PCIe\uff08\u5916\u8bbe\u7ec4\u4ef6\u4e92\u8fde\u6807\u51c6\uff09\u662f\u5927\u591a\u6570\u8ba1\u7b97\u7cfb\u7edf\u4e2d\u7684\u6807\u51c6GPU\u63a5\u53e3\u3002\u8ba9\u6211\u4eec\u6df1\u5165\u4e86\u89e3\u5176\u67b6\u6784\uff1a<\/p>\n

PCIe\u901a\u9053\u914d\u7f6e\uff1a<\/p>\n

– x1\uff1a\u5355\u901a\u9053\u914d\u7f6e<\/p>\n

– x4\uff1a\u56db\u901a\u9053\u914d\u7f6e<\/p>\n

– x8\uff1a\u516b\u901a\u9053\u914d\u7f6e<\/p>\n

– x16\uff1a\u5341\u516d\u901a\u9053\u914d\u7f6e\uff08GPU\u6700\u5e38\u7528\uff09<\/p>\n

\r\n\/\/ PCIe\u5e26\u5bbd\u8ba1\u7b97\u793a\u4f8b\r\nfunction calculatePCIeBandwidth(generation, lanes) {\r\n    const ratePerLane = {\r\n        3: 8,    \/\/ PCIe 3.0: 8 GT\/s\r\n        4: 16,   \/\/ PCIe 4.0: 16 GT\/s\r\n        5: 32    \/\/ PCIe 5.0: 32 GT\/s\r\n    };\r\n    return (ratePerLane[generation] * lanes * 0.8) \/ 8; \/\/ GB\/s\r\n}\r\n<\/code><\/pre>\n
SXM\u63a5\u53e3\u6df1\u5ea6\u89e3\u6790<\/strong><\/h2>\n
NVIDIA\u7684SXM\uff08\u670d\u52a1\u5668\u6269\u5c55\u6a21\u5757\uff09\u63a5\u53e3\u5f7b\u5e95\u9769\u65b0\u4e86\u6570\u636e\u4e2d\u5fc3\u7684GPU\u8fde\u63a5\u65b9\u5f0f\u3002\u4e3b\u8981\u521b\u65b0\u5305\u62ec\uff1a<\/p>\n\n\n\n\n\n\n
\u7279\u6027<\/th>\n
SXM4<\/th>\n
SXM3<\/th>\n
SXM2<\/th>\n<\/tr>\n
\u6700\u5927\u529f\u7387<\/td>\n
500W<\/td>\n
400W<\/td>\n
300W<\/td>\n<\/tr>\n
NVLink\u5e26\u5bbd<\/td>\n
900 GB\/s<\/td>\n
600 GB\/s<\/td>\n
300 GB\/s<\/td>\n<\/tr>\n
\u5185\u5b58\u5e26\u5bbd<\/td>\n
3 TB\/s<\/td>\n
2 TB\/s<\/td>\n
900 GB\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\u9ad8\u7ea7\u6280\u672f\u8003\u91cf<\/strong><\/h2>\n
\u7535\u6e90\u5206\u914d\u7f51\u7edc(PDN)\uff1a<\/p>\n
\r\n\/\/ \u4f9b\u7535\u7cfb\u7edf\u5bf9\u6bd4\r\nconst powerDeliverySpecs = {\r\n    PCIe: {\r\n        mainPower: 75,    \/\/ \u63d2\u69fd\u4f9b\u7535\uff08\u74e6\u7279\uff09\r\n        auxiliary: 275,   \/\/ 8\u9488\u63a5\u53e3\u4f9b\u7535\uff08\u74e6\u7279\uff09\r\n        totalMax: 350     \/\/ \u6700\u5927\u603b\u529f\u7387\uff08\u74e6\u7279\uff09\r\n    },\r\n    SXM4: {\r\n        direct: 500,      \/\/ \u76f4\u63a5\u677f\u8f7d\u4f9b\u7535\r\n        cooling: '\u6db2\u51b7\u6216\u98ce\u51b7',\r\n        efficiency: 0.92  \/\/ \u4f9b\u7535\u8f6c\u6362\u6548\u7387\r\n    }\r\n};\r\n<\/code><\/pre>\n
\u6563\u70ed\u7ba1\u7406\u89e3\u51b3\u65b9\u6848<\/strong><\/h2>\n
\u5148\u8fdb\u6563\u70ed\u89e3\u51b3\u65b9\u6848\u5bf9\u6bd4\uff1a<\/p>\n
SXM\u6563\u70ed\u8981\u6c42\uff1a<\/p>\n
1. \u57fa\u677f\u6e29\u5ea6\uff1a\u7ef4\u6301\u572875\u00b0C\u4ee5\u4e0b<\/p>\n
