{"id":4042,"date":"2024-06-04T14:14:44","date_gmt":"2024-06-04T06:14:44","guid":{"rendered":"https:\/\/www.aqwu.net\/wp\/?p=4042"},"modified":"2024-06-04T14:14:44","modified_gmt":"2024-06-04T06:14:44","slug":"nvidia-%e5%b1%95%e5%bc%80-gpu%e3%80%81%e4%ba%92%e8%bf%9e%e8%b7%af%e7%ba%bf%e5%9b%be%ef%bc%8c%e6%8e%a8%e5%87%ba-2027-%e5%b9%b4","status":"publish","type":"post","link":"https:\/\/www.aqwu.net\/wp\/?p=4042","title":{"rendered":"NVIDIA \u5c55\u5f00 GPU\u3001\u4e92\u8fde\u8def\u7ebf\u56fe\uff0c\u63a8\u51fa 2027 \u5e74"},"content":{"rendered":"\n

6\u6708 2\uff0c 2024<\/a> \u8482\u83ab\u897f\u00b7\u666e\u91cc\u514b\u7279\u00b7\u6469\u6839<\/a><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/a><\/a><\/a><\/p>\n\n\n\n

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\u4e39\u5c3c\u00b7\u5e0c\u5229\u65af\uff08Danny Hillis\uff09\u3001\u9a6c\u6587\u00b7\u660e\u514b\u897f\uff08Marvin Minksy\uff09\u548c\u8c22\u4e3d\u5c14\u00b7\u6c49\u5fb7\u52d2\uff08Sheryl Handler\uff09\u57281980\u5e74\u4ee3\u521b\u7acb\u4e86Thinking Machines\uff0c\u8bd5\u56fe\u6784\u5efa\u8fd9\u6837\u7684\u673a\u5668\uff0c\u4ee5\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\u5904\u7406\uff0c\u800c\u4e0d\u662f\u4f20\u7edf\u7684HPC\u6a21\u62df\u548c\u5efa\u6a21\u5e94\u7528\u7a0b\u5e8f\uff0c\u4ee5\u53caYann LeCun\uff0c\u4ed6\u5927\u7ea6\u5728\u540c\u4e00\u65f6\u95f4\u5728AT&T\u8d1d\u5c14\u5b9e\u9a8c\u5ba4\u521b\u5efa\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u3002\u4ed6\u4eec\u65e2\u6ca1\u6709\u6570\u636e\u4e5f\u6ca1\u6709\u8ba1\u7b97\u80fd\u529b\u6765\u5236\u9020\u6211\u4eec\u73b0\u5728\u6240\u77e5\u9053\u7684\u4eba\u5de5\u667a\u80fd\u3002\u5f53\u65f6\uff0c\u9ec4\u4ec1\u52cb\u662f\u5236\u9020\u5b58\u50a8\u82af\u7247\u7684LSI Logic\u7684\u8463\u4e8b\uff0c\u5e76\u6700\u7ec8\u6210\u4e3aAMD\u7684CPU\u8bbe\u8ba1\u5e08\u3002\u5c31\u5728 Thinking Machines \u5728 1990 \u5e74\u4ee3\u521d\u671f\u9047\u5230\u56f0\u96be\uff08\u5e76\u6700\u7ec8\u7834\u4ea7\uff09\u65f6\uff0c\u9ec4\u4ec1\u52cb\u5728\u5723\u4f55\u585e\u4e1c\u4fa7\u7684 Denny’s \u4e0e Chris Malachowsky \u548c Curtis Priem \u4f1a\u9762\uff0c\u4ed6\u4eec\u521b\u7acb\u4e86 Nvidia\u3002\u6b63\u662f\u82f1\u4f1f\u8fbe\u770b\u5230\u4e86\u6765\u81ea\u7814\u7a76\u548c\u8d85\u5927\u89c4\u6a21\u793e\u533a\u7684\u65b0\u5174\u4eba\u5de5\u667a\u80fd\u673a\u4f1a\uff0c\u5e76\u5f00\u59cb\u6784\u5efa\u7cfb\u7edf\u3001\u8f6f\u4ef6\u548c\u5e95\u5c42\u5927\u89c4\u6a21\u5e76\u884c\u786c\u4ef6\uff0c\u4ee5\u5b9e\u73b0\u4eba\u5de5\u667a\u80fd\u9769\u547d\u7684\u68a6\u60f3\uff0c\u800c\u8fd9\u4e9b\u68a6\u60f3\u4ece\u7b2c\u4e00\u5929\u8d77\u5c31\u4e00\u76f4\u662f\u8ba1\u7b97\u7684\u4e00\u90e8\u5206\u3002<\/p>\n\n\n\n

