{"id":5376,"date":"2025-12-31T15:20:29","date_gmt":"2025-12-31T11:50:29","guid":{"rendered":"https:\/\/tapestorage.net\/?post_type=product&#038;p=5376"},"modified":"2026-05-24T16:57:31","modified_gmt":"2026-05-24T13:27:31","slug":"%da%a9%d8%a7%d8%b1%d8%aa-%da%af%d8%b1%d8%a7%d9%81%db%8c%da%a9-nvidia-h200-nvl","status":"publish","type":"product","link":"https:\/\/tapestorage.net\/en\/product\/%da%a9%d8%a7%d8%b1%d8%aa-%da%af%d8%b1%d8%a7%d9%81%db%8c%da%a9-nvidia-h200-nvl\/","title":{"rendered":"\u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 NVIDIA H200 NVL"},"content":{"rendered":"<h1><strong>\u0645\u0639\u0631\u0641\u06cc \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9<\/strong><strong> NVIDIA H200 NVL<\/strong><\/h1>\n<p>\u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9\u00a0NVIDIA H200 NVL\u00a0\u06cc\u06a9\u06cc \u0627\u0632 \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc\u0646 \u0634\u062a\u0627\u0628\u200c\u062f\u0647\u0646\u062f\u0647\u200c\u0647\u0627\u06cc \u062f\u0627\u062f\u0647\u200c\u0645\u062d\u0648\u0631 (Data Center GPU) \u0634\u0631\u06a9\u062a \u0627\u0646\u0648\u06cc\u062f\u06cc\u0627 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631 \u067e\u0627\u06cc\u0647 \u0645\u0639\u0645\u0627\u0631\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u00a0Hopper\u00a0\u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0648 \u0628\u0647\u200c\u0637\u0648\u0631 \u062e\u0627\u0635 \u0628\u0631\u0627\u06cc \u0646\u0633\u0644 \u0628\u0639\u062f\u06cc \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0647\u0627\u06cc\u00a0\u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u0648\u0644\u062f (Generative AI)\u060c\u00a0\u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0632\u0628\u0627\u0646\u06cc \u0628\u0632\u0631\u06af (LLM)\u060c \u0648\u00a0\u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0639\u0644\u0645\u06cc \u0628\u0627 \u06a9\u0627\u0631\u0627\u06cc\u06cc \u0628\u0627\u0644\u0627 (HPC)\u00a0\u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u0627\u0631\u062a \u0646\u0633\u062e\u0647\u200c\u06cc\u00a0PCIe \u0648 \u0647\u0648\u0627\u062e\u0646\u06a9 (Air-Cooled)\u00a0\u0627\u0632 \u0633\u0631\u06cc H200 \u0645\u062d\u0633\u0648\u0628 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0631\u06a9\u200c\u0647\u0627 \u0648 \u0633\u0631\u0648\u0631\u0647\u0627\u06cc \u0633\u0627\u0632\u0645\u0627\u0646\u06cc \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u06a9\u0647 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u062a\u0648\u0627\u0646 \u067e\u0631\u062f\u0627\u0632\u0634\u06cc \u0628\u0627\u0644\u0627 \u062f\u0631 \u0642\u0627\u0644\u0628\u06cc \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u062f\u0627\u0631\u0646\u062f. H200 NVL \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u0648 \u0627\u062f\u0627\u0645\u0647\u200c\u062f\u0647\u0646\u062f\u0647\u200c\u06cc \u0645\u0633\u06cc\u0631 \u0645\u0648\u0641\u0642 \u06a9\u0627\u0631\u062a\u200c\u0647\u0627\u06cc H100 NVL \u0648 A100 PCIe \u0627\u0633\u062a\u060c \u0628\u0627 \u0627\u06cc\u0646 \u062a\u0641\u0627\u0648\u062a \u06a9\u0647 \u0627\u0632 \u062d\u0627\u0641\u0638\u0647\u200c\u06cc \u0646\u0633\u0644 \u062c\u062f\u06cc\u062f\u00a0HBM3e\u00a0\u0628\u0647\u0631\u0647 \u0645\u06cc\u200c\u0628\u0631\u062f \u06a9\u0647 \u0627\u0632 \u0646\u0638\u0631 \u0633\u0631\u0639\u062a\u060c \u0638\u0631\u0641\u06cc\u062a \u0648 \u0628\u0627\u0632\u062f\u0647\u06cc\u060c \u062a\u062d\u0648\u0644\u06cc \u0686\u0634\u0645\u06af\u06cc\u0631 \u062f\u0631 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 \u0646\u0633\u0644 \u0642\u0628\u0644 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<figure id=\"attachment_5372\" aria-describedby=\"caption-attachment-5372\" style=\"width: 1600px\" class=\"wp-caption alignnone\"><img fetchpriority=\"high\" decoding=\"async\" class=\"size-full wp-image-5372\" src=\"https:\/\/tapestorage.net\/wp-content\/uploads\/2025\/12\/H200-in-SR680a-V3.jpg\" alt=\"\u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 NVIDIA H200 NVL\" width=\"1600\" height=\"888\" srcset=\"https:\/\/tapestorage.net\/wp-content\/uploads\/2025\/12\/H200-in-SR680a-V3.jpg 1600w, https:\/\/tapestorage.net\/wp-content\/uploads\/2025\/12\/H200-in-SR680a-V3-300x167.jpg 