{"id":24528,"date":"2025-09-10T14:10:35","date_gmt":"2025-09-10T06:10:35","guid":{"rendered":"https:\/\/www.varidata.com\/uncategorized-zh-tw\/why-nvlink-is-crucial-for-multi-gpu-server-performance\/"},"modified":"2025-09-10T14:25:24","modified_gmt":"2025-09-10T06:25:24","slug":"why-nvlink-is-crucial-for-multi-gpu-server-performance","status":"publish","type":"post","link":"https:\/\/www.varidata.com\/zh-tw\/blog-tc\/why-nvlink-is-crucial-for-multi-gpu-server-performance\/","title":{"rendered":"\u70ba\u4f55NVLink\u5c0d\u591aGPU\u4f3a\u670d\u5668\u6548\u80fd\u81f3\u95dc\u91cd\u8981"},"content":{"rendered":"\n<p>\u5728\u73fe\u4ee3\u904b\u7b97\u57fa\u790e\u67b6\u69cb\u7684\u9ad8\u8981\u6c42\u5834\u666f\u4e2d\u2014\u2014AI\u8a13\u7df4\u4f9d\u8cf4\u842c\u5104\u53c3\u6578\u6a21\u578b\u904b\u884c\uff0c\u9ad8\u6548\u80fd\u904b\u7b97\uff08HPC\uff09\u53e2\u96c6\u8655\u7406PB\u7d1a\u6578\u64da\u6a21\u64ec\u6c23\u5019\u7cfb\u7d71\u2014\u2014\u50b3\u7d71GPU\u4e92\u806f\u6280\u8853\u7684\u4fb7\u9650\u6027\u5df2\u6210\u70ba\u95dc\u9375\u74f6\u9838\u3002\u800c<a href=\"https:\/\/www.varidata.com\/zh-tw\/blog-tc\/cxl-vs-nvlink-next-gen-server-interconnect-battle\/\" target=\"_blank\">NVLink<\/a>\uff08\u82f1\u5049\u9054\u5c08\u5c6c\u9ad8\u901f\u4e92\u806f\u6280\u8853\uff09\u7684\u51fa\u73fe\uff0c\u6070\u597d\u6253\u7834\u4e86\u9019\u4e00\u56f0\u5883\uff1a\u5b83\u5c08\u70ba\u591aGPU\u9593\u901a\u8a0a\u8a2d\u8a08\uff0c\u5f9e\u6839\u672c\u4e0a\u91cd\u5851\u4f3a\u670d\u5668\u6548\u80fd\u3002\u672c\u6587\u5c07\u6df1\u5165\u5256\u6790NVLink\u5982\u4f55\u89e3\u6c7a\u591aGPU\u904b\u7b97\u7684\u6838\u5fc3\u6311\u6230\uff08\u5f9e\u983b\u5bec\u9650\u5236\u5230\u8a18\u61b6\u9ad4\u540c\u6b65\u958b\u92b7\uff09\uff0c\u4ee5\u53ca\u70ba\u4f55\u5b83\u5df2\u6210\u70ba\u4f9d\u8cf4\u52a0\u901f\u904b\u7b97\u7684\u4f01\u696d\u4e0d\u53ef\u6216\u7f3a\u7684\u5143\u4ef6\uff0c\u5c24\u5176\u5728<a href=\"https:\/\/www.varidata.com\/zh-tw\/server\/us\/\" target=\"_blank\">\u4f3a\u670d\u5668\u79df\u7528\u8207\u8a17\u7ba1<\/a>\u9818\u57df\u5177\u6709\u91cd\u8981\u50f9\u503c\u3002<\/p>\n<h2><strong>\u4e00\u3001\u50b3\u7d71GPU\u4e92\u806f\u6280\u8853\u7684\u4fb7\u9650\u6027<\/strong><\/h2>\n<p>\u5728NVLink\u554f\u4e16\u524d\uff0cPCIe\u4e00\u76f4\u662fGPU\u8207\u4f3a\u670d\u5668\u3001GPU\u8207GPU\u9593\u9023\u63a5\u7684\u6a19\u6e96\u65b9\u6848\u3002\u5118\u7ba1PCIe 