NVIDIA Hopper mimarisi üzerine kurulu, 141GB HBM3e bellek ve 4.8TB/s bellek bant genişliğiyle — H100&#8217;ün neredeyse iki katı kapasiteyle <span class="inline-flex" data-state="closed"><a class="group/tag relative h-[18px] rounded-full inline-flex items-center overflow-hidden -translate-y-px cursor-pointer" href="https://www.nvidia.com/en-us/data-center/h200/" target="_blank" rel="noopener"><span class="relative transition-colors h-full max-w-[180px] overflow-hidden px-1.5 inline-flex items-center font-small rounded-full border-0.5 border-border-300 bg-bg-200 group-hover/tag:bg-accent-900 group-hover/tag:border-accent-100/60"><span class="text-nowrap text-text-300 break-all truncate font-normal group-hover/tag:text-text-200">NVIDIA</span></span></a></span> üretilmiş veri merkezi GPU hızlandırıcısıdır. PCIe Gen 5.0 x16 arayüzü, pasif soğutma ve 2 veya 4 yönlü NVLink Bridge (900GB/s) desteğiyle mevcut sunucu altyapısına kolayca entegre edilebilen kurumsal AI ve HPC kartıdır.</p></div>
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												<a class="elementor-accordion-title" tabindex="0">NVIDIA H200 NVL ile H100 arasındaki fark nedir?</a>
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					<div id="elementor-tab-content-1002" class="elementor-tab-content elementor-clearfix" data-tab="2" role="region" aria-labelledby="elementor-tab-title-1002"><p>H200, H100&#8217;e kıyasla 141GB HBM3e bellek ile yaklaşık iki kat daha fazla GPU belleği ve 1.4 kat daha yüksek bellek bant genişliği sunar. Llama 2 70B gibi büyük dil modellerinde inference performansı H100&#8217;e kıyasla 1.7 kat, HPC iş yüklerinde ise 1.3 kat daha yüksektir.</p></div>
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					<h3 id="elementor-tab-title-1003" class="elementor-tab-title" data-tab="3" role="button" aria-controls="elementor-tab-content-1003" aria-expanded="false">
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												<a class="elementor-accordion-title" tabindex="0">H200 NVL PCIe mevcut H100 veya A100 sunucularımda çalışır mı?</a>
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					<div id="elementor-tab-content-1003" class="elementor-tab-content elementor-clearfix" data-tab="3" role="region" aria-labelledby="elementor-tab-title-1003"><p>H200 NVL PCIe, H100 ile aynı Hopper mimarisini ve CUDA stack&#8217;ini paylaşır — yazılım uyumluluğu sorun çıkarmaz. Ancak fiziksel olarak mevcut sunucunuza takılıp takılamayacağı sunucunun PCIe slot sayısı, güç kapasitesi (700W TDP) ve pasif soğutma için yeterli hava akışı olup olmadığına bağlıdır. GTM Teknoloji olarak mevcut altyapınızın H200 NVL ile uyumluluğunu değerlendirmenize teknik danışmanlık hizmeti sunuyoruz.</p></div>
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												<a class="elementor-accordion-title" tabindex="0">NVIDIA H200 NVL hangi iş yükleri için uygundur?</a>
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					<div id="elementor-tab-content-1004" class="elementor-tab-content elementor-clearfix" data-tab="4" role="region" aria-labelledby="elementor-tab-title-1004"><p>Düşük güç tüketimli hava soğutmalı kurumsal rack tasarımları için ideal olan H200 NVL, her ölçekteki AI ve HPC iş yüklerini hızlandırır.  LLM eğitimi ve fine-tuning, büyük ölçekli inference, bilimsel simülasyon, genomik araştırma, finansal analiz ve iklim modellemesi başlıca kullanım alanlarıdır.</p></div>
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												<a class="elementor-accordion-title" tabindex="0">NVIDIA H200 NVL 141GB Türkiye'de nereden temin edilir?</a>
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					<div id="elementor-tab-content-1005" class="elementor-tab-content elementor-clearfix" data-tab="5" role="region" aria-labelledby="elementor-tab-title-1005"><p>GTM Teknoloji, NVIDIA NPN yetkili iş ortağı sıfatıyla H200 NVL kartını Türkiye&#8217;de resmi kanal üzerinden tedarik etmektedir. Teknik boyutlandırma, sunucu uyumluluk kontrolü ve kurulum danışmanlığıyla birlikte teklif almak için iletişim formunu kullanabilirsiniz.</p></div>
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				<div class="elementor-widget-container">
					<div style="background: linear-gradient(135deg, #06001a 0%, #1a0033 40%, #003A70 100%); border-radius: 12px; padding: 48px 40px; text-align: center; margin: 40px 0; position: relative; overflow: hidden;">