300w, https:\/\/tapestorage.net\/wp-content\/uploads\/2025\/12\/H200-in-SR680a-V3-1024x568.jpg 1024w, https:\/\/tapestorage.net\/wp-content\/uploads\/2025\/12\/H200-in-SR680a-V3-768x426.jpg 768w, https:\/\/tapestorage.net\/wp-content\/uploads\/2025\/12\/H200-in-SR680a-V3-1536x852.jpg 1536w, https:\/\/tapestorage.net\/wp-content\/uploads\/2025\/12\/H200-in-SR680a-V3-600x333.jpg 600w\" sizes=\"(max-width: 1600px) 100vw, 1600px\" \/><figcaption id=\"caption-attachment-5372\" class=\"wp-caption-text\">\u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 NVIDIA H200 NVL<\/figcaption><\/figure>\n<h2><strong>\u0645\u0634\u062e\u0635\u0627\u062a \u0641\u0646\u06cc :<\/strong><\/h2>\n<table width=\"544\">\n<tbody>\n<tr>\n<td width=\"239\"><strong>\u0645\u0634\u062e\u0635\u0647 \u0641\u0646\u06cc<\/strong><\/td>\n<td width=\"305\"><strong>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \/ \u0645\u0642\u062f\u0627\u0631<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u0645\u0639\u0645\u0627\u0631\u06cc <\/strong><strong>GPU<\/strong><\/td>\n<td width=\"305\">NVIDIA Hopper\u2122<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u0645\u062f\u0644 <\/strong><strong>GPU<\/strong><\/td>\n<td width=\"305\">H200 NVL (Dual-GPU Configuration)<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u0641\u0631\u0627\u06cc\u0646\u062f \u0633\u0627\u062e\u062a<\/strong><\/td>\n<td width=\"305\">TSMC 4N (4 \u0646\u0627\u0646\u0648\u0645\u062a\u0631\u06cc)<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u062a\u0639\u062f\u0627\u062f <\/strong><strong>GPU<\/strong><strong> \u062f\u0631 \u0647\u0631 \u0645\u0627\u0698\u0648\u0644 <\/strong><strong>NVL<\/strong><\/td>\n<td width=\"305\">2 \u0639\u062f\u062f GPU \u06a9\u0627\u0645\u0644 H200 (\u0628\u0647\u200c\u0635\u0648\u0631\u062a NVLink \u0645\u062a\u0635\u0644)<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u062a\u0639\u062f\u0627\u062f \u062a\u0631\u0627\u0646\u0632\u06cc\u0633\u062a\u0648\u0631\u0647\u0627 (\u0647\u0631 <\/strong><strong>GPU<\/strong><strong>)<\/strong><\/td>\n<td width=\"305\">\u062d\u062f\u0648\u062f 80 \u0645\u06cc\u0644\u06cc\u0627\u0631\u062f<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u062a\u0639\u062f\u0627\u062f<\/strong><strong>\u00a0<\/strong><strong>\u0647\u0633\u062a\u0647\u200c\u0647\u0627\u06cc<\/strong><strong>\u00a0<\/strong><strong>CUDA (FP32)<\/strong><\/td>\n<td width=\"305\">16,896 \u0647\u0633\u062a\u0647 \u062f\u0631 \u0647\u0631 GPU<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u062a\u0639\u062f\u0627\u062f \u0647\u0633\u062a\u0647\u200c\u0647\u0627\u06cc <\/strong><strong>Tensor<\/strong><strong> \u0646\u0633\u0644 \u0686\u0647\u0627\u0631\u0645<\/strong><\/td>\n<td width=\"305\">528 \u062f\u0631 \u0647\u0631 GPU<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u062d\u0627\u0641\u0638\u0647 \u06af\u0631\u0627\u0641\u06cc\u06a9\u06cc (<\/strong><strong>VRAM<\/strong><strong>)<\/strong><\/td>\n<td width=\"305\">141 GB HBM3e per GPU \u2192 \u0645\u062c\u0645\u0648\u0639\u0627\u064b 282 GB \u062f\u0631 \u0645\u0627\u0698\u0648\u0644 NVL<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u067e\u0647\u0646\u0627\u06cc \u0628\u0627\u0646\u062f \u062d\u0627\u0641\u0638\u0647 (<\/strong><strong>Memory Bandwidth<\/strong><strong>)<\/strong><\/td>\n<td width=\"305\">4.8 TB\/s \u062f\u0631 \u0647\u0631 GPU<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u0646\u0648\u0639 \u062d\u0627\u0641\u0638\u0647<\/strong><\/td>\n<td width=\"305\">HBM3e \u0628\u0627 \u0633\u0631\u0639\u062a 4.8 Tb\/s<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u0633\u0631\u0639\u062a \u062d\u0627\u0641\u0638\u0647 \u0645\u0624\u062b\u0631<\/strong><\/td>\n<td width=\"305\">4.8 Gbps per pin<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>NVLink<\/strong><strong> \u0646\u0633\u0644 \u0686\u0647\u0627\u0631\u0645<\/strong><\/td>\n<td width=\"305\">\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u062a\u0627 900 GB\/s \u0627\u0631\u062a\u0628\u0627\u0637 GPU-to-GPU<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>NVSwitch<\/strong><strong> \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc\u200c\u0634\u062f\u0647<\/strong><\/td>\n<td width=\"305\">\u0628\u0644\u0647\u060c \u0628\u0631\u0627\u06cc \u0627\u062a\u0635\u0627\u0644 \u0686\u0646\u062f GPU \u062f\u0631 \u0645\u0642\u06cc\u0627\u0633 \u0633\u0631\u0648\u0631<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>PCIe Interface<\/strong><\/td>\n<td width=\"305\">PCIe Gen5 x16<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u062a\u0648\u0627\u0646 \u062d\u0631\u0627\u0631\u062a\u06cc (<\/strong><strong>TDP<\/strong><strong>)<\/strong><\/td>\n<td width=\"305\">\u062d\u062f\u0648\u062f 700 \u0648\u0627\u062a (\u0628\u0631\u0627\u06cc \u0647\u0631 \u0645\u0627\u0698\u0648\u0644 NVL \u0634\u0627\u0645\u0644 \u062f\u0648 GPU)<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u062e\u0646\u06a9\u200c\u0633\u0627\u0632\u06cc (<\/strong><strong>Cooling<\/strong><strong>)<\/strong><\/td>\n<td width=\"305\">\u0637\u0631\u0627\u062d\u06cc Passive \u06cc\u0627 Liquid Cooling \u0628\u0631\u0627\u06cc \u062f\u06cc\u062a\u0627\u0633\u0646\u062a\u0631\u0647\u0627<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u0641\u0631\u0645\u062a \u06a9\u0627\u0631\u062a<\/strong><\/td>\n<td width=\"305\">SXM5 (Server Module) \u2013 \u0646\u0647 PCIe \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 <\/strong><strong>FP8\/FP16\/BF16\/TF32<\/strong><\/td>\n<td width=\"305\">\u0628\u0644\u0647\u060c \u0628\u0647\u06cc\u0646\u0647\u200c\u0634\u062f\u0647 \u0628\u0631\u0627\u06cc LLM\u0647\u0627 \u0648 AI Training<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u06a9\u0627\u0631\u0627\u06cc\u06cc <\/strong><strong>FP8 (Performance)<\/strong><\/td>\n<td width=\"305\">\u062a\u0627 1.8 PFLOPS \u062f\u0631 \u067e\u06cc\u06a9 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc \u062f\u0648\u06af\u0627\u0646\u0647 (NVL)<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u06a9\u0627\u0631\u0627\u06cc\u06cc <\/strong><strong>FP16<\/strong><\/td>\n<td width=\"305\">\u062d\u062f\u0648\u062f 900 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 <\/strong><strong>NVLink Bridge<\/strong><\/td>\n<td width=\"305\">\u0628\u0644\u0647\u060c \u0628\u0631\u0627\u06cc \u0627\u062a\u0635\u0627\u0644 \u0628\u06cc\u0646 \u062f\u0648 \u0645\u0627\u0698\u0648\u0644 NVL \u062c\u0647\u062a \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u0642\u06cc\u0627\u0633<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631\u06cc<\/strong><\/td>\n<td width=\"305\">NVIDIA CUDA 12.x\u060c cuDNN\u060c TensorRT\u060c Triton\u060c NCCL\u060c \u0648 \u062f\u06cc\u06af\u0631 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc AI Enterprise<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 <\/strong><strong>MIG <\/strong><\/p>\n<p><strong>(Multi-Instance GPU)<\/strong><\/td>\n<td width=\"305\">\u0628\u0644\u0647\u060c \u062a\u0642\u0633\u06cc\u0645 GPU \u0628\u0647 \u0686\u0646\u062f \u0628\u062e\u0634 \u0645\u062c\u0632\u0627 \u0628\u0631\u0627\u06cc \u0686\u0646\u062f \u06a9\u0627\u0631\u0628\u0631 \u06cc\u0627 \u0648\u0638\u06cc\u0641\u0647<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u06a9\u0627\u0631\u0628\u0631\u062f \u0627\u0635\u0644\u06cc<\/strong><\/td>\n<td width=\"305\">\u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0632\u0628\u0627\u0646\u06cc \u0628\u0632\u0631\u06af (LLM)\u060c \u0634\u0628\u06cc\u0647\u200c\u0633\u0627\u0632\u06cc \u0639\u0644\u0645\u06cc\u060c \u067e\u0631\u062f\u0627\u0632\u0634 \u0627\u0628\u0631\u06cc\u060c HPC \u0648 AI Inference<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u067e\u0644\u062a\u0641\u0631\u0645\u200c\u0647\u0627\u06cc \u0633\u0627\u0632\u06af\u0627\u0631<\/strong><\/td>\n<td width=\"305\">NVIDIA DGX H200, HGX H200, \u0648 \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc OEM \u0645\u0627\u0646\u0646\u062f Dell, HPE, Supermicro<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u0633\u06cc\u0633\u062a\u0645 \u062e\u0646\u06a9\u200c\u0633\u0627\u0632\u06cc<\/strong><\/td>\n<td width=\"305\">\u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u060c \u0633\u0627\u0632\u06af\u0627\u0631 \u0628\u0627 \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc \u062f\u06cc\u062a\u0627 \u0633\u0646\u062a\u0631 (Air \u06cc\u0627 Liquid)<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631 <\/strong><strong>AI Enterprise Suite<\/strong><\/td>\n<td width=\"305\">NVIDIA AI Enterprise Suite 5.0 \u0628\u0647 \u0628\u0627\u0644\u0627<\/td>\n<\/tr>\n<tr>\n<td