5.0\u900f\u904ex16\u901a\u9053\u53ef\u63d0\u4f9b128 GB\/s\u7684\u96d9\u5411\u983b\u5bec\uff0c\u4f46\u9762\u5c0d\u73fe\u4ee3\u8ca0\u8f09\u9700\u6c42\u4ecd\u986f\u4e0d\u8db3\uff1a<\/p>\n<ul>\n<li>PyTorch\u3001TensorFlow\u7b49AI\u8a13\u7df4\u6846\u67b6\u5728\u53cd\u5411\u50b3\u64ad\u904e\u7a0b\u4e2d\uff0c\u9700\u8981GPU\u9593\u7121\u7e2b\u4ea4\u63db\u6578\u64da\uff0c\u5373\u4fbf\u5fae\u5c0f\u5ef6\u9072\u4e5f\u53ef\u80fd\u7d2f\u7a4d\u6210\u6578\u5c0f\u6642\u7684\u984d\u5916\u8a13\u7df4\u6642\u9593\u3002<\/li>\n<li>\u5206\u5b50\u52d5\u529b\u5b78\u6a21\u64ec\u7b49HPC\u61c9\u7528\u70ba\u5be6\u73fe\u8ca0\u8f09\u5747\u8861\uff0c\u9700\u983b\u7e41\u9032\u884cGPU\u9593\u901a\u8a0a\uff0c\u800cPCIe\u8f03\u9ad8\u7684\u5ef6\u9072\uff08GPU\u9593\u6578\u64da\u50b3\u8f38\u7d04100-200\u5948\u79d2\uff09\u6703\u56b4\u91cd\u62d6\u7d2f\u6548\u7387\u3002<\/li>\n<li>\u865b\u64ec\u88fd\u4f5c\u5834\u666f\u4e2d\uff0c\u5373\u6642\u5149\u7dda\u8ffd\u8e64\u7684\u6e32\u67d3\u6d41\u6c34\u7dda\u9700\u8981\u7a69\u5b9a\u983b\u5bec\u4ee5\u907f\u514d\u5e40\u7387\u4e0b\u964d\uff0c\u800c\u4f9d\u8cf4\u5171\u7528PCIe\u532f\u6d41\u6392\u96e3\u4ee5\u6eff\u8db3\u9019\u4e00\u9700\u6c42\u3002<\/li>\n<\/ul>\n<p>    \u9019\u4e9b\u4fb7\u9650\u6027\u70ba\u591aGPU\u5354\u540c\u5de5\u4f5c\u7684\u6548\u7387\u8a2d\u7f6e\u4e86\u4e0a\u9650\uff0c\u8feb\u4f7f\u5de5\u7a0b\u5e2b\u4e0d\u5f97\u4e0d\u570d\u7e5e\u786c\u9ad4\u9650\u5236\u6700\u4f73\u5316\uff0c\u800c\u975e\u5145\u5206\u767c\u63ee\u904b\u7b97\u6f5b\u529b\u3002<\/p>\n<h2><strong>\u4e8c\u3001NVLink\uff1a\u91cd\u65b0\u5b9a\u7fa9GPU\u901a\u8a0a\u65b9\u5f0f<\/strong><\/h2>\n<p>\u82f1\u5049\u9054\u65bc2016\u5e74\u63a8\u51faNVLink\uff0c\u9019\u6b3e\u5c08\u70baGPU\u9593\u901a\u8a0a\u8a2d\u8a08\u7684\u5c08\u5c6c\u4e92\u806f\u6280\u8853\uff0c\u5f9e\u5e95\u5c64\u91cd\u69cb\u4e86\u591aGPU\u5354\u4f5c\u6a21\u5f0f\u3002\u4ee5\u4e0b\u662f\u5176\u6838\u5fc3\u6280\u8853\u512a\u52e2\u7684\u62c6\u89e3\uff1a<\/p>\n<h3><strong>1. \u7121\u53ef\u5339\u6575\u7684\u983b\u5bec\u6548\u80fd<\/strong><\/h3>\n<p>NVLink\u6700\u76f4\u89c0\u7684\u512a\u52e2\u5728\u65bc\u5176\u9a5a\u4eba\u7684\u983b\u5bec\uff1a<\/p>\n<ul>\n<li>\u61c9\u7528\u65bcH100\u7b49GPU\u7684NVLink 4.0\uff0c\u55ae\u93c8\u8def\u96d9\u5411\u983b\u5bec\u6700\u9ad8\u53ef\u9054<strong>900 GB\/s<\/strong>\u2014\u2014\u662fPCIe 