  <!-- Dekoratif ışık efekti -->
  <div style="position: absolute; top: -80px; left: 50%; transform: translateX(-50%); width: 300px; height: 300px; background: radial-gradient(circle, rgba(118,29,226,0.12) 0%, transparent 70%); pointer-events: none;"></div>

  <p style="color: #a78bfa; font-size: 12px; font-weight: 700; letter-spacing: 4px; text-transform: uppercase; margin: 0 0 12px 0; position: relative;">
    NVIDIA HOPPER MİMARİSİ · NPN YETKİLİ İŞ ORTAĞI
  </p>

  <h3 style="color: #ffffff; font-size: 26px; font-weight: 700; margin: 0 0 12px 0; line-height: 1.3; position: relative;">
    NVIDIA H200 NVL ile AI Altyapınızı<br>Bir Üst Seviyeye Taşıyın
  </h3>

  <p style="color: #94a3b8; font-size: 15px; margin: 0 0 28px 0; max-width: 560px; margin-left: auto; margin-right: auto; line-height: 1.7; position: relative;">
    141GB HBM3e ve 4.8TB/s bellek bant genişliğiyle mevcut H100 veya A100 altyapınızı yükseltmek ya da yeni AI sunucunuzu yapılandırmak için GTM Teknoloji uzman ekibiyle iletişime geçin.
  </p>

  <!-- Metrik kartları -->
  <div style="display: flex; gap: 12px; justify-content: center; margin: 0 0 28px 0; flex-wrap: wrap; position: relative;">
    <div style="background: rgba(167,139,250,0.08); border: 1px solid rgba(167,139,250,0.2); border-radius: 8px; padding: 12px 20px; text-align: center;">
      <div style="color: #a78bfa; font-size: 22px; font-weight: 800; line-height: 1;">141GB</div>
      <div style="color: #94a3b8; font-size: 11px; margin-top: 4px;">HBM3e Bellek</div>
    </div>
    <div style="background: rgba(167,139,250,0.08); border: 1px solid rgba(167,139,250,0.2); border-radius: 8px; padding: 12px 20px; text-align: center;">
      <div style="color: #a78bfa; font-size: 22px; font-weight: 800; line-height: 1;">4.8TB/s</div>
      <div style="color: #94a3b8; font-size: 11px; margin-top: 4px;">Bellek Bant Genişliği</div>
    </div>
    <div style="background: rgba(167,139,250,0.08); border: 1px solid rgba(167,139,250,0.2); border-radius: 8px; padding: 12px 20px; text-align: center;">
      <div style="color: #a78bfa; font-size: 22px; font-weight: 800; line-height: 1;">900GB/s</div>
      <div style="color: #94a3b8; font-size: 11px; margin-top: 4px;">NVLink Bant Genişliği</div>
    </div>
    <div style="background: rgba(167,139,250,0.08); border: 1px solid rgba(167,139,250,0.2); border-radius: 8px; padding: 12px 20px; text-align: center;">
      <div style="color: #a78bfa; font-size: 22px; font-weight: 800; line-height: 1;">1.7x</div>
      <div style="color: #94a3b8; font-size: 11px; margin-top: 4px;">H100'e Göre Hız</div>
    </div>
  </div>

  <div style="display: flex; gap: 16px; justify-content: center; flex-wrap: wrap; position: relative;">
    <a href="https://gtmteknoloji.com/gtm-teknoloji-teklif-talep-formu/"
       style="background: #D22630; color: #ffffff; padding: 15px 32px; border-radius: 8px; font-size: 15px; font-weight: 700; text-decoration: none; display: inline-block;">
      🔴 Fiyat Teklifi İste
    </a>
    <a href="tel:+902126394543"
       style="background: transparent; color: #ffffff; padding: 15px 32px; border-radius: 8px; font-size: 15px; font-weight: 700; text-decoration: none; display: inline-block; border: 2px solid rgba(255,255,255,0.2);">
      📞 +90 212 639 45 43
    </a>
  </div>

