{"id":35606,"date":"2026-08-26T16:51:00","date_gmt":"2026-08-26T08:51:00","guid":{"rendered":"https:\/\/www.varidata.com\/uncategorized-zh-cn\/gpu-acceleration-for-ai-using-us-high-configuration-servers\/"},"modified":"2026-08-26T16:55:01","modified_gmt":"2026-08-26T08:55:01","slug":"gpu-acceleration-for-ai-using-us-high-configuration-servers","status":"publish","type":"post","link":"https:\/\/www.varidata.com\/zh-cn\/knowledge\/gpu-acceleration-for-ai-using-us-high-configuration-servers\/","title":{"rendered":"\u5229\u7528\u7f8e\u56fd\u9ad8\u914d\u7f6e\u670d\u52a1\u5668\u7684GPU\u52a0\u901f\u89e3\u51b3\u65b9\u6848\u8fdb\u884cAI\u6a21\u578b\u8bad\u7ec3"},"content":{"rendered":"<style>\n    table, th, td {\n        border: 1px solid black;\n        border-collapse: collapse;\n    }\n<\/style>\n<p>\u4f60\u6b63\u9762\u4e34\u4e00\u4e2a\u4e25\u5cfb\u7684\u73b0\u5b9e\u3002<a target=\"_blank\" href=\"https:\/\/www.varidata.com\/zh-cn\/knowledge\/nvidias-latest-rubin-platform-sets-a-new-standard-for-ai\/\">AI \u6a21\u578b<\/a>\u6b63\u4ee5\u6307\u6570\u7ea7\u589e\u957f\u3002\u81ea 2010 \u5e74\u4ee5\u6765\uff0c\u6a21\u578b\u53c2\u6570\u51e0\u4e4e\u6bcf\u5e74\u7ffb\u4e00\u500d\uff0c\u6700\u5927\u5df2\u8bb0\u5f55\u7684\u6a21\u578b\u8fbe\u5230 1.6 \u4e07\u4ebf\u53c2\u6570\u3002\u8bad\u7ec3\u7b97\u529b\u6bcf\u516d\u4e2a\u6708\u7ffb\u500d\u3002Epoch AI \u9884\u6d4b\uff0c\u8fd9\u4e00\u8d8b\u52bf\u5c06\u4ee5\u6bcf\u5e74 4\u20135 \u500d\u7684\u901f\u5ea6\u7ee7\u7eed\u3002\u4f60\u5f53\u524d\u7684\u57fa\u7840\u8bbe\u65bd\u6839\u672c\u65e0\u6cd5\u8ddf\u4e0a\u3002<\/p>\n<p>\u7b54\u6848\u5728\u4e8e\u7cbe\u5fc3\u6784\u5efa\u7684 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848\u3002\u53ef\u7528\u7684<a target=\"_self\" href=\"https:\/\/www.varidata.com\/zh-cn\/server\/los-angeles\/cn2\/\">\u7f8e\u56fd\u9ad8\u914d\u7f6e\u670d\u52a1\u5668<\/a>\u80fd\u591f\u63d0\u4f9b\u4f60\u6240\u9700\u7684\u5e76\u884c\u8ba1\u7b97\u80fd\u529b\u3002\u672c\u6307\u5357\u5c06\u4e3a\u4f60\u62c6\u89e3\u6574\u4e2a\u8fc7\u7a0b\u3002\u4f60\u5c06\u5b66\u4f1a\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684 GPU\u3001\u4f18\u5316\u6027\u80fd\u5e76\u63a7\u5236\u6210\u672c\u3002\u4f60\u5c06\u7406\u89e3\u5176\u4e2d\u6d89\u53ca\u7684\u786c\u4ef6\u3001\u8f6f\u4ef6\u4ee5\u53ca\u6218\u7565\u51b3\u7b56\u3002\u4f60\u5c06\u83b7\u5f97\u6709\u6548\u52a0\u901f AI \u9879\u76ee\u7684\u5173\u952e\u77e5\u8bc6\u3002<\/p>\n<h2>\u5173\u952e\u8981\u70b9<\/h2>\n<ul>\n<li>\n<p>GPU \u52a0\u901f\u5bf9\u73b0\u4ee3 AI \u8bad\u7ec3\u81f3\u5173\u91cd\u8981\uff0c\u76f8\u8f83 CPU \u53ef\u5b9e\u73b0 50\u2013100 \u500d\u52a0\u901f\u3002<\/p>\n<\/li>\n<li>\n<p>\u6839\u636e\u6a21\u578b\u89c4\u6a21\u548c\u5de5\u4f5c\u8d1f\u8f7d\u9009\u62e9 GPU\uff1bA100 \u548c H100 \u662f\u5927\u578b\u6a21\u578b\u7684\u9996\u9009\u3002<\/p>\n<\/li>\n<li>\n<p>\u901a\u8fc7\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u548c PyTorch \u7b49\u5206\u5e03\u5f0f\u6846\u67b6\u4f18\u5316\u6027\u80fd\u3002<\/p>\n<\/li>\n<li>\n<p>\u4e91\u7aef GPU \u5b9e\u4f8b\u5177\u5907\u66f4\u4f4e\u524d\u671f\u6210\u672c\u548c\u9ad8\u6269\u5c55\u6027\uff0c\u800c\u672c\u5730\u90e8\u7f72\u5219\u63d0\u4f9b\u66f4\u9ad8\u63a7\u5236\u529b\u548c\u66f4\u4f4e\u5ef6\u8fdf\u3002<\/p>\n<\/li>\n<li>\n<p>\u5728\u6027\u80fd\u3001\u9884\u7b97\u548c\u53ef\u6269\u5c55\u6027\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861\uff0c\u624d\u80fd\u8ba9\u4f60\u7684 AI \u57fa\u7840\u8bbe\u65bd\u5177\u5907\u524d\u77bb\u6027\u3002<\/p>\n<\/li>\n<\/ul>\n<h2>\u4e3a\u4ec0\u4e48\u9700\u8981 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848<\/h2>\n<h3>\u73b0\u4ee3 AI \u7684\u8ba1\u7b97\u9700\u6c42<\/h3>\n<p>\u8bad\u7ec3\u4e00\u4e2a\u7c7b\u4f3c GPT-4 \u7684\u6a21\u578b\uff0c\u9884\u8ba1\u9700\u8981 1.73 \u00d7 10^25 \u6b21\u6d6e\u70b9\u8fd0\u7b97\u3002\u8fd9\u4e2a\u6570\u5b57\u51e0\u4e4e\u65e0\u6cd5\u76f4\u89c2\u7406\u89e3\u3002\u4e0d\u59a8\u4ece\u786c\u4ef6\u5165\u624b\u3002\u5728 SemiAnalysis \u7684\u5047\u8bbe\u573a\u666f\u4e0b\uff0c\u8bad\u7ec3 GPT-4 \u9700\u8981\u4e0a\u5343\u5757 GPU \u6301\u7eed\u8fd0\u884c\u6570\u6708\u3002\u5728 20% \u6a21\u578b FLOPs \u5229\u7528\u7387\u4e0b\uff0c\u4f60\u9700\u8981 8,800 \u5757 GPU \u8fd0\u884c\u4e00\u5e74\uff1b\u5728 50% \u5229\u7528\u7387\u4e0b\uff0c\u8fd9\u4e00\u6570\u5b57\u4e0b\u964d\u5230 3,520 \u5757\u3002\u5373\u4f7f\u5c06\u670d\u52a1\u5668\u5bff\u547d\u62c9\u957f\u5230\u4e09\u5e74\uff0c\u5728 20% \u5229\u7528\u7387\u4e0b\u4f60\u4ecd\u7136\u9700\u8981 2,934 \u5757 GPU\u3002<\/p>\n<p>\u8fd9\u4e9b\u6570\u5b57\u63ed\u793a\u4e86\u4e00\u4e2a\u6839\u672c\u4e8b\u5b9e\uff1a\u73b0\u4ee3 AI \u6a21\u578b\u5df2\u7ecf\u8fdc\u8fdc\u8d85\u51fa\u4f20\u7edf\u8ba1\u7b97\u67b6\u6784\u7684\u80fd\u529b\u3002\u5927\u578b\u8bed\u8a00\u6a21\u578b\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u7cfb\u7edf\u4f1a\u540c\u65f6\u5904\u7406\u6570\u5341\u4ebf\u4e2a\u53c2\u6570\u3002\u6bcf\u4e00\u6b21\u8bad\u7ec3\u8fed\u4ee3\u90fd\u9700\u8981\u6267\u884c\u6570\u4ee5\u767e\u4e07\u8ba1\u7684\u77e9\u9635\u4e58\u6cd5\u3002\u4f60\u7684 CPU \u65e0\u6cd5\u9ad8\u6548\u627f\u62c5\u8fd9\u6837\u7684\u8d1f\u8f7d\u3002\u5408\u7406\u6784\u5efa\u7684 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848\u4f1a\u76f4\u63a5\u5f71\u54cd\u6a21\u578b\u7cbe\u5ea6\u548c\u8bad\u7ec3\u901f\u5ea6\u3002\u8fd9\u9879\u6295\u8d44\u51b3\u5b9a\u4e86\u4f60\u7684\u9879\u76ee\u662f\u6210\u529f\u63a8\u8fdb\u8fd8\u662f\u88ab\u8feb\u505c\u6ede\u3002<\/p>\n<h3>\u4ece