\u8fd9\u59cb\u7ec8<\/em>\u662f\u8ba1\u7b97\u7684\u6700\u7ec8\u72b6\u6001\uff0c\u8fd9\u59cb\u7ec8<\/em>\u662f\u6211\u4eec\u4e00\u76f4\u5728\u671d\u7740\u7684\u5947\u70b9\u2014\u2014\u6216\u8005\u8bf4\u662f\u4e24\u6781\u6027\u2014\u2014\u524d\u8fdb\u7684\u65b9\u5411\u3002\u5982\u679c\u5176\u4ed6\u661f\u7403\u4e0a\u6709\u751f\u547d\uff0c\u90a3\u4e48\u751f\u547d\u603b\u662f<\/em>\u4f1a\u8fdb\u5316\u5230\u4e00\u4e2a\u70b9\uff0c\u5373\u90a3\u4e2a\u4e16\u754c\u62e5\u6709\u5927\u89c4\u6a21\u6740\u4f24\u6027\u6b66\u5668\uff0c\u5e76\u4e14\u603b\u662f<\/em>\u521b\u9020\u4eba\u5de5\u667a\u80fd\u3002\u800c\u4e14\u53ef\u80fd\u4e5f\u5dee\u4e0d\u591a\u5728\u540c\u4e00\u65f6\u95f4\u3002\u5728\u90a3\u4e00\u523b\u4e4b\u540e\uff0c\u4e16\u754c\u5bf9\u4efb\u4f55\u4e00\u79cd\u6280\u672f\u6240\u505a\u7684\u4e8b\u60c5\u51b3\u5b9a\u4e86\u5b83\u662f\u5426\u80fd\u5728\u5927\u89c4\u6a21\u706d\u7edd\u4e8b\u4ef6\u4e2d\u5e78\u5b58\u4e0b\u6765\u3002<\/p>\n\n\n\n

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\u5728\u53f0\u6e7e\u53f0\u5317\u4e3e\u884c\u7684\u5e74\u5ea6 Computex \u8d38\u6613\u5c55\u4e0a\u53d1\u8868\u4e3b\u9898\u6f14\u8bb2\u65f6\uff0c\u82f1\u4f1f\u8fbe\u7684\u8054\u5408\u521b\u59cb\u4eba\u517c\u9996\u5e2d\u6267\u884c\u5b98\u518d\u6b21\u8bd5\u56fe\u5c06\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u9769\u547d\uff08\u4ed6\u79f0\u4e4b\u4e3a\u7b2c\u4e8c\u6b21\u5de5\u4e1a\u9769\u547d\uff09\u7f6e\u4e8e\u5176\u80cc\u666f\u4e0b\uff0c\u5e76\u4e00\u7aa5\u4eba\u5de5\u667a\u80fd\u7684\u672a\u6765\uff0c\u5c24\u5176\u662f\u82f1\u4f1f\u8fbe\u7684\u786c\u4ef6\u3002\u6211\u4eec\u5f97\u5230\u4e86 GPU \u548c\u4e92\u8fde\u8def\u7ebf\u56fe\u7684\u9884\u89c8\u2014\u2014\u636e\u6211\u4eec\u6240\u77e5\uff0c\u76f4\u5230\u6700\u540e\u4e00\u523b\uff0c\u8fd9\u624d\u6210\u4e3a\u8ba1\u5212\u7684\u4e00\u90e8\u5206\uff0c\u5c31\u50cf\u9ec4\u4ec1\u52cb\u548c\u4ed6\u7684\u4e3b\u9898\u6f14\u8bb2\u7ecf\u5e38\u51fa\u73b0\u7684\u60c5\u51b5\u4e00\u6837\u3002<\/p>\n\n\n\n

\u9769\u547d\u662f\u4e0d\u53ef\u907f\u514d\u7684<\/h3>\n\n\n\n

\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u662f\u5173\u4e8e\u89c4\u6a21\u7684\uff0c\u9ec4\u4ec1\u52cb\u63d0\u9192\u6211\u4eec\u8fd9\u4e00\u70b9\uff0c\u5e76\u6307\u51fa 2022 \u5e74\u5e95\u7684 ChatGPT \u65f6\u523b\u53ea\u6709\u5728\u51fa\u4e8e\u6280\u672f\u548c\u7ecf\u6d4e\u539f\u56e0\u7684\u60c5\u51b5\u4e0b\u624d\u4f1a\u53d1\u751f\u3002<\/p>\n\n\n\n

