{"id":24527,"date":"2025-09-10T14:10:35","date_gmt":"2025-09-10T06:10:35","guid":{"rendered":"https:\/\/www.varidata.com\/uncategorized-zh-cn\/why-nvlink-is-crucial-for-multi-gpu-server-performance\/"},"modified":"2025-09-10T14:31:16","modified_gmt":"2025-09-10T06:31:16","slug":"why-nvlink-is-crucial-for-multi-gpu-server-performance","status":"publish","type":"post","link":"https:\/\/www.varidata.com\/zh-cn\/blog\/why-nvlink-is-crucial-for-multi-gpu-server-performance\/","title":{"rendered":"\u4e3a\u4f55NVLink\u5bf9\u591aGPU\u670d\u52a1\u5668\u6027\u80fd\u81f3\u5173\u91cd\u8981"},"content":{"rendered":"\n<p>\u5728\u73b0\u4ee3\u8ba1\u7b97\u57fa\u7840\u8bbe\u65bd\u7684\u9ad8\u8981\u6c42\u573a\u666f\u4e2d\u2014\u2014AI\u8bad\u7ec3\u4f9d\u8d56\u4e07\u4ebf\u53c2\u6570\u6a21\u578b\u8fd0\u884c\uff0c\u9ad8\u6027\u80fd\u8ba1\u7b97\uff08HPC\uff09\u96c6\u7fa4\u5904\u7406PB\u7ea7\u6570\u636e\u6a21\u62df\u6c14\u5019\u7cfb\u7edf\u2014\u2014\u4f20\u7edfGPU\u4e92\u8054\u6280\u672f\u7684\u5c40\u9650\u6027\u5df2\u6210\u4e3a\u5173\u952e\u74f6\u9888\u3002\u800c<a href=\"https:\/\/www.varidata.com\/zh-cn\/blog\/cxl-vs-nvlink-next-gen-server-interconnect-battle\/\" target=\"_blank\">NVLink<\/a>\uff08\u82f1\u4f1f\u8fbe\u4e13\u5c5e\u9ad8\u901f\u4e92\u8054\u6280\u672f\uff09\u7684\u51fa\u73b0\uff0c\u6070\u597d\u6253\u7834\u4e86\u8fd9\u4e00\u56f0\u5883\uff1a\u5b83\u4e13\u4e3a\u591aGPU\u95f4\u901a\u4fe1\u8bbe\u8ba1\uff0c\u4ece\u6839\u672c\u4e0a\u91cd\u5851\u670d\u52a1\u5668\u6027\u80fd\u3002\u672c\u6587\u5c06\u6df1\u5165\u5256\u6790NVLink\u5982\u4f55\u89e3\u51b3\u591aGPU\u8ba1\u7b97\u7684\u6838\u5fc3\u6311\u6218\uff08\u4ece\u5e26\u5bbd\u9650\u5236\u5230\u5185\u5b58\u540c\u6b65\u5f00\u9500\uff09\uff0c\u4ee5\u53ca\u4e3a\u4f55\u5b83\u5df2\u6210\u4e3a\u4f9d\u8d56\u52a0\u901f\u8ba1\u7b97\u7684\u4f01\u4e1a\u4e0d\u53ef\u6216\u7f3a\u7684\u7ec4\u4ef6\uff0c\u5c24\u5176\u5728<a href=\"https:\/\/www.varidata.com\/zh-cn\/server\/us\/\" target=\"_blank\">\u670d\u52a1\u5668\u79df\u7528\u4e0e\u6258\u7ba1<\/a>\u9886\u57df\u5177\u6709\u91cd\u8981\u4ef7\u503c\u3002<\/p>\n<h2><strong>\u4e00\u3001\u4f20\u7edfGPU\u4e92\u8054\u6280\u672f\u7684\u5c40\u9650\u6027<\/strong><\/h2>\n<p>\u5728NVLink\u95ee\u4e16\u524d\uff0cPCIe\u4e00\u76f4\u662fGPU\u4e0e\u670d\u52a1\u5668\u3001GPU\u4e0eGPU\u95f4\u8fde\u63a5\u7684\u6807\u51c6\u65b9\u6848\u3002\u5c3d\u7ba1PCIe 