5.0 x16\u76847\u500d\u4ee5\u4e0a\u3002<\/li>\n<li>\u652f\u63f4\u591a\u93c8\u8def\u805a\u5408\u6280\u8853\uff0c\u6bcf\u584aGPU\u53ef\u900f\u904e\u6700\u591a8\u689d\u93c8\u8def\u8207\u76f8\u9130GPU\u9023\u63a5\uff1b\u5728\u5168\u4e92\u806f\u62d3\u64b2\uff08\u5982\u82f1\u5049\u9054DGX H100\u4f3a\u670d\u5668\u76848 GPU\u8a2d\u5b9a\uff09\u4e2d\uff0c\u7e3d\u983b\u5bec\u53ef\u9054<strong>7.2 TB\/s<\/strong>\u3002<\/li>\n<li>\u53f2\u4e39\u4f5b\u5927\u5b78\u7814\u7a76\u4eba\u54e1\u7684\u5c0d\u6bd4\u6e2c\u8a66\u986f\u793a\uff1a\u900f\u904eNVLink\u5728GPU\u9593\u50b3\u8f3816GB\u5f35\u91cf\u50c5\u9700<strong>18\u5fae\u79d2<\/strong>\uff0c\u800c\u900f\u904ePCIe 5.0\u5247\u9700<strong>120\u5fae\u79d2<\/strong>\u2014\u2014\u50b3\u8f38\u6642\u9593\u6e1b\u5c1185%\u3002<\/li>\n<\/ul>\n<p>    \u9019\u7a2e\u983b\u5bec\u8e8d\u5347\u5fb9\u5e95\u6d88\u9664\u4e86\u6578\u64da\u50b3\u8f38\u74f6\u9838\uff0c\u4f7fGPU\u80fd\u66f4\u63a5\u8fd1\u5176\u7406\u8ad6\u904b\u7b97\u5cf0\u503c\u3002<\/p>\n<h3><strong>2. \u4f4e\u5ef6\u9072\u7684\u8a18\u61b6\u9ad4\u4e00\u81f4\u6027<\/strong><\/h3>\n<p>\u9664\u983b\u5bec\u5916\uff0cNVLink\u9084\u5f15\u5165\u4e86<strong>\u7d71\u4e00\u8a18\u61b6\u9ad4\u4f4d\u5740\u7a7a\u9593<\/strong>\uff0c\u8b93GPU\u7121\u9700\u4e3b\u6a5fCPU\u4ecb\u5165\u5373\u53ef\u76f4\u63a5\u5b58\u53d6\u5f7c\u6b64\u7684\u986f\u5b58\uff08VRAM\uff09\u3002\u6838\u5fc3\u7279\u6027\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\u91dd\u5c0dGPU\u9593\u540c\u6b65\u6700\u4f73\u5316\u7684<strong>\u539f\u5b50\u64cd\u4f5c<\/strong>\uff0c\u964d\u4f4e\u96a8\u6a5f\u68af\u5ea6\u4e0b\u964d\u7b49\u5e73\u884c\u6f14\u7b97\u6cd5\u7684\u958b\u92b7\u3002<\/li>\n<li>\u786c\u9ad4\u7d1a\u8a18\u61b6\u9ad4\u4e00\u81f4\u6027\u4fdd\u969c\uff0c\u78ba\u4fdd\u591aGPU\u4f75\u767c\u8b80\u5beb\u6642\u7684\u6578\u64da\u5b8c\u6574\u6027\u2014\u2014\u9019\u5c0d\u6578\u503c\u7cbe\u5ea6\u81f3\u95dc\u91cd\u8981\u7684\u79d1\u5b78\u904b\u7b97\u5834\u666f\u800c\u8a00\u4e0d\u53ef\u6216\u7f3a\u3002<\/li>\n<li>\u82f1\u5049\u9054SDK\u7684\u5ef6\u9072\u6e2c\u8a66\u6578\u64da\u986f\u793a\uff1a\u900f\u904eNVLink\u5b58\u53d6\u9060\u7aef\u8a18\u61b6\u9ad4\u7684\u5e73\u5747\u5ef6\u9072\u50c5<strong>15\u5948\u79d2<\/strong>\uff0c\u800cPCIe\u7cfb\u7d71\u5247\u9700<strong>50\u5948\u79d2<\/strong>\u2014\u2014\u9019\u5c0d\u7d30\u9846\u7c92\u5ea6\u5e73\u884c\u4efb\u52d9\u81f3\u95dc\u91cd\u8981\u3002<\/li>\n<\/ul>\n<p>    \u9019\u7a2e\u67b6\u69cb\u5c07\u591aGPU\u7cfb\u7d71\u5f9e\u9b06\u6563\u8026\u5408\u7684\u53e2\u96c6\uff0c\u8f49\u8b8a\u70ba\u55ae\u4e00\u3001\u5354\u540c\u7684\u904b\u7b97\u55ae\u5143\u3002<\/p>\n<h3><strong>3. \u667a\u6167\u8cc7\u6e90\u8abf\u5ea6<\/strong><\/h3>\n<p>NVLink\u4e0d\u50c5\u662f\u7269\u7406\u9023\u63a5\uff0c\u9084\u8207\u82f1\u5049\u9054\u8edf\u9ad4\u5806\u758a\u6df1\u5ea6\u6574\u5408\uff0c\u5be6\u73fe\u9ad8\u968e\u8cc7\u6e90\u7ba1\u7406\uff1a<\/p>\n<ul>\n<li><strong>\u52d5\u614b\u8ca0\u8f09\u5747\u8861<\/strong>\uff1a\u5373\u6642\u91cd\u65b0\u5206\u914d\u904b\u7b97\u5bc6\u96c6\u578b\u4efb\u52d9\uff0c\u907f\u514d\u55ae\u584aGPU\u5229\u7528\u7387\u4e0d\u8db3\u7684\u554f\u984c\u3002<\/li>\n<li><strong>\u8a18\u61b6\u9ad4\u6c60\u5316<\/strong>\uff1a\u591aGPU\u7684\u986f\u5b58\u53ef\u6574\u5408\u70ba\u55ae\u4e00\u8cc7\u6e90\u6c60\u2014\u2014\u5c0d\u8a13\u7df4\u8d85\u51fa\u55aeGPU\u986f\u5b58\u5bb9\u91cf\u7684\u6a21\u578b\uff08\u59824\u584a80GB GPU\u53ef\u63d0\u4f9b320GB\u5171\u7528\u8a18\u61b6\u9ad4\uff09\u81f3\u95dc\u91cd\u8981\u3002<\/li>\n<li>\u8207\u6df7\u5408\u7cbe\u5ea6\u8a13\u7df4\u6d41\u7a0b\u7121\u7e2b\u76f8\u5bb9\uff1aGPU\u53ef\u5c07\u4f4e\u7cbe\u5ea6\u904b\u7b97\u5378\u8f09\u5230\u5c08\u7528\u6838\u5fc3\uff0c\u540c\u6642\u900f\u904eNVLink\u7dad\u6301\u9ad8\u7cbe\u5ea6\u901a\u8a0a\u3002<\/li>\n<\/ul>\n<p>    \u9019\u4e9b\u7279\u6027\u4f7fNVLink\u6210\u70ba\u8edf\u9ad4\u958b\u767c\u4eba\u54e1\u8207\u786c\u9ad4\u67b6\u69cb\u5e2b\u7684\u57fa\u790e\u6280\u8853\u652f\u6490\u3002<\/p>\n<h2><strong>\u4e09\u3001\u95dc\u9375\u8ca0\u8f09\u5834\u666f\u4e0b\u7684\u6548\u80fd\u5f71\u97ff<\/strong><\/h2>\n<p>NVLink\u5728\u4e0d\u540c\u7522\u696d\u7684\u5be6\u969b\u61c9\u7528\u4e2d\uff0c\u96d6\u8868\u73fe\u5f62\u5f0f\u5404\u7570\uff0c\u4f46\u6838\u5fc3\u5171\u6027\u662f\u6548\u7387\u8207\u64f4\u5145\u6027\u7684\u986f\u8457\u63d0\u5347\u3002<\/p>\n<h3><strong>1. AI\u8a13\u7df4\uff1a\u7e2e\u77ed\u6c42\u89e3\u6642\u9593<\/strong><\/h3>\n<p>\u5728\u5927\u578b\u8a9e\u8a00\u6a21\u578b\uff08LLM\uff09\u8a13\u7df4\u4e2d\uff0c\u6548\u7387\u7684\u6bcf\u4e00\u500b\u767e\u5206\u9ede\u90fd\u610f\u5473\u8457\u5de8\u5927\u7684\u6210\u672c\u7bc0\u7d04\uff1a<\/p>\n<ul>\n<li>\u64da\u7522\u696d\u6d29\u9732\u5831\u544a\u986f\u793a\uff0c\u57fa\u65bc\u82f1\u5049\u9054DGX\u7bc0\u9ede\u5efa\u69cb\u7684OpenAI