width=\"239\"><strong>\u0632\u0645\u0627\u0646 \u0639\u0631\u0636\u0647 \u0631\u0633\u0645\u06cc<\/strong><\/td>\n<td width=\"305\">\u0627\u0648\u0627\u062e\u0631 2024<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>\u00a0<\/strong><\/p>\n<h2><strong>\u062d\u0627\u0641\u0638\u0647 \u0648 \u067e\u0647\u0646\u0627\u06cc \u0628\u0627\u0646\u062f \u0641\u0648\u0642\u200c\u0627\u0644\u0639\u0627\u062f\u0647<\/strong><strong> HBM3e<\/strong><\/h2>\n<p>NVIDIA H200 NVL \u0627\u0648\u0644\u06cc\u0646 GPU \u062a\u062c\u0627\u0631\u06cc \u062c\u0647\u0627\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0627\u0632 \u062d\u0627\u0641\u0638\u0647\u200c\u06cc\u00a0HBM3e\u00a0\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f. \u0627\u06cc\u0646 \u0646\u0648\u0639 \u062d\u0627\u0641\u0638\u0647\u060c \u0646\u0633\u062e\u0647\u200c\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u200c\u062a\u0631\u06cc \u0627\u0632 HBM3 \u0627\u0633\u062a \u0648 \u067e\u0647\u0646\u0627\u06cc \u0628\u0627\u0646\u062f \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627\u062a\u0631\u06cc \u0631\u0627 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 GPU \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u062f\u0647\u062f.<\/p>\n<p>\u0638\u0631\u0641\u06cc\u062a \u062d\u0627\u0641\u0638\u0647\u200c\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631\u062a\u00a0\u06f1\u06f4\u06f1 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u0627\u0633\u062a \u0648 \u067e\u0647\u0646\u0627\u06cc \u0628\u0627\u0646\u062f \u0622\u0646 \u0628\u0647 \u0639\u062f\u062f \u062e\u06cc\u0631\u0647\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u06cc\u00a0\u06f4.\u06f8 \u062a\u0631\u0627\u0628\u0627\u06cc\u062a \u0628\u0631 \u062b\u0627\u0646\u06cc\u0647\u00a0\u0645\u06cc\u200c\u0631\u0633\u062f \u2014 \u0645\u0642\u062f\u0627\u0631\u06cc \u06a9\u0647 \u0646\u0633\u0628\u062a \u0628\u0647 H100 (\u0628\u0627 \u06f8\u06f0 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a \u0648 \u06f3.\u06f3\u06f5 \u062a\u0631\u0627\u0628\u0627\u06cc\u062a \u0628\u0631 \u062b\u0627\u0646\u06cc\u0647) \u062d\u062f\u0648\u062f\u00a0\u06f4\u06f0 \u062f\u0631\u0635\u062f \u0633\u0631\u06cc\u0639\u200c\u062a\u0631\u00a0\u0627\u0633\u062a.<\/p>\n<p>\u0627\u06cc\u0646 \u0627\u0641\u0632\u0627\u06cc\u0634 \u067e\u0647\u0646\u0627\u06cc \u0628\u0627\u0646\u062f \u0628\u0627\u0639\u062b \u0645\u06cc\u200c\u0634\u0648\u062f \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0639\u0638\u06cc\u0645 \u0632\u0628\u0627\u0646\u06cc \u0645\u0627\u0646\u0646\u062f GPT-4\u060c Llama 3 \u06cc\u0627 Mixtral \u0628\u0627 \u0633\u0631\u0639\u062a \u0648 \u067e\u0627\u06cc\u062f\u0627\u0631\u06cc \u0628\u06cc\u0634\u062a\u0631\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0634\u0648\u0646\u062f. \u0628\u0647\u200c\u0648\u06cc\u0698\u0647 \u062f\u0631 \u06a9\u0627\u0631\u0647\u0627\u06cc\u00a0memory-bound\u00a0(\u062d\u0627\u0641\u0638\u0647\u200c\u0645\u062d\u0648\u0631) \u06a9\u0647 \u067e\u0647\u0646\u0627\u06cc \u0628\u0627\u0646\u062f \u0645\u062d\u062f\u0648\u062f \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0639\u0627\u0645\u0644 \u0627\u0635\u0644\u06cc \u06a9\u0646\u062f\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0633\u062a\u060c H200 NVL \u062c\u0647\u0634\u06cc \u0648\u0627\u0642\u0639\u06cc \u062f\u0631 \u06a9\u0627\u0631\u0627\u06cc\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/p>\n<p>&nbsp;<\/p>\n<h2><strong>\u062a\u0648\u0627\u0646 \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc<\/strong><strong> (Compute Performance)<\/strong><\/h2>\n<p>H200 NVL \u0627\u0632 \u0647\u0645\u0627\u0646 \u0645\u0639\u0645\u0627\u0631\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc\u00a0Hopper Tensor Core GPU\u00a0\u0628\u0647\u0631\u0647 \u0645\u06cc\u200c\u0628\u0631\u062f \u06a9\u0647 \u062f\u0631 H100 \u0646\u06cc\u0632 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u062f\u0647\u060c \u0627\u0645\u0627 \u0628\u0627 \u0641\u0631\u06a9\u0627\u0646\u0633\u200c\u0647\u0627 \u0648 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f. \u062a\u0648\u0627\u0646 \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631\u062a \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<ul>\n<li>FP64 \u00a0: (\u062f\u0642\u062a \u062f\u0648\u06af\u0627\u0646\u0647)\u00a0\u062d\u062f\u0648\u062f\u00a0\u06f3\u06f0 \u062a\u0631\u0627\u0641\u0644\u0627\u067e\u0633<\/li>\n<li>FP32 : \u00a0(\u062f\u0642\u062a \u0645\u0639\u0645\u0648\u0644\u06cc)\u00a0\u062d\u062f\u0648\u062f\u00a0\u06f6\u06f0 \u062a\u0627 \u06f6\u06f7 \u062a\u0631\u0627\u0641\u0644\u0627\u067e\u0633<\/li>\n<li>TF32 Tensor Core :\u00a0\u062d\u062f\u0648\u062f\u00a0\u06f8\u06f3\u06f5 \u062a\u0631\u0627\u0641\u0644\u0627\u067e\u0633<\/li>\n<li>BFLOAT16 \/ FP16 Tensor : \u00a0\u062d\u062f\u0648\u062f\u00a0\u06f1,\u06f6\u06f7\u06f1 \u062a\u0631\u0627\u0641\u0644\u0627\u067e\u0633<\/li>\n<li>FP8 Tensor \u00a0: (\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 \u0646\u0633\u0644 \u062c\u062f\u06cc\u062f)\u00a0\u062a\u0627\u00a0\u06f3,\u06f3\u06f4\u06f1 \u062a\u0631\u0627\u0641\u0644\u0627\u067e\u0633\u00a0\u06cc\u0627 \u062d\u062f\u0648\u062f\u00a0\u06f3.\u06f3 \u067e\u0650\u062a\u0627\u0641\u0644\u0627\u067e\u0633<\/li>\n<li>INT8 Tensor : \u00a0\u062a\u0627\u00a0\u06f3,\u06f3\u06f4\u06f1 \u062a\u0631\u0627\u0641\u0644\u0627\u067e\u0633<\/li>\n<\/ul>\n<p>\u0628\u0647\u200c\u0648\u0627\u0633\u0637\u0647\u200c\u06cc \u0627\u06cc\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631\u060c H200 NVL \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0639\u0645\u0644\u06cc\u0627\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0648 \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0639\u0638\u06cc\u0645 \u0631\u0627 \u0628\u0627 \u0633\u0631\u0639\u062a\u06cc \u062a\u0627\u00a0\u06f1.\u06f6 \u0628\u0631\u0627\u0628\u0631 \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u0627\u0632 H100\u00a0\u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u062f. \u062f\u0631 \u0628\u0646\u0686\u0645\u0627\u0631\u06a9\u200c\u0647\u0627\u06cc \u062f\u0627\u062e\u0644\u06cc NVIDIA\u060c \u062f\u0631 \u0645\u062f\u0644 Llama2-70B\u060c \u0627\u06cc\u0646 GPU \u062a\u0627\u00a0\u06f1.\u06f9 \u0628\u0631\u0627\u0628\u0631 \u0633\u0631\u06cc\u0639\u200c\u062a\u0631\u00a0\u0627\u0632 \u0646\u0633\u0644 \u0642\u0628\u0644 \u0639\u0645\u0644 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>&nbsp;<\/p>\n<h2><strong>\u0631\u0627\u0628\u0637 \u0648 \u0645\u0639\u0645\u0627\u0631\u06cc \u0633\u062e\u062a\u200c\u0627\u0641\u0632\u0627\u0631\u06cc<\/strong><\/h2>\n<p>\u0628\u0631\u062e\u0644\u0627\u0641 \u0646\u0633\u062e\u0647\u200c\u06cc SXM \u06a9\u0647 \u0627\u0632\u00a0NVLink \u0628\u0627 \u067e\u0647\u0646\u0627\u06cc \u0628\u0627\u0646\u062f \u06f9\u06f0\u06f0 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a \u0628\u0631 \u062b\u0627\u0646\u06cc\u0647\u00a0\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u0646\u0633\u062e\u0647\u200c\u06cc NVL \u0628\u0647\u200c\u0635\u0648\u0631\u062a\u00a0PCIe Gen5 x16\u00a0\u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u0648 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u062a\u0627\u00a0\u06f1\u06f2\u06f8 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a \u0628\u0631 \u062b\u0627\u0646\u06cc\u0647\u00a0\u0628\u0627 \u0645\u06cc\u0632\u0628\u0627\u0646 (Host CPU) \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f. \u0627\u06cc\u0646 \u0645\u0648\u0636\u0648\u0639 \u0628\u0627\u0639\u062b \u0645\u06cc\u200c\u0634\u0648\u062f \u0646\u0635\u0628 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u062f\u0631 \u0633\u0631\u0648\u0631\u0647\u0627\u06cc \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0648 \u067e\u06cc\u06a9\u0631\u0628\u0646\u062f\u06cc\u200c\u0647\u0627\u06cc \u0627\u0646\u0639\u0637\u0627\u0641\u200c\u067e\u0630\u06cc\u0631 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647\u200c\u062a\u0631 \u0628\u0627\u0634\u062f.<\/p>\n<p>\u0641\u0631\u0645\u200c\u0641\u0627\u06a9\u062a\u0648\u0631 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u062a\u00a0Dual-slot\u00a0\u0627\u0633\u062a \u0648 \u0627\u0632 \u0633\u06cc\u0633\u062a\u0645 \u062e\u0646\u06a9\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u06cc\u00a0\u0641\u0639\u0627\u0644 (Active Cooling)\u00a0\u0628\u0647\u0631\u0647 \u0645\u06cc\u200c\u0628\u0631\u062f \u062a\u0627 \u062f\u0631 \u062a\u0648\u0627\u0646 \u062d\u0631\u0627\u0631\u062a\u06cc \u062a\u0627\u00a0\u06f6\u06f0\u06f0 \u0648\u0627\u062a (TDP)\u00a0\u0628\u062a\u0648\u0627\u0646\u062f \u0639\u0645\u0644\u06a9\u0631\u062f \u067e\u0627\u06cc\u062f\u0627\u0631 \u062e\u0648\u062f \u0631\u0627 \u062d\u0641\u0638 \u06a9\u0646\u062f.