5.0\u901a\u8fc7x16\u901a\u9053\u53ef\u63d0\u4f9b128 GB\/s\u7684\u53cc\u5411\u5e26\u5bbd\uff0c\u4f46\u9762\u5bf9\u73b0\u4ee3\u8d1f\u8f7d\u9700\u6c42\u4ecd\u663e\u4e0d\u8db3\uff1a<\/p>\n<ul>\n<li>PyTorch\u3001TensorFlow\u7b49AI\u8bad\u7ec3\u6846\u67b6\u5728\u53cd\u5411\u4f20\u64ad\u8fc7\u7a0b\u4e2d\uff0c\u9700\u8981GPU\u95f4\u65e0\u7f1d\u4ea4\u6362\u6570\u636e\uff0c\u5373\u4fbf\u5fae\u5c0f\u5ef6\u8fdf\u4e5f\u53ef\u80fd\u7d2f\u79ef\u6210\u6570\u5c0f\u65f6\u7684\u989d\u5916\u8bad\u7ec3\u65f6\u95f4\u3002<\/li>\n<li>\u5206\u5b50\u52a8\u529b\u5b66\u6a21\u62df\u7b49HPC\u5e94\u7528\u4e3a\u5b9e\u73b0\u8d1f\u8f7d\u5747\u8861\uff0c\u9700\u9891\u7e41\u8fdb\u884cGPU\u95f4\u901a\u4fe1\uff0c\u800cPCIe\u8f83\u9ad8\u7684\u5ef6\u8fdf\uff08GPU\u95f4\u6570\u636e\u4f20\u8f93\u7ea6100-200\u7eb3\u79d2\uff09\u4f1a\u4e25\u91cd\u62d6\u7d2f\u6548\u7387\u3002<\/li>\n<li>\u865a\u62df\u5236\u4f5c\u573a\u666f\u4e2d\uff0c\u5b9e\u65f6\u5149\u7ebf\u8ffd\u8e2a\u7684\u6e32\u67d3\u6d41\u6c34\u7ebf\u9700\u8981\u7a33\u5b9a\u5e26\u5bbd\u4ee5\u907f\u514d\u5e27\u7387\u4e0b\u964d\uff0c\u800c\u4f9d\u8d56\u5171\u4eabPCIe\u603b\u7ebf\u96be\u4ee5\u6ee1\u8db3\u8fd9\u4e00\u9700\u6c42\u3002<\/li>\n<\/ul>\n<p>    \u8fd9\u4e9b\u5c40\u9650\u6027\u4e3a\u591aGPU\u534f\u540c\u5de5\u4f5c\u7684\u6548\u7387\u8bbe\u7f6e\u4e86\u4e0a\u9650\uff0c\u8feb\u4f7f\u5de5\u7a0b\u5e08\u4e0d\u5f97\u4e0d\u56f4\u7ed5\u786c\u4ef6\u9650\u5236\u4f18\u5316\uff0c\u800c\u975e\u5145\u5206\u53d1\u6325\u8ba1\u7b97\u6f5c\u529b\u3002<\/p>\n<h2><strong>\u4e8c\u3001NVLink\uff1a\u91cd\u65b0\u5b9a\u4e49GPU\u901a\u4fe1\u65b9\u5f0f<\/strong><\/h2>\n<p>\u82f1\u4f1f\u8fbe\u4e8e2016\u5e74\u63a8\u51faNVLink\uff0c\u8fd9\u6b3e\u4e13\u4e3aGPU\u95f4\u901a\u4fe1\u8bbe\u8ba1\u7684\u4e13\u5c5e\u4e92\u8054\u6280\u672f\uff0c\u4ece\u5e95\u5c42\u91cd\u6784\u4e86\u591aGPU\u534f\u4f5c\u6a21\u5f0f\u3002\u4ee5\u4e0b\u662f\u5176\u6838\u5fc3\u6280\u672f\u4f18\u52bf\u7684\u62c6\u89e3\uff1a<\/p>\n<h3><strong>1. \u65e0\u53ef\u5339\u654c\u7684\u5e26\u5bbd\u6027\u80fd<\/strong><\/h3>\n<p>NVLink\u6700\u76f4\u89c2\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u60ca\u4eba\u7684\u5e26\u5bbd\uff1a<\/p>\n<ul>\n<li>\u5e94\u7528\u4e8eH100\u7b49GPU\u7684NVLink 4.0\uff0c\u5355\u94fe\u8def\u53cc\u5411\u5e26\u5bbd\u6700\u9ad8\u53ef\u8fbe<strong>900 