\u8981\u8fbe\u5230 ChatGPT \u7684\u7a81\u7834\u65f6\u523b\uff0c\u9700\u8981 GPU \u6027\u80fd\u7684\u5927\u91cf\u589e\u957f\uff0c\u7136\u540e\u8fd8\u9700\u8981\u5927\u91cf\u7684 GPU\u3002\u82f1\u4f1f\u8fbe\u786e\u5b9e\u63d0\u4f9b\u4e86\u6027\u80fd\uff0c\u8fd9\u5bf9\u4eba\u5de5\u667a\u80fd\u8bad\u7ec3\u548c\u63a8\u7406\u90fd\u5f88\u91cd\u8981\uff0c\u91cd\u8981\u7684\u662f\uff0c\u5b83\u4ece\u6839\u672c\u4e0a\u51cf\u5c11\u4e86\u751f\u6210\u4ee3\u5e01\u4f5c\u4e3a\u5927\u578b\u8bed\u8a00\u6a21\u578b\u54cd\u5e94\u7684\u4e00\u90e8\u5206\u6240\u9700\u7684\u80fd\u91cf\u3002\u770b\u4e00\u770b\uff1a<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

\u5728\u201cPascal\u201dP100 GPU \u4e00\u4ee3\u548c\u201cBlackwell\u201dB100 GPU \u4e00\u4ee3\u4e4b\u95f4\u7684\u516b\u5e74\u4e2d\uff0cGPU \u7684\u6027\u80fd\u63d0\u5347\u4e86 1,053 \u500d\uff0c\u540e\u8005\u5c06\u4e8e\u4eca\u5e74\u665a\u4e9b\u65f6\u5019\u5f00\u59cb\u53d1\u8d27\uff0c\u5e76\u6301\u7eed\u5230 2025 \u5e74\u3002\uff08\u6211\u4eec\u77e5\u9053\u56fe\u8868\u4e0a\u663e\u793a\u7684\u662f 1,000 \u500d\uff0c\u4f46\u8fd9\u5e76\u4e0d\u7cbe\u786e\u3002<\/p>\n\n\n\n

\u90e8\u5206\u6027\u80fd\u6765\u81ea\u6d6e\u70b9\u7cbe\u5ea6\u7684\u964d\u4f4e – \u4ece Pascal P100\u3001Volta V100 \u548c Ampere A100 GPU \u7684 FP16 \u683c\u5f0f\u8f6c\u53d8\u4e3a Blackwell B100 \u4e2d\u4f7f\u7528\u7684 FP4 \u683c\u5f0f\uff0c\u964d\u4f4e\u4e86 4 \u500d\u3002\u5982\u679c\u6ca1\u6709\u7cbe\u5ea6\u7684\u964d\u4f4e\uff0c\u8fd9\u53ef\u4ee5\u5728\u4e0d\u4e25\u91cd\u635f\u5bb3 LLM \u6027\u80fd\u7684\u60c5\u51b5\u4e0b\u5b8c\u6210\u2014\u2014\u8fd9\u8981\u5f52\u529f\u4e8e\u6570\u636e\u683c\u5f0f\u3001\u8f6f\u4ef6\u5904\u7406\u548c\u6267\u884c\u6b64\u64cd\u4f5c\u7684\u786c\u4ef6\u65b9\u9762\u7684\u5927\u91cf\u6570\u5b66\u9b54\u529b\u2014\u2014\u6027\u80fd\u63d0\u5347\u5c06\u53ea\u6709 263 \u500d\u3002\u8bf7\u6ce8\u610f\uff0c\u8fd9\u5728CPU\u5e02\u573a\u5df2\u7ecf\u6301\u7eed\u4e86\u516b\u5e74\uff0c\u6bcf\u4e2a\u65f6\u949f\u7684\u6838\u5fc3\u6027\u80fd\u589e\u52a010%\u523015%\uff0c\u6838\u5fc3\u6570\u91cf\u589e\u52a025%\u523030%\u662f\u6b63\u5e38\u7684\u3002\u5982\u679c\u5347\u7ea7\u5468\u671f\u4e3a\u4e24\u5e74\uff0c\u5219\u5728\u76f8\u540c\u7684\u516b\u5e74\u5185\uff0cCPU \u541e\u5410\u91cf\u5c06\u589e\u52a0 4 \u5230 5 \u500d\u3002<\/p>\n\n\n\n