CPU \u5230\u5e76\u884c\u8ba1\u7b97\u7684\u8f6c\u53d8<\/h3>\n<p>CPU \u6309\u987a\u5e8f\u6267\u884c\u4efb\u52a1\uff0c\u64c5\u957f\u5904\u7406\u590d\u6742\u3001\u5206\u652f\u8f83\u591a\u7684\u903b\u8f91\u3002GPU \u5219\u4e0d\u540c\uff0c\u5b83\u62e5\u6709\u6210\u5343\u4e0a\u4e07\u4e2a\u4e3a\u5e76\u884c\u6267\u884c\u800c\u8bbe\u8ba1\u7684\u6838\u5fc3\u3002\u8fd9\u79cd\u67b6\u6784\u5dee\u5f02\u5e26\u6765\u4e86\u5de8\u5927\u6027\u80fd\u5dee\u8ddd\u3002<\/p>\n<div fullwidth=\"\" 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\">\n<p>\u6307\u6807<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>GPU \u6027\u80fd<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>CPU \u6027\u80fd<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>GPU \u4f18\u52bf<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u8ba1\u7b97\u541e\u5410\u91cf<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>&gt;100 teraFLOPS<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>1\u20132 teraFLOPS<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>50\u2013100 \u500d<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5185\u5b58\u5e26\u5bbd<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>1\u20132 TB\/s<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7ea6 100 GB\/s<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>10\u201320 \u500d<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>ImageNet CNN \u8bad\u7ec3\u65f6\u95f4<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>1\u20132 \u5929\uff08\u5355\u5f20 V100\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>2\u20133 \u5468<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>10\u201350 \u500d<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>BERT \u8bad\u7ec3\u65f6\u95f4<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>4 \u5929\uff088 \u5f20 V100 GPU\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>1\u20132 \u4e2a\u6708<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7ea6 7\u201315 \u500d<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u6570\u636e\u5df2\u7ecf\u8bf4\u660e\u4e00\u5207\u3002\u65af\u5766\u798f\u7814\u7a76\u4eba\u5458\u53d1\u73b0\uff0c\u76f8\u6bd4 CPU\uff0c\u91c7\u7528 GPU \u52a0\u901f\u7684\u5377\u79ef\u7f51\u7edc\u53ef\u4ee5\u5b9e\u73b0 20 \u500d\u4ee5\u4e0a\u7684\u52a0\u901f\u3002\u80fd\u6548\u540c\u6837\u5927\u5e45\u63d0\u5347\uff1a\u5728\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\u4e0a\uff0cGPU \u52a0\u901f\u7684\u80fd\u6548\u6700\u9ad8\u53ef\u63d0\u5347 15 \u500d\u3002\u4ee5\u6027\u80fd\u6298\u7b97\u540e\u7684\u603b\u4f53\u62e5\u6709\u6210\u672c\u6765\u770b\uff0cGPU \u7cfb\u7edf\u5728\u6df1\u5ea6\u5b66\u4e60\u8d1f\u8f7d\u4e0a\u80fd\u591f\u63d0\u4f9b 3\u20134 \u500d\u7684\u4f18\u52bf\u3002<\/p>\n<p>\u201cGPU \u52a0\u901f\u53ef\u4ee5\u5c06\u590d\u6742\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u65f6\u95f4\u4ece\u6570\u5468\u7f29\u77ed\u5230\u6570\u5929\uff0c\u751a\u81f3\u6570\u5c0f\u65f6\uff0c\u5f7b\u5e95\u6539\u53d8 AI \u5f00\u53d1\u7684\u8282\u594f\u3002\u201d\u2014\u2014<em>\u300a\u673a\u5668\u5b66\u4e60\u7814\u7a76\u671f\u520a\u300b\uff08Journal of Machine Learning Research\uff09<\/em><\/p>\n<p>\u4f60\u5fc5\u987b\u505a\u51fa\u9009\u62e9\uff1a\u7ee7\u7eed\u4f9d\u8d56 CPU \u67b6\u6784\uff0c\u5e76\u63a5\u53d7\u52a8\u8f84\u6570\u5468\u7684\u8bad\u7ec3\u5468\u671f\uff1b\u8fd8\u662f\u91c7\u7528 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848\uff0c\u628a\u8bad\u7ec3\u65f6\u95f4\u538b\u7f29\u5230\u51e0\u5929\u3002\u540e\u8005\u610f\u5473\u7740\u66f4\u5feb\u7684\u8fed\u4ee3\u901f\u5ea6\u3001\u66f4\u591a\u7684\u5b9e\u9a8c\u673a\u4f1a\uff0c\u4ee5\u53ca\u6700\u7ec8\u66f4\u597d\u7684\u6a21\u578b\u8868\u73b0\u3002\u5bf9\u4e8e\u4efb\u4f55\u4e25\u8083\u7684 AI \u9879\u76ee\u800c\u8a00\uff0c\u9009\u62e9\u5df2\u7ecf\u975e\u5e38\u660e\u786e\u3002<\/p>\n<h2>\u9ad8\u6027\u80fd AI \u670d\u52a1\u5668\u7684\u6838\u5fc3\u7ec4\u6210<\/h2>\n<h3>\u6838\u5fc3\u52a8\u529b\uff1aNVIDIA A100 \u4e0e H100 GPU<\/h3>\n<p>\u4f60\u7684 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848\u4ece\u52a0\u901f\u5361\u672c\u8eab\u5f00\u59cb\u3002NVIDIA \u7684 A100 \u548c H100 \u51e0\u4e4e\u7edf\u6cbb\u4e86 AI \u8bad\u7ec3\u9886\u57df\u3002\u8fd9\u4e9b GPU \u63d0\u4f9b\u4e86 CPU \u65e0\u6cd5\u6bd4\u62df\u7684\u5927\u89c4\u6a21\u5e76\u884c\u8ba1\u7b97\u80fd\u529b\u3002H100 \u662f\u76ee\u524d\u7684\u65d7\u8230\u4ea7\u54c1\uff0c\u5176 FP16 \u6027\u80fd\u5927\u7ea6\u53ef\u8fbe 2,000 teraFLOPS\uff0c\u800c A100 \u5219\u4e3a 312 teraFLOPS\u3002\u8fd9\u4e00\u5dee\u8ddd\u4f1a\u76f4\u63a5\u53cd\u6620\u5728\u8bad\u7ec3\u901f\u5ea6\u4e0a\u3002<\/p>\n<p>\u5185\u5b58\u5e26\u5bbd\u540c\u6837\u5173\u952e\u3002H100 \u91c7\u7528\u5e26\u5bbd\u8fbe 3,200 GB\/s \u7684 HBM3 \u5185\u5b58\uff1bA100 \u7684 80GB \u7248\u672c\u4f7f\u7528\u5e26\u5bbd\u4e3a 1,935 GB\/s \u7684 HBM2e\u3002\u63a5\u8fd1\u4e24\u500d\u7684\u5e26\u5bbd\u610f\u5473\u7740\u5728\u8bad\u7ec3\u8fed\u4ee3\u4e2d\u66f4\u5feb\u7684\u6570\u636e\u4f20\u8f93\u3002\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u63a8\u8350\u7cfb\u7edf\u7b49\u5927\u578b\u6a21\u578b\u800c\u8a00\uff0cA100 80GB \u6bcf\u4e2a\u8282\u70b9\u53ef\u5b9e\u73b0\u6700\u9ad8 