GB\/s<\/strong>\u2014\u2014\u662fPCIe 5.0 x16\u76847\u500d\u4ee5\u4e0a\u3002<\/li>\n<li>\u652f\u6301\u591a\u94fe\u8def\u805a\u5408\u6280\u672f\uff0c\u6bcf\u5757GPU\u53ef\u901a\u8fc7\u6700\u591a8\u6761\u94fe\u8def\u4e0e\u76f8\u90bbGPU\u8fde\u63a5\uff1b\u5728\u5168\u4e92\u8054\u62d3\u6251\uff08\u5982\u82f1\u4f1f\u8fbeDGX H100\u670d\u52a1\u5668\u76848 GPU\u914d\u7f6e\uff09\u4e2d\uff0c\u603b\u5e26\u5bbd\u53ef\u8fbe<strong>7.2 TB\/s<\/strong>\u3002<\/li>\n<li>\u65af\u5766\u798f\u5927\u5b66\u7814\u7a76\u4eba\u5458\u7684\u5bf9\u6bd4\u6d4b\u8bd5\u663e\u793a\uff1a\u901a\u8fc7NVLink\u5728GPU\u95f4\u4f20\u8f9316GB\u5f20\u91cf\u4ec5\u9700<strong>18\u5fae\u79d2<\/strong>\uff0c\u800c\u901a\u8fc7PCIe 5.0\u5219\u9700<strong>120\u5fae\u79d2<\/strong>\u2014\u2014\u4f20\u8f93\u65f6\u95f4\u51cf\u5c1185%\u3002<\/li>\n<\/ul>\n<p>    \u8fd9\u79cd\u5e26\u5bbd\u8dc3\u5347\u5f7b\u5e95\u6d88\u9664\u4e86\u6570\u636e\u4f20\u8f93\u74f6\u9888\uff0c\u4f7fGPU\u80fd\u66f4\u63a5\u8fd1\u5176\u7406\u8bba\u8ba1\u7b97\u5cf0\u503c\u3002<\/p>\n<h3><strong>2. \u4f4e\u5ef6\u8fdf\u7684\u5185\u5b58\u4e00\u81f4\u6027<\/strong><\/h3>\n<p>\u9664\u5e26\u5bbd\u5916\uff0cNVLink\u8fd8\u5f15\u5165\u4e86<strong>\u7edf\u4e00\u5185\u5b58\u5730\u5740\u7a7a\u95f4<\/strong>\uff0c\u8ba9GPU\u65e0\u9700\u4e3b\u673aCPU\u5e72\u9884\u5373\u53ef\u76f4\u63a5\u8bbf\u95ee\u5f7c\u6b64\u7684\u663e\u5b58\uff08VRAM\uff09\u3002\u6838\u5fc3\u7279\u6027\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\u9488\u5bf9GPU\u95f4\u540c\u6b65\u4f18\u5316\u7684<strong>\u539f\u5b50\u64cd\u4f5c<\/strong>\uff0c\u964d\u4f4e\u968f\u673a\u68af\u5ea6\u4e0b\u964d\u7b49\u5e76\u884c\u7b97\u6cd5\u7684\u5f00\u9500\u3002<\/li>\n<li>\u786c\u4ef6\u7ea7\u5185\u5b58\u4e00\u81f4\u6027\u4fdd\u969c\uff0c\u786e\u4fdd\u591aGPU\u5e76\u53d1\u8bfb\u5199\u65f6\u7684\u6570\u636e\u5b8c\u6574\u6027\u2014\u2014\u8fd9\u5bf9\u6570\u503c\u7cbe\u5ea6\u81f3\u5173\u91cd\u8981\u7684\u79d1\u5b66\u8ba1\u7b97\u573a\u666f\u800c\u8a00\u4e0d\u53ef\u6216\u7f3a\u3002<\/li>\n<li>\u82f1\u4f1f\u8fbeSDK\u7684\u5ef6\u8fdf\u6d4b\u8bd5\u6570\u636e\u663e\u793a\uff1a\u901a\u8fc7NVLink\u8bbf\u95ee\u8fdc\u7a0b\u5185\u5b58\u7684\u5e73\u5747\u5ef6\u8fdf\u4ec5<strong>15\u7eb3\u79d2<\/strong>\uff0c\u800cPCIe\u7cfb\u7edf\u5219\u9700<strong>50\u7eb3\u79d2<\/strong>\u2014\u2014\u8fd9\u5bf9\u7ec6\u7c92\u5ea6\u5e76\u884c\u4efb\u52a1\u81f3\u5173\u91cd\u8981\u3002<\/li>\n<\/ul>\n<p>    \u8fd9\u79cd\u67b6\u6784\u5c06\u591aGPU\u7cfb\u7edf\u4ece\u677e\u6563\u8026\u5408\u7684\u96c6\u7fa4\uff0c\u8f6c\u53d8\u4e3a\u5355\u4e00\u3001\u534f\u540c\u7684\u8ba1\u7b97\u5355\u5143\u3002<\/p>\n<h3><strong>3. \u667a\u80fd\u8d44\u6e90\u8c03\u5ea6<\/strong><\/h3>\n<p>NVLink\u4e0d\u4ec5\u662f\u7269\u7406\u8fde\u63a5\uff0c\u8fd8\u4e0e\u82f1\u4f1f\u8fbe\u8f6f\u4ef6\u6808\u6df1\u5ea6\u96c6\u6210\uff0c\u5b9e\u73b0\u9ad8\u7ea7\u8d44\u6e90\u7ba1\u7406\uff1a<\/p>\n<ul>\n<li><strong>\u52a8\u6001\u8d1f\u8f7d\u5747\u8861<\/strong>\uff1a\u5b9e\u65f6\u91cd\u65b0\u5206\u914d\u8ba1\u7b97\u5bc6\u96c6\u578b\u4efb\u52a1\uff0c\u907f\u514d\u5355\u5757GPU\u5229\u7528\u7387\u4e0d\u8db3\u7684\u95ee\u9898\u3002<\/li>\n<li><strong>\u5185\u5b58\u6c60\u5316<\/strong>\uff1a\u591aGPU\u7684\u663e\u5b58\u53ef\u6574\u5408\u4e3a\u5355\u4e00\u8d44\u6e90\u6c60\u2014\u2014\u5bf9\u8bad\u7ec3\u8d85\u51fa\u5355GPU\u663e\u5b58\u5bb9\u91cf\u7684\u6a21\u578b\uff08\u59824\u575780GB GPU\u53ef\u63d0\u4f9b320GB\u5171\u4eab\u5185\u5b58\uff09\u81f3\u5173\u91cd\u8981\u3002<\/li>\n<li>\u4e0e\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u6d41\u7a0b\u65e0\u7f1d\u517c\u5bb9\uff1aGPU\u53ef\u5c06\u4f4e\u7cbe\u5ea6\u8ba1\u7b97\u5378\u8f7d\u5230\u4e13\u7528\u6838\u5fc3\uff0c\u540c\u65f6\u901a\u8fc7NVLink\u7ef4\u6301\u9ad8\u7cbe\u5ea6\u901a\u4fe1\u3002<\/li>\n<\/ul>\n<p>    \u8fd9\u4e9b\u7279\u6027\u4f7fNVLink\u6210\u4e3a\u8f6f\u4ef6\u5f00\u53d1\u4eba\u5458\u4e0e\u786c\u4ef6\u67b6\u6784\u5e08\u7684\u57fa\u7840\u6280\u672f\u652f\u6491\u3002<\/p>\n<h2><strong>\u4e09\u3001\u5173\u952e\u8d1f\u8f7d\u573a\u666f\u4e0b\u7684\u6027\u80fd\u5f71\u54cd<\/strong><\/h2>\n<p>NVLink\u5728\u4e0d\u540c\u884c\u4e1a\u7684\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u867d\u8868\u73b0\u5f62\u5f0f\u5404\u5f02\uff0c\u4f46\u6838\u5fc3\u5171\u6027\u662f\u6548\u7387\u4e0e\u6269\u5c55\u6027\u7684\u663e\u8457\u63d0\u5347\u3002<\/p>\n<h3><strong>1. AI\u8bad\u7ec3\uff1a\u7f29\u77ed\u6c42\u89e3\u65f6\u95f4<\/strong><\/h3>\n<p>\u5728\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u8bad\u7ec3\u4e2d\uff0c\u6548\u7387\u7684\u6bcf\u4e00\u4e2a\u767e\u5206\u70b9\u90fd\u610f\u5473\u7740\u5de8\u5927\u7684\u6210\u672c\u8282\u7ea6\uff1a<\/p>\n<ul>\n<li>\u636e\u884c\u4e1a\u6cc4\u9732\u62a5\u544a\u663e\u793a\uff0c\u57fa\u4e8e\u82f1\u4f1f\u8fbeDGX\u8282\u70b9\u6784\u5efa\u7684OpenAI