GPT-4\u8a13\u7df4\u53e2\u96c6\uff0c\u85c9\u52a9NVLink\u5be6\u73fe\u4e86\u6bd4PCIe\u524d\u4ee3\u7cfb\u7d71<strong>\u5feb30%\u7684\u6536\u6582\u901f\u5ea6<\/strong>\u3002<\/li>\n<li>Hugging Face Transformer\u51fd\u5f0f\u5eab\u7684\u57fa\u6e96\u6e2c\u8a66\u8868\u660e\uff1a\u900f\u904eNVLink\u5c07100\u5104\u53c3\u6578\u6a21\u578b\u5206\u6563\u5f0f\u90e8\u7f72\u52308\u584aGPU\uff0c\u6279\u9593\u901a\u8a0a\u958b\u92b7\u6e1b\u5c11<strong>65%<\/strong>\uff0c\u5e73\u5747\u6bcf\u500bepoch\u901f\u5ea6\u63d0\u5347<strong>22%<\/strong>\u3002<\/li>\n<li>\u4e9e\u99ac\u905c\u96f2\u79d1\u6280\uff08p4d\u57f7\u884c\u500b\u9ad4\uff09\u3001\u8c37\u6b4c\u96f2\uff08A3VM\uff09\u7b49\u96f2\u7aef\u670d\u52d9\u5546\uff0c\u5728\u5176\u9ad8\u968eAI\u8a13\u7df4\u7522\u54c1\u4e2d\u660e\u78ba\u5f37\u8abfNVLink\u652f\u63f4\u2014\u2014\u7784\u6e96\u90a3\u4e9b\u5c07\u8a13\u7df4\u901f\u5ea6\u8996\u70ba\u7af6\u722d\u512a\u52e2\u7684\u4f01\u696d\u3002<\/li>\n<\/ul>\n<p>    \u7121\u9700\u6309\u6bd4\u4f8b\u589e\u52a0\u6642\u9593\u6216\u6210\u672c\u5373\u53ef\u64f4\u5145\u6a21\u578b\u898f\u6a21\u8207\u8a13\u7df4\u6578\u64da\uff0c\u9019\u4e00\u80fd\u529b\u4f7fNVLink\u6210\u70ba\u751f\u6210\u5f0fAI\u57fa\u790e\u67b6\u69cb\u7684\u6838\u5fc3\u3002<\/p>\n<h3><strong>2. \u9ad8\u6548\u80fd\u904b\u7b97\uff08HPC\uff09<\/strong><\/h3>\n<p>\u5728\u9700\u8981\u5927\u898f\u6a21\u5e73\u884c\u7684\u79d1\u5b78\u904b\u7b97\u5834\u666f\u4e2d\uff1a<\/p>\n<ol>\n<li>\u52de\u502b\u65af\u5229\u5f17\u6469\u723e\u570b\u5bb6\u5be6\u9a57\u5ba4\u7684\u767e\u5104\u5104\u6b21\uff08Exascale\uff09\u5c31\u7dd2\u7cfb\u7d71\uff0c\u85c9\u52a9NVLink\u52a0\u901f\u6c23\u5019\u6a21\u578b\uff0c\u5728\u5927\u6c23\u74b0\u6d41\u6a21\u64ec\u4e2d\u5be6\u73fe\u4e86\u6bd4PCIe\u53e2\u96c6<strong>\u9ad840%\u7684\u541e\u5410\u91cf<\/strong>\u3002<\/li>\n<li>\u77f3\u6cb9\u5929\u7136\u6c23\u4f01\u696d\u4f9d\u8cf4NVLink\u8655\u7406\u5730\u9707\u6578\u64da\uff0c\u900f\u904e\u52a0\u901fGPU\u9593\u6578\u64da\u91cd\u7d44\uff0c\u5c07\u5730\u4e0b\u7d50\u69cb\u5206\u6790\u6642\u9593\u5f9e<strong>\u6578\u9031\u7e2e\u77ed\u81f3\u6578\u5929<\/strong>\uff08\u9006\u6642\u504f\u79fb\u6f14\u7b97\u6cd5\u5834\u666f\uff09\u3002<\/li>\n<li>\u5bc6\u5ea6\u6cdb\u51fd\u7406\u8ad6\uff08DFT\uff09\u7b49\u91cf\u5b50\u5316\u5b78\u61c9\u7528\uff0c\u53d7\u76ca\u65bcNVLink\u7684\u8a18\u61b6\u9ad4\u4e00\u81f4\u6027\uff0c\u53ef\u5728\u5206\u6563\u5f0fGPU\u4e0a\u9032\u884c\u7cbe\u78ba\u7684\u96fb\u5b50\u5bc6\u5ea6\u8a08\u7b97\uff0c\u4e14\u4e0d\u640d\u5931\u7cbe\u5ea6\u3002<\/li>\n<\/ol>\n<p>    \u9019\u4e9b\u9032\u6b65\u5c07\u300c\u904b\u7b97\u53ef\u884c\u6027\u300d\u7684\u908a\u754c\u63a8\u5411\u4e86\u66f4\u8907\u96dc\u7684\u5834\u666f\uff0c\u540c\u6642\u58d3\u7e2e\u4e86\u5be6\u969b\u8017\u6642\u3002<\/p>\n<h3><strong>3. \u5716\u5f62\u8207\u6e32\u67d3<\/strong><\/h3>\n<p>\u5728\u8996\u89ba\u904b\u7b97\u8ca0\u8f09\u4e2d\uff1a<\/p>\n<ul>\n<li>\u82f1\u5049\u9054Omniverse\u7b49\u5e73\u53f0\u7684\u5373\u6642\u5149\u7dda\u8ffd\u8e64\u529f\u80fd\uff0c\u4f9d\u8cf4NVLink\u5728GPU\u9593\u5206\u6563\u5f0f\u90e8\u7f72\u8907\u96dc\u5834\u666f\u5716\uff0c\u5be6\u73fe4K 60\u5e40\u7684\u7167\u7247\u7d1a\u771f\u5be6\u611f\u4e92\u52d5\u6e32\u67d3\u2014\u2014\u9019\u662fPCIe\u983b\u5bec\u7121\u6cd5\u652f\u6490\u7684\u3002<\/li>\n<li>\u63a1\u7528NVLink\u4f3a\u670d\u5668\u7684\u5f71\u8996\u52d5\u756b\u5de5\u4f5c\u5ba4\u5831\u544a\u7a31\uff0c\u5206\u6563\u5f0f\u6e32\u67d3\u6d41\u6c34\u7dda\u7684<strong>\u55ae\u5e40\u5b8c\u6210\u6642\u9593\u7e2e\u77ed25%<\/strong>\uff0c\u5c0d\u6eff\u8db3\u7dca\u5f35\u7684\u88fd\u4f5c\u9031\u671f\u81f3\u95dc\u91cd\u8981\u3002<\/li>\n<li>\u82f1\u5049\u9054GeForce NOW\u7b49\u96f2\u7aef\u904a\u6232\u670d\u52d9\uff0c\u85c9\u52a9NVLink\u52d5\u614b\u6c60\u5316GPU\u8cc7\u6e90\uff0c\u5373\u4f7f\u5728\u9ad8\u5cf0\u6642\u6bb5\u4e5f\u80fd\u4fdd\u969c\u4f4e\u5ef6\u9072\u4e32\u6d41\u50b3\u8f38\u3002<\/li>\n<\/ul>\n<p>    \u9019\u9805\u6280\u8853\u586b\u88dc\u4e86\u300c\u85dd\u8853\u9858\u666f\u300d\u8207\u300c\u6280\u8853\u53ef\u884c\u6027\u300d\u4e4b\u9593\u7684\u9d3b\u6e9d\u3002<\/p>\n<h2><strong>\u56db\u3001\u751f\u614b\u7cfb\u7d71\u8207\u61c9\u7528\u73fe\u72c0<\/strong><\/h2>\n<p>NVLink\u7684\u4e3b\u5c0e\u5730\u4f4d\u4e0d\u50c5\u6e90\u65bc\u6280\u8853\u512a\u52e2\uff0c\u66f4\u5f97\u76ca\u65bc\u652f\u63f4\u5176\u6574\u5408\u7684\u5b8c\u5584\u751f\u614b\u7cfb\u7d71\uff1a<\/p>\n<h3><strong>1. \u786c\u9ad4\u5408\u4f5c<\/strong><\/h3>\n<p>\u4e3b\u6d41\u4f3a\u670d\u5668\u539f\u59cb\u8a2d\u5099\u88fd\u9020\u5546\uff08OEM\uff09\u5df2\u5c07NVLink\u505a\u70ba\u9ad8\u968e\u7522\u54c1\u7684\u6838\u5fc3\u7279\u6027\uff1a<\/p>\n<ul>\n<li>\u6234\u723e\u6613\u5b89\u4fe1PowerEdge