  <div style="display: flex; gap: 24px; justify-content: center; margin-top: 24px; flex-wrap: wrap; padding-top: 20px; border-top: 1px solid rgba(255,255,255,0.07); position: relative;">
    <span style="color: #a78bfa; font-size: 12px; font-weight: 600;">✔ NVIDIA NPN Yetkili İş Ortağı</span>
    <span style="color: #a78bfa; font-size: 12px; font-weight: 600;">✔ Supermicro Resmi Dist. 2009</span>
    <span style="color: #a78bfa; font-size: 12px; font-weight: 600;">✔ Uyumluluk Danışmanlığı</span>
    <span style="color: #a78bfa; font-size: 12px; font-weight: 600;">✔ Türkçe Teknik Destek</span>
  </div>

</div>				</div>
				</div>
					</div>
		</div>
					</div>
		</section>
				</div>
		<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/veri-merkezi-gpu-kartlari/nvidia-h200nvl-nvlink-141gb-hbm3e-pcie/">NVIDIA H200NVL NVLink 141GB HBM3e PCIe | 900-21010-0040-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></content:encoded>
					
		
		
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		<item>
		<title>NVIDIA RTX A400 4GB Profesyonel GPU &#124; 900-5G172-2260-000</title>
		<link>https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-a400-4gb-900-5g172-2260-000/</link>
		
		<dc:creator><![CDATA[Serkan]]></dc:creator>
		<pubDate>Thu, 13 Nov 2025 16:37:57 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=10397</guid>

					<description><![CDATA[<p>NVIDIA RTX A400 4GB &#124; Sonsuz olasılıklar için performans. NVIDIA Ampere GPU mimarisi üzerine kurulu NVIDIA RTX™ A400, yapay zeka</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-a400-4gb-900-5g172-2260-000/">NVIDIA RTX A400 4GB Profesyonel GPU | 900-5G172-2260-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></description>
										<content:encoded><![CDATA[<div style="font-family: Arial, sans-serif; line-height: 1.8; color: #333;">
<div style="text-align: center; margin-bottom: 30px;"><img decoding="async" style="max-width: 100%; height: auto; border-radius: 10px; box-shadow: 0 5px 20px rgba(0,0,0,0.2);" src="https://gtmteknoloji.com/b2b/wp-content/uploads/2025/11/04-NVIDIA-RTX-A1000-gtm-teknoloji.png" alt="Ürün Görseli" /></div>
<h2 style="color: #76b900; font-size: 32px; font-weight: bold; margin: 30px 0 20px 0; text-transform: uppercase; letter-spacing: 1px; border-bottom: 3px solid #76B900; padding-bottom: 10px;">NVIDIA RTX A400 4GB | Sonsuz olasılıklar için performans.</h2>
<p style="font-size: 16px; margin-bottom: 20px; text-align: justify;">NVIDIA Ampere GPU mimarisi üzerine kurulu NVIDIA RTX™ A400, yapay zeka ve ışın izleme hızlandırmasının gücünü daha fazla profesyonelin eline taşıyor. RTX A400, yapay zeka destekli iş akışlarının ve göz alıcı ışın izlemeli görsellerin, yerden tasarruf sağlayan bir tasarımda benzersiz bir performansla sunulmasını sağlıyor. Ayrıca, görsel ufkunuzu genişletmek için dört adede kadar yerel ekran bağlayabilirsiniz.</p>
<p style="font-size: 16px; margin-bottom: 30px; text-align: justify;">Kompakt form faktörüyle RTX A400, her türlü iş istasyonuna kolayca uyum sağlar ve verimlilik veya çalışma alanından ödün vermeden günümüzün profesyonel iş akışları için gerekli performansı ve yetenekleri sunar.</p>
<h3 style="color: #76b900; font-size: 24px; font-weight: bold; margin: 40px 0 20px 0; text-transform: uppercase;">TEKNİK ÖZELLİKLER</h3>
<table style="width: 100%; border-collapse: collapse; margin: 20px 0; background: #f9f9f9; border-radius: 8px; overflow: hidden; box-shadow: 0 3px 10px rgba(0,0,0,0.1);">
<tbody>
<tr style="background: #225dd3;">
<th style="padding: 15px; text-align: left; color: white; font-weight: bold; border-bottom: 2px solid #0e49bf;">ÖZELLİK</th>
<th style="padding: 15px; text-align: left; color: white; font-weight: bold; border-bottom: 2px solid #0e49bf;">DEĞER</th>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Parça Numarası</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">VCNRTXA400ATX-PB</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">CUDA Çekirdekleri</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">768</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Tensör Çekirdekleri</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">24</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">RT Çekirdekleri</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">6</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Tek Hassasiyetli Performans</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">2,7 TFLOP</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">RT Çekirdek Performansı</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">5.3 TFLOP</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Tensör Performansı</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">21,7 TFLOPS</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">GPU Belleği</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">4 GB GDDR6</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Bellek Arayüzü</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">64 bit</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Bellek Bant Genişliği</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">96 GB/sn</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Sistem Arayüzü</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">PCI Express 4.0 x8</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Ekran Bağlayıcıları</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">4× mDisplayPort 1.4a</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Maksimum Güç Tüketimi</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">50 W</td>
</tr>
</tbody>
</table>
</div>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-a400-4gb-900-5g172-2260-000/">NVIDIA RTX A400 4GB Profesyonel GPU | 900-5G172-2260-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>NVIDIA RTX A1000 8GB Profesyonel GPU &#124; 900-5G172-2280-000</title>
		<link>https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-a1000-8gb-900-5g172-2280-000/</link>
		