<\/p>\n<p>&nbsp;<\/p>\n<h2><strong>\u0627\u0645\u0646\u06cc\u062a \u0648 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631\u06cc<\/strong><\/h2>\n<p>NVIDIA H200 NVL \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0627\u0645\u0646\u06cc\u062a\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u060c \u0627\u0632 \u062c\u0645\u0644\u0647\u00a0Confidential Computing\u00a0\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0645\u06cc\u200c\u06a9\u0646\u062f. \u0627\u06cc\u0646 \u0641\u0646\u0627\u0648\u0631\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631 \u062d\u06cc\u0646 \u067e\u0631\u062f\u0627\u0632\u0634 \u0646\u06cc\u0632 \u0631\u0645\u0632\u0646\u06af\u0627\u0631\u06cc \u0645\u06cc\u200c\u06a9\u0646\u062f \u062a\u0627 \u0627\u0645\u0646\u06cc\u062a \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062d\u0633\u0627\u0633 \u062f\u0631 \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc \u0627\u0628\u0631\u06cc \u06cc\u0627 \u0686\u0646\u062f\u200c\u06a9\u0627\u0631\u0628\u0631\u0647 \u062d\u0641\u0638 \u0634\u0648\u062f.<\/p>\n<p>\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0622\u0646\u060c \u0646\u0633\u062e\u0647\u200c\u06cc NVL \u0628\u0647\u200c\u0635\u0648\u0631\u062a \u067e\u06cc\u0634\u200c\u0641\u0631\u0636 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627\u00a0\u0627\u0634\u062a\u0631\u0627\u06a9 \u06f5 \u0633\u0627\u0644\u0647 \u0627\u0632 \u067e\u0644\u062a\u0641\u0631\u0645 NVIDIA AI Enterprise\u00a0\u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f. \u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u0634\u0627\u0645\u0644 \u0627\u0628\u0632\u0627\u0631\u0647\u0627 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc \u0631\u0633\u0645\u06cc NVIDIA \u0628\u0631\u0627\u06cc \u062a\u0648\u0633\u0639\u0647\u060c \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u062f\u0631 \u0645\u062d\u06cc\u0637\u200c\u0647\u0627\u06cc \u0633\u0627\u0632\u0645\u0627\u0646\u06cc \u0627\u0633\u062a \u2014 \u0627\u0632 \u062c\u0645\u0644\u0647 NVIDIA Triton Inference Server\u060c NeMo Framework\u060c \u0648 TensorRT.<\/p>\n<h2>\u0639\u0645\u0644\u06a9\u0631\u062f \u062f\u0631 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc (LLM Performance)<\/h2>\n<p>NVIDIA \u062f\u0631 \u0646\u062a\u0627\u06cc\u062c \u0631\u0633\u0645\u06cc \u062e\u0648\u062f \u0627\u0639\u0644\u0627\u0645 \u06a9\u0631\u062f\u0647 \u06a9\u0647 H200 NVL (\u0648 \u0646\u0633\u062e\u0647\u200c\u06cc SXM \u0622\u0646) \u062f\u0631 \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0632\u0628\u0627\u0646\u06cc \u0628\u0632\u0631\u06af\u060c \u067e\u06cc\u0634\u0631\u0641\u062a \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u0646\u0633\u0628\u062a \u0628\u0647 \u0646\u0633\u0644 \u0642\u0628\u0644 (H100) \u062f\u0627\u0631\u062f.<\/p>\n<p>\u0628\u0647 \u0637\u0648\u0631 \u062e\u0627\u0635:<\/p>\n<ul>\n<li>\u062f\u0631\u00a0GPT-3 175B\u00a0\u062d\u062f\u0648\u062f\u00a0\u06f1.\u06f6 \u0628\u0631\u0627\u0628\u0631 \u0633\u0631\u06cc\u0639\u200c\u062a\u0631\u00a0\u0627\u0633\u062a.<\/li>\n<li>\u062f\u0631\u00a0Llama2-70B\u00a0\u062d\u062f\u0648\u062f\u00a0\u06f1.\u06f9 \u0628\u0631\u0627\u0628\u0631 \u0633\u0631\u06cc\u0639\u200c\u062a\u0631\u00a0\u0639\u0645\u0644 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/li>\n<\/ul>\n<p>\u0627\u06cc\u0646 \u067e\u06cc\u0634\u0631\u0641\u062a \u0639\u0645\u062f\u062a\u0627\u064b \u0628\u0647 \u0644\u0637\u0641 \u067e\u0647\u0646\u0627\u06cc \u0628\u0627\u0646\u062f \u0628\u0627\u0644\u0627\u062a\u0631 HBM3e \u0648 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u062f\u0631 Tensor Cores \u0646\u0633\u0644 \u062c\u062f\u06cc\u062f \u0627\u0633\u062a. \u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u0645\u0635\u0631\u0641 \u0627\u0646\u0631\u0698\u06cc \u062f\u0631 \u0647\u0631 \u0648\u0627\u062d\u062f \u0639\u0645\u0644\u06cc\u0627\u062a (performance-per-watt) \u0646\u06cc\u0632 \u062a\u0627 \u06f2\u06f0\u066a \u0628\u0647\u0628\u0648\u062f \u06cc\u0627\u0641\u062a\u0647 \u0627\u0633\u062a.