1.3 TB \u7684\u7edf\u4e00\u5185\u5b58\uff0c\u76f8\u6bd4 40GB \u7248\u672c\u5e26\u6765\u6700\u9ad8 3 \u500d\u7684\u541e\u5410\u63d0\u5347\u3002<\/p>\n<p>\u5bf9\u4e8e\u5305\u542b\u6d77\u91cf\u6570\u636e\u8868\u7684\u8d85\u5927\u89c4\u6a21\u6a21\u578b\uff08\u4f8b\u5982\u6df1\u5ea6\u5b66\u4e60\u63a8\u8350\u6a21\u578b DLRM\uff09\uff0cA100 80GB \u6bcf\u8282\u70b9\u53ef\u63d0\u4f9b\u9ad8\u8fbe 1.3 TB \u7684\u7edf\u4e00\u5185\u5b58\uff0c\u5e76\u80fd\u5b9e\u73b0\u6700\u591a 3 \u500d\u4e8e A100 40GB \u7684\u541e\u5410\u91cf\u63d0\u5347\u3002<\/p>\n<p>H100 \u8fd8\u5f15\u5165\u4e86 FP8 Tensor Core \u652f\u6301\uff0c\u5176\u6027\u80fd\u53ef\u8fbe 4,000 teraFLOPS\uff0c\u800c A100 \u5b8c\u5168\u4e0d\u652f\u6301 FP8\u3002\u5bf9\u4e8e\u62e5\u6709 1,750 \u4ebf\u53c2\u6570\u7684 GPT-3 \u7ea7\u522b\u6a21\u578b\uff0cH100 \u7684\u8bad\u7ec3\u901f\u5ea6\u53ef\u6bd4 A100 \u5feb\u81f3 4 \u500d\u3002\u4f60\u9700\u8981\u5728\u6027\u80fd\u6536\u76ca\u4e0e\u6210\u672c\u4e4b\u95f4\u6743\u8861\uff1aA100 \u96f6\u552e\u4ef7\u7ea6\u4e3a 17,000 \u7f8e\u5143\uff0c\u800c H100 \u7ea6\u4e3a 30,000 \u7f8e\u5143\u3002\u79df\u7528\u4ef7\u683c\u540c\u6837\u4f53\u73b0\u4e86\u8fd9\u4e00\u5dee\u8ddd\uff1aA100 \u5b9e\u4f8b\u7ea6\u4e3a\u6bcf\u5c0f\u65f6 1.50 \u7f8e\u5143\uff0c\u800c H100 \u5b9e\u4f8b\u5219\u5728\u6bcf\u5c0f\u65f6 3\u201310 \u7f8e\u5143\u4e4b\u95f4\u3002<\/p>\n<div fullwidth=\"\" 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\">\n<p>\u6307\u6807<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>A100<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>H100<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>FP16 Tensor Core<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>312 TFLOPS<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>2,000 TFLOPS<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5185\u5b58\u5e26\u5bbd<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>1,935 GB\/s\uff0880GB\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>3,200 GB\/s<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>FP8 Tensor Core<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u4e0d\u652f\u6301<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>4,000 TFLOPS<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6700\u5927 TDP\uff08SXM\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>400W<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>700W<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h3>\u914d\u89d2\u9635\u5bb9\uff1aCPU\u3001\u5185\u5b58\u4e0e\u5b58\u50a8<\/h3>\n<p>GPU \u65e0\u6cd5\u5355\u72ec\u5de5\u4f5c\u3002\u4f60\u7684\u670d\u52a1\u5668\u67b6\u6784\u5fc5\u987b\u4e3a\u52a0\u901f\u5361\u63d0\u4f9b\u6301\u7eed\u7a33\u5b9a\u7684\u6570\u636e\u4f9b\u7ed9\uff0c\u907f\u514d\u51fa\u73b0\u74f6\u9888\u3002CPU \u8d1f\u8d23\u7cfb\u7edf\u8c03\u5ea6\u4e0e\u6570\u636e\u7f16\u6392\uff0c\u5904\u7406\u4e0d\u9002\u5408\u5927\u89c4\u6a21\u5e76\u884c\u7684\u4efb\u52a1\u3002\u4f60\u9700\u8981\u4e00\u9897\u81f3\u5c11 16 \u7269\u7406\u6838\u5fc3\u7684\u670d\u52a1\u5668\u7ea7 AMD EPYC \u6216 Intel Xeon \u5904\u7406\u5668\u3002\u8db3\u591f\u5f3a\u7684\u5355\u6838\u6027\u80fd\u53ef\u4ee5\u907f\u514d CPU \u62d6\u7d2f GPU\u3002<\/p>\n<p>\u5185\u5b58\u662f\u8fde\u63a5 CPU\u3001GPU \u4e0e\u5b58\u50a8\u7684\u6865\u6881\u3002\u7cfb\u7edf\u5185\u5b58\u5bb9\u91cf\u81f3\u5c11\u5e94\u4e3a GPU \u663e\u5b58\u603b\u548c\u7684\u4e24\u500d\u3002\u5bf9\u4e8e\u4e00\u53f0\u642d\u8f7d 8 \u5f20 80GB GPU \u7684\u670d\u52a1\u5668\u800c\u8a00\uff0c\u81f3\u5c11\u9700\u8981 1.28 TB \u5185\u5b58\u3002\u5185\u5b58\u4e0d\u8db3\u4f1a\u5bfc\u81f4\u9891\u7e41\u4ea4\u6362\uff0c\u8fdb\u800c\u4e25\u91cd\u62d6\u6162\u8bad\u7ec3\u901f\u5ea6\u3002\u5b58\u50a8\u5c42\u9762\u5219\u5fc5\u987b\u9009\u62e9 NVMe SSD\uff0c\u673a\u68b0\u786c\u76d8\u6839\u672c\u8ddf\u4e0d\u4e0a\u6d3b\u8dc3 AI \u8d1f\u8f7d\u30021TB NVMe SSD \u662f\u5408\u7406\u7684\u8d77\u70b9\uff0c\u5e76\u5efa\u8bae\u5c06\u64cd\u4f5c\u7cfb\u7edf\u548c\u6a21\u578b\u6570\u636e\u5206\u76d8\u5b58\u653e\u3002<\/p>\n<p>\u7f51\u7edc\u662f\u6700\u540e\u4e00\u5757\u62fc\u56fe\u3002\u591a\u670d\u52a1\u5668\u5206\u5e03\u5f0f\u8bad\u7ec3\u9700\u8981\u9ad8\u5e26\u5bbd\u4e92\u8054\uff0c10GbE\u300125GbE \u6216 InfiniBand \u7b49\u65b9\u6848\u53ef\u4ee5\u907f\u514d\u6570\u636e\u4f20\u8f93\u6210\u4e3a\u74f6\u9888\u3002Exxact\u3001Cisco \u7b49\u9886\u5148\u4f9b\u5e94\u5546\u63d0\u4f9b\u9762\u5411 HPC \u548c AI \u5de5\u4f5c\u8d1f\u8f7d\u4f18\u5316\u7684 GPU \u670d\u52a1\u5668\uff0c\u8fd9\u4e9b\u7cfb\u7edf\u901a\u5e38\u652f\u6301 PCIe 4.0 \u6216 5.0\uff0c\u5e76\u914d\u5907\u9ad8\u7ea7\u6563\u70ed\u65b9\u6848\u3002\u9ad8\u98ce\u91cf\u8bbe\u8ba1\u53ef\u5728\u957f\u65f6\u95f4\u9ad8\u8d1f\u8f7d\u4e0b\u7ef4\u6301\u7a33\u5b9a\u6027\u80fd\u3002\u4e00\u4e2a\u5b8c\u5584\u7684 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848\u4f9d\u8d56\u4e8e\u6240\u6709\u7ec4\u4ef6\u7684\u534f\u540c\u5de5\u4f5c\u3002<\/p>\n<h2>\u4e3a\u4f60\u7684\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684 GPU \u670d\u52a1\u5668<\/h2>\n<h3>\u5c06\u786c\u4ef6\u4e0e\u6a21\u578b\u89c4\u6a21\u548c\u590d\u6742\u5ea6\u5339\u914d<\/h3>\n<p>\u6a21\u578b\u53c2\u6570\u89c4\u6a21\u76f4\u63a5\u51b3\u5b9a\u4f60\u7684\u786c\u4ef6\u9700\u6c42\u3002\u4e00\u4e2a 70 \u4ebf\u53c2\u6570\u7684\u6a21\u578b\uff0c\u5728 