<script type="application/ld+json">{"@context":"http://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.simcentric.com/sc/"},{"@type":"ListItem","position":2,"name":"NVIDIA H200 NVL 性能与企业级 AI 能力解析","item":"https://www.simcentric.com/sc/hong-kong-dedicated-server-sc/nvidia-h200-nvl-performance-and-enterprise-ai-capabilities/"}]}</script> {"id":34129,"date":"2026-08-18T11:31:32","date_gmt":"2026-08-18T03:31:32","guid":{"rendered":"https:\/\/www.simcentric.com\/uncategorized-sc\/nvidia-h200-nvl-performance-and-enterprise-ai-capabilities\/"},"modified":"2026-08-18T11:37:15","modified_gmt":"2026-08-18T03:37:15","slug":"nvidia-h200-nvl-performance-and-enterprise-ai-capabilities","status":"publish","type":"post","link":"https:\/\/www.simcentric.com\/sc\/hong-kong-dedicated-server-sc\/nvidia-h200-nvl-performance-and-enterprise-ai-capabilities\/","title":{"rendered":"NVIDIA H200 NVL \u6027\u80fd\u4e0e\u4f01\u4e1a\u7ea7 AI \u80fd\u529b\u89e3\u6790"},"content":{"rendered":"<p>\u4f60\u53ef\u4ee5\u4f7f\u7528\u5168\u65b0\u7684 NVIDIA H200 NVL \u52a0\u901f\u5361\uff0c\u52a0\u901f\u590d\u6742\u7684 <a href=\"https:\/\/www.simcentric.com\/sc\/hong-kong-dedicated-server-sc\/trouble-with-ai-costs-strategies-for-saving-tokens-in-2026\/\" target=\"_blank\" rel=\"noopener\">AI \u548c HPC \u5de5\u4f5c\u8d1f\u8f7d<\/a>\u3002\u8fd9\u6b3e NVIDIA H200 NVL \u663e\u5361\u76f8\u6bd4\u4e0a\u4e00\u4ee3\u4ea7\u54c1\u53ef\u63d0\u4f9b\u9ad8\u8fbe 1.7 \u500d\u7684\u63a8\u7406\u6027\u80fd\u63d0\u5347\uff0c\u5e76\u4e3a HPC \u5e94\u7528\u5e26\u6765\u7ea6 1.3 \u500d\u7684\u9ad8\u6027\u80fd\u8ba1\u7b97\u901f\u5ea6\u63d0\u5347\u3002<\/p>\n<p>\u53cc\u69fd\u4f4d NVIDIA H200 \u5904\u7406\u5668\u914d\u5907 141GB HBM3e \u663e\u5b58\uff0c\u5e26\u5bbd\u9ad8\u8fbe 4.8 TB\/s\u3002\u4f60\u53ef\u4ee5\u5c06\u8fd9\u5957\u98ce\u51b7\u7684 NVIDIA NVL \u7cfb\u7edf\u90e8\u7f72\u5728\u6807\u51c6\u4f01\u4e1a\u7ea7\u673a\u67b6\u5f0f\u670d\u52a1\u5668\u4e2d\uff0c\u5305\u62ec <a href=\"https:\/\/www.simcentric.com\/sc\/products\/dedicated-server-hk\/\" target=\"_blank\" rel=\"noopener\">\u9999\u6e2f\u670d\u52a1\u5668<\/a> \u73af\u5883\u3002<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u89c4\u683c<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u8be6\u7ec6\u4fe1\u606f<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u663e\u5b58<\/td>\n<td colspan=\"1\" rowspan=\"1\">141GB HBM3e<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5e26\u5bbd<\/td>\n<td colspan=\"1\" rowspan=\"1\">4.8 TB\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u53e6\u4e00\u79cd NVIDIA H200 \u90e8\u7f72\u65b9\u5f0f\u53ef\u4ee5\u8fdb\u4e00\u6b65\u4f18\u5316\u901f\u5ea6\u3002\u6bcf\u4e00\u5757 H200 NVL \u5355\u5143\u642d\u914d NVIDIA NVL \u8f6f\u4ef6\uff0c\u80fd\u591f\u5904\u7406\u9ad8\u8d1f\u8f7d\u7684 NVIDIA AI \u4efb\u52a1\u3002\u4f60\u7684\u4f01\u4e1a\u5728\u4f7f\u7528 H200 NVL \u96c6\u7fa4\u65f6\uff0c\u53ef\u4ee5\u6301\u7eed\u4fdd\u6301\u9876\u7ea7 AI \u6027\u80fd\u3002\u5355\u5361 NVIDIA \u65b9\u6848\u5219\u4e3a\u4f01\u4e1a\u6269\u5bb9\u63d0\u4f9b\u4e86\u66f4\u7075\u6d3b\u7684\u4f38\u7f29\u8def\u5f84\u3002<\/p>\n<h2><strong>\u5173\u952e\u8981\u70b9<\/strong><\/h2>\n<ul>\n<li>NVIDIA H200 NVL \u4e3a\u590d\u6742\u4f01\u4e1a\u7ea7\u4efb\u52a1\u5e26\u6765\u6700\u9ad8\u8fbe 1.7 \u500d\u7684 AI \u6027\u80fd\u63d0\u5347\u3002<\/li>\n<li>\u8d85\u9ad8\u663e\u5b58\u5e26\u5bbd\u5728\u5927\u89c4\u6a21\u8ba1\u7b97\u4efb\u52a1\u4e2d\u6709\u6548\u6d88\u9664\u6570\u636e\u8bbf\u95ee\u5ef6\u8fdf\u3002<\/li>\n<li>\u4f60\u53ef\u4ee5\u8f7b\u677e\u5c06\u8fd9\u4e9b\u663e\u5361\u5b89\u88c5\u5728\u6807\u51c6\u98ce\u51b7\u673a\u67b6\u5f0f\u670d\u52a1\u5668\u4e2d\u3002<\/li>\n<li>\u6bcf\u9897 H200 NVL \u5904\u7406\u5668\u90fd\u5305\u542b 5 \u5e74\u4f01\u4e1a\u7ea7\u8f6f\u4ef6\u8ba2\u9605\uff0c\u7b80\u5316\u90e8\u7f72\u6d41\u7a0b\u3002<\/li>\n<\/ul>\n<h2><strong>NVIDIA H200 NVL \u67b6\u6784\u4e0e HBM3e \u663e\u5b58<\/strong><\/h2>\n<p>\u73b0\u4ee3\u6570\u636e\u4e2d\u5fc3\u786c\u4ef6\u9700\u8981\u5de8\u5927\u7684\u663e\u5b58\u5e26\u5bbd\uff0c\u624d\u80fd\u9ad8\u6548\u8fd0\u884c\u590d\u6742\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002\u7cfb\u7edf\u67b6\u6784\u5e08\u4f9d\u8d56\u5747\u8861\u7684\u786c\u4ef6\u62d3\u6251\u6765\u6269\u5c55\u5de5\u4f5c\u8d1f\u8f7d\u3002NVIDIA H200 NVL \u67b6\u6784\u5c06\u9ad8\u663e\u5b58\u5bb9\u91cf\u4e0e\u9ad8\u901f\u8ba1\u7b97\u5355\u5143\u76f8\u7ed3\u5408\uff0c\u4e3a\u5404\u7c7b NVIDIA \u4f01\u4e1a\u7ea7\u5de5\u4f5c\u8d1f\u8f7d\u63d0\u4f9b\u652f\u6301\u3002\u4f60\u53ef\u4ee5\u5728\u6807\u51c6\u4f01\u4e1a\u670d\u52a1\u5668\u4e2d\u90e8\u7f72\u8fd9\u6b3e NVL \u52a0\u901f\u5361\uff0c\u89e3\u51b3\u5927\u578b\u8ba1\u7b97\u4efb\u52a1\u4e2d\u7684\u663e\u5b58\u74f6\u9888\u95ee\u9898\u3002<\/p>\n<h3>\u663e\u5b58\u5e26\u5bbd\u4e0e\u541e\u5410\u63d0\u5347<\/h3>\n<p>NVL \u67b6\u6784\u4e3a\u4f60\u7684 NVIDIA \u7cfb\u7edf\u63d0\u4f9b 141GB HBM3e \u663e\u5b58\uff0c\u5de5\u4f5c\u901f\u7387\u53ef\u8fbe 4.8 TB\/s\u3002\u4e0e\u4e0a\u4e00\u4ee3 H100 SXM GPU \u76f8\u6bd4\uff0c\u8fd9\u4e00\u5e26\u5bbd\u63d0\u5347\u7ea6 43%\u3002\u56e0\u6b64\uff0c\u4f60\u7684\u4f01\u4e1a\u7cfb\u7edf\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u65f6\uff0c\u4e0d\u518d\u53d7\u5236\u4e8e\u4f20\u7edf DRAM \u8bbf\u95ee\u5ef6\u8fdf\u3002\u9ad8\u663e\u5b58\u5e26\u5bbd\u8ba9\u4f60\u80fd\u66f4\u5feb\u5b8c\u6210\u9ad8\u5f3a\u5ea6\u9ad8\u6027\u80fd\u8ba1\u7b97\u4efb\u52a1\u3002\u5f53\u957f\u5e8f\u5217\u8d1f\u8f7d\u4e2d\u663e\u5b58\u8bbf\u95ee\u6210\u4e3a\u4e3b\u5bfc\u65f6\uff0c\u66f4\u9ad8\u5e26\u5bbd\u53ef\u4ee5\u7ef4\u6301\u541e\u5410\u7a33\u5b9a\uff0c\u540c\u65f6\u63a7\u5236\u5ef6\u8fdf\u3002<\/p>\n<p>\u6269\u5c55\u7684\u663e\u5b58\u5bb9\u91cf\u53ef\u4ee5\u5c06\u6a21\u578b\u6743\u91cd\u5e38\u9a7b\u5728\u663e\u5361\u4e0a\uff0c\u4ece\u800c\u51cf\u5c11\u6267\u884c\u8fc7\u7a0b\u4e2d\u7684\u663e\u5b58\u6362\u5165\u6362\u51fa\u64cd\u4f5c\u3002\u5728\u540c\u4e00\u5757\u52a0\u901f\u5361\u4e0a\u5bb9\u7eb3\u591a\u8fbe\u6570\u767e\u4ebf\u53c2\u6570\uff0c\u53ef\u5728\u5e76\u53d1\u6a21\u578b\u63a8\u7406\u65f6\u907f\u514d\u9891\u7e41\u7f13\u5b58\u6296\u52a8\u3002<\/p>\n<p>\u4f60\u53ef\u4ee5\u901a\u8fc7\u5bf9\u6bd4\u591a\u4ee3\u4ea7\u54c1\u89c4\u683c\uff0c\u8bc4\u4f30\u786c\u4ef6\u5347\u7ea7\u5e26\u6765\u7684\u6539\u8fdb\uff1a<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 75px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">GPU<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u663e\u5b58\u5bb9\u91cf<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u663e\u5b58\u5e26\u5bbd<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">H200 NVL<\/td>\n<td colspan=\"1\" rowspan=\"1\">141 GB HBM3e<\/td>\n<td colspan=\"1\" rowspan=\"1\">4.8 TB\/s<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">H200 SXM<\/td>\n<td colspan=\"1\" rowspan=\"1\">141 GB HBM3e<\/td>\n<td colspan=\"1\" rowspan=\"1\">4.8 TB\/s<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">H100 SXM<\/td>\n<td colspan=\"1\" rowspan=\"1\">80 GB HBM3<\/td>\n<td colspan=\"1\" rowspan=\"1\">3.35 TB\/s<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">H100 NVL<\/td>\n<td colspan=\"1\" rowspan=\"1\">94 GB HBM3<\/td>\n<td colspan=\"1\" rowspan=\"1\">3.9 TB\/s<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">A100 40GB<\/td>\n<td colspan=\"1\" rowspan=\"1\">40 GB<\/td>\n<td colspan=\"1\" rowspan=\"1\">1,555 GB\/s<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">A100 80GB<\/td>\n<td colspan=\"1\" rowspan=\"1\">80 GB<\/td>\n<td colspan=\"1\" rowspan=\"1\">2,039 GB\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u8fd9\u5957\u663e\u5b58\u67b6\u6784\u76f4\u63a5\u7f13\u89e3\u4e86\u5927\u578b\u8bed\u8a00\u6a21\u578b\u63a8\u7406\u4e2d\u7684\u6570\u636e\u4f20\u8f93\u74f6\u9888\u3002\u5728\u4f20\u7edf A100 80GB \u7cfb\u7edf\u4e2d\uff0c\u6ce8\u610f\u529b\u8ba1\u7b97\u7ecf\u5e38\u56e0\u7b49\u5f85\u4e3b\u673a\u5185\u5b58\u4f20\u8f93\u800c\u505c\u987f\u3002\u5347\u7ea7\u540e\u7684 H200 \u663e\u5b58\u5b50\u7cfb\u7edf\u53ef\u4ee5\u5c06\u53c2\u6570\u548c KV Cache \u76f4\u63a5\u4fdd\u5b58\u5728\u82af\u7247\u4e0a\u3002\u56e0\u6b64\uff0c\u5728\u9ad8\u5e76\u53d1\u8bf7\u6c42\u573a\u666f\u4e0b\uff0c\u4f60\u7684\u90e8\u7f72\u4f9d\u7136\u80fd\u591f\u4fdd\u6301\u9ad8\u541e\u5410\u3002\u5148\u8fdb\u7684 NVIDIA H200 NVL \u786c\u4ef6\u8bbe\u8ba1\u52a0\u901f\u590d\u6742 AI \u6d41\u6c34\u7ebf\uff0c\u5e76\u5728\u6bcf\u4e00\u6b21\u7528\u6237\u8bf7\u6c42\u4e2d\u4fdd\u6301\u53ef\u9884\u6d4b\u7684\u5904\u7406\u5ef6\u8fdf\u3002<\/p>\n<h3>FP8 Transformer \u5f15\u64ce\u6027\u80fd<\/h3>\n<p>\u5185\u7f6e\u7684 Transformer \u5f15\u64ce\u5728\u4fdd\u6301\u5b8c\u6574\u6570\u5b66\u7cbe\u5ea6\u7684\u540c\u65f6\uff0c\u5927\u5e45\u63d0\u5347 Transformer \u6a21\u578b\u7684\u8fd0\u7b97\u6027\u80fd\u3002NVL \u5e73\u53f0\u80fd\u591f\u5728 E4M3 \u548c E5M2 \u683c\u5f0f\u4e4b\u95f4\u52a8\u6001\u5207\u6362\uff0c\u4ee5\u4f18\u5316\u8bad\u7ec3\u4e0e\u63a8\u7406\u6548\u679c\u3002\u5177\u4f53\u800c\u8a00\uff0cE4M3 \u66f4\u9002\u5408\u5904\u7406\u524d\u5411\u6fc0\u6d3b\uff0cE5M2 \u5219\u7528\u4e8e\u53cd\u5411\u4f20\u64ad\u4e2d\u7684\u68af\u5ea6\u8ba1\u7b97\u3002\u4e0e 16 \u4f4d\u6d6e\u70b9\u683c\u5f0f\u76f8\u6bd4\uff0c\u8fd9\u79cd\u52a8\u6001\u9009\u62e9\u53ef\u5c06\u53c2\u6570\u663e\u5b58\u5360\u7528\u51cf\u5c11\u4e00\u534a\u3002\u4f8b\u5982\uff0c\u5728 BF16 \u683c\u5f0f\u4e0b\uff0c\u4e00\u4e2a 671B \u53c2\u6570\u6a21\u578b\u5927\u7ea6\u9700\u8981 1.4 TB \u663e\u5b58\uff0c\u800c\u4f7f\u7528 FP8 \u540e\u4ec5\u9700\u7ea6 700 GB\u3002\u8fd9\u6837\uff0c\u4f60\u5728\u4e0d\u727a\u7272\u7cbe\u5ea6\u7684\u524d\u63d0\u4e0b\uff0c\u76f8\u5f53\u4e8e\u5c06\u6709\u6548\u7684 NVIDIA GPU \u663e\u5b58\u5bb9\u91cf\u7ffb\u500d\u3002<\/p>\n<p>\u501f\u52a9 FP8 \u8fd0\u7b97\uff0c\u73b0\u4ee3 H200 \u5e73\u53f0\u76f8\u8f83\u8001\u4e00\u4ee3 A100 GPU\uff0c\u53ef\u5b9e\u73b0\u7ea6 3 \u500d\u5230 4 \u500d\u7684\u541e\u5410\u63d0\u5347\u3002\u4f01\u4e1a\u96c6\u7fa4\u5728\u8bad\u7ec3\u548c\u670d\u52a1\u8d85\u5927\u578b\u751f\u6210\u5f0f AI \u5de5\u4f5c\u8d1f\u8f7d\u65f6\uff0c\u8fed\u4ee3\u5468\u671f\u663e\u8457\u7f29\u77ed\u3002\u4f60\u53ef\u4ee5\u9ad8\u6548\u8fd0\u884c\u82db\u523b\u7684 HPC \u5e94\u7528\uff0c\u56e0\u4e3a\u9ad8\u901f\u7684 NVIDIA Tensor Core \u4e0e 4.8 TB\/s \u5e26\u5bbd\u5f62\u6210\u826f\u597d\u4e92\u8865\u3002\u66f4\u4f4e\u7684\u663e\u5b58\u5360\u7528\u8ba9\u7cfb\u7edf\u80fd\u5728\u66f4\u5c11\u7684\u8282\u70b9\u4e0a\u5bb9\u7eb3\u66f4\u5927\u7684\u6a21\u578b\uff0c\u540c\u65f6\u63d0\u5347\u6574\u4f53\u7cfb\u7edf\u6027\u80fd\u3002\u8ba1\u7b97\u5355\u5143\u5728\u6574\u4e2a NVIDIA NVL \u96c6\u7fa4\u4e2d\u6301\u7eed\u8f93\u51fa\u5cf0\u503c\u6027\u80fd\uff0c\u4e3a\u5173\u952e NVIDIA AI \u4efb\u52a1\u63d0\u4f9b\u7a33\u5b9a\u7684\u6267\u884c\u80fd\u529b\u3002<\/p>\n<h2><strong>NVL \u4e92\u8054\u4e0e\u591a\u79df\u6237\u6269\u5c55<\/strong><\/h2>\n<p>\u4f01\u4e1a\u6570\u636e\u4e2d\u5fc3\u9700\u8981\u5728\u52a0\u901f\u5668\u4e4b\u95f4\u5b9e\u73b0\u9ad8\u901f\u4e92\u8054\uff0c\u624d\u80fd\u652f\u6491\u5f53\u4eca\u6a21\u578b\u89c4\u6a21\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u9009\u62e9\u5408\u9002\u7684\u786c\u4ef6\u4e92\u8054\u65b9\u6848\u548c\u591a\u79df\u6237\u5212\u5206\u7b56\u7565\uff0c\u5e73\u6ed1\u6269\u5c55\u4f60\u7684\u57fa\u7840\u8bbe\u65bd\u3002<\/p>\n<h3>NVL2 \u4e0e NVL4 \u6865\u63a5\u914d\u7f6e<\/h3>\n<p>NVIDIA H200 NVL \u786c\u4ef6\u91c7\u7528\u7b2c\u56db\u4ee3 NVLink \u6865\u63a5\u6280\u672f\uff0c\u5c06\u591a\u9897\u5904\u7406\u5668\u8fde\u63a5\u5728\u540c\u4e00\u53f0\u670d\u52a1\u5668\u8282\u70b9\u5185\u3002\u8be5\u6280\u672f\u4e3a GPU \u95f4\u76f4\u8fde\u901a\u4fe1\u63d0\u4f9b 900 GB\/s \u5e26\u5bbd\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u7cfb\u7edf\u5bc6\u5ea6\u9700\u6c42\uff0c\u5728 NVL2 \u4e0e NVL4 \u6865\u63a5\u914d\u7f6e\u4e4b\u95f4\u8fdb\u884c\u9009\u62e9\u3002\u56db\u8def NVL \u914d\u7f6e\u6700\u9ad8\u53ef\u63d0\u4f9b 1.8 TB\/s \u7684 NVLink \u603b\u5e26\u5bbd\uff0c\u8fd9\u4e00\u9ad8\u901f\u4e92\u8054\u80fd\u591f\u5728\u5927\u578b\u6a21\u578b\u8fd0\u884c\u8fc7\u7a0b\u4e2d\u5feb\u901f\u4f20\u9012\u5f20\u91cf\u53c2\u6570\u3002<\/p>\n<p>\u5f53\u4f60\u5c06\u663e\u5361\u6210\u5bf9\u90e8\u7f72\u5728\u540c\u4e00 CPU \u63d2\u69fd\u4e0b\u65f6\uff0c\u53ef\u83b7\u5f97\u6700\u4f73\u6027\u80fd\u3002\u5982\u679c\u670d\u52a1\u5668\u5e03\u5c40\u6709\u9700\u8981\uff0c\u4e5f\u53ef\u4ee5\u5c06\u4e0d\u540c CPU \u63d2\u69fd\u4e0b\u7684\u663e\u5361\u8fdb\u884c\u6865\u63a5\u3002\u670d\u52a1\u5668\u5185\u90e8\u7684\u9ad8\u5e26\u5bbd Scale-Up \u94fe\u8def\u8ba9\u6570\u636e\u4ea4\u6362\u7a81\u7834\u6807\u51c6 PCIe \u9650\u5236\u3002\u5bf9\u4e8e Scale-Out \u57fa\u7840\u8bbe\u65bd\uff0c\u4e00\u79cd\u4f01\u4e1a\u7ea7\u53c2\u8003\u67b6\u6784\u4f1a\u5c06\u591a\u8fbe 8 \u5757 GPU \u4e0e 5 \u5f20\u7f51\u5361\u914d\u5bf9\uff0c\u5e76\u4e3a\u6bcf\u5757 GPU \u63d0\u4f9b 200GbE \u7f51\u7edc\u5e26\u5bbd\u3002\u8fd9\u6837\u7684\u8bbe\u8ba1\u80fd\u591f\u5904\u7406\u7e41\u91cd\u7684 HPC \u4efb\u52a1\u548c\u8de8\u8282\u70b9\u7684\u5927\u89c4\u6a21\u4e1c\u897f\u5411\u6d41\u91cf\u3002<\/p>\n<ul>\n<li>NVL4 \u914d\u7f6e\uff1a4 \u5757 GPU \u95f4\u6700\u9ad8 1.8 TB\/s \u603b\u5e26\u5bbd<\/li>\n<li>NVL2 \u914d\u7f6e\uff1a\u4e24\u5757 GPU \u4e4b\u95f4\u7684\u76f4\u63a5\u6865\u63a5\u65b9\u6848<\/li>\n<li>\u4e92\u8054\u80fd\u529b\uff1a\u7b2c\u56db\u4ee3 NVLink\uff0c\u5355\u5411\u5e26\u5bbd 900 GB\/s<\/li>\n<\/ul>\n<h3>\u591a\u5b9e\u4f8b GPU (MIG) \u5de5\u4f5c\u8d1f\u8f7d\u9694\u79bb<\/h3>\n<p>\u591a\u5b9e\u4f8b GPU \u6280\u672f\u53ef\u4ee5\u5c06\u5355\u5757\u7269\u7406 GPU \u5212\u5206\u4e3a\u591a\u4e2a\u5b8c\u5168\u9694\u79bb\u7684\u5206\u533a\u3002H200 \u5e73\u53f0\u6bcf\u5f20\u5361\u6700\u591a\u652f\u6301 7 \u4e2a\u786c\u4ef6\u5b9e\u4f8b\u3002\u6bcf\u4e2a\u9694\u79bb\u5b9e\u4f8b\u90fd\u62e5\u6709\u72ec\u7acb\u7684\u663e\u5b58\u4e0e\u8ba1\u7b97\u8d44\u6e90\uff0c\u4ece\u800c\u4e3a\u5e76\u53d1\u7528\u6237\u63d0\u4f9b\u53ef\u9884\u6d4b\u7684 AI \u5904\u7406\u901f\u5ea6\u3002<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 100px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">H200 NVL MIG \u573a\u666f<\/th>\n<th colspan=\"1\" rowspan=\"1\">MIG \u914d\u7f6e<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u9694\u79bb\u5b9e\u4f8b\u6570\u91cf<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u6bcf\u5b9e\u4f8b\u663e\u5b58<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6700\u9ad8\u5bc6\u5ea6<\/td>\n<td colspan=\"1\" rowspan=\"1\">1g.18gb<\/td>\n<td colspan=\"1\" rowspan=\"1\">7<\/td>\n<td colspan=\"1\" rowspan=\"1\">18 GB<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u4e2d\u7b49\u89c4\u6a21\u6a21\u578b<\/td>\n<td colspan=\"1\" rowspan=\"1\">2g.36gb<\/td>\n<td colspan=\"1\" rowspan=\"1\">3<\/td>\n<td colspan=\"1\" rowspan=\"1\">36 GB<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5927\u578b\u5355\u5206\u533a<\/td>\n<td colspan=\"1\" rowspan=\"1\">3g.42gb<\/td>\n<td colspan=\"1\" rowspan=\"1\">1<\/td>\n<td colspan=\"1\" rowspan=\"1\">42 GB<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4e0d\u540c\u914d\u7f6e\u53ef\u4ee5\u5339\u914d\u591a\u79cd\u4f01\u4e1a\u9700\u6c42\u3002\u4f60\u53ef\u4ee5\u9009\u62e9\u9ad8\u5bc6\u5ea6\u591a\u79df\u6237\u65b9\u6848\uff0c\u4e3a\u6bcf\u4e2a\u5206\u533a\u63d0\u4f9b\u7ea6 20GB \u5185\u5b58\uff1b\u4e5f\u53ef\u4ee5\u9009\u62e9\u5e26\u53ef\u4fe1\u6267\u884c\u73af\u5883\u7684\u5408\u89c4\u591a\u79df\u6237\u65b9\u6848\uff0c\u4e3a\u6bcf\u4e2a\u5b9e\u4f8b\u63d0\u4f9b 18GB \u5185\u5b58\u3002\u8fd9\u79cd\u7075\u6d3b\u6027\u8ba9\u4f60\u80fd\u591f\u5728\u540c\u4e00\u5e73\u53f0\u4e0a\u540c\u65f6\u8fd0\u884c\u5c0f\u578b AI \u5de5\u4f5c\u8d1f\u8f7d\u4e0e\u91cd\u578b\u4f01\u4e1a\u63a8\u7406\u4efb\u52a1\uff0c\u5728\u4e25\u683c\u7684\u6570\u636e\u9694\u79bb\u524d\u63d0\u4e0b\u6700\u5927\u5316\u786c\u4ef6\u5229\u7528\u7387\u3002<\/p>\n<h2><strong>\u4f01\u4e1a\u7ea7 AI \u80fd\u529b\u4e0e\u8f6f\u4ef6\u5e73\u53f0<\/strong><\/h2>\n<p>\u90e8\u7f72\u73b0\u4ee3 GPU \u786c\u4ef6\u79bb\u4e0d\u5f00\u5b8c\u5584\u7684\u8f6f\u4ef6\u96c6\u6210\u3002\u4f60\u5728\u8d2d\u4e70\u786c\u4ef6\u7684\u540c\u65f6\uff0c\u4e5f\u4f1a\u83b7\u5f97\u4e00\u6574\u5957\u9762\u5411\u751f\u4ea7\u73af\u5883\u7684 AI \u8f6f\u4ef6\u5e73\u53f0\u3002<\/p>\n<h3>NVIDIA AI Enterprise \u8bb8\u53ef\u8bc1\u6fc0\u6d3b<\/h3>\n<p>\u6bcf\u4e00\u5957 NVIDIA H200 NVL \u90e8\u7f72\u90fd\u5305\u542b 5 \u5e74\u7684\u8f6f\u4ef6\u8ba2\u9605\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7 NGC \u63a7\u5236\u53f0\uff0c\u4f7f\u7528 GPU \u677f\u5361\u5e8f\u5217\u53f7\u6fc0\u6d3b\u8be5\u8bb8\u53ef\u8bc1\u3002\u5b8c\u6210\u6fc0\u6d3b\u540e\uff0c\u4f60\u5c06\u7acb\u5373\u83b7\u5f97\u4f01\u4e1a\u7ea7\u5de5\u5177\u3001\u5b89\u5168\u8865\u4e01\u4ee5\u53ca\u957f\u671f\u652f\u6301\u7248\u672c\u3002\u4f60\u53ef\u4ee5\u5728\u7ecf\u8fc7\u8ba4\u8bc1\u7684\u670d\u52a1\u5668\u5e73\u53f0\u4e0a\u76f4\u63a5\u5b89\u88c5\u8fd9\u5957\u8f6f\u4ef6\u5957\u4ef6\u3002<\/p>\n<p>\u8fd9\u9879\u8ba2\u9605\u5927\u5e45\u7b80\u5316\u4e86\u6570\u636e\u4e2d\u5fc3\u7684\u8f6f\u4ef6\u6808\u90e8\u7f72\u3002\u4f60\u5c06\u83b7\u5f97 NVIDIA Business Standard Support\uff0c\u652f\u6301 7\u00d724 \u5c0f\u65f6\u63d0\u4ea4\u6280\u672f\u5de5\u5355\uff0c\u5e76\u4eab\u53d7\u6709\u4fdd\u969c\u7684\u54cd\u5e94\u65f6\u95f4\u3002\u8be5\u5e73\u53f0\u5185\u7f6e\u5305\u62ec PyTorch\u3001Triton Inference Server \u5728\u5185\u7684\u591a\u79cd\u6846\u67b6\u3002<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">H200 \u4f01\u4e1a\u8f6f\u4ef6<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u8be6\u7ec6\u4fe1\u606f<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u8ba2\u9605\u5185\u5bb9<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5305\u542b 5 \u5e74\u8f6f\u4ef6\u8bb8\u53ef\u8bc1<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6fc0\u6d3b\u5e73\u53f0<\/td>\n<td colspan=\"1\" rowspan=\"1\">NVIDIA NGC \u95e8\u6237<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6807\u51c6\u652f\u6301<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5de5\u4f5c\u65f6\u95f4\u6280\u672f\u652f\u6301\u8986\u76d6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h3>\u901a\u8fc7 NIM \u5fae\u670d\u52a1\u7b80\u5316\u5de5\u4f5c\u8d1f\u8f7d<\/h3>\n<p>NVIDIA NIM \u5fae\u670d\u52a1\u53ef\u4ee5\u5c06\u9884\u8bad\u7ec3\u6a21\u578b\u5c01\u88c5\u4e3a\u5f00\u7bb1\u5373\u7528\u7684\u5bb9\u5668\u3002\u4f60\u53ef\u4ee5\u5728\u52a0\u901f\u670d\u52a1\u5668\u4e0a\u7528\u4e0d\u5230 5 \u5206\u949f\u7684\u65f6\u95f4\u542f\u52a8\u4e00\u5957\u4f18\u5316\u540e\u7684\u63a8\u7406\u670d\u52a1\u3002\u8fd9\u4e9b\u5bb9\u5668\u5316\u5de5\u5177\u80fd\u591f\u8fd0\u884c\u5728 Kubernetes \u6216\u88f8\u673a\u73af\u5883\u4e2d\u3002\u5f00\u53d1\u8005\u53ea\u9700\u4f7f\u7528\u6807\u51c6 API\uff0c\u5373\u53ef\u5c06\u8fd9\u4e9b\u670d\u52a1\u76f4\u63a5\u8fde\u63a5\u5230\u4f01\u4e1a\u5185\u90e8\u7684\u751f\u6210\u5f0f\u5e94\u7528\u3002<\/p>\n<ol>\n<li>\u4ece NGC \u4e2d\u9009\u62e9\u4f18\u5316\u597d\u7684 AI \u6a21\u578b\u5bb9\u5668\u3002<\/li>\n<li>\u5728\u4f60\u7684 NVL \u8282\u70b9\u4e0a\u90e8\u7f72 NIM \u5bb9\u5668\u3002<\/li>\n<li>\u4f7f\u7528\u6807\u51c6 API \u5c06\u4f01\u4e1a\u5de5\u4f5c\u6d41\u7a0b\u4e0e\u8fd9\u4e9b\u670d\u52a1\u5bf9\u63a5\u3002<\/li>\n<\/ol>\n<p>\u501f\u52a9 NIM \u5fae\u670d\u52a1\uff0c\u4f60\u53ef\u4ee5\u663e\u8457\u7f29\u77ed\u4ece\u539f\u578b\u5230\u4e0a\u7ebf\u7684\u5468\u671f\u3002\u9ad8\u663e\u5b58\u5e26\u5bbd\u5728\u5bc6\u96c6\u6a21\u578b\u63a8\u7406\u65f6\u63d0\u4f9b\u53ef\u9760\u7684\u7cfb\u7edf\u6027\u80fd\u4fdd\u969c\u3002\u8be5\u5e73\u53f0\u53ef\u4ee5\u8ba9\u4f01\u4e1a\u654f\u611f\u6570\u636e\u4fdd\u7559\u5728\u672c\u5730\u73af\u5883\u4e2d\uff0c\u5b9e\u73b0\u5b89\u5168\u5408\u89c4\u3002\u4f60\u8fd8\u53ef\u4ee5\u5728\u6574\u4e2a\u4f01\u4e1a AI \u57fa\u7840\u8bbe\u65bd\u4e2d\u5e73\u6ed1\u6269\u5c55\u5de5\u4f5c\u8d1f\u8f7d\u3002<\/p>\n<ul>\n<li>\u5feb\u901f\u90e8\u7f72\uff1a\u5bb9\u5668\u542f\u52a8\u65f6\u95f4\u4e0d\u8d85\u8fc7 5 \u5206\u949f\u3002<\/li>\n<li>\u751f\u4ea7\u7a33\u5b9a\uff1a\u957f\u671f\u7ef4\u62a4\u5206\u652f\u4fdd\u8bc1 