<\/p>\n<h3>\u0645\u0648\u0627\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 (Use Cases)<\/h3>\n<p>NVIDIA H200 NVL \u0628\u0647\u200c\u0648\u06cc\u0698\u0647 \u0628\u0631\u0627\u06cc \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f:<\/p>\n<ul>\n<li>\u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u0633\u062a\u0646\u062a\u0627\u062c\u00a0\u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0632\u0628\u0627\u0646\u06cc \u0628\u0632\u0631\u06af (LLM)\u00a0\u0645\u0627\u0646\u0646\u062f GPT\u060c Claude\u060c Llama \u0648 Gemini<\/li>\n<li>\u0627\u062c\u0631\u0627\u06cc \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc\u00a0\u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u0648\u0644\u062f (Generative AI)\u00a0\u0634\u0627\u0645\u0644 \u062a\u0635\u0648\u06cc\u0631\u060c \u0645\u062a\u0646 \u0648 \u0635\u0648\u062a<\/li>\n<li>\u0634\u062a\u0627\u0628\u200c\u062f\u0647\u06cc \u062f\u0631 \u0634\u0628\u06cc\u0647\u200c\u0633\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u0639\u0644\u0645\u06cc \u0648 \u0645\u062f\u0644\u200c\u0633\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0633\u0646\u06af\u06cc\u0646 \u062f\u0631 \u062d\u0648\u0632\u0647\u200c\u0647\u0627\u06cc\u00a0HPC<\/li>\n<li>\u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u0648\u0627\u0632\u06cc \u062f\u0631 \u0645\u0642\u06cc\u0627\u0633 \u0633\u0627\u0632\u0645\u0627\u0646\u06cc (Enterprise-scale parallel computing)<\/li>\n<li>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631\u00a0\u0627\u0628\u0631\u0647\u0627\u06cc \u062e\u0635\u0648\u0635\u06cc (Private Clouds)\u00a0\u06cc\u0627 \u0645\u0631\u0627\u06a9\u0632 \u062f\u0627\u062f\u0647\u200c\u0627\u06cc \u0628\u0627 GPU\u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f<\/li>\n<li>\u0637\u0631\u0627\u062d\u06cc \u0648 \u062e\u0646\u06a9\u200c\u0633\u0627\u0632\u06cc<\/li>\n<\/ul>\n<p>H200 NVL \u0627\u0632 \u0637\u0631\u0627\u062d\u06cc\u00a0<strong>Dual-slot<\/strong>\u00a0\u0628\u0647\u0631\u0647 \u0645\u06cc\u200c\u0628\u0631\u062f \u0648 \u062f\u0627\u0631\u0627\u06cc \u062e\u0646\u06a9\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u06cc \u0641\u0639\u0627\u0644 \u0628\u0627 \u0641\u0646\u200c\u0647\u0627\u06cc \u067e\u0631\u0642\u062f\u0631\u062a \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u062a\u0648\u0627\u0646 \u06f6\u06f0\u06f0 \u0648\u0627\u062a\u060c \u062f\u0645\u0627\u06cc GPU \u0631\u0627 \u062f\u0631 \u0645\u062d\u062f\u0648\u062f\u0647\u200c\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0646\u06af\u0647 \u0645\u06cc\u200c\u062f\u0627\u0631\u062f.<\/p>\n<p>\u0627\u06cc\u0646 \u0637\u0631\u0627\u062d\u06cc \u0628\u0631\u0627\u06cc \u0631\u06a9\u200c\u0647\u0627\u06cc \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f 4U \u0648 2U \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a \u0648 \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u062f\u0631 \u0633\u0631\u0648\u0631\u0647\u0627\u06cc PCIe Gen5 \u0642\u0627\u0628\u0644 \u0646\u0635\u0628 \u0627\u0633\u062a. \u0627\u0646\u0648\u06cc\u062f\u06cc\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0646\u0633\u062e\u0647\u200c\u0647\u0627\u06cc\u06cc \u0627\u0632 \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc\u00a0MGX\u00a0\u0648\u00a0OEM-certified servers\u00a0\u0631\u0627 \u0645\u0639\u0631\u0641\u06cc \u06a9\u0631\u062f\u0647 \u06a9\u0647 \u0628\u0627 H200 NVL \u0633\u0627\u0632\u06af\u0627\u0631 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>&nbsp;<\/p>\n<h2><strong>\u062c\u0645\u0639\u200c\u0628\u0646\u062f\u06cc<\/strong><\/h2>\n<p>\u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9\u00a0NVIDIA H200 NVL\u00a0\u0646\u0645\u0627\u062f \u0642\u062f\u0631\u062a \u0646\u0633\u0644 \u062c\u062f\u06cc\u062f \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u062f\u0631 \u0642\u0627\u0644\u0628\u06cc \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0648 \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0645\u0631\u0627\u06a9\u0632 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a. \u0628\u0627\u00a0\u06f1\u06f4\u06f1 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a \u062d\u0627\u0641\u0638\u0647 HBM3e\u060c \u067e\u0647\u0646\u0627\u06cc \u0628\u0627\u0646\u062f \u06f4.\u06f8 \u062a\u0631\u0627\u0628\u0627\u06cc\u062a \u0628\u0631 \u062b\u0627\u0646\u06cc\u0647\u060c \u0648 \u062a\u0648\u0627\u0646\u00a0\u062a\u0627 \u06f3.