		<dc:creator><![CDATA[Serkan]]></dc:creator>
		<pubDate>Thu, 13 Nov 2025 16:14:32 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=10390</guid>

					<description><![CDATA[<p>NVIDIA RTX A1000 &#124; Sonsuz olasılıklar için performans Profesyoneller, performanstan ödün vermeden masaüstü iş istasyonlarının kapladığı alanı en aza indirmeye</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-a1000-8gb-900-5g172-2280-000/">NVIDIA RTX A1000 8GB Profesyonel GPU | 900-5G172-2280-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></description>
										<content:encoded><![CDATA[<div style="font-family: Arial, sans-serif; line-height: 1.8; color: #333;">
<div style="text-align: center; margin-bottom: 30px;"><img decoding="async" style="max-width: 100%; height: auto; border-radius: 10px; box-shadow: 0 5px 20px rgba(0,0,0,0.2);" src="https://gtmteknoloji.com/b2b/wp-content/uploads/2025/11/04-NVIDIA-RTX-A1000-gtm-teknoloji.png" alt="Ürün Görseli" /></div>
<h2 style="color: #76b900; font-size: 32px; font-weight: bold; margin: 30px 0 20px 0; text-transform: uppercase; letter-spacing: 1px; border-bottom: 3px solid #76B900; padding-bottom: 10px;">NVIDIA RTX A1000 | Sonsuz olasılıklar için performans</h2>
<p style="font-size: 16px; margin-bottom: 20px; text-align: justify;">Profesyoneller, performanstan ödün vermeden masaüstü iş istasyonlarının kapladığı alanı en aza indirmeye çalışırken, küçük form faktörlü bilgi işlem çözümleri giderek yaygınlaşıyor. Günümüzün profesyonel iş akışları, kompakt bir pakette tam boyutlu özellikler ve performans sunan küçük form faktörlü iş istasyonları gerektiriyor.</p>
<p style="font-size: 16px; margin-bottom: 30px; text-align: justify;">NVIDIA Ampere GPU mimarisi üzerine inşa edilen NVIDIA RTX™ A1000 GPU, zorlu profesyonel uygulamaların gerektirdiği performans ve yetenekleri sunan güçlü ve düşük profilli bir çözümdür. 2.304 CUDA® Çekirdeği , 18 RT Çekirdeği, 72 Tensor Çekirdeği, 8 GB GDDR6 bellek ve dört adede kadar 5K ekranı destekleme özelliğiyle NVIDIA RTX A1000, çalışmalarınızı bir üst seviyeye taşımaya hazır.</p>
<h3 style="color: #76b900; font-size: 24px; font-weight: bold; margin: 40px 0 20px 0; text-transform: uppercase;">TEKNİK ÖZELLİKLER</h3>
<table style="width: 100%; border-collapse: collapse; margin: 20px 0; background: #f9f9f9; border-radius: 8px; overflow: hidden; box-shadow: 0 3px 10px rgba(0,0,0,0.1);">
<tbody>
<tr style="background: #225dd3;">
<th style="padding: 15px; text-align: left; color: white; font-weight: bold; border-bottom: 2px solid #0e49bf;">ÖZELLİK</th>
<th style="padding: 15px; text-align: left; color: white; font-weight: bold; border-bottom: 2px solid #0e49bf;">DEĞER</th>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Parça Numarası</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">VCNRTXA1000ATX-PB</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">CUDA Çekirdekleri</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">2304</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Tensör Çekirdekleri</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">72</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">RT Çekirdekleri</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">18</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Tek Hassasiyetli Performans</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">6,74 TFLOP</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">RT Çekirdek Performansı</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">13.2 TFLOP</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Tensör Performansı</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">53,8 TFLOPS</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">GPU Belleği</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">8 GB GDDR6</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Bellek Arayüzü</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">128 bit</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Bellek Bant Genişliği</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">192 GB/sn</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Sistem Arayüzü</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">PCI Express 4.0 x8</td>
</tr>
<tr style="background: #f5f5f5;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Ekran Bağlayıcıları</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">4× mDisplayPort 1.4a</td>
</tr>
<tr style="background: #fff;">
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0; font-weight: 600;">Maksimum Güç Tüketimi</td>
<td style="padding: 12px 15px; border-bottom: 1px solid #e0e0e0;">50 W</td>
</tr>
</tbody>
</table>
</div>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-a1000-8gb-900-5g172-2280-000/">NVIDIA RTX A1000 8GB Profesyonel GPU | 900-5G172-2280-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>NVIDIA RTX PRO 2000 Blackwell PCIe 5 16GB &#124; 900-5G195-2250-000</title>
		<link>https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-2000-blackwell-pcie-5-16gb-pro-gpu-900-5g195-2250-000/</link>
		