API \u884c\u4e3a\u4e00\u81f4\u3002<\/li>\n<li>\u9ad8\u53ef\u6269\u5c55\uff1a\u81ea\u52a8\u5316\u90e8\u7f72\u9002\u7528\u4e8e\u6df7\u5408\u4e91\u73af\u5883\u3002<\/li>\n<\/ul>\n<p>\u6574\u5957\u8f6f\u4ef6\u6808\u53ef\u4ee5\u6700\u5927\u5316 NVL \u786c\u4ef6\u5229\u7528\u6548\u7387\u3002\u4f60\u7684\u4e1a\u52a1\u5728\u4fdd\u6301\u9ad8\u63a8\u7406\u6027\u80fd\u7684\u540c\u65f6\uff0c\u4e5f\u80fd\u7ef4\u62a4\u6570\u636e\u9690\u79c1\u3002\u5148\u8fdb\u7684\u7ba1\u7406\u5de5\u5177\u786e\u4fdd NVL \u5728\u4f01\u4e1a\u5404\u7c7b\u5de5\u4f5c\u8d1f\u8f7d\u4e2d\u7a33\u5b9a\u8fd0\u884c\u3002\u73b0\u4ee3 H200 \u52a0\u901f\u80fd\u529b\u8ba9\u4f60\u7684\u4f01\u4e1a\u5728\u5173\u952e\u8f6f\u4ef6\u7cfb\u7edf\u4e0a\u83b7\u5f97\u5145\u8db3\u7684\u638c\u63a7\u529b\u3002<\/p>\n<h2><strong>\u5728\u4f01\u4e1a\u6570\u636e\u4e2d\u5fc3\u90e8\u7f72 H200 \u7cfb\u7edf<\/strong><\/h2>\n<p>\u90e8\u7f72 H200 NVL \u57fa\u7840\u8bbe\u65bd\uff0c\u80fd\u591f\u5728\u65e0\u9700\u5b89\u88c5\u6602\u8d35\u6db2\u51b7\u7cfb\u7edf\u7684\u60c5\u51b5\u4e0b\u5347\u7ea7\u73b0\u6709\u673a\u623f\u3002\u4f60\u53ef\u4ee5\u76f4\u63a5\u5c06\u8fd9\u4e9b\u663e\u5361\u5b89\u88c5\u5230\u6807\u51c6\u673a\u67b6\u5f0f\u670d\u52a1\u5668\u4e2d\u3002<\/p>\n<h3>\u98ce\u51b7\u57fa\u7840\u8bbe\u65bd\u96c6\u6210<\/h3>\n<p>\u90e8\u7f72 H200 NVL \u786c\u4ef6\u53ef\u4ee5\u964d\u4f4e\u4f60\u7684\u521d\u59cb\u8d44\u672c\u5f00\u652f\u3002\u4f60\u53ea\u9700\u628a\u8fd9\u4e9b\u53cc\u69fd\u4f4d PCIe \u663e\u5361\u76f4\u63a5\u63d2\u5165\u5e38\u89c1\u7684\u98ce\u51b7 OEM \u670d\u52a1\u5668\u4e2d\u3002\u5355\u5361\u7684\u70ed\u8bbe\u8ba1\u529f\u8017\u4e3a 600W\u3002\u8fd9\u79cd\u98ce\u51b7\u8bbe\u8ba1\u9002\u7528\u4e8e\u7ea6 70% \u7684\u6807\u51c6\u6570\u636e\u4e2d\u5fc3\u673a\u67b6\uff0c\u673a\u67dc\u529f\u8017\u5728 20kW \u53ca\u4ee5\u4e0b\u3002\u56e0\u6b64\uff0c\u4f60\u53ef\u4ee5\u907f\u514d\u6602\u8d35\u7684\u51b7\u5374\u6539\u9020\u548c\u9ad8\u5bc6\u5ea6\u4f9b\u7535\u5347\u7ea7\u3002<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 75px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u90e8\u7f72\u56e0\u7d20<\/th>\n<th colspan=\"1\" rowspan=\"1\">NVIDIA H200 NVL<\/th>\n<th colspan=\"1\" rowspan=\"1\">NVIDIA H100 SXM5<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u529f\u8017\u8303\u56f4<\/td>\n<td colspan=\"1\" rowspan=\"1\">600W<\/td>\n<td colspan=\"1\" rowspan=\"1\">700W<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6563\u70ed\u65b9\u5f0f<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u98ce\u51b7<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u901a\u5e38\u4e3a\u6db2\u51b7<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5f62\u6001\u89c4\u683c<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u53cc\u69fd\u4f4d PCIe \u663e\u5361<\/td>\n<td colspan=\"1\" rowspan=\"1\">SXM5 \u6a21\u7ec4<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u670d\u52a1\u5668\u5e03\u5c40<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u9002\u914d\u6807\u51c6\u98ce\u51b7\u670d\u52a1\u5668<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u9700\u8981\u5b9a\u5236\u4e3b\u677f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u8fd9\u79cd\u7075\u6d3b\u7684\u5f62\u6001\u8ba9\u4f60\u53ef\u4ee5\u6309\u9700\u589e\u91cf\u6269\u5c55\u7b97\u529b\u8282\u70b9\u3002\u4f60\u53ef\u4ee5\u5728\u5355\u53f0\u670d\u52a1\u5668\u4e2d\u5b89\u88c5 1\u30012\u30014 \u6216 8 \u5757 GPU\u3002\u5c0f\u89c4\u6a21\u90e8\u7f72\u540c\u6837\u80fd\u591f\u4e3a\u4f01\u4e1a\u5e94\u7528\u63d0\u4f9b\u7a33\u5b9a\u7684\u9ad8\u6027\u80fd\u8ba1\u7b97\u901f\u5ea6\u3002\u4f60\u53ef\u4ee5\u5728\u673a\u623f\u5185\u7684\u6bcf\u4e2a\u98ce\u51b7\u8282\u70b9\u4e0a\u6301\u7eed\u83b7\u5f97\u53ef\u9760\u7684\u6027\u80fd\u8868\u73b0\u3002<\/p>\n<h3>\u7ed3\u5408 Spectrum-X \u4e0e GPUDirect \u7684\u7f51\u7edc\u67b6\u6784<\/h3>\n<p>\u5f53\u4f60\u4e3a\u96c6\u7fa4\u642d\u914d NVIDIA Spectrum-X \u4ee5\u592a\u7f51\u4ea4\u6362\u673a\u65f6\uff0c\u53ef\u4ee5\u663e\u8457\u4f18\u5316\u670d\u52a1\u5668\u4e4b\u95f4\u7684\u4e1c\u897f\u5411\u8ba1\u7b97\u6d41\u91cf\u3002\u8fd9\u4e00\u7f51\u7edc\u5c42\u5728\u591a\u8282\u70b9\u6a21\u578b\u8fd0\u884c\u8fc7\u7a0b\u4e2d\u51cf\u5c11\u901a\u4fe1\u74f6\u9888\u3002\u540c\u65f6\uff0cNVIDIA BlueField DPU \u8d1f\u8d23\u7ba1\u7406\u5357\u5317\u5411\u6d41\u91cf\uff0c\u4ee5\u4fdd\u62a4\u7528\u6237\u6570\u636e\u4f20\u8f93\u5b89\u5168\uff0c\u4ece\u800c\u907f\u514d\u5916\u90e8\u6587\u4ef6\u8bbf\u95ee\u62d6\u6162\u6838\u5fc3 AI \u8ba1\u7b97\u6d41\u7a0b\u3002<\/p>\n<ul>\n<li>Spectrum-X \u4ee5\u592a\u7f51\u4ea4\u6362\u673a\u4f18\u5316 NVL \u8ba1\u7b97\u8282\u70b9\u4e4b\u95f4\u7684\u5927\u5e26\u5bbd\u6570\u636e\u6d41\u3002<\/li>\n<li>BlueField DPU \u9694\u79bb\u5916\u90e8\u6570\u636e\u63a5\u5165\u4e0e\u5b58\u50a8\u8bbf\u95ee\u6d41\u91cf\u3002<\/li>\n<li>GPUDirect RDMA \u5141\u8bb8\u8de8\u670d\u52a1\u5668\u7684 GPU \u4e4b\u95f4\u8fdb\u884c\u76f4\u63a5\u5185\u5b58\u5230\u5185\u5b58\u4f20\u8f93\u3002<\/li>\n<\/ul>\n<p>GPUDirect \u5b58\u50a8\u901a\u9053\u53ef\u4ee5\u5c06\u9ad8\u901f NVMe \u5b58\u50a8\u76f4\u63a5\u8fde\u63a5\u5230 NVL \u7684\u9ad8\u5e26\u5bbd\u663e\u5b58\u3002\u901a\u8fc7\u7ed5\u8fc7\u4e3b\u673a CPU\uff0cGPUDirect RDMA \u6d88\u9664\u4e86\u6570\u636e\u4f20\u8f93\u5ef6\u8fdf\u3002\u8fd9\u4e9b\u9ad8\u901f\u7f51\u7edc\u8def\u5f84\u53ef\u4ee5\u4e3a\u82db\u523b\u7684 HPC \u5e94\u7528\u63d0\u4f9b\u5feb\u901f\u6570\u636e\u8bbf\u95ee\u80fd\u529b\u3002\u4f60\u7684\u591a\u8282\u70b9\u96c6\u7fa4\u5728\u5904\u7406\u91cd\u8f7d\u7684\u4f01\u4e1a\u7ea7\u751f\u6210\u5f0f\u5de5\u4f5c\u8d1f\u8f7d\u65f6\uff0c\u4ecd\u80fd\u5b9e\u73b0\u8fd1\u4e4e\u7ebf\u6027\u7684\u6269\u5c55\u6027\u80fd\u3002<\/p>\n<div class=\"qc-divider-wrapper\">\n<div class=\"qc-divider\" style=\"border-top-style: solid; width: 100%; border-top-color: #d1d1d1;\"><\/div>\n<\/div>\n<p>NVIDIA H200 NVL \u5c06 HBM3e \u7684\u9ad8\u901f\u5e26\u5bbd\u4e0e\u9762\u5411\u4f01\u4e1a\u7ea7 NVL \u670d\u52a1\u5668\u7684\u98ce\u51b7\u517c\u5bb9\u6027\u7ed3\u5408\u5728\u4e00\u8d77\u3002\u4f60\u53ef\u4ee5\u5728\u65e0\u9700\u5347\u7ea7\u51b7\u5374\u7cfb\u7edf\u7684\u60c5\u51b5\u4e0b\uff0c\u901a\u8fc7\u8fd9\u5957 NVIDIA H200 NVL \u65b9\u6848\u663e\u8457\u63d0\u5347\u6574\u4f53\u6027\u80fd\u3002<\/p>\n<p>\u90e8\u7f72\u8fd9\u6b3e NVL \u663e\u5361\u6709\u52a9\u4e8e\u964d\u4f4e\u603b\u4f53\u62e5\u6709\u6210\u672c\u3002\u8054\u60f3\u7684\u6d4b\u8bd5\u62a5\u544a\u663e\u793a\uff0c\u76f8\u6bd4\u4f20\u7edf NVIDIA \u786c\u4ef6\uff0c\u53ef\u5b9e\u73b0\u6700\u9ad8 4 \u500d\u7684\u6210\u672c\u8282\u7701\u3002\u6bcf\u4e00\u9897 H200 \u5355\u5143\u90fd\u5305\u542b 5 \u5e74 NVIDIA AI Enterprise \u8ba2\u9605\uff0c\u6301\u7eed\u7684\u8f6f\u4ef6\u66f4\u65b0\u53ef\u4ee5\u5728\u4f60\u7684 NVL \u96c6\u7fa4\u4e2d\u7b80\u5316\u9ad8\u6027\u80fd\u8ba1\u7b97\u5de5\u4f5c\u8d1f\u8f7d\u7684\u7ba1\u7406\u3002<\/p>\n<p>IT \u67b6\u6784\u5e08\u5728\u8fdb\u884c\u4f01\u4e1a\u7ea7 AI \u90e8\u7f72\u65f6\uff0c\u5e94\u53c2\u8003 NVIDIA \u7684\u53c2\u8003\u67b6\u6784\u3002\u4f60\u53ef\u4ee5\u5728\u6bcf\u53f0 NVL \u670d\u52a1\u5668\u4e0a\u4f7f\u7528\u4f18\u5316\u8fc7\u7684 H200 NVL \u7cfb\u7edf\u8fd0\u884c NVIDIA AI \u5e94\u7528\u3002\u8fd9\u5957\u4f01\u4e1a\u7ea7 NVIDIA H200 AI \u90e8\u7f72\u53ef\u4e3a\u4f60\u5e26\u6765 1.7 \u500d\u66f4\u5feb\u7684 LLM \u63a8\u7406\u901f\u5ea6\u548c\u7ea6 1.3 \u500d\u66f4\u9ad8\u7684 HPC \u6027\u80fd\u3002<\/p>\n<h2><strong>\u5e38\u89c1\u95ee\u9898\uff08FAQ\uff09<\/strong><\/h2>\n<h3>NVIDIA H200 NVL \u5728 LLM \u573a\u666f\u4e0b\u80fd\u5e26\u6765\u591a\u5927\u6027\u80fd\u63d0\u5347\uff1f<\/h3>\n<p>\u4e0e\u65e7\u4e00\u4ee3\u4ea7\u54c1\u76f8\u6bd4\uff0c\u4f7f\u7528 H200 NVL \u663e\u5361\u53ef\u4ee5\u5b9e\u73b0\u6700\u9ad8\u7ea6 1.7 \u500d\u7684 LLM \u63a8\u7406\u6027\u80fd\u63d0\u5347\u3002141GB HBM3e \u663e\u5b58\u63d0\u4f9b 4.8 TB\/s \u5e26\u5bbd\uff0c\u8fd9\u4e00\u5de8\u5927\u7684\u663e\u5b58\u901f\u5ea6\u53ef\u4ee5\u5728\u5904\u7406\u590d\u6742\u4f01\u4e1a\u7ea7 AI \u5de5\u4f5c\u8d1f\u8f7d\u65f6\u4fdd\u6301\u6570\u636e\u9ad8\u901f\u6d41\u52a8\uff0c\u907f\u514d\u51fa\u73b0\u74f6\u9888\u3002<\/p>\n<h3>\u80fd\u5426\u5c06 H200 NVL \u5b89\u88c5\u5230\u6807\u51c6\u98ce\u51b7\u673a\u67b6\u5f0f\u670d\u52a1\u5668\u4e2d\uff1f<\/h3>\n<p>\u53ef\u4ee5\uff0c\u4f60\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u5c06\u8fd9\u6b3e\u53cc\u69fd\u4f4d PCIe \u663e\u5361\u96c6\u6210\u5230\u6807\u51c6\u4f01\u4e1a\u7ea7\u98ce\u51b7\u670d\u52a1\u5668\u4e2d\u3002\u8be5\u52a0\u901f\u5361\u7684\u70ed\u8bbe\u8ba1\u529f\u8017\u4e3a 600W\u3002\u8fd9\u4e00\u8bbe\u8ba1\u8ba9\u4f01\u4e1a\u5728\u5347\u7ea7\u73b0\u6709\u57fa\u7840\u8bbe\u65bd\u65f6\uff0c\u65e0\u9700\u6295\u5165\u6602\u8d35\u7684\u6db2\u51b7\u7cfb\u7edf\u3002<\/p>\n<h3>NVIDIA H200 NVL \u52a0\u901f\u5361\u968f\u9644\u54ea\u4e9b\u8f6f\u4ef6\u80fd\u529b\uff1f<\/h3>\n<p>\u6bcf\u5757\u663e\u5361\u90fd\u5305\u542b\u4e00\u4efd\u4e3a\u671f 5 \u5e74\u7684 NVIDIA AI Enterprise \u8f6f\u4ef6\u8ba2\u9605\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7 NGC \u95e8\u6237\u6fc0\u6d3b\u8bb8\u53ef\u8bc1\u3002\u8be5\u5e73\u53f0\u63d0\u4f9b NIM \u5fae\u670d\u52a1\u6765\u52a0\u901f\u90e8\u7f72\uff0c\u540c\u65f6\u901a\u8fc7\u6301\u7eed\u66f4\u65b0\uff0c\u786e\u4fdd\u4f60\u7684\u4f01\u4e1a\u7f51\u7edc\u5728\u751f\u4ea7\u73af\u5883\u4e2d\u4fdd\u6301\u7a33\u5b9a\u53ef\u9760\u3002<\/p>\n<h3>NVLink \u5982\u4f55\u5728\u591a\u8282\u70b9\u4e4b\u95f4\u6269\u5c55\u591a GPU \u5de5\u4f5c\u8d1f\u8f7d\uff1f<\/h3>\n<p>\u7b2c\u56db\u4ee3 NVLink \u6865\u63a5\u6280\u672f\u5728\u8282\u70b9\u5185\u90e8\u8fde\u63a5\u591a\u5757\u663e\u5361\uff0c\u4e3a\u5176\u63d0\u4f9b 900 GB\/s \u7684\u76f4\u8fde\u5e26\u5bbd\u3002NVL4 \u6865\u63a5\u914d\u7f6e\u7684\u603b\u5e26\u5bbd\u6700\u9ad8\u53ef\u8fbe 1.8 TB\/s\u3002\u8fd9\u4e00\u9ad8\u901f\u4e92\u8fde\u5728\u4f60\u7684\u6574\u4e2a NVL \u96c6\u7fa4\u4e2d\uff0c\u4e3a\u9ad8\u5f3a\u5ea6 HPC \u5e94\u7528\u548c\u590d\u6742\u8ba1\u7b97\u4efb\u52a1\u63d0\u4f9b\u5f3a\u52b2\u52a0\u901f\u80fd\u529b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4f60\u53ef\u4ee5\u4f7f\u7528\u5168\u65b0\u7684 NVIDIA H200 NVL \u52a0\u901f\u5361\uff0c\u52a0\u901f\u590d\u6742\u7684 AI \u548c HPC \u5de5\u4f5c\u8d1f\u8f7d\u3002\u8fd9\u6b3e NVIDIA H200 NVL \u663e\u5361\u76f8\u6bd4\u4e0a\u4e00\u4ee3\u4ea7\u54c1\u53ef\u63d0\u4f9b\u9ad8\u8fbe 1.7 \u500d\u7684\u63a8\u7406\u6027\u80fd\u63d0\u5347\uff0c\u5e76\u4e3a HPC \u5e94\u7528\u5e26\u6765\u7ea6 1.3 \u500d\u7684\u9ad8\u6027\u80fd\u8ba1\u7b97\u901f\u5ea6\u63d0\u5347\u3002 \u53cc\u69fd\u4f4d NVIDIA H200 \u5904\u7406\u5668\u914d\u5907 141GB HBM3e \u663e\u5b58\uff0c\u5e26\u5bbd\u9ad8\u8fbe 4.8 TB\/s\u3002\u4f60\u53ef\u4ee5\u5c06\u8fd9\u5957\u98ce\u51b7\u7684 NVIDIA NVL \u7cfb\u7edf\u90e8\u7f72\u5728\u6807\u51c6\u4f01\u4e1a\u7ea7\u673a\u67b6\u5f0f\u670d\u52a1\u5668\u4e2d\uff0c\u5305\u62ec \u9999\u6e2f\u670d\u52a1\u5668 \u73af\u5883\u3002 \u89c4\u683c \u8be6\u7ec6\u4fe1\u606f \u663e\u5b58 141GB HBM3e \u5e26\u5bbd 4.8 TB\/s \u53e6\u4e00\u79cd NVIDIA H200 \u90e8\u7f72\u65b9\u5f0f\u53ef\u4ee5\u8fdb\u4e00\u6b65\u4f18\u5316\u901f\u5ea6\u3002\u6bcf\u4e00\u5757 H200 NVL \u5355\u5143\u642d\u914d NVIDIA NVL \u8f6f\u4ef6\uff0c\u80fd\u591f\u5904\u7406\u9ad8\u8d1f\u8f7d\u7684 NVIDIA AI \u4efb\u52a1\u3002\u4f60\u7684\u4f01\u4e1a\u5728\u4f7f\u7528 H200 [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/www.simcentric.com\/sc\/hong-kong-dedicated-server-sc\/nvidia-h200-nvl-performance-and-enterprise-ai-capabilities\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":2,"featured_media":34126,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[62],"tags":[12866,12867,12868,12869,12870],"class_list":["post-34129","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hong-kong-dedicated-server-sc","tag-nvidia-h200-nvl","tag-h200-nvl-performance","tag-enterprise-ai-gpu","tag-hbm3e-memory","tag-nvlink-nvl-server"],"acf":[],"yoast_head":"<!-- This site is optimized with 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