2. \u73af\u5883\u6e29\u5ea6\uff1a\u5efa\u8bae\u6700\u9ad835\u00b0C<\/p>\n
3. \u6c14\u6d41\u8981\u6c42\uff1a\u6bcfGPU 200-300 CFM<\/p>\n
\u6027\u80fd\u6307\u6807\u548c\u57fa\u51c6\u6d4b\u8bd5<\/strong><\/h2>\n
\u5404\u79cd\u573a\u666f\u4e0b\u7684\u5b9e\u9645\u6027\u80fd\u5206\u6790\uff1a<\/p>\n
\r\n\/\/ \u6027\u80fd\u5bf9\u6bd4\u77e9\u9635\r\nconst workloadPerformance = {\r\n    AITraining: {\r\n        SXM4: 100,        \/\/ \u57fa\u51c6\u503c\r\n        PCIe4: 70,        \/\/ \u616230%\r\n        notes: \"\u57fa\u4e8eResNet-50\u8bad\u7ec3\"\r\n    },\r\n    InferenceLatency: {\r\n        SXM4: 2.5,        \/\/ \u6beb\u79d2\r\n        PCIe4: 3.1,       \/\/ \u6beb\u79d2\r\n        improvement: \"19.4%\"\r\n    }\r\n};\r\n<\/code><\/pre>\n
\u5b9e\u65bd\u6700\u4f73\u5b9e\u8df5<\/strong><\/h2>\n
\u9999\u6e2f\u6570\u636e\u4e2d\u5fc3\u7684\u5173\u952e\u5b9e\u65bd\u8003\u8651\u56e0\u7d20\uff1a<\/p>\n
\u90e8\u7f72\u6e05\u5355\uff1a<\/p>\n
1. \u7535\u529b\u57fa\u7840\u8bbe\u65bd\u8bc4\u4f30<\/p>\n
2. \u6563\u70ed\u7cfb\u7edf\u8bc4\u4f30<\/p>\n
3. \u7f51\u7edc\u67b6\u6784\u8981\u6c42<\/p>\n
4. \u7269\u7406\u7a7a\u95f4\u89c4\u5212<\/p>\n
5. \u7ef4\u62a4\u901a\u9053\u8981\u6c42<\/p>\n
\u6210\u672c\u5206\u6790\u6846\u67b6<\/strong><\/h2>\n
\u8be6\u7ec6\u7684\u603b\u62e5\u6709\u6210\u672c(TCO)\u8ba1\u7b97\u7ec4\u4ef6\uff1a<\/p>\n
\r\n\/\/ TCO\u8ba1\u7b97\u5668\u7ed3\u6784\r\nfunction calculateTCO(config, years) {\r\n    return {\r\n        initialCosts: {\r\n            hardware: config.gpuCost,\r\n            infrastructure: config.infraCost,\r\n            installation: config.installCost\r\n        },\r\n        operationalCosts: {\r\n            power: config.powerCost * years,\r\n            cooling: config.coolingCost * years,\r\n            maintenance: config.maintCost * years\r\n        }\r\n    };\r\n}\r\n<\/code><\/pre>\n
\u672a\u6765\u6280\u672f\u8def\u7ebf\u56fe<\/strong><\/h2>\n
\u65b0\u5174\u6280\u672f\u548c\u9884\u671f\u53d1\u5c55\uff1a<\/p>\n
\n
PCIe 6.0\uff1a\u9884\u8ba1\u6bcf\u901a\u9053128 GT\/s<\/li>\n
SXM5\uff1a\u4f20\u95fb\u5c06\u8fbe\u52301.2 TB\/s NVLink\u5e26\u5bbd<\/li>\n
CXL\u96c6\u6210\u53ef\u80fd\u6027<\/li>\n<\/ul>\n
\u7ed3\u8bba<\/strong><\/h2>\n