FP16 \u63a8\u7406\u65f6\u5927\u7ea6\u9700\u8981 12\u201313 GB \u663e\u5b58\uff1b130 \u4ebf\u53c2\u6570\u7684\u6a21\u578b\u5927\u7ea6\u9700\u8981 24 GB\uff1b65B \u6a21\u578b\u5219\u4f1a\u8d85\u8fc7 130 GB \u663e\u5b58\uff0c\u8feb\u4f7f\u4f60\u91c7\u7528\u591a GPU \u67b6\u6784\u6216\u62e5\u6709 80GB \u663e\u5b58\u7684\u6570\u636e\u4e2d\u5fc3\u7ea7 GPU\u3002\u8fd9\u4e9b\u6570\u5b57\u6784\u6210\u4e86\u4f60\u7684\u8d77\u70b9\u3002<\/p>\n<p>\u8bad\u7ec3\u4f1a\u8fdb\u4e00\u6b65\u653e\u5927\u9700\u6c42\u3002\u8bad\u7ec3\u6240\u9700\u663e\u5b58\u901a\u5e38\u662f\u6a21\u578b\u5927\u5c0f\u7684 2\u20134 \u500d\u3002\u4e00\u4e2a 130 \u4ebf\u53c2\u6570\u6a21\u578b\u8bad\u7ec3\u5927\u7ea6\u9700\u8981 97 GB \u663e\u5b58\u3002LoRA\u3001\u68af\u5ea6\u68c0\u67e5\u70b9\uff08gradient checkpointing\uff09\u6216\u91cf\u5316\u7b49\u6280\u672f\u53ef\u4ee5\u964d\u4f4e\u8fd9\u4e00\u8d1f\u62c5\u3002\u56fe\u50cf\u6a21\u578b\u7684\u89c4\u5219\u6709\u6240\u4e0d\u540c\uff1aSDXL \u63a8\u7406\u81f3\u5c11\u9700\u8981 8 GB \u663e\u5b58\uff0c\u5efa\u8bae 16 GB\uff1bStyleGAN2 \u6216 StyleGAN3 \u7684\u8bad\u7ec3\u5219\u9700\u8981 1\u20138 \u5f20\u81f3\u5c11 12 GB \u663e\u5b58\u7684\u9ad8\u7aef GPU\u3002<\/p>\n<p>\u5de5\u4f5c\u8d1f\u8f7d\u7c7b\u578b\u540c\u6837\u91cd\u8981\u3002\u63a8\u7406\u670d\u52a1\u5668\u9700\u8981\u4e3a\u6bcf\u4e2a\u7528\u6237\u63d0\u4f9b\u5145\u8db3\u663e\u5b58\u53ca\u7a33\u5b9a\u8c03\u5ea6\uff1b\u8bad\u7ec3\u670d\u52a1\u5668\u5219\u66f4\u4f9d\u8d56 HBM \u5bb9\u91cf\u3001\u9ad8\u901f\u4e92\u8054\u548c\u6570\u636e\u4e2d\u5fc3\u7ea7\u6563\u70ed\u3002\u5bf9\u4e8e\u53c2\u6570\u91cf\u5728 100 \u4ebf\u4ee5\u5185\u7684\u5c0f\u6a21\u578b\uff0c\u672c\u5730\u5c0f\u578b\u96c6\u7fa4\u662f\u53ef\u884c\u8def\u5f84\u3002\u4e00\u4e2a 70 \u4ebf\u53c2\u6570\u6a21\u578b\u5728\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u4e0b\u5927\u7ea6\u4f7f\u7528 14 GB \u663e\u5b58\u3002\u4f60\u53ef\u4ee5\u4ece 4 \u5f20 16 GB \u663e\u5b58\u7684 GPU\uff08\u5982 RTX 3090 \u6216 4090\uff09\u8d77\u6b65\uff1b\u7406\u60f3\u914d\u7f6e\u5219\u662f 2\u20134 \u5f20 40GB A100\u3002\u8fd9\u4e00\u914d\u7f6e\u5728 8 \u5f20 A100 \u4e0a\u5927\u7ea6\u53ef\u5728\u4e00\u4e2a\u6708\u5185\u5b8c\u6210 1 \u4e07\u4ebf token \u7684\u8bad\u7ec3\u3002\u7cfb\u7edf\u5185\u5b58\u81f3\u5c11\u9700\u8981 128 GB\uff0c\u6570\u636e\u96c6\u5b58\u50a8 1\u20135 TB\uff0c\u68c0\u67e5\u70b9\u5927\u7ea6 500 GB\uff0c\u7f51\u7edc\u5e26\u5bbd\u5219\u5efa\u8bae\u8fbe\u5230 10 Gbps \u4ee5\u4e0a\u3002<\/p>\n<p>\u5e76\u884c\u7b56\u7565\u4f1a\u968f\u6a21\u578b\u89c4\u6a21\u800c\u53d8\u5316\u3002\u53c2\u6570\u91cf\u5c0f\u4e8e 70 \u4ebf\u7684\u6a21\u578b\uff0c\u4f7f\u7528 2\u20138 \u5f20 GPU \u505a\u6570\u636e\u5e76\u884c\u5373\u53ef\u53d6\u5f97\u4e0d\u9519\u6548\u679c\uff1b7B\u201370B \u4e4b\u95f4\u901a\u5e38\u9700\u8981\u6df7\u5408\u5e76\u884c\uff1b\u8d85\u8fc7 70B \u7684\u8d85\u5927\u6a21\u578b\uff0c\u5219\u9700\u8981\u5c06\u6d41\u6c34\u7ebf\u5e76\u884c\u3001\u5f20\u91cf\u5e76\u884c\u548c\u6570\u636e\u5e76\u884c\u7ed3\u5408\u4f7f\u7528\u3002\u4f18\u5316\u5668\u5185\u5b58\u9700\u6c42\u4f1a\u8fdb\u4e00\u6b65\u653e\u5927\u8fd9\u4e00\u6311\u6218\uff0c\u4f8b\u5982 Adam \u4f18\u5316\u5668\u901a\u5e38\u4f1a\u8ba9\u5185\u5b58\u5360\u7528\u589e\u52a0\u4e09\u500d\u3002<\/p>\n<h3>\u5728\u6027\u80fd\u3001\u9884\u7b97\u4e0e\u53ef\u6269\u5c55\u6027\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861<\/h3>\n<p>\u9884\u7b97\u4f1a\u5f71\u54cd\u4f60\u7684\u90e8\u7f72\u7b56\u7565\u3002\u4e91\u7aef GPU \u670d\u52a1\u5668\u63d0\u4f9b\u6309\u9700\u8bbf\u95ee\uff0c\u4e0d\u9700\u8981\u81ea\u5df1\u7ba1\u7406\u786c\u4ef6\uff0c\u91c7\u7528\u6309\u4f7f\u7528\u91cf\u8ba1\u8d39\u3002\u8fd9\u79cd\u6a21\u5f0f\u9002\u5408\u5468\u671f\u8f83\u77ed\u3001\u8d1f\u8f7d\u6ce2\u52a8\u8f83\u5927\u7684\u9879\u76ee\u3002\u4e13\u7528 GPU \u5b9e\u4f8b\u5219\u4e3a\u751f\u4ea7\u6a21\u578b\u63d0\u4f9b\u7a33\u5b9a\u6027\u80fd\u3002\u88f8\u91d1\u5c5e\u670d\u52a1\u5668\uff08bare-metal\uff09\u53ef\u8ba9\u4f60\u5b8c\u5168\u638c\u63a7\u786c\u4ef6\uff0c\u5e76\u6d88\u9664\u865a\u62df\u5316\u5f00\u9500\uff0c\u4f46\u6210\u672c\u66f4\u9ad8\uff0c\u4e5f\u9700\u8981\u66f4\u591a\u8fd0\u7ef4\u6295\u5165\u3002<\/p>\n<p>\u6210\u672c\u6548\u7387\u5173\u952e\u53d6\u51b3\u4e8e\u5229\u7528\u7387\u3002\u53ea\u6709\u5728\u4f60\u9700\u8981 7\u00d724 \u5c0f\u65f6\u8fd0\u884c\u5927\u89c4\u6a21\u8bad\u7ec3\u4efb\u52a1\u65f6\uff0c\u88f8\u91d1\u5c5e GPU \u624d\u5728\u7ecf\u6d4e\u4e0a\u66f4\u5212\u7b97\u3002\u865a\u62df\u5316 GPU \u5219\u53ef\u4ee5\u5c06\u4e00\u5757 A100 \u5207\u5206\u7ed9\u591a\u4e2a\u5de5\u4f5c\u8d1f\u8f7d\u4f7f\u7528\uff0c\u4f60\u53ef\u80fd\u53ea\u9700\u4e3a\u6bcf\u4e2a\u5de5\u4f5c\u8d1f\u8f7d\u652f\u4ed8\u6bcf\u5c0f\u65f6 2\u20133 \u7f8e\u5143\uff0c\u800c\u975e\u4e3a\u6574\u5757 GPU \u652f\u4ed8\u6bcf\u5c0f\u65f6 12 \u7f8e\u5143\uff0c\u4ece\u800c\u6700\u5927\u9650\u5ea6\u51cf\u5c11 GPU \u7a7a\u8f6c\u3002<\/p>\n<p>\u4e92\u8054\u6280\u672f\u4e5f\u4f1a\u663e\u8457\u5f71\u54cd\u6210\u672c\u4e0e\u6027\u80fd\u3002\u5bf9\u4e8e\u89c4\u6a21\u5728 512 \u5757 GPU \u4ee5\u5185\u7684\u96c6\u7fa4\uff0c\u57fa\u4e8e\u4ee5\u592a\u7f51\u7684 RoCE \u53ef\u4ee5\u5728\u6210\u672c\u7ea6\u4e3a InfiniBand \u4e00\u534a\u7684\u60c5\u51b5\u4e0b\uff0c\u63d0\u4f9b 85\u201395% \u7684\u6027\u80fd\uff1b\u5bf9\u4e8e 2,048 \u5757 GPU \u4ee5\u4e0a\u7684\u8d85\u5927\u89c4\u6a21\u96c6\u7fa4\uff0cInfiniBand \u7684\u6ea2\u4ef7\u5219\u66f4\u4e3a\u5408\u7406\u3002\u4f60\u9700\u8981\u6839\u636e\u5b9e\u9645\u96c6\u7fa4\u89c4\u6a21\u6765\u9009\u62e9\u3002<\/p>\n<p>\u60f3\u8981\u5177\u5907\u524d\u77bb\u6027\uff0c\u5c31\u5fc5\u987b\u63d0\u524d\u89c4\u5212\u3002\u5355\u670d\u52a1\u5668\u591a GPU \u914d\u7f6e\u53ef\u4ee5\u652f\u6491\u5206\u5e03\u5f0f\u8bad\u7ec3\uff1bGPU \u76f4\u901a\u4e0e\u5bb9\u5668\u652f\u6301\u5219\u5141\u8bb8\u4f60\u901a\u8fc7 Docker \u6216 Kubernetes \u5b9e\u73b0\u6a2a\u5411\u6269\u5c55\uff1b\u91c7\u7528 PCIe Gen4 NVMe SSD \u5e76\u914d\u7f6e RAID\uff0c\u53ef\u4ee5\u5728\u6570\u636e\u96c6\u6269\u5bb9\u65f6\u6709\u6548\u907f\u514d I\/O \u74f6\u9888\uff1b\u9ad8\u6838\u5fc3\u6570\u5904\u7406\u5668\u642d\u914d DDR5 ECC \u5185\u5b58\u53ef\u4ee5\u786e\u4fdd\u591a\u7ebf\u7a0b\u4efb\u52a1\u7a33\u5b9a\u8fd0\u884c\u3002<\/p>\n<p>\u4f60\u7684 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848\u5fc5\u987b\u5728\u5f53\u524d\u9700\u6c42\u4e0e\u672a\u6765\u589e\u957f\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861\u3002\u4ece\u5f53\u524d\u6a21\u578b\u9700\u6c42\u51fa\u53d1\uff0c\u9009\u62e9\u53ef\u4ee5\u540e\u7eed\u6269\u5c55 GPU \u6570\u91cf\uff0c\u6216\u5e73\u6ed1\u8fc1\u79fb\u5230\u4e91\u5b9e\u4f8b\u7684\u786c\u4ef6\u67b6\u6784\u3002\u8fd9\u79cd\u7b56\u7565\u80fd\u591f\u786e\u4fdd\u4f60\u7684\u6295\u8d44\u5728\u672a\u6765\u5f88\u957f\u4e00\u6bb5\u65f6\u95f4\u5185\u6301\u7eed\u4ea7\u751f\u4ef7\u503c\u3002<\/p>\n<h2>\u901a\u8fc7\u8f6f\u4ef6\u548c\u6846\u67b6\u4f18\u5316\u6027\u80fd<\/h2>\n<h3>\u5145\u5206\u5229\u7528 CUDA\u3001TensorFlow \u548c PyTorch<\/h3>\n<p>\u4f60\u7684 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848\u8fdc\u4e0d\u6b62\u786c\u4ef6\uff0c\u8f6f\u4ef6\u6808\u51b3\u5b9a\u4e86\u4f60\u80fd\u5426\u771f\u6b63\u69a8\u5e72\u8fd9\u4e9b\u6602\u8d35 GPU \u7684\u6027\u80fd\u3002CUDA \u662f NVIDIA GPU \u7684\u57fa\u77f3\uff0c\u8fd9\u4e00\u5e76\u884c\u8ba1\u7b97\u5e73\u53f0\u4e3a\u4f60\u63d0\u4f9b\u4e86\u8bbf\u95ee\u5e95\u5c42\u786c\u4ef6\u80fd\u529b\u7684\u63a5\u53e3\u3002\u5982\u679c\u9a71\u52a8\u4e0e CUDA \u5de5\u5177\u5305\u4e0d\u662f\u6700\u65b0\uff0c\u4f60\u5c31\u4f1a\u767d\u767d\u6d6a\u8d39\u53ef\u89c2\u7684\u6027\u80fd\u3002<\/p>\n<p>\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u7684\u9009\u62e9\u4f1a\u6781\u5927\u5f71\u54cd\u4f60\u7684\u65e5\u5e38\u5f00\u53d1\u4f53\u9a8c\u3002PyTorch \u4e0e TensorFlow \u5728 NVIDIA \u670d\u52a1\u5668\u4e0a\u90fd\u80fd\u63d0\u4f9b\u51fa\u8272\u6027\u80fd\uff0c\u4f46\u5404\u6709\u6240\u957f\u3002\u4e0b\u8868\u5c55\u793a\u4e86\u5b83\u4eec\u5728\u5e38\u89c1\u5de5\u4f5c\u8d1f\u8f7d\u4e0a\u7684\u5bf9\u6bd4\uff1a<\/p>\n<div fullwidth=\"\" 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\">\n<p>\u5de5\u4f5c\u8d1f\u8f7d<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>PyTorch 2.x\uff08torch.compile\uff09<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>TensorFlow 2.x\uff08XLA\uff09<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u5173\u952e\u4fe1\u606f<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>ResNet-50\uff08A100\uff0cFP16\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7ea6 1,050 img\/s<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7ea6 980 img\/s<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u4f7f\u7528 compile \u65f6\uff0cPyTorch \u7565\u5feb<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>BERT-Large \u5fae\u8c03\uff08A100\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7ea6 145 samples\/s<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7ea6 140 samples\/s<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6027\u80fd\u51e0\u4e4e\u76f8\u540c<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>GPT-2 \u8bad\u7ec3\uff08H100\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u539f\u578b\u5f00\u53d1\u66f4\u5feb<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5927\u89c4\u6a21\u8bad\u7ec3\u66f4\u5feb<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6548\u679c\u53d6\u51b3\u4e8e\u4f18\u5316\u6295\u5165<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Stable Diffusion\uff08RTX 4090\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7ea6 4.2 it\/s<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7ea6 3.8 it\/s<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>PyTorch \u62e5\u6709\u66f4\u6210\u719f\u7684\u793e\u533a\u7b97\u5b50<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\uff08256 \u5757 GPU\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u8868\u73b0\u63a5\u8fd1<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5728 XLA \u52a0\u6301\u4e0b\u7565\u5360\u4f18\u52bf<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>TensorFlow \u7684\u56fe\u4f18\u5316\u5728\u8d85\u5927\u89c4\u6a21\u4e2d\u66f4\u6709\u4f18\u52bf<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u5728\u5927\u8bed\u8a00\u6a21\u578b\u5f00\u53d1\u9886\u57df\uff0cPyTorch \u5df2\u5360\u636e\u4e3b\u5bfc\u5730\u4f4d\uff0c\u5176\u5206\u5e03\u5f0f\u8bad\u7ec3\u5de5\u5177\uff08\u5982 FSDP \u4e0e DeepSpeed \u96c6\u6210\uff09\u8ba9\u5b83\u6210\u4e3a\u65b0 LLM \u9879\u76ee\u7684\u9996\u9009\u3002TensorFlow \u5219\u5728\u6df7\u5408\u7cbe\u5ea6\u914d\u7f6e\u4e0a\u66f4\u4e3a\u7b80\u5355\uff0c\u53ea\u9700\u4e00\u884c\u4ee3\u7801\u5373\u53ef\u5f00\u542f\uff1bPyTorch \u867d\u7136\u9700\u8981\u591a\u5199\u51e0\u884c\uff0c\u4f46\u63a7\u5236\u7c92\u5ea6\u66f4\u7ec6\u3002<\/p>\n<p>\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u662f\u83b7\u5f97\u663e\u8457\u52a0\u901f\u7684\u5173\u952e\u624b\u6bb5\u3002\u81ea\u52a8\u6df7\u5408\u7cbe\u5ea6\uff08AMP\uff09\u4f1a\u5728\u5408\u9002\u4f4d\u7f6e\u4f7f\u7528 FP16\uff0c\u5e76\u5229\u7528 Tensor Core \u5e26\u6765\u6210\u500d\u6027\u80fd\u63d0\u5347\uff1a<\/p>\n<ul>\n<li>\n<p>\u542f\u7528 AMP \u540e\uff0c\u901a\u5e38\u53ef\u4ee5\u83b7\u5f97 2\u20134.5 \u500d\u7684\u52a0\u901f<\/p>\n<\/li>\n<li>\n<p>\u786e\u4fdd\u77e9\u9635\u7ef4\u5ea6\u4e3a 8 \u7684\u500d\u6570\uff0c\u4ee5\u83b7\u5f97\u66f4\u597d\u7684 FP16 \u52a0\u901f\u6548\u679c<\/p>\n<\/li>\n<li>\n<p>\u4f7f\u7528\u68af\u5ea6\u7d2f\u79ef\u6765\u5b9e\u73b0\u66f4\u5927\u7684\u6709\u6548 batch size<\/p>\n<\/li>\n<li>\n<p>\u4f7f\u7528 PyTorch Profiler \u6216 Nsight Systems \u627e\u51fa\u6027\u80fd\u74f6\u9888<\/p>\n<\/li>\n<li>\n<p>\u5c06 AMP \u4e0e\u68af\u5ea6\u68c0\u67e5\u70b9\u7ed3\u5408\u4f7f\u7528\uff0c\u53ef\u8fdb\u4e00\u6b65\u964d\u4f4e\u5185\u5b58\u5360\u7528<\/p>\n<\/li>\n<\/ul>\n<p>\u5408\u7406\u5e94\u7528\u8fd9\u4e9b\u6280\u672f\uff0c\u53ef\u4ee5\u5728\u8282\u7701\u6700\u9ad8\u7ea6 50% \u663e\u5b58\u7684\u540c\u65f6\uff0c\u5c06\u8bad\u7ec3\u901f\u5ea6\u518d\u63d0\u5347 30\u2013100%\u3002<\/p>\n<h3>\u5b9e\u73b0\u5206\u5e03\u5f0f\u8bad\u7ec3\u4e0e\u7ba1\u7406\u6563\u70ed\u9650\u5236<\/h3>\n<p>\u5355\u5361\u8bad\u7ec3\u603b\u4f1a\u9047\u5230\u5929\u82b1\u677f\uff0c\u800c\u5206\u5e03\u5f0f\u8bad\u7ec3\u8ba9\u4f60\u6709\u673a\u4f1a\u8fdb\u4e00\u6b65\u7a81\u7834\u3002DistributedDataParallel\uff08DDP\uff09\u5728\u6269\u5c55 GPU \u6570\u91cf\u65f6\u53ef\u5b9e\u73b0\u8fd1\u4f3c\u7ebf\u6027\u7684\u52a0\u901f\u3002\u6bcf\u5757 GPU \u90fd\u4fdd\u5b58\u4e00\u4efd\u6a21\u578b\u526f\u672c\u5e76\u5904\u7406\u81ea\u5df1\u7684\u6570\u636e\u6279\u6b21\uff0c\u68af\u5ea6\u901a\u8fc7\u57fa\u4e8e NCCL \u7684 All-Reduce \u901a\u4fe1\u8fdb\u884c\u805a\u5408\u3002<\/p>\n<p>\u5728\u4e0d\u6539\u53d8 batch size \u7684\u524d\u63d0\u4e0b\uff0c\u4f7f\u7528\u4e24\u53f0\u8282\u70b9\u3001\u516b\u5f20 GPU \u7684 DDP \u8bad\u7ec3\uff0c\u76f8\u6bd4\u5355\u5361\u8bad\u7ec3\u53ef\u4ee5\u83b7\u5f97\u5927\u7ea6 13 \u500d\u7684\u52a0\u901f\u3002<\/p>\n<p>\u5f53\u6a21\u578b\u4f53\u79ef\u8d85\u8fc7\u5355\u5361\u663e\u5b58\u65f6\uff0c\u4f60\u5c31\u9700\u8981\u66f4\u9ad8\u7ea7\u7684\u7b56\u7565\u3002ZeRO \u4f1a\u5c06\u4f18\u5316\u5668\u72b6\u6001\u3001\u68af\u5ea6\u548c\u53c2\u6570\u5207\u5206\u5e76\u5206\u5e03\u5230\u591a\u5757 GPU \u4e0a\uff1b\u6d41\u6c34\u7ebf\u5e76\u884c\u5219\u901a\u8fc7\u5c06 batch \u5207\u5206\u6210\u591a\u4e2a\u5fae\u6279\u6b21\u6765\u5b9e\u73b0\u6d41\u6c34\u7ebf\u64cd\u4f5c\uff1b\u5f20\u91cf\u5e76\u884c\u5219\u5c06\u5927\u89c4\u6a21\u77e9\u9635\u8fd0\u7b97\u62c6\u5206\u5230\u591a\u5757 GPU \u4e0a\uff1b\u6df7\u5408\u5e76\u884c\u5219\u7efc\u5408\u5229\u7528\u4e0a\u8ff0\u65b9\u6cd5\u6765\u652f\u6491\u767e\u4ebf\u3001\u5343\u4ebf\u53c2\u6570\u7ea7\u6a21\u578b\u3002<\/p>\n<p>\u6563\u70ed\u7ba1\u7406\u51b3\u5b9a\u4e86\u7cfb\u7edf\u80fd\u5426\u6301\u7eed\u7ef4\u6301\u5cf0\u503c\u6027\u80fd\u3002\u4f20\u7edf\u98ce\u51b7\u5728\u957f\u65f6\u95f4 AI \u8bad\u7ec3\u8d1f\u8f7d\u4e0b\u5f80\u5f80\u529b\u4e0d\u4ece\u5fc3\uff0c\u800c\u6c34\u51b7\u5219\u53ef\u4ee5\u6709\u6548\u5e94\u5bf9\u9ad8\u70ed\u8bbe\u8ba1\u529f\u8017\uff0c\u907f\u514d\u56e0\u6e29\u5ea6\u8fc7\u9ad8\u800c\u89e6\u53d1\u964d\u9891\u3002\u5bf9\u4e8e\u6301\u7eed\u8fd0\u884c\u7684\u5927\u578b\u8bad\u7ec3\u4efb\u52a1\u800c\u8a00\uff0c\u6027\u80fd\u6ce2\u52a8\u4f1a\u76f4\u63a5\u5f71\u54cd\u7ed3\u679c\u7684\u53ef\u9760\u6027\u3002\u50cf 8\u00d7H100 \u8fd9\u6837\u7684\u9ad8\u5bc6\u5ea6\u591a GPU \u914d\u7f6e\uff0c\u66f4\u9700\u8981\u5747\u8861\u3001\u7a33\u5b9a\u7684\u6563\u70ed\u65b9\u6848\u3002\u6c34\u51b7\u53ef\u4ee5\u4e3a\u6bcf\u5f20 GPU \u63d0\u4f9b\u66f4\u4e00\u81f4\u7684\u6e29\u5ea6\u8868\u73b0\u3002\u5b9a\u671f\u66f4\u65b0\u9a71\u52a8\u3001\u4fdd\u8bc1\u6563\u70ed\u6761\u4ef6\u3001\u5408\u7406\u89c4\u5212\u8bad\u7ec3\u4efb\u52a1\u8c03\u5ea6\uff0c\u90fd\u662f\u4fdd\u6301\u7cfb\u7edf\u957f\u671f\u7a33\u5b9a\u9ad8\u6548\u8fd0\u884c\u7684\u5173\u952e\u3002<\/p>\n<h2>\u6210\u672c\u4e0e\u90e8\u7f72\uff1a\u5728\u7f8e\u56fd\u9009\u62e9\u4e91\u7aef\u6216\u672c\u5730\u65b9\u6848<\/h2>\n<p>\u90e8\u7f72\u65b9\u5f0f\u4f1a\u91cd\u5851\u4f60\u7684\u6574\u4f53\u9884\u7b97\u548c\u8fd0\u7ef4\u7b56\u7565\u3002\u4e91\u670d\u52a1\u5c06\u652f\u51fa\u8f6c\u4e3a\u8fd0\u8425\u6210\u672c\uff08Opex\uff09\uff0c\u672c\u5730\u96c6\u7fa4\u5219\u9700\u8981\u5927\u91cf\u524d\u671f\u8d44\u672c\u6295\u5165\uff08Capex\uff09\u3002\u5408\u9002\u7684\u65b9\u6848\u53d6\u51b3\u4e8e\u4f60\u7684\u5de5\u4f5c\u8d1f\u8f7d\u6a21\u5f0f\u3001\u6a21\u578b\u89c4\u6a21\u4ee5\u53ca\u589e\u957f\u9884\u671f\uff0c\u5e76\u4e0d\u5b58\u5728\u5bf9\u6240\u6709\u7ec4\u7ec7\u90fd\u9002\u7528\u7684\u7edf\u4e00\u7b54\u6848\u3002<\/p>\n<h3>\u4e91\u7aef GPU \u5b9e\u4f8b\u4e0e\u672c\u5730\u96c6\u7fa4\u5bf9\u6bd4<\/h3>\n<p>\u6210\u672c\u56de\u672c\u5468\u671f\u6b63\u5728\u8fc5\u901f\u7f29\u77ed\u3002\u5bf9\u6301\u7eed\u63a8\u7406\u7c7b\u8d1f\u8f7d\u800c\u8a00\uff0c\u4e0e\u8d85\u5927\u89c4\u6a21\u4e91\u5382\u5546\u76f8\u6bd4\uff0c\u672c\u5730\u81ea\u5efa\u65b9\u6848\u7684\u6210\u672c\u6301\u5e73\u65f6\u95f4\u5df2\u7f29\u77ed\u81f3 