		<dc:creator><![CDATA[Serkan]]></dc:creator>
		<pubDate>Thu, 13 Nov 2025 14:57:01 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=10364</guid>

					<description><![CDATA[<p>NVIDIA RTX PRO 2000 Blackwell SFF 16GB **NVIDIA RTX PRO™ 2000 GPU**, güç açısından verimli ve **kompakt (SFF) bir form</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-2000-blackwell-pcie-5-16gb-pro-gpu-900-5g195-2250-000/">NVIDIA RTX PRO 2000 Blackwell PCIe 5 16GB | 900-5G195-2250-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1>NVIDIA RTX PRO 2000 Blackwell SFF 16GB</h1>
<table class="product-table" dir="ltr" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td><img decoding="async" src="https://gtmteknoloji.com/b2b/wp-content/uploads/2025/11/RTX-PRO-4000-SFF-gtm-teknoloji-300x300.png" alt="NVIDIA RTX PRO 2000 Blackwell SFF Görseli" width="400" height="400" /></td>
<td>**NVIDIA RTX PRO™ 2000 GPU**, güç açısından verimli ve **kompakt (SFF) bir form faktöründe** çığır açan bir performans sunar. **16 GB ultra hızlı GDDR7 bellek** ile bu güçlü işlemci, benzersiz üretkenlik için karmaşık **yapay zeka destekli** çoklu uygulama ve grafik iş akışlarını hızlandırır. Sınırlı alana sahip profesyonel iş istasyonları için idealdir.</td>
</tr>
</tbody>
</table>
<div class="features-section">
<h2>Özellikler ve Teknik Detaylar</h2>
<ul class="spec-list">
<li><span class="spec-label">Mimari</span><br />
<span class="spec-value">NVIDIA Blackwell Mimarisi</span></li>
<li><span class="spec-label">Bellek</span><br />
<span class="spec-value">ECC&#8217;li 16 GB GDDR7</span></li>
<li><span class="spec-label">Tensor Çekirdekleri (5. Nesil)</span><br />
<span class="spec-value">136</span></li>
<li><span class="spec-label">RT Çekirdekleri (4. Nesil)</span><br />
<span class="spec-value">34</span></li>
<li><span class="spec-label">CUDA Paralel İşlem Çekirdekleri</span><br />
<span class="spec-value">4.352</span></li>
<li><span class="spec-label">Maksimum Güç Tüketimi</span><br />
<span class="spec-value">70 W</span></li>
<li><span class="spec-label">Form Faktörü</span><br />
<span class="spec-value">2,7&#8243; Y x 6,6&#8243; U, Çift Yuvalı SFF (Small Form Factor)</span></li>
<li><span class="spec-label">Soğutma</span><br />
<span class="spec-value">Aktif Fan</span></li>
</ul>
</div>
<p>&nbsp;</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-2000-blackwell-pcie-5-16gb-pro-gpu-900-5g195-2250-000/">NVIDIA RTX PRO 2000 Blackwell PCIe 5 16GB | 900-5G195-2250-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
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		<title>NVIDIA RTX PRO 4500 Blackwell PCIe 5 32GB &#124; 900-5G147-0050-000</title>
		<link>https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-4500-blackwell-pcie-5-32gb-900-5g147-0050-000/</link>
		