GPT-4\u8bad\u7ec3\u96c6\u7fa4\uff0c\u501f\u52a9NVLink\u5b9e\u73b0\u4e86\u6bd4PCIe\u524d\u4ee3\u7cfb\u7edf<strong>\u5feb30%\u7684\u6536\u655b\u901f\u5ea6<\/strong>\u3002<\/li>\n<li>Hugging Face Transformer\u5e93\u7684\u57fa\u51c6\u6d4b\u8bd5\u8868\u660e\uff1a\u901a\u8fc7NVLink\u5c06100\u4ebf\u53c2\u6570\u6a21\u578b\u5206\u5e03\u5f0f\u90e8\u7f72\u52308\u5757GPU\uff0c\u6279\u95f4\u901a\u4fe1\u5f00\u9500\u51cf\u5c11<strong>65%<\/strong>\uff0c\u5e73\u5747\u6bcf\u4e2aepoch\u901f\u5ea6\u63d0\u5347<strong>22%<\/strong>\u3002<\/li>\n<li>\u4e9a\u9a6c\u900a\u4e91\u79d1\u6280\uff08p4d\u5b9e\u4f8b\uff09\u3001\u8c37\u6b4c\u4e91\uff08A3VM\uff09\u7b49\u4e91\u670d\u52a1\u5546\uff0c\u5728\u5176\u9ad8\u7aefAI\u8bad\u7ec3\u4ea7\u54c1\u4e2d\u660e\u786e\u5f3a\u8c03NVLink\u652f\u6301\u2014\u2014\u7784\u51c6\u90a3\u4e9b\u5c06\u8bad\u7ec3\u901f\u5ea6\u89c6\u4e3a\u7ade\u4e89\u4f18\u52bf\u7684\u4f01\u4e1a\u3002<\/li>\n<\/ul>\n<p>    \u65e0\u9700\u6309\u6bd4\u4f8b\u589e\u52a0\u65f6\u95f4\u6216\u6210\u672c\u5373\u53ef\u6269\u5c55\u6a21\u578b\u89c4\u6a21\u4e0e\u8bad\u7ec3\u6570\u636e\uff0c\u8fd9\u4e00\u80fd\u529b\u4f7fNVLink\u6210\u4e3a\u751f\u6210\u5f0fAI\u57fa\u7840\u8bbe\u65bd\u7684\u6838\u5fc3\u3002<\/p>\n<h3><strong>2. \u9ad8\u6027\u80fd\u8ba1\u7b97\uff08HPC\uff09<\/strong><\/h3>\n<p>\u5728\u9700\u8981\u5927\u89c4\u6a21\u5e76\u884c\u7684\u79d1\u5b66\u8ba1\u7b97\u573a\u666f\u4e2d\uff1a<\/p>\n<ol>\n<li>\u52b3\u4f26\u65af\u5229\u5f17\u83ab\u5c14\u56fd\u5bb6\u5b9e\u9a8c\u5ba4\u7684\u767e\u4ebf\u4ebf\u6b21\uff08Exascale\uff09\u5c31\u7eea\u7cfb\u7edf\uff0c\u501f\u52a9NVLink\u52a0\u901f\u6c14\u5019\u6a21\u578b\uff0c\u5728\u5927\u6c14\u73af\u6d41\u6a21\u62df\u4e2d\u5b9e\u73b0\u4e86\u6bd4PCIe\u96c6\u7fa4<strong>\u9ad840%\u7684\u541e\u5410\u91cf<\/strong>\u3002<\/li>\n<li>\u77f3\u6cb9\u5929\u7136\u6c14\u4f01\u4e1a\u4f9d\u8d56NVLink\u5904\u7406\u5730\u9707\u6570\u636e\uff0c\u901a\u8fc7\u52a0\u901fGPU\u95f4\u6570\u636e\u91cd\u7ec4\uff0c\u5c06\u5730\u4e0b\u7ed3\u6784\u5206\u6790\u65f6\u95f4\u4ece<strong>\u6570\u5468\u7f29\u77ed\u81f3\u6570\u5929<\/strong>\uff08\u9006\u65f6\u504f\u79fb\u7b97\u6cd5\u573a\u666f\uff09\u3002<\/li>\n<li>\u5bc6\u5ea6\u6cdb\u51fd\u7406\u8bba\uff08DFT\uff09\u7b49\u91cf\u5b50\u5316\u5b66\u5e94\u7528\uff0c\u53d7\u76ca\u4e8eNVLink\u7684\u5185\u5b58\u4e00\u81f4\u6027\uff0c\u53ef\u5728\u5206\u5e03\u5f0fGPU\u4e0a\u8fdb\u884c\u7cbe\u786e\u7684\u7535\u5b50\u5bc6\u5ea6\u8ba1\u7b97\uff0c\u4e14\u4e0d\u635f\u5931\u7cbe\u5ea6\u3002<\/li>\n<\/ol>\n<p>    \u8fd9\u4e9b\u8fdb\u6b65\u5c06\u201c\u8ba1\u7b97\u53ef\u884c\u6027\u201d\u7684\u8fb9\u754c\u63a8\u5411\u4e86\u66f4\u590d\u6742\u7684\u573a\u666f\uff0c\u540c\u65f6\u538b\u7f29\u4e86\u5b9e\u9645\u8017\u65f6\u3002<\/p>\n<h3><strong>3. \u56fe\u5f62\u4e0e\u6e32\u67d3<\/strong><\/h3>\n<p>\u5728\u89c6\u89c9\u8ba1\u7b97\u8d1f\u8f7d\u4e2d\uff1a<\/p>\n<ul>\n<li>\u82f1\u4f1f\u8fbeOmniverse\u7b49\u5e73\u53f0\u7684\u5b9e\u65f6\u5149\u7ebf\u8ffd\u8e2a\u529f\u80fd\uff0c\u4f9d\u8d56NVLink\u5728GPU\u95f4\u5206\u5e03\u5f0f\u90e8\u7f72\u590d\u6742\u573a\u666f\u56fe\uff0c\u5b9e\u73b04K 60\u5e27\u7684\u7167\u7247\u7ea7\u771f\u5b9e\u611f\u4ea4\u4e92\u6e32\u67d3\u2014\u2014\u8fd9\u662fPCIe\u5e26\u5bbd\u65e0\u6cd5\u652f\u6491\u7684\u3002<\/li>\n<li>\u91c7\u7528NVLink\u670d\u52a1\u5668\u7684\u5f71\u89c6\u52a8\u753b\u5de5\u4f5c\u5ba4\u62a5\u544a\u79f0\uff0c\u5206\u5e03\u5f0f\u6e32\u67d3\u6d41\u6c34\u7ebf\u7684<strong>\u5355\u5e27\u5b8c\u6210\u65f6\u95f4\u7f29\u77ed25%<\/strong>\uff0c\u5bf9\u6ee1\u8db3\u7d27\u5f20\u7684\u5236\u4f5c\u5468\u671f\u81f3\u5173\u91cd\u8981\u3002<\/li>\n<li>\u82f1\u4f1f\u8fbeGeForce NOW\u7b49\u4e91\u6e38\u620f\u670d\u52a1\uff0c\u501f\u52a9NVLink\u52a8\u6001\u6c60\u5316GPU\u8d44\u6e90\uff0c\u5373\u4f7f\u5728\u9ad8\u5cf0\u65f6\u6bb5\u4e5f\u80fd\u4fdd\u969c\u4f4e\u5ef6\u8fdf\u6d41\u5a92\u4f53\u4f20\u8f93\u3002<\/li>\n<\/ul>\n<p>    \u8fd9\u9879\u6280\u672f\u586b\u8865\u4e86\u201c\u827a\u672f\u613f\u666f\u201d\u4e0e\u201c\u6280\u672f\u53ef\u884c\u6027\u201d\u4e4b\u95f4\u7684\u9e3f\u6c9f\u3002<\/p>\n<h2><strong>\u56db\u3001\u751f\u6001\u7cfb\u7edf\u4e0e\u5e94\u7528\u73b0\u72b6<\/strong><\/h2>\n<p>NVLink\u7684\u4e3b\u5bfc\u5730\u4f4d\u4e0d\u4ec5\u6e90\u4e8e\u6280\u672f\u4f18\u52bf\uff0c\u66f4\u5f97\u76ca\u4e8e\u652f\u6301\u5176\u96c6\u6210\u7684\u5b8c\u5584\u751f\u6001\u7cfb\u7edf\uff1a<\/p>\n<h3><strong>1. \u786c\u4ef6\u5408\u4f5c<\/strong><\/h3>\n<p>\u4e3b\u6d41\u670d\u52a1\u5668\u539f\u59cb\u8bbe\u5907\u5236\u9020\u5546\uff08OEM\uff09\u5df2\u5c06NVLink\u4f5c\u4e3a\u9ad8\u7aef\u4ea7\u54c1\u7684\u6838\u5fc3\u7279\u6027\uff1a<\/p>\n<ul>\n<li>\u6234\u5c14\u6613\u5b89\u4fe1PowerEdge