6 \u4e2a\u6708\u5de6\u53f3\uff0c\u800c\u6b64\u524d\u4e00\u4ee3\u901a\u5e38\u9700\u8981 12\u201318 \u4e2a\u6708\u3002\u8fd9\u79cd\u53d8\u5316\u4f1a\u76f4\u63a5\u5f71\u54cd\u4f60\u7684\u89c4\u5212\u5468\u671f\uff1a\u77ed\u671f\u9879\u76ee\u66f4\u504f\u5411\u4e91\u7aef\u90e8\u7f72\uff0c\u800c\u957f\u671f\u7a33\u5b9a\u8d1f\u8f7d\u5219\u66f4\u6709\u7406\u7531\u8003\u8651\u672c\u5730\u96c6\u7fa4\u3002<\/p>\n<p>\u884c\u4e1a\u8861\u91cf\u6210\u529f\u7684\u6807\u51c6\u4e5f\u53d1\u751f\u4e86\u53d8\u5316\u3002\u5173\u952e\u6307\u6807\u5df2\u4ece\u5355\u7eaf\u7684 FLOPS \u6f14\u53d8\u4e3a\u201c\u5355\u4f4d\u6210\u672c\u4e0b\u7684 tokens \u6bcf\u79d2\u201d\u3002\u4f60\u5fc5\u987b\u5bf9\u6bd4\u5728\u672c\u5730\u96c6\u7fa4\u4e0a\u751f\u6210\u4e00\u767e\u4e07\u4e2a token \u7684\u644a\u9500\u6210\u672c\uff0c\u4e0e\u4e91\u7aef API \u96f6\u552e\u4ef7\u683c\u4e4b\u95f4\u7684\u5dee\u5f02\uff0c\u8fd9\u4f1a\u8feb\u4f7f\u4f60\u4ece\u201c\u6548\u7387\u201d\u800c\u975e\u201c\u6781\u9650\u6027\u80fd\u201d\u7684\u89d2\u5ea6\u6765\u8bc4\u4f30\u65b9\u6848\u4f18\u52a3\u3002<\/p>\n<p>\u6269\u5c55\u6027\u548c\u5ef6\u8fdf\u4e5f\u5b58\u5728\u53d6\u820d\u3002\u4e91\u7aef\u5b9e\u4f8b\u5177\u5907\u5f39\u6027\u6269\u5c55\u4e0e\u81ea\u52a8\u4f38\u7f29\u80fd\u529b\uff0c\u53ef\u4ee5\u6839\u636e\u5b9e\u65f6\u9700\u6c42\u5feb\u901f\u8c03\u8282\u8d44\u6e90\uff0c\u4f46\u914d\u989d\u9650\u5236\u4e0e\u533a\u57df\u8d44\u6e90\u7d27\u5f20\u53ef\u80fd\u6210\u4e3a\u9690\u5f62\u969c\u788d\uff0c\u4e5f\u5bb9\u6613\u51fa\u73b0\u610f\u6599\u4e4b\u5916\u7684\u8d39\u7528\u3002\u672c\u5730\u96c6\u7fa4\u5219\u9700\u8981\u5728\u524d\u671f\u5b8c\u6210\u5468\u5bc6\u89c4\u5212\u548c\u786c\u4ef6\u91c7\u8d2d\uff0c\u6269\u5bb9\u5468\u671f\u66f4\u957f\uff0c\u6295\u5165\u4e5f\u66f4\u9ad8\u3002<\/p>\n<p>\u5ef6\u8fdf\u65b9\u9762\uff0c\u672c\u5730\u90e8\u7f72\u901a\u5e38\u5360\u4f18\u3002\u670d\u52a1\u5668\u4e0e\u6570\u636e\u6e90\u7684\u7269\u7406\u8ddd\u79bb\u66f4\u8fd1\uff0c\u53ef\u6700\u5927\u7a0b\u5ea6\u964d\u4f4e\u7f51\u7edc\u5ef6\u8fdf\uff1b\u5b9a\u5236\u5316\u7f51\u7edc\u67b6\u6784\u8fd8\u80fd\u5728\u4fdd\u8bc1\u9ad8\u541e\u5410\u7684\u540c\u65f6\u7ef4\u6301\u6781\u4f4e\u65f6\u5ef6\u3002\u4e91\u7aef\u6027\u80fd\u5219\u53d6\u51b3\u4e8e\u7f51\u7edc\u5e26\u5bbd\u4e0e\u6570\u636e\u4e2d\u5fc3\u8d1f\u8f7d\uff0c\u5927\u591a\u6570\u4e91\u5382\u5546\u53ef\u4ee5\u63d0\u4f9b\u63a5\u8fd1\u672c\u5730\u7684\u6027\u80fd\uff0c\u4f46\u5177\u4f53\u4f53\u9a8c\u4ecd\u4f1a\u53d7\u5230\u533a\u57df\u673a\u623f\u4f4d\u7f6e\u5f71\u54cd\u3002<\/p>\n<div fullwidth=\"\" 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\">\n<p>\u8003\u91cf\u7ef4\u5ea6<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u4e91\u7aef GPU \u5b9e\u4f8b<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u672c\u5730\u96c6\u7fa4<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u53ef\u6269\u5c55\u6027<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u501f\u52a9\u81ea\u52a8\u4f38\u7f29\u8f7b\u677e\u6269\u5c55\uff1b\u4f46\u53ef\u80fd\u53d7\u5230\u914d\u989d\u9650\u5236<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u9700\u8981\u89c4\u5212\u3001\u91c7\u8d2d\u4e0e\u5b89\u88c5\uff1b\u53d7\u9650\u4e8e\u73b0\u6709 GPU \u6570\u91cf<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5ef6\u8fdf<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u63a5\u8fd1\u672c\u5730\u901f\u5ea6\uff0c\u4f46\u4f1a\u53d7\u6570\u636e\u4e2d\u5fc3\u4f4d\u7f6e\u5f71\u54cd<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u53ef\u901a\u8fc7\u5b9a\u5236\u7f51\u7edc\u914d\u7f6e\u5b9e\u73b0\u6781\u4f4e\u5ef6\u8fdf<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h3>\u9009\u62e9\u7f8e\u56fd\u672c\u5730\u670d\u52a1\u5546\u4e0e\u5408\u89c4\u8003\u91cf<\/h3>\n<p>\u57fa\u4e8e\u7f8e\u56fd\u7684\u6570\u636e\u4e2d\u5fc3\u5728 AI \u5de5\u4f5c\u8d1f\u8f7d\u65b9\u9762\u6709\u5176\u72ec\u7279\u4f18\u52bf\uff1a\u5bf9\u672c\u571f\u4e1a\u52a1\u800c\u8a00\uff0c\u4f4e\u5ef6\u8fdf\u8bbf\u95ee\u4f53\u9a8c\u66f4\u597d\uff1b\u5b8c\u5584\u7684\u57fa\u7840\u8bbe\u65bd\u53ef\u4ee5\u4fdd\u969c\u9ad8\u53ef\u7528\u6027\uff1b\u9075\u5faa\u672c\u5730\u6570\u636e\u6cd5\u89c4\u4e5f\u80fd\u7b80\u5316\u4f60\u7684\u5408\u89c4\u538b\u529b\u3002AWS\u3001GCP \u548c Azure \u5728\u7f8e\u56fd\u90fd\u90e8\u7f72\u4e86\u5927\u91cf\u533a\u57df\uff0c\u6bcf\u5bb6\u5382\u5546\u63d0\u4f9b\u7684 GPU \u5b9e\u4f8b\u7c7b\u578b\u4e0e\u5b9a\u4ef7\u7b56\u7565\u4e5f\u5404\u4e0d\u76f8\u540c\uff0c\u4f60\u5fc5\u987b\u8fdb\u884c\u7ec6\u81f4\u6bd4\u8f83\u3002<\/p>\n<p>\u5728\u654f\u611f\u884c\u4e1a\u4e2d\uff0c\u5408\u89c4\u6027\u5c24\u4e3a\u91cd\u8981\u3002\u533b\u7597\u6570\u636e\u8981\u9075\u5b88 HIPAA\uff0c\u91d1\u878d\u6570\u636e\u9700\u8981\u7b26\u5408 FINRA \u7b49\u76d1\u7ba1\u8981\u6c42\u3002\u7f8e\u56fd\u6570\u636e\u4e2d\u5fc3\u5bf9\u8fd9\u4e9b\u89c4\u8303\u66f4\u4e3a\u719f\u6089\uff0c\u5e76\u5728\u57fa\u7840\u8bbe\u65bd\u8bbe\u8ba1\u4e2d\u63d0\u524d\u52a0\u4ee5\u8003\u8651\u3002\u4f60\u7684 