		<dc:creator><![CDATA[Serkan]]></dc:creator>
		<pubDate>Thu, 13 Nov 2025 14:18:07 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=10346</guid>

					<description><![CDATA[<p>&#160; NVIDIA RTX PRO 4500 Blackwell GPU **NVIDIA RTX PRO™ 4500 Blackwell Nesli**, çığır açan **yapay zeka hızlandırması**, sinirsel işleme</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-4500-blackwell-pcie-5-32gb-900-5g147-0050-000/">NVIDIA RTX PRO 4500 Blackwell PCIe 5 32GB | 900-5G147-0050-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>&nbsp;</p>
<table class="product-table" dir="ltr" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td>
<h1><span dir="auto">NVIDIA RTX PRO 4500 Blackwell GPU</span></h1>
<table class="product-table" dir="ltr" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td><img decoding="async" class="alignleft" src="https://gtmteknoloji.com/b2b/wp-content/uploads/2025/11/RTX-PRO-4500-Blackwell-gtm-teknoloji.png" alt="NVIDIA RTX PRO 4500 Blackwell GPU Görseli" width="500" height="500" /></td>
<td>**NVIDIA RTX PRO™ 4500 Blackwell Nesli**, çığır açan **yapay zeka hızlandırması**, sinirsel işleme ve **32 GB ultra hızlı bellek** ile yaratıcı, mühendislik ve bilimsel iş akışlarını güçlendiriyor. 5. Nesil Tensör Çekirdekleri, 4. Nesil RT Çekirdekleri ve Blackwell&#8217;in gelişmiş **CUDA mimarisiyle** donatılan bu işlemci, profesyonellerin öncü yapay zeka sistemlerine öncülük etmesini, fotogerçekçi fizik simülasyonları yapmasını ve sinematik 3B dünyalar oluşturmasını sağlıyor; tüm bunları yaparken de her zamankinden daha **büyük veri kümelerini** ve daha **karmaşık iş yüklerini** ele alıyor.</td>
</tr>
</tbody>
</table>
<div class="features-section">
<h3>Özellikler</h3>
<ul class="product-features">
<li>NVIDIA Blackwell Mimarisi</li>
<li>ECC&#8217;li 32 GB GDDR7</li>
<li>NVIDIA RTX PRO SYNC Uyumlu</li>
<li>4 x Ekran Bağlantı Noktası 2.1</li>
<li>10.496 CUDA Çekirdek</li>
<li>Maksimum Güç Tüketimi 200 W</li>
</ul>
<hr />
<h3>Teknik Detaylar</h3>
<div class="spec-rows">
<div class="spec-row"><span class="spec-label">CUDA Paralel İşlem Çekirdekleri</span><br />
<span class="spec-value">10.496</span></div>
<div class="spec-row"><span class="spec-label">NVIDIA Tensor Çekirdekleri (5. Nesil)</span><br />
<span class="spec-value">328</span></div>
<div class="spec-row"><span class="spec-label">NVIDIA RT Çekirdekleri (4. Nesil)</span><br />
<span class="spec-value">82</span></div>
<div class="spec-row"><span class="spec-label">GPU Belleği</span><br />
<span class="spec-value">ECC&#8217;li 32 GB GDDR7</span></div>
<div class="spec-row"><span class="spec-label">Form Faktörü</span><br />
<span class="spec-value">4,4” Y x 10,5” U, FHFL Çift Yuva</span></div>
</div>
</div>
</td>
<td></td>
</tr>
</tbody>
</table>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-4500-blackwell-pcie-5-32gb-900-5g147-0050-000/">NVIDIA RTX PRO 4500 Blackwell PCIe 5 32GB | 900-5G147-0050-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
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		<title>NVIDIA RTX PRO 4000 Blackwell PCIe 5 24GB &#124; 900-5G147-0070-000</title>
		<link>https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-4000-blackwell-pcie-5-24gb-900-5g147-0070-000/</link>
		