\u5728\u9999\u6e2f\u670d\u52a1\u5668\u79df\u7528\u548cGPU\u670d\u52a1\u5668\u6258\u7ba1\u670d\u52a1\u4e2d\uff0c\u9009\u62e9SXM\u8fd8\u662fPCIe GPU\u63a5\u53e3\u4ee3\u8868\u7740\u5173\u952e\u7684\u51b3\u7b56\u70b9\u3002\u6bcf\u79cd\u63a5\u53e3\u90fd\u5177\u6709\u72ec\u7279\u4f18\u52bf\uff0cSXM\u5728\u6027\u80fd\u5173\u952e\u578b\u5e94\u7528\u4e2d\u5360\u636e\u9886\u5148\u5730\u4f4d\uff0c\u800cPCIe\u5219\u63d0\u4f9b\u66f4\u5927\u7684\u7075\u6d3b\u6027\u548c\u66f4\u5e7f\u6cdb\u7684\u517c\u5bb9\u6027\u3002\u5728\u505a\u51fa\u8fd9\u4e2a\u57fa\u7840\u8bbe\u65bd\u51b3\u7b56\u65f6\uff0c\u8bf7\u8003\u8651\u60a8\u7684\u5177\u4f53\u5de5\u4f5c\u8d1f\u8f7d\u8981\u6c42\u3001\u9884\u7b97\u9650\u5236\u548c\u6269\u5c55\u8ba1\u5212\u3002[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"
[vc_row][vc_column][vc_column_text css=””]\u5728\u5f53\u4eca\u9ad8\u6027\u80fd\u8ba1\u7b97\u9886\u57df\uff0c\u9009\u62e9SXM\u8fd8\u662fPCIe GPU\u63a5\u53e3\u5c06\u663e\u8457\u5f71\u54cd\u60a8\u7684\u6570\u636e\u4e2d\u5fc3\u6027\u80fd\u3002\u672c\u7efc\u5408\u6307\u5357\u63a2\u8ba8\u4e86\u8fd9\u4e9b\u63a5\u53e3\u7684\u6280\u672f\u5dee\u5f02\uff0c\u7279\u522b\u9002\u7528\u4e8e\u9999\u6e2f\u670d\u52a1\u5668\u79df\u7528\u548cGPU\u670d\u52a1\u5668\u6258\u7ba1\u670d\u52a1\u3002\u968f\u7740AI\u548c\u673a\u5668\u5b66\u4e60\u5de5\u4f5c\u8d1f\u8f7d\u6301\u7eed\u63a8\u52a8\u521b\u65b0\uff0c\u4e86\u89e3\u8fd9\u4e9b\u63a5\u53e3\u5bf9\u4e8e\u6700\u4f73\u57fa\u7840\u8bbe\u65bd\u89c4\u5212\u53d8\u5f97\u81f3\u5173\u91cd\u8981\u3002 \u6df1\u5165\u7406\u89e3PCIe\u63a5\u53e3\u67b6\u6784 PCIe\uff08\u5916\u8bbe\u7ec4\u4ef6\u4e92\u8fde\u6807\u51c6\uff09\u662f\u5927\u591a\u6570\u8ba1\u7b97\u7cfb\u7edf\u4e2d\u7684\u6807\u51c6GPU\u63a5\u53e3\u3002\u8ba9\u6211\u4eec\u6df1\u5165\u4e86\u89e3\u5176\u67b6\u6784\uff1a PCIe\u901a\u9053\u914d\u7f6e\uff1a – x1\uff1a\u5355\u901a\u9053\u914d\u7f6e – x4\uff1a\u56db\u901a\u9053\u914d\u7f6e – x8\uff1a\u516b\u901a\u9053\u914d\u7f6e – x16\uff1a\u5341\u516d\u901a\u9053\u914d\u7f6e\uff08GPU\u6700\u5e38\u7528\uff09 \/\/ PCIe\u5e26\u5bbd\u8ba1\u7b97\u793a\u4f8b function calculatePCIeBandwidth(generation, lanes) { const ratePerLane = { 3: 8, \/\/ PCIe 3.0: 8 GT\/s 4: 16, \/\/ PCIe 4.0: 16 GT\/s 5: 32 \/\/ PCIe 5.0: 32 GT\/s }; return (ratePerLane[generation] * lanes * 0.8) \/ 8; \/\/ […]<\/p>\n
Read More…<\/a><\/p>\n","protected":false},"author":2,"featured_media":18346,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[62],"tags":[4463,4464,4465,3438,770],"class_list":["post-18350","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hong-kong-dedicated-server-sc","tag-centos-http-server-sc","tag-apache-installation-sc","tag-web-server-setup-sc","tag-3438","tag-server-configuration-sc"],"acf":[],"yoast_head":"\n