\u06f3 \u067e\u0650\u062a\u0627\u0641\u0644\u0627\u067e\u0633 \u062f\u0631 FP8\u060c \u0627\u06cc\u0646 GPU \u06cc\u06a9\u06cc \u0627\u0632 \u0642\u0648\u06cc\u200c\u062a\u0631\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u200c\u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u060c \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0648 \u0627\u062c\u0631\u0627\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0632\u0628\u0627\u0646\u06cc \u0628\u0632\u0631\u06af \u0648 \u067e\u0631\u062f\u0627\u0632\u0634\u200c\u0647\u0627\u06cc \u0639\u0644\u0645\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632\u00a0MIG\u060c PCIe Gen5\u060c \u0627\u0645\u0646\u06cc\u062a \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u060c \u0648 \u0627\u0634\u062a\u0631\u0627\u06a9 <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/products\/ai-enterprise\/\">NVIDIA AI Enterprise<\/a>\u060c \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u0627\u06cc\u062f\u0647\u200c\u0622\u0644 \u0628\u0631\u0627\u06cc \u0633\u0627\u0632\u0645\u0627\u0646\u200c\u0647\u0627\u06cc\u06cc \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0631\u062f\u0647 \u06a9\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u062a\u0631\u06a9\u06cc\u0628 \u0639\u0645\u0644\u06a9\u0631\u062f \u0641\u0648\u0642\u200c\u0627\u0644\u0639\u0627\u062f\u0647 \u0648 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0628\u0627\u0644\u0627 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>&nbsp;<\/p>\n<p>\u062a\u06cc\u0645 \u0641\u0646\u06cc \u0634\u0631\u06a9\u062a \u06a9\u0648\u0634\u0627 \u0641\u0646\u0627\u0648\u0631\u0627\u0646 \u0645\u0628\u062a\u06a9\u0631 \u060c \u0628\u0627 \u062a\u0631\u06a9\u06cc\u0628 \u062a\u062c\u0631\u0628\u0647 \u0648 \u062a\u062e\u0635\u0635 \u0641\u0646\u0627\u0648\u0631\u06cc \u0646\u0648\u06cc\u0646\u060c \u0622\u0645\u0627\u062f\u0647 \u062e\u062f\u0645\u062a \u06af\u0630\u0627\u0631\u06cc \u0628\u0647 \u0633\u0627\u0632\u0645\u0627\u0646\u0647\u0627 \u0648 \u0646\u0647\u0627\u062f\u0647\u0627\u06cc \u062f\u0648\u0644\u062a\u06cc \u0648 \u062e\u0635\u0648\u0635\u06cc \u062f\u0631 \u062d\u0648\u0632\u0647 \u0627\u06cc\u062c\u0627\u062f \u0648 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0632\u06cc\u0631\u0633\u0627\u062e\u062a \u0647\u0627\u06cc \u0634\u0628\u06a9\u0647 \u0648 \u0627\u0645\u0646\u06cc\u062a \u0633\u0627\u06cc\u0628\u0631\u06cc \u0627\u0632 \u062c\u0645\u0644\u0647 \u0632\u06cc\u0631\u0633\u0627\u062e\u062a \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u200c\u06af\u06cc\u0631\u06cc \u0648 \u0628\u0627\u0632\u06cc\u0627\u0628\u06cc \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u06cc \u0628\u0627\u0634\u062f.<\/p>\n<p>\u062c\u0647\u062a \u0645\u0637\u0627\u0644\u0639\u0647 \u0645\u0642\u0627\u0644\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u0628\u0647 \u0628\u062e\u0634 \u0645\u0637\u0627\u0644\u0628 \u0622\u0645\u0648\u0632\u0634\u06cc \u0633\u0627\u06cc\u062a\u00a0<a href=\"http:\/\/www.tapestorage.net\/\">www.tapestorage.net<\/a>\u00a0\u0648\u00a0 \u0645\u062c\u0644\u0647 \u0645\u0628\u062a\u06a9\u0631 \u0628\u0647 \u0622\u062f\u0631\u0633 <a href=\"https:\/\/blog.tapestorage.ir\">https:\/\/blog.tapestorage.ir<\/a> \u0645\u0631\u0627\u062c\u0639\u0647 \u0641\u0631\u0645\u0627\u0626\u06cc\u062f .<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/tapestorage.net\/wp-content\/uploads\/2026\/05\/\u062f\u06cc\u062a\u0627\u0634\u06cc\u062a-Nvidia-HGX-H2001.docx\">\u0644\u06cc\u0646\u06a9 \u062f\u0627\u0646\u0644\u0648\u062f \u0646\u0633\u062e\u0647 \u0641\u0627\u0631\u0633\u06cc \u062f\u06cc\u062a\u0627\u0634\u06cc\u062a \u0645\u062d\u0635\u0648\u0644<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9\u00a0NVIDIA H200 NVL\u00a0\u06cc\u06a9\u06cc \u0627\u0632 \u062c\u062f\u06cc\u062f\u062a\u0631\u06cc\u0646 \u0634\u062a\u0627\u0628\u200c\u062f\u0647\u0646\u062f\u0647\u200c\u0647\u0627\u06cc \u062f\u0627\u062f\u0647\u200c\u0645\u062d\u0648\u0631 (Data Center GPU) \u0634\u0631\u06a9\u062a \u0627\u0646\u0648\u06cc\u062f\u06cc\u0627 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631 \u067e\u0627\u06cc\u0647 \u0645\u0639\u0645\u0627\u0631\u06cc 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