XE9680\u652f\u63f4\u6700\u591a8\u584aGPU\u7684\u5168NVLink\u4e92\u806f\uff0c\u7784\u6e96\u4f01\u696dAI\u5be6\u9a57\u5ba4\u8207HPC\u4e2d\u5fc3\u3002<\/li>\n<li>HPE Apollo 6500 Gen10 Plus\u6700\u4f73\u5316\u4e86\u6563\u71b1\u8207\u4f9b\u96fb\u8a2d\u8a08\uff0c\u4ee5\u9069\u914dNVLink\u8a2d\u5b9a\uff0c\u89e3\u6c7a\u9ad8\u983b\u5bec\u4e92\u806f\u5e36\u4f86\u7684\u71b1\u7ba1\u7406\u6311\u6230\u3002<\/li>\n<li>\u8d85\u5fae\uff08Supermicro\uff09\u7684AI\u8d85\u7d1a\u4f3a\u670d\u5668\u85c9\u52a9NVLink\u5efa\u69cb\u9ad8\u5bc6\u5ea6\u3001\u53ef\u64f4\u5145\u53e2\u96c6\uff0c\u6df1\u53d7\u642d\u5efaGPU\u5373\u670d\u52d9\uff08GPUaaS\uff09\u5e73\u53f0\u7684\u96f2\u7aef\u670d\u52d9\u5546\u9752\u775e\u3002<\/li>\n<\/ul>\n<p>    \u9019\u7a2e\u786c\u9ad4\u652f\u63f4\u78ba\u4fddNVLink\u80fd\u8986\u84cb\u5f9e\u6a5f\u67b6\u5f0f\u4f3a\u670d\u5668\u5230\u8d85\u7d1a\u96fb\u8166\u7bc0\u9ede\u7684\u5168\u5f62\u614b\u9700\u6c42\u3002<\/p>\n<h3><strong>2. \u8edf\u9ad4\u5806\u758a\u6700\u4f73\u5316<\/strong><\/h3>\n<p>\u82f1\u5049\u9054CUDA\u5de5\u5177\u5305\u5305\u542b\u539f\u751fNVLink\u6700\u4f73\u5316\uff0c\u4e3b\u6d41\u6846\u67b6\u4e5f\u7d1b\u7d1b\u8ddf\u9032\u9002\u914d\uff1a<\/p>\n<ol>\n<li>TensorFlow\u7684\u5206\u6563\u5f0f\u7b56\u7565\u53ef\u81ea\u52d5\u5075\u6e2cNVLink\u9023\u63a5\uff0c\u4e26\u63a1\u7528\u91dd\u5c0d\u4f4e\u5ef6\u9072\u6700\u4f73\u5316\u7684\u96c6\u5408\u901a\u8a0a\u539f\u8a9e\u3002<\/li>\n<li>PyTorch\u7684NCCL\u51fd\u5f0f\u5eab\u5728NVLink\u4e0a\u5be6\u73fe\u7684all-reduce\u64cd\u4f5c\uff0c\u6bd4PCIe\u5feb30%\u2014\u2014\u9019\u5f97\u76ca\u65bc\u5c08\u7528\u6838\u5fc3\u5be6\u73fe\u3002<\/li>\n<li>OpenMPI\u8207MPI-3\u6a19\u6e96\u5305\u542bNVLink\u611f\u77e5\u5354\u8b70\uff0c\u4f7fHPC\u958b\u767c\u8005\u7121\u9700\u91cd\u5beb\u9057\u7559\u7a0b\u5f0f\u78bc\u5373\u53ef\u5229\u7528\u8a72\u4e92\u806f\u6280\u8853\u3002<\/li>\n<\/ol>\n<p>    \u9019\u7a2e\u8edf\u9ad4\u6210\u719f\u5ea6\u964d\u4f4e\u4e86\u65b0\u820a\u8ca0\u8f09\u7684\u61c9\u7528\u9580\u6abb\u3002<\/p>\n<h3><strong>3. \u7f8e\u570b\u4f3a\u670d\u5668\u7522\u696d\u7684\u5e02\u5834\u52d5\u614b<\/strong><\/h3>\n<p>\u5728\u7af6\u722d\u6fc0\u70c8\u7684\u7f8e\u570b\u4f3a\u670d\u5668\u79df\u7528\u8207\u4ee3\u7ba1\u9818\u57df\uff1a<\/p>\n<ul>\n<li>\u9762\u5411AI\u65b0\u5275\u4f01\u696d\u7684\u8cc7\