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\u5728\u4ed6\u7684\u4e3b\u9898\u6f14\u8bb2\u4e2d\uff0c\u4e3a\u4e86\u7ed9\u4f60\u4e00\u4e9b\u66f4\u6df1\u5165\u7684\u80cc\u666f\uff0c\u5728Pascal P100 GPU\u4e0a\u751f\u6210\u4e00\u4e2a\u4ee4\u724c\u768417,000\u7126\u8033\u5927\u7ea6\u76f8\u5f53\u4e8e\u8fd0\u884c\u4e24\u4e2a\u706f\u6ce1\u4e24\u5929\uff0c\u5e73\u5747\u6bcf\u4e2a\u5b57\u9700\u8981\u5927\u7ea6\u4e09\u4e2a\u4ee4\u724c\u3002\u56e0\u6b64\uff0c\u5982\u679c\u60a8\u751f\u6210\u4e86\u5f88\u591a\u5355\u8bcd\uff0c\u90a3\u5c31\u662f\u5f88\u591a\u706f\u6ce1<\/u><\/em><\/strong>\uff01\u73b0\u5728\u4f60\u5f00\u59cb\u660e\u767d\u4e3a\u4ec0\u4e48\u516b\u5e74\u524d\u751a\u81f3\u4e0d\u53ef\u80fd\u4ee5\u4f7f\u5176\u5728\u4efb\u52a1\u4e0a\u8868\u73b0\u826f\u597d\u7684\u89c4\u6a21\u8fd0\u884cLLM\u3002\u770b\u770b\u5728 1.8 \u4e07\u4ebf\u4e2a\u53c2\u6570\u30018 \u4e07\u4ebf\u4e2a\u6570\u636e\u4ee3\u5e01\u4e0a\u8bad\u7ec3 GPT-4 Mixture of Experts LLM \u6240\u9700\u7684\u529f\u7387\uff0c\u8fd9\u4e9b\u53c2\u6570\u9a71\u52a8\u6a21\u578b\uff1a<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

\u5bf9\u4e8e P100 \u96c6\u7fa4\u6765\u8bf4\uff0c\u8d85\u8fc7 1,000 \u5409\u74e6\u65f6\u662f\u5f88\u591a\u679c\u6c41\u3002\u4ee4\u4eba\u53f9\u4e3a\u89c2\u6b62\uff0c\u771f\u7684\u3002<\/p>\n\n\n\n

\u9ec4\u4ec1\u52cb\u89e3\u91ca\u8bf4\uff0c\u501f\u52a9 Blackwell GPU\uff0c\u516c\u53f8\u5c06\u80fd\u591f\u5728\u5927\u7ea6 10,000 \u4e2a GPU \u4e0a\u5728\u5927\u7ea6 10,000 \u4e2a GPU \u4e0a\u8bad\u7ec3\u8fd9\u6b3e GPT-4 1.8T MoE \u6a21\u578b\u3002<\/p>\n\n\n\n

\u5982\u679c\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u4eba\u5458\u548c\u82f1\u4f1f\u8fbe\u6ca1\u6709\u964d\u4f4e\u7cbe\u5ea6\uff0c\u90a3\u4e48\u5728\u8fd9\u516b\u5e74\u7684\u65f6\u95f4\u91cc\uff0c\u6027\u80fd\u63d0\u5347\u5c06\u53ea\u6709250\u500d\u3002<\/p>\n\n\n\n

\u964d\u4f4e\u80fd\u6e90\u6210\u672c\u662f\u4e00\u56de\u4e8b;\u964d\u4f4e\u7cfb\u7edf\u6210\u672c\u662f\u53e6\u4e00\u56de\u4e8b\u3002\u5728\u4f20\u7edf\u7684\u6469\u5c14\u5b9a\u5f8b\u7ed3\u675f\u65f6\uff0c\u4e24\u8005\u90fd\u662f\u975e\u5e38\u56f0\u96be\u7684\u6280\u5de7\uff0c\u5728\u4f20\u7edf\u6469\u5c14\u5b9a\u5f8b\u4e2d\uff0c\u6bcf 18 \u5230 24 \u4e2a\u6708\u7f29\u5c0f\u4e00\u6b21\u6676\u4f53\u7ba1\uff0c\u82af\u7247\u5c31\u4f1a\u53d8\u5f97\u66f4\u4fbf\u5b9c\u3001\u66f4\u5c0f\u3002\u73b0\u5728\uff0c\u8ba1\u7b97\u590d\u5408\u4f53\u5904\u4e8e\u5341\u5b57\u7ebf\u6781\u9650\uff0c\u6bcf\u4e2a\u6676\u4f53\u7ba1\u90fd\u53d8\u5f97\u8d8a\u6765\u8d8a\u6602\u8d35\uff0c\u56e0\u6b64\uff0c\u7531\u6676\u4f53\u7ba1\u5236\u6210\u7684\u8bbe\u5907\u672c\u8eab\u4e5f\u662f\u5982\u6b64\u3002HBM \u5185\u5b58\u662f\u6210\u672c\u7684\u5f88\u5927\u4e00\u90e8\u5206\uff0c\u9ad8\u7ea7\u5c01\u88c5\u4e5f\u662f\u5982\u6b64\u3002<\/p>\n\n\n\n