		<dc:creator><![CDATA[Serkan]]></dc:creator>
		<pubDate>Thu, 13 Nov 2025 14:03:24 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=10342</guid>

					<description><![CDATA[<p>NVIDIA RTX PRO 4000 Blackwell GPU Profesyoneller için en gelişmiş tek yuvalı GPU&#8217;nun gücünü deneyimleyin. NVIDIA Blackwell mimarisiyle güçlendirilen NVIDIA</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-4000-blackwell-pcie-5-24gb-900-5g147-0070-000/">NVIDIA RTX PRO 4000 Blackwell PCIe 5 24GB | 900-5G147-0070-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1><span dir="auto">NVIDIA RTX PRO 4000 Blackwell GPU</span></h1>
<p>Profesyoneller için en gelişmiş tek yuvalı GPU&#8217;nun gücünü deneyimleyin. NVIDIA Blackwell mimarisiyle güçlendirilen NVIDIA RTX PRO 4000, çığır açan yapay zeka performansı, sinirsel işleme ve eşsiz verimlilik sunar.</p>
<h3><span tabindex="0" aria-expanded="true"><span dir="auto">Özellikler</span></span></h3>
<div class="accordion-content">
<ul class="columns-2 productTools-features gray-bullets">
<li><span aria-expanded="true"><span dir="auto">NVIDIA Blackwell Mimarisi</span></span></li>
<li><span aria-expanded="false"><span dir="auto">ECC&#8217;li 24 GB GDDR7</span></span></li>
<li><span aria-expanded="false"><span dir="auto">NVIDIA RTX PRO SYNC Uyumlu</span></span></li>
<li><span aria-expanded="false"><span dir="auto">4 x Ekran Bağlantı Noktası 2.1</span></span></li>
<li><span aria-expanded="false"><span dir="auto">8960 CUDA </span><sup><span dir="auto">®</span></sup><span dir="auto"> Çekirdekleri</span></span></li>
<li><span aria-expanded="false"><span dir="auto">140 W Maksimum Güç Tüketimi</span></span></li>
</ul>
<div class="row h-softSmEnds">
<div class="column med-10 productTools-specification"><strong><span dir="auto">CUDA Paralel İşlem Çekirdekleri</span></strong></div>
<div class="column med-14"><span dir="auto">8960</span></div>
</div>
<div class="row h-softSmEnds">
<div class="column med-10 productTools-specification"><span dir="auto">NVIDIA Tensor Çekirdekleri</span></div>
<div class="column med-14"><span dir="auto">280</span></div>
</div>
<div class="row h-softSmEnds">
<div class="column med-10 productTools-specification"><span dir="auto">NVIDIA RT Çekirdekleri</span></div>
<div class="column med-14"><span dir="auto">70</span></div>
</div>
<div class="row h-softSmEnds">
<div class="column med-10 productTools-specification"><span dir="auto">GPU Belleği</span></div>
<div class="column med-14"><span dir="auto">ECC&#8217;li 24 GB GDDR7</span></div>
</div>
<div class="row h-softSmEnds">
<div class="column med-10 productTools-specification"><span dir="auto">Form Faktörü</span></div>
<div class="column med-14"><span dir="auto">4,4” Y x 9,5” U, FHML Tek Yuva</span></div>
</div>
</div>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-4000-blackwell-pcie-5-24gb-900-5g147-0070-000/">NVIDIA RTX PRO 4000 Blackwell PCIe 5 24GB | 900-5G147-0070-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
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		<title>NVIDIA RTX PRO 4000 Small FormFactor Blackwell PCIe5 24G &#124; 900-5G195-2200-000</title>
		<link>https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-4000-small-formfactor-blackwell-pcie5-24g-900-5g195-2200-000/</link>
		