XE9680\u652f\u6301\u6700\u591a8\u5757GPU\u7684\u5168NVLink\u4e92\u8054\uff0c\u7784\u51c6\u4f01\u4e1aAI\u5b9e\u9a8c\u5ba4\u4e0eHPC\u4e2d\u5fc3\u3002<\/li>\n<li>HPE Apollo 6500 Gen10 Plus\u4f18\u5316\u4e86\u6563\u70ed\u4e0e\u4f9b\u7535\u8bbe\u8ba1\uff0c\u4ee5\u9002\u914dNVLink\u914d\u7f6e\uff0c\u89e3\u51b3\u9ad8\u5e26\u5bbd\u4e92\u8054\u5e26\u6765\u7684\u70ed\u7ba1\u7406\u6311\u6218\u3002<\/li>\n<li>\u8d85\u5fae\uff08Supermicro\uff09\u7684AI\u8d85\u7ea7\u670d\u52a1\u5668\u501f\u52a9NVLink\u6784\u5efa\u9ad8\u5bc6\u5ea6\u3001\u53ef\u6269\u5c55\u96c6\u7fa4\uff0c\u6df1\u53d7\u642d\u5efaGPU\u5373\u670d\u52a1\uff08GPUaaS\uff09\u5e73\u53f0\u7684\u4e91\u670d\u52a1\u5546\u9752\u7750\u3002<\/li>\n<\/ul>\n<p>    \u8fd9\u79cd\u786c\u4ef6\u652f\u6301\u786e\u4fddNVLink\u80fd\u8986\u76d6\u4ece\u673a\u67b6\u5f0f\u670d\u52a1\u5668\u5230\u8d85\u7ea7\u8ba1\u7b97\u673a\u8282\u70b9\u7684\u5168\u5f62\u6001\u9700\u6c42\u3002<\/p>\n<h3><strong>2. \u8f6f\u4ef6\u6808\u4f18\u5316<\/strong><\/h3>\n<p>\u82f1\u4f1f\u8fbeCUDA\u5de5\u5177\u5305\u5305\u542b\u539f\u751fNVLink\u4f18\u5316\uff0c\u4e3b\u6d41\u6846\u67b6\u4e5f\u7eb7\u7eb7\u8ddf\u8fdb\u9002\u914d\uff1a<\/p>\n<ol>\n<li>TensorFlow\u7684\u5206\u5e03\u5f0f\u7b56\u7565\u53ef\u81ea\u52a8\u68c0\u6d4bNVLink\u8fde\u63a5\uff0c\u5e76\u91c7\u7528\u9488\u5bf9\u4f4e\u5ef6\u8fdf\u4f18\u5316\u7684\u96c6\u5408\u901a\u4fe1\u539f\u8bed\u3002<\/li>\n<li>PyTorch\u7684NCCL\u5e93\u5728NVLink\u4e0a\u5b9e\u73b0\u7684all-reduce\u64cd\u4f5c\uff0c\u6bd4PCIe\u5feb30%\u2014\u2014\u8fd9\u5f97\u76ca\u4e8e\u4e13\u7528\u5185\u6838\u5b9e\u73b0\u3002<\/li>\n<li>OpenMPI\u4e0eMPI-3\u6807\u51c6\u5305\u542bNVLink\u611f\u77e5\u534f\u8bae\uff0c\u4f7fHPC\u5f00\u53d1\u8005\u65e0\u9700\u91cd\u5199\u9057\u7559\u4ee3\u7801\u5373\u53ef\u5229\u7528\u8be5\u4e92\u8054\u6280\u672f\u3002<\/li>\n<\/ol>\n<p>    \u8fd9\u79cd\u8f6f\u4ef6\u6210\u719f\u5ea6\u964d\u4f4e\u4e86\u65b0\u8001\u8d1f\u8f7d\u7684\u5e94\u7528\u95e8\u69db\u3002<\/p>\n<h3><strong>3. \u7f8e\u56fd\u670d\u52a1\u5668\u884c\u4e1a\u7684\u5e02\u573a\u52a8\u6001<\/strong><\/h3>\n<p>\u5728\u7ade\u4e89\u6fc0\u70c8\u7684\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u4e0e\u6258\u7ba1\u9886\u57df\uff1a<\/p>\n<ul>\n<li>\u9762\u5411AI\u521d\u521b\u4f01\u4e1a\u7684\