\u5728 SXM \u7cfb\u5217 GPU \u63d2\u69fd\u4e2d\uff08\u4e0d\u5728 GPU \u7684 PCI-Express \u7248\u672c\u4e2d\uff09\uff0cP100 \u5728\u53d1\u5e03\u65f6\u7684\u6210\u672c\u7ea6\u4e3a 5,000 \u7f8e\u5143;V100 \u7684\u6210\u672c\u7ea6\u4e3a 10,000 \u7f8e\u5143;A100 \u7684\u4ef7\u683c\u7ea6\u4e3a 15,000 \u7f8e\u5143;H100 \u7684\u4ef7\u683c\u7ea6\u4e3a 25,000 \u81f3 30,000 \u7f8e\u5143\u3002B100 \u7684\u4ef7\u683c\u9884\u8ba1\u5728 35,000 \u7f8e\u5143\u5230 40,000 \u7f8e\u5143\u4e4b\u95f4\u2014\u2014\u9ec4\u4ec1\u52cb\u672c\u4eba\u4eca\u5e74\u65e9\u4e9b\u65f6\u5019\u5728 CNBC<\/em> \u4e0a\u53d1\u8868\u8bb2\u8bdd\u65f6\u8868\u793a\uff0c\u5e03\u83b1\u514b\u5a01\u5c14\u7684\u4ef7\u683c\u3002<\/p>\n\n\n\n

\u9ec4\u4ec1\u52cb\u6ca1\u6709\u900f\u9732\u7684\u662f\uff0c\u6bcf\u4e00\u4ee3\u9700\u8981\u591a\u5c11\u4e2aGPU\u6765\u8bad\u7ec3GPT-4 1.8T MoE\u6a21\u578b\uff0c\u4ee5\u53ca\u8fd9\u4e9bGPU\u6216\u7535\u529b\u7684\u8fd0\u884c\u6210\u672c\u662f\u591a\u5c11\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u73a9\u4e86\u4e00\u70b9\u7535\u5b50\u8868\u683c\u7684\u4e50\u8da3\uff0c\u57fa\u4e8e\u9ec4\u4ec1\u52cb\u6240\u8bf4\u7684\u5728\u5927\u7ea6\u5341\u5929\u5185\u9700\u8981\u5927\u7ea6 10,000 \u4e2a B100 \u6765\u8bad\u7ec3 GPT-4 1.8T MoE\u3002\u770b\u4e00\u770b\uff1a<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

\u5728\u8fd9\u516b\u5e74\u4e2d\uff0cGPU \u4ef7\u683c\u4e0a\u6da8\u4e86 7.5 \u500d\uff0c\u4f46\u6027\u80fd\u5374\u4e0a\u6da8\u4e86 1,000 \u500d\u4ee5\u4e0a\u3002\u56e0\u6b64\uff0c\u73b0\u5728\u53ef\u4ee5\u60f3\u8c61\uff0c\u4f7f\u7528 Blackwell \u7cfb\u7edf\u53ef\u4ee5\u5728 10 \u5929\u5de6\u53f3\u7684\u65f6\u95f4\u91cc\u5b9e\u9645\u8bad\u7ec3\u51fa\u50cf GPT-4 \u8fd9\u6837\u5177\u6709 1.8 \u4e07\u4ebf\u4e2a\u53c2\u6570\u7684\u5927\u578b\u6a21\u578b\uff0c\u800c\u5373\u4f7f\u5728\u4e24\u5e74\u524d Hopper \u4e00\u4ee3\u5f00\u59cb\u65f6\uff0c\u4e5f\u5f88\u96be\u5728\u51e0\u4e2a\u6708\u5185\u8bad\u7ec3\u51fa\u5177\u6709\u6570\u5343\u4ebf\u4e2a\u53c2\u6570\u7684\u6a21\u578b\u3002\u73b0\u5728\uff0c\u7cfb\u7edf\u6210\u672c\u5c06\u4e0e\u8be5\u7cfb\u7edf\u5927\u7ea6\u4e24\u5e74\u7684\u7535\u529b\u6210\u672c\u76f8\u5f53\u3002\uff08GPU \u7ea6\u5360 AI \u8bad\u7ec3\u7cfb\u7edf\u6210\u672c\u7684\u4e00\u534a\uff0c\u56e0\u6b64\u8d2d\u4e70 10,000 GPU Blackwell \u7cfb\u7edf\u5927\u7ea6\u9700\u8981 8 \u4ebf\u7f8e\u5143\uff0c\u800c\u8fd0\u884c 10 \u5929\u7684\u7535\u8d39\u7ea6\u4e3a 540,000 \u7f8e\u5143\u3002\u5982\u679c\u60a8\u8d2d\u4e70\u66f4\u5c11\u7684 GPU\uff0c\u60a8\u53ef\u4ee5\u51cf\u5c11\u6bcf\u5929\u3001\u6bcf\u5468\u6216\u6bcf\u6708\u7684\u7535\u8d39\uff0c\u4f46\u60a8\u4e5f\u4f1a\u6309\u6bd4\u4f8b\u589e\u52a0\u8bad\u7ec3\u65f6\u95f4\uff0c\u8fd9\u4f1a\u518d\u6b21\u63d0\u9ad8\u8bad\u7ec3\u65f6\u95f4\u3002<\/p>\n\n\n\n