		<dc:creator><![CDATA[Serkan]]></dc:creator>
		<pubDate>Thu, 13 Nov 2025 13:35:46 +0000</pubDate>
				<guid isPermaLink="false">https://gtmteknoloji.com/b2b/?post_type=product&#038;p=10325</guid>

					<description><![CDATA[<p>NVIDIA RTX PRO 4000 Blackwell SFF Edition SKU: VCNRTXPRO4000BLP-PB NVIDIA RTX PRO™ 4000 Blackwell SFF Edition, kompakt bir tasarımda en</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-4000-small-formfactor-blackwell-pcie5-24g-900-5g195-2200-000/">NVIDIA RTX PRO 4000 Small FormFactor Blackwell PCIe5 24G | 900-5G195-2200-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
]]></description>
										<content:encoded><![CDATA[<header class="product-header">
<h1>NVIDIA RTX PRO 4000 Blackwell SFF Edition</h1>
<p class="sku">SKU: VCNRTXPRO4000BLP-PB</p>
</header>
<section class="summary"><strong>NVIDIA RTX PRO™ 4000 Blackwell SFF Edition</strong>, kompakt bir tasarımda en üst düzey performans için yeni nesil RT Çekirdekleri, Tensor Çekirdekleri ve CUDA® çekirdeklerini **24 GB GDDR7** bellek ile birleştirir.</section>
<p>—</p>
<h2>Temel Özellikler</h2>
<ul class="features-list">
<li>NVIDIA Blackwell Mimarisi</li>
<li>ECC Destekli 24 GB GDDR7 Bellek</li>
<li>280 Adet 5. Nesil Tensor Çekirdek</li>
<li>70 Adet 4. Nesil RT Çekirdek</li>
<li>8.960 CUDA® Çekirdek</li>
<li>70 W Maksimum Güç Tüketimi</li>
</ul>
<p>—</p>
<h2>Teknik Özellikler</h2>
<table class="spec-table">
<thead>
<tr>
<th>Özellik</th>
<th>Detay</th>
</tr>
</thead>
<tbody>
<tr>
<td>Mimari</td>
<td>NVIDIA Blackwell Architecture</td>
</tr>
<tr>
<td>CUDA Paralel İşlem Çekirdekleri</td>
<td>8960</td>
</tr>
<tr>
<td>Tek Hassasiyet Performansı (Tepe)</td>
<td>24 TFLOPS</td>
</tr>
<tr>
<td>Tensor Performansı (AI)</td>
<td>770 AI TOPS</td>
</tr>
<tr>
<td>RT Çekirdek Performansı (Işın İzleme)</td>
<td>73 TFLOPS</td>
</tr>
<tr>
<td>GPU Belleği</td>
<td>24 GB GDDR7 with ECC</td>
</tr>
<tr>
<td>Bellek Arayüzü</td>
<td>192-bit</td>
</tr>
<tr>
<td>Maksimum Güç Tüketimi</td>
<td>70W</td>
</tr>
<tr>
<td>Form Faktörü</td>
<td>2.7” H x 6.6” L, HHHL Çift Yuva (SFF)</td>
</tr>
<tr>
<td>Ekran Bağlantıları</td>
<td>mDP 2.1b (4 adet)</td>
</tr>
</tbody>
</table>
<p>—</p>
<h2>Blackwell Mimarisi ve Temel Teknolojiler</h2>
<h3>NVIDIA Blackwell Mimarisi</h3>
<p>Yapay zeka, ışın izleme ve nöral görüntüleme teknolojilerini bir araya getiren Blackwell, görsel doğruluk ve performans için yeni bir standart oluşturur…</p>
<p>The post <a href="https://gtmteknoloji.com/b2b/magaza/ekran-karti/profesyonel-grafik-kartlari/nvidia-rtx-pro-4000-small-formfactor-blackwell-pcie5-24g-900-5g195-2200-000/">NVIDIA RTX PRO 4000 Small FormFactor Blackwell PCIe5 24G | 900-5G195-2200-000</a> appeared first on <a href="https://gtmteknoloji.com/b2b">GTM Teknoloji</a>.</p>
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