u6570\u636e\u4e2d\u5fc3\u4f18\u5148\u914d\u7f6eNVLink\u670d\u52a1\u5668\uff0c\u56e0\u4e3a\u5ba2\u6237\u613f\u610f\u4e3a\u7f29\u77ed\u8bad\u7ec3\u65f6\u95f4\u652f\u4ed8\u6ea2\u4ef7\u3002<\/li>\n<li>\u4f01\u4e1aIT\u90e8\u95e8\u5728\u603b\u62e5\u6709\u6210\u672c\uff08TCO\uff09\u8bc4\u4f30\u4e2d\u53d1\u73b0\uff1a\u5c3d\u7ba1NVLink\u4f1a\u589e\u52a0\u524d\u671f\u786c\u4ef6\u6210\u672c\uff0c\u4f46\u7814\u53d1 productivity\u7684\u63d0\u5347\u8db3\u4ee5\u8bc1\u660e\u6295\u8d44\u5408\u7406\u6027\u2014\u2014\u5c24\u5176\u5bf9\u65f6\u95f4\u654f\u611f\u578b\u5e94\u7528\u3002<\/li>\n<li>\u7f8e\u56fd\u56fd\u9632\u9ad8\u7ea7\u7814\u7a76\u8ba1\u5212\u5c40\uff08DARPA\uff09\u3001\u7f8e\u56fd\u56fd\u5bb6\u822a\u7a7a\u822a\u5929\u5c40\uff08NASA\uff09\u7b49\u653f\u5e9c\u673a\u6784\uff0c\u5728AI\u9a71\u52a8\u7814\u7a76\u4e0e\u4efb\u52a1\u5173\u952e\u578b\u6a21\u62df\u7684\u91c7\u8d2d\u9700\u6c42\u4e2d\uff0c\u660e\u786e\u6307\u5b9aNVLink\u652f\u6301\u3002<\/li>\n<\/ul>\n<p>    \u8be5\u6280\u672f\u5df2\u6210\u4e3a\u62e5\u6324\u5e02\u573a\u4e2d\u7684\u6838\u5fc3\u5dee\u5f02\u5316\u8981\u7d20\u3002<\/p>\n<h2><strong>\u4e94\u3001\u6311\u6218\u4e0e\u672a\u6765\u65b9\u5411<\/strong><\/h2>\n<p>\u4efb\u4f55\u6280\u672f\u90fd\u5b58\u5728\u53d6\u820d\uff0cNVLink\u5728\u89c4\u6a21\u5316\u5e94\u7528\u4e2d\u4e5f\u9762\u4e34\u6311\u6218\uff1a<\/p>\n<h3><strong>1. \u5f53\u524d\u5c40\u9650<\/strong><\/h3>\n<ul>\n<li><strong>\u6210\u672c<\/strong>\uff1a\u652f\u6301NVLink\u7684GPU\u4e0e\u4e3b\u677f\u4ef7\u683c\u8f83\u9ad8\uff0c\u4f7f\u5c0f\u578b\u56e2\u961f\u96be\u4ee5\u8d1f\u62c5\u5165\u95e8\u7ea7\u591aGPU\u914d\u7f6e\u3002<\/li>\n<li><strong>\u62d3\u6251\u7ea6\u675f<\/strong>\uff1a\u5b9e\u73b0\u6700\u5927\u5e26\u5bbd\u6240\u9700\u7684\u5168\u4e92\u8054\u62d3\u6251\uff0c\u5728\u5927\u578b\u96c6\u7fa4\uff08\u8d85\u8fc78-16\u5757GPU\uff09\u4e2d\u90e8\u7f72\u590d\u6742\uff0c\u9700\u4f9d\u8d56\u4ea4\u6362\u7ed3\u6784\u624d\u80fd\u6269\u5c55\u3002<\/li>\n<li><strong>\u591a\u5382\u5546\u517c\u5bb9\u6027<\/strong>\uff1a\u4f5c\u4e3a\u82f1\u4f1f\u8fbe\u4e13\u5c5e\u6280\u672f\uff0cNVLink\u65e0\u6cd5\u4e0eAMD\u6216\u82f1\u7279\u5c14GPU\u4e92\u64cd\u4f5c\uff0c\u9650\u5236\u4e86\u5f02\u6784\u8ba1\u7b97\u73af\u5883\u7684\u5e94\u7528\u3002<\/li>\n<\/ul>\n<h3><strong>2. 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