\u4f60\u8d62\u4e0d\u4e86\uff0c\u4f60\u4e5f\u4e0d\u80fd\u653e\u5f03\u3002<\/p>\n\n\n\n

\u4f60\u731c\u600e\u4e48\u7740\uff1f\u82f1\u4f1f\u8fbe\u4e5f\u4e0d\u80fd\u3002\u6240\u4ee5\u5c31\u662f\u8fd9\u6837\u3002\u5373\u4f7f Hopper H100 GPU \u5e73\u53f0\u662f\u201c\u5386\u53f2\u4e0a\u6700\u6210\u529f\u7684\u6570\u636e\u4e2d\u5fc3\u5904\u7406\u5668\u201d\uff0c\u6b63\u5982\u9ec4\u4ec1\u52cb\u5728\u4ed6\u7684 Computex \u4e3b\u9898\u6f14\u8bb2\u4e2d\u6240\u8bf4\u7684\u90a3\u6837\uff0c\u82f1\u4f1f\u8fbe\u4e5f\u5fc5\u987b\u7ee7\u7eed\u63a8\u52a8\u3002<\/p>\n\n\n\n

\u65c1\u6ce8\uff1a\u6211\u4eec\u5f88\u4e50\u610f\u5c06\u970d\u73c0\/\u5e03\u83b1\u514b\u5a01\u5c14\u7684\u8fd9\u4e2a\u6295\u8d44\u5468\u671f\u4e0e\u516d\u5341\u5e74\u524d\u7684IBM System\/360\u53d1\u5e03\u8fdb\u884c\u6bd4\u8f83\uff0c\u6b63\u5982\u6211\u4eec\u53bb\u5e74\u89e3\u91ca\u7684\u90a3\u6837<\/a>\uff0cIBM\u5728\u90a3\u573a\u6295\u8d44\u5468\u671f\u4e2d\u505a\u51fa\u4e86\u4ecd\u7136\u662f\u516c\u53f8\u5386\u53f2\u4e0a\u6700\u5927\u7684\u8d4c\u6ce8\u30021961 \u5e74\uff0c\u5f53 IBM \u5f00\u59cb\u5176\u201c\u4e0b\u4e00\u4ee3\u4ea7\u54c1\u7ebf\u201d\u7814\u53d1\u9879\u76ee\u65f6\uff0c\u5b83\u662f\u4e00\u5bb6\u5e74\u6536\u5165 22 \u4ebf\u7f8e\u5143\u7684\u516c\u53f8\uff0c\u5230 1960 \u5e74\u4ee3\u82b1\u8d39\u8d85\u8fc7 50 \u4ebf\u7f8e\u5143\u3002 Big Blue \u662f\u534e\u5c14\u8857\u7b2c\u4e00\u5bb6\u84dd\u7b79\u80a1\u516c\u53f8\uff0c\u6b63\u662f\u56e0\u4e3a\u5b83\u82b1\u8d39\u4e86\u4e24\u5e74\u7684\u6536\u5165\u548c\u4e8c\u5341\u5e74\u7684\u5229\u6da6\u6765\u521b\u5efa System\/360\u3002\u662f\u7684\uff0c\u5b83\u7684\u67d0\u4e9b\u90e8\u5206\u662f\u8fdf\u5230\u7684\u548c\u8868\u73b0\u4e0d\u4f73\u7684\uff0c\u4f46\u5b83\u5f7b\u5e95\u6539\u53d8\u4e86\u4f01\u4e1a\u6570\u636e\u5904\u7406\u7684\u6027\u8d28\u3002IBM \u8ba4\u4e3a\u5b83\u53ef\u80fd\u4f1a\u5728 1960 \u5e74\u4ee3\u540e\u671f\u63a8\u52a8 600 \u4ebf\u7f8e\u5143\u7684\u9500\u552e\u989d\uff08\u4ee5 2019 \u5e74\u7684\u7f8e\u5143\u8861\u91cf\uff0c\u6211\u4eec\u5bf9\u5176\u8fdb\u884c\u4e86\u8c03\u6574\uff09\uff0c\u4f46\u4ed6\u4eec\u63a8\u52a8\u4e86 1390 \u4ebf\u7f8e\u5143\uff0c\u5229\u6da6\u7ea6\u4e3a 520 \u4ebf\u7f8e\u5143\u3002<\/p>\n\n\n\n