u6599\u4e2d\u5fc3\u512a\u5148\u8a2d\u5b9aNVLink\u4f3a\u670d\u5668\uff0c\u56e0\u70ba\u5ba2\u6236\u9858\u610f\u70ba\u7e2e\u77ed\u8a13\u7df4\u6642\u9593\u652f\u4ed8\u6ea2\u50f9\u3002<\/li>\n<li>\u4f01\u696dIT\u90e8\u9580\u5728\u7e3d\u6301\u6709\u6210\u672c\uff08TCO\uff09\u8a55\u4f30\u4e2d\u767c\u73fe\uff1a\u5118\u7ba1NVLink\u6703\u589e\u52a0\u524d\u671f\u786c\u9ad4\u6210\u672c\uff0c\u4f46\u7814\u767c\u751f\u7522\u529b\u7684\u63d0\u5347\u8db3\u4ee5\u8b49\u660e\u6295\u8cc7\u5408\u7406\u6027\u2014\u2014\u5c24\u5176\u5c0d\u6642\u9593\u654f\u611f\u578b\u61c9\u7528\u3002<\/li>\n<li>\u7f8e\u570b\u570b\u9632\u9ad8\u7d1a\u7814\u7a76\u8a08\u756b\u5c40\uff08DARPA\uff09\u3001\u7f8e\u570b\u570b\u5bb6\u822a\u7a7a\u66a8\u592a\u7a7a\u7e3d\u7f72\uff08NASA\uff09\u7b49\u653f\u5e9c\u6a5f\u69cb\uff0c\u5728AI\u9a45\u52d5\u7814\u7a76\u8207\u4efb\u52d9\u95dc\u9375\u578b\u6a21\u64ec\u7684\u63a1\u8cfc\u9700\u6c42\u4e2d\uff0c\u660e\u78ba\u6307\u5b9aNVLink\u652f\u63f4\u3002<\/li>\n<\/ul>\n<p>    \u8a72\u6280\u8853\u5df2\u6210\u70ba\u64c1\u64e0\u5e02\u5834\u4e2d\u7684\u6838\u5fc3\u5dee\u7570\u5316\u8981\u7d20\u3002<\/p>\n<h2><strong>\u4e94\u3001\u6311\u6230\u8207\u672a\u4f86\u65b9\u5411<\/strong><\/h2>\n<p>\u4efb\u4f55\u6280\u8853\u90fd\u5b58\u5728\u53d6\u6368\uff0cNVLink\u5728\u898f\u6a21\u5316\u61c9\u7528\u4e2d\u4e5f\u9762\u81e8\u6311\u6230\uff1a<\/p>\n<h3><strong>1. \u7576\u524d\u4fb7\u9650<\/strong><\/h3>\n<ul>\n<li><strong>\u6210\u672c<\/strong>\uff1a\u652f\u63f4NVLink\u7684GPU\u8207\u4e3b\u6a5f\u677f\u50f9\u683c\u8f03\u9ad8\uff0c\u4f7f\u5c0f\u578b\u5718\u968a\u96e3\u4ee5\u8ca0\u64d4\u5165\u9580\u7d1a\u591aGPU\u8a2d\u5b9a\u3002<\/li>\n<li><strong>\u62d3\u64b2\u7d04\u675f<\/strong>\uff1a\u5be6\u73fe\u6700\u5927\u983b\u5bec\u6240\u9700\u7684\u5168\u4e92\u806f\u62d3\u64b2\uff0c\u5728\u5927\u578b\u53e2\u96c6\uff08\u8d85\u904e8-16\u584aGPU\uff09\u4e2d\u90e8\u7f72\u8907\u96dc\uff0c\u9700\u4f9d\u8cf4\u4ea4\u63db\u7d50\u69cb\u624d\u80fd\u64f4\u5145\u3002<\/li>\n<li><strong>\u591a\u5ee0\u5546\u76f8\u5bb9\u6027<\/strong>\uff1a\u505a\u70ba\u82f1\u5049\u9054\u5c08\u5c6c\u6280\u8853\uff0cNVLink\u7121\u6cd5\u8207AMD\u6216\u82f1\u7279\u723eGPU\u4e92\u64cd\u4f5c\uff0c\u9650\u5236\u4e86\u7570\u69cb\u904b\u7b97\u74b0\u5883\u7684\u61c9\u7528\u3002<\/li>\n<\/ul>\n<h3><strong>2. 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