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848\u5fc5\u987b\u4ece\u4e00\u5f00\u59cb\u5c31\u5c06\u8fd9\u4e9b\u7ea6\u675f\u7eb3\u5165\u8bbe\u8ba1\u3002<\/p>\n<p>\u6570\u636e\u672c\u5730\u5316\u8981\u6c42\u4e5f\u53ef\u80fd\u5f71\u54cd\u4f60\u7684\u9009\u62e9\u3002\u4e00\u4e9b\u673a\u6784\u5fc5\u987b\u5c06\u6570\u636e\u4e25\u683c\u63a7\u5236\u5728\u7f8e\u56fd\u5883\u5185\uff0c\u4e91\u5382\u5546\u901a\u5e38\u63d0\u4f9b\u533a\u57df\u9650\u5b9a\u7684\u5b58\u50a8\u4e0e\u8ba1\u7b97\u670d\u52a1\uff0c\u800c\u672c\u5730\u96c6\u7fa4\u5219\u5929\u7136\u6ee1\u8db3\u8fd9\u4e00\u8981\u6c42\u3002\u4f60\u7684\u5408\u89c4\u56e2\u961f\u5e94\u5bf9\u4e24\u79cd\u65b9\u6848\u8fdb\u884c\u8be6\u7ec6\u8bc4\u4f30\u3002<\/p>\n<p>\u6700\u7ec8\uff0c\u4f60\u9700\u8981\u5728\u6210\u672c\u3001\u63a7\u5236\u529b\u4e0e\u5408\u89c4\u6027\u4e4b\u95f4\u505a\u51fa\u5e73\u8861\uff1a\u4e91\u7aef\u5177\u6709\u5f39\u6027\u9ad8\u3001\u524d\u671f\u6210\u672c\u4f4e\u7684\u4f18\u52bf\uff0c\u800c\u672c\u5730\u96c6\u7fa4\u5219\u63d0\u4f9b\u66f4\u7a33\u5b9a\u7684\u6027\u80fd\u4e0e\u6570\u636e\u4e3b\u6743\u3002\u6700\u9002\u5408\u7684\u65b9\u6848\uff0c\u53d6\u51b3\u4e8e\u4f60\u7684\u8d1f\u8f7d\u6a21\u5f0f\u548c\u76d1\u7ba1\u8981\u6c42\u3002<\/p>\n<div dividerstyle=\"solid\" size=\"large\" color=\"#D1D1D1\" class=\"qc-divider-wrapper\">\n<div class=\"qc-divider\" style=\"border-top-style: solid; width: 100%; border-top-color: rgb(209, 209, 209);\"><\/div>\n<\/div>\n<p>\u4f60\u7684 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848\uff0c\u662f\u5f3a\u5927\u7684 NVIDIA \u786c\u4ef6\u3001\u5747\u8861\u7684\u670d\u52a1\u5668\u67b6\u6784\u4ee5\u53ca\u9ad8\u5ea6\u4f18\u5316\u7684\u8f6f\u4ef6\u6808\u5171\u540c\u4f5c\u7528\u7684\u7ed3\u679c\u3002\u7406\u60f3\u7684 GPU \u9009\u62e9\u53d6\u51b3\u4e8e\u5177\u4f53\u5de5\u4f5c\u8d1f\u8f7d\u3002<\/p>\n<div fullwidth=\"\" 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\">\n<p>\u5de5\u4f5c\u8d1f\u8f7d\u7c7b\u578b<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u63a8\u8350 GPU<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>AI \u63a8\u7406\u3001\u89c6\u9891\u5904\u7406<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>NVIDIA L4\uff0824 GB\uff09<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5927\u578b AI \u6a21\u578b\u3001HPC<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>RTX Pro 6000 Blackwell\uff0896 GB\uff09<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u9009\u62e9\u4e91\u7aef\u8fd8\u662f\u672c\u5730\uff1f\u7b54\u6848\u53d6\u51b3\u4e8e\u9884\u7b97\u3001\u6a21\u578b\u89c4\u6a21\u4ee5\u53ca\u6269\u5c55\u9700\u6c42\u3002\u4e24\u79cd\u65b9\u6848\u5404\u6709\u4f18\u52bf\uff0c\u4f60\u9700\u8981\u7ed3\u5408\u81ea\u8eab\u60c5\u51b5\u8fdb\u884c\u8bc4\u4f30\u3002\u4f60\u53ef\u4ee5\u54a8\u8be2\u4e13\u4e1a\u56e2\u961f\u6765\u8bbe\u8ba1\u5b9a\u5236\u5316\u89e3\u51b3\u65b9\u6848\uff0c\u4ed6\u4eec\u4f1a\u4e3a\u4f60\u63a8\u8350\u5408\u9002\u7684 GPU\u3001CPU\u3001\u5185\u5b58\u548c\u5b58\u50a8\u914d\u7f6e\u3002\u50cf ServerMania 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\u5c0f\u65f6\u8fde\u7eed\u8fd0\u884c\u5927\u578b\u4efb\u52a1\uff0c\u8d2d\u4e70\u66f4\u5408\u9002\uff1b\u8d1f\u8f7d\u96f6\u6563\u3001\u9700\u6c42\u4e0d\u7a33\u5b9a\uff0c\u5219\u79df\u7528\u66f4\u6709\u4f18\u52bf\u3002<\/p>\n<h3>\u6211\u7684 AI \u9879\u76ee\u5e94\u8be5\u9009\u62e9\u54ea\u79cd\u8f6f\u4ef6\u6846\u67b6\uff1f<\/h3>\n<p>\u5bf9\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u5f00\u53d1\uff0cPyTorch \u901a\u5e38\u662f\u66f4\u4f18\u9009\u62e9\uff0c\u5b83\u62e5\u6709\u66f4\u5f3a\u5927\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u5de5\u5177\uff1bTensorFlow \u5219\u4ee5\u66f4\u7b80\u5355\u7684\u6df7\u5408\u7cbe\u5ea6\u914d\u7f6e\u89c1\u957f\u3002\u4e24\u8005\u5728 NVIDIA \u786c\u4ef6\u4e0a\u7684\u6027\u80fd\u90fd\u76f8\u5f53\u51fa\u8272\u3002\u4e00\u822c\u5efa\u8bae\uff1a\u505a LLM \u9009 PyTorch\uff0c\u9700\u8981\u5feb\u901f\u4e0a\u624b\u3001\u914d\u7f6e\u7b80\u5355\u5219\u9009 TensorFlow\u3002\u6700\u7ec8\u9009\u62e9\u8fd8\u5e94\u8003\u8651\u56e2\u961f\u73b0\u6709\u7ecf\u9a8c\u3002<\/p>\n<h3>\u5728\u957f\u65f6\u95f4\u8bad\u7ec3\u4e2d\uff0c\u5982\u4f55\u9632\u6b62 GPU \u8fc7\u70ed\uff1f<\/h3>\n<p>\u6c34\u51b7\u65b9\u6848\u53ef\u4ee5\u66f4\u597d\u5730\u5e94\u5bf9\u6301\u7eed\u9ad8\u8d1f\u8f7d\uff0c\u5e76\u6709\u6548\u907f\u514d\u56e0\u6e29\u5ea6\u8fc7\u9ad8\u5f15\u53d1\u7684\u964d\u9891\uff1b\u4f20\u7edf\u98ce\u51b7\u5728\u957f\u65f6\u95f4 AI 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\u8bad\u7ec3\u81f3\u5173\u91cd\u8981\uff0c\u76f8\u8f83 CPU \u53ef\u5b9e\u73b0 50\u2013100 \u500d\u52a0\u901f\u3002 \u6839\u636e\u6a21\u578b\u89c4\u6a21\u548c\u5de5\u4f5c\u8d1f\u8f7d\u9009\u62e9 GPU\uff1bA100 \u548c H100 \u662f\u5927\u578b\u6a21\u578b\u7684\u9996\u9009\u3002 \u901a\u8fc7\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u548c PyTorch \u7b49\u5206\u5e03\u5f0f\u6846\u67b6\u4f18\u5316\u6027\u80fd\u3002 \u4e91\u7aef GPU \u5b9e\u4f8b\u5177\u5907\u66f4\u4f4e\u524d\u671f\u6210\u672c\u548c\u9ad8\u6269\u5c55\u6027\uff0c\u800c\u672c\u5730\u90e8\u7f72\u5219\u63d0\u4f9b\u66f4\u9ad8\u63a7\u5236\u529b\u548c\u66f4\u4f4e\u5ef6\u8fdf\u3002 \u5728\u6027\u80fd\u3001\u9884\u7b97\u548c\u53ef\u6269\u5c55\u6027\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861\uff0c\u624d\u80fd\u8ba9\u4f60\u7684 AI \u57fa\u7840\u8bbe\u65bd\u5177\u5907\u524d\u77bb\u6027\u3002 \u4e3a\u4ec0\u4e48\u9700\u8981 GPU \u52a0\u901f\u89e3\u51b3\u65b9\u6848 \u73b0\u4ee3 AI \u7684\u8ba1\u7b97\u9700\u6c42 \u8bad\u7ec3\u4e00\u4e2a\u7c7b\u4f3c GPT-4 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