\u82f1\u4f1f\u8fbe\u53ef\u4ee5\u8bf4\u4e3a\u6570\u636e\u4e2d\u5fc3\u7684\u7b2c\u4e8c\u9636\u6bb5\u8ba1\u7b97\u6380\u8d77\u4e86\u66f4\u5927\u7684\u6d6a\u6f6e\u3002\u6240\u4ee5\u4e5f\u8bb8\u73b0\u5728\u771f\u6b63\u7684\u8d62\u5bb6\u4f1a\u88ab\u79f0\u4e3a\u7eff\u7b79\u516c\u53f8\uff1f<\/p>\n\n\n\n

\u62b5\u6297\u662f\u5f92\u52b3\u7684<\/h3>\n\n\n\n

\u65e0\u8bba\u662f\u82f1\u4f1f\u8fbe\u8fd8\u662f\u5176\u7ade\u4e89\u5bf9\u624b\u6216\u5176\u5ba2\u6237\uff0c\u90fd\u65e0\u6cd5\u6297\u62d2\u672a\u6765\u7684\u5f15\u529b\u4ee5\u53ca\u5229\u6da6\u548c\u751f\u4ea7\u529b\u7684\u627f\u8bfa\uff0c\u751f\u6210\u5f0f\u4eba\u5de5\u667a\u80fd\u4e0d\u4ec5\u5728\u6211\u4eec\u8033\u8fb9\u4f4e\u8bed\uff0c\u800c\u4e14\u5728\u5c4b\u9876\u4e0a\u5927\u558a\u5927\u53eb\u3002<\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u82f1\u4f1f\u8fbe\u5c06\u52a0\u5feb\u6b65\u4f10\u5e76\u6311\u6218\u6781\u9650\u3002\u8be5\u94f6\u884c\u6709250\u4ebf\u7f8e\u5143\uff0c\u9884\u8ba1\u4eca\u5e74\u7684\u6536\u5165\u5c06\u8d85\u8fc71000\u4ebf\u7f8e\u5143\uff0c\u53ef\u80fd\u8fd8\u4f1a\u6709500\u4ebf\u7f8e\u5143\u8fdb\u5165\u8be5\u94f6\u884c\uff0c\u5b83\u6709\u80fd\u529b\u6311\u6218\u6781\u9650\uff0c\u5c06\u6211\u4eec\u6240\u6709\u4eba\u5e26\u5165\u672a\u6765\u3002<\/p>\n\n\n\n

\u201c\u5728\u8fd9\u4e2a\u4ee4\u4eba\u96be\u4ee5\u7f6e\u4fe1\u7684\u589e\u957f\u65f6\u671f\uff0c\u6211\u4eec\u5e0c\u671b\u786e\u4fdd\u6211\u4eec\u7ee7\u7eed\u63d0\u9ad8\u6027\u80fd\uff0c\u7ee7\u7eed\u964d\u4f4e\u6210\u672c\u2014\u2014\u8bad\u7ec3\u6210\u672c\u3001\u63a8\u7406\u6210\u672c\u2014\u2014\u5e76\u7ee7\u7eed\u6269\u5c55\u4eba\u5de5\u667a\u80fd\u529f\u80fd\uff0c\u8ba9\u6bcf\u5bb6\u516c\u53f8\u90fd\u80fd\u63a5\u53d7\u3002\u6211\u4eec\u8fdb\u4e00\u6b65\u63d0\u9ad8\u6027\u80fd\uff0c\u6210\u672c\u4e0b\u964d\u5e45\u5ea6\u5c31\u8d8a\u5927\u3002<\/p>\n\n\n\n

\u6b63\u5982\u6211\u4eec\u4e0a\u9762\u7684\u8868\u683c\u6e05\u695a\u5730\u8868\u660e\u7684\u90a3\u6837\uff0c\u8fd9\u662f\u771f\u7684\u3002<\/p>\n\n\n\n

\u8fd9\u5c06\u6211\u4eec\u5e26\u5230\u4e86\u66f4\u65b0\u7684 Nvidia \u5e73\u53f0\u8def\u7ebf\u56fe\uff1a<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

\u8fd9\u6709\u70b9\u96be\u8bfb\uff0c\u6240\u4ee5\u8ba9\u6211\u4eec\u6765\u770b\u770b\u3002<\/p>\n\n\n\n

\u5728 Hopper \u4e00\u4ee3\u4e2d\uff0c\u6700\u521d\u7684 H100 \u4e8e 2022 \u5e74\u63a8\u51fa\uff0c\u914d\u5907\u516d\u5806 HBM3 \u5185\u5b58\uff0c\u5e26\u6709\u4e00\u4e2a\u5177\u6709 900 GB\/\u79d2\u7aef\u53e3\u7684 NVSwitch\uff0c\u53ef\u5c06\u5b83\u4eec\u8fde\u63a5\u5728\u4e00\u8d77\uff0c\u5e76\u914d\u6709\u5177\u6709 400 Gb\/\u79d2\u7aef\u53e3\u7684 Quantum X400\uff08\u4ee5\u524d\u79f0\u4e3a Quantum-2\uff09InfiniBand \u4ea4\u6362\u673a\u548c ConnectX-7 \u7f51\u7edc\u63a5\u53e3\u5361\u30022023 \u5e74\uff0cH200 \u5347\u7ea7\u5230\u516d\u5806 HBM3E \u5185\u5b58\uff0c\u5177\u6709\u66f4\u9ad8\u7684\u5bb9\u91cf\u548c\u5e26\u5bbd\uff0c\u8fd9\u63d0\u5347\u4e86 H200 \u5c01\u88c5\u4e2d\u5e95\u5c42 H100 GPU \u7684\u6709\u6548\u6027\u80fd\u3002BlueField 3 NIC \u4e5f\u95ee\u4e16\u4e86\uff0c\u5b83\u4e3a NIC \u6dfb\u52a0\u4e86 Arm \u5185\u6838\uff0c\u56e0\u6b64\u5b83\u4eec\u53ef\u4ee5\u6267\u884c\u8f85\u52a9\u5de5\u4f5c\u3002<\/p>\n\n\n\n

\u5230 2024 \u5e74\uff0cBlackwell GPU \u5f53\u7136\u4f1a\u63a8\u51fa 8 \u4e2a HBM3e \u5185\u5b58\u5806\u6808\uff0c\u5e76\u4e0e\u5177\u6709 1.8 TB\/\u79d2\u7aef\u53e3\u7684 NVSwitch 5 \u548c 800 Gb\/\u79d2\u7684 ConnectX-8 NIC \u4ee5\u53ca\u5177\u6709 800 GB\/\u79d2\u7aef\u53e3\u7684 Spectrum-X800 \u548c Quantum-X800 \u4ea4\u6362\u673a\u914d\u5bf9\u3002<\/p>\n\n\n\n

\u6211\u4eec\u73b0\u5728\u53ef\u4ee5\u770b\u5230\uff0c\u5230 2025 \u5e74\uff0c\u4e0a\u56fe\u4e2d\u79f0\u4e3a Blackwell Ultra \u7684 B200 \u5c06\u62e5\u6709 8 \u4e2a HBM3e \u5185\u5b58\u5806\u6808\uff0c\u8fd9\u4e9b\u5185\u5b58\u9ad8 12 \u4e2a\u3002\u636e\u63a8\u6d4b\uff0cB100 \u4e2d\u7684\u5806\u6808\u6709 8 \u4e2a\u9ad8\uff0c\u56e0\u6b64\u8fd9\u5e94\u8be5\u4ee3\u8868 Blackwell Ultra \u4e0a\u7684 HBM \u5185\u5b58\u5bb9\u91cf\u81f3\u5c11\u589e\u52a0\u4e86 50%\uff0c\u5e76\u4e14\u53ef\u80fd\u66f4\u591a\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u6240\u4f7f\u7528\u7684 DRAM \u5bb9\u91cf\u3002HBM3E\u5185\u5b58\u7684\u65f6\u949f\u901f\u5ea6\u4e5f\u53ef\u4ee5\u66f4\u9ad8\u3002\u82f1\u4f1f\u8fbe\u5bf9\u5e03\u83b1\u514b\u5a01\u5c14\u7cfb\u5217\u7684\u5185\u5b58\u5bb9\u91cf\u6709\u70b9\u6a21\u7cca\uff0c\u4f46\u6211\u4eec\u5728\u4e09\u6708\u4efd\u7684\u5e03\u83b1\u514b\u5a01\u5c14\u53d1\u5e03\u4f1a\u4e0a\u4f30\u8ba1\uff0cB100\u5c06\u62e5\u6709192 GB\u7684\u5185\u5b58\u548c8 TB \/\u79d2\u7684\u5e26\u5bbd\u3002\u5bf9\u4e8e\u672a\u6765\u7684 Blackwell Ultra\uff0c\u6211\u4eec\u9884\u8ba1\u4f1a\u63d0\u4f9b\u66f4\u5feb\u7684\u5185\u5b58\uff0c\u5e76\u4e14\u770b\u5230 288 GB \u7684\u5185\u5b58\u548c 9.6 TB\/\u79d2\u7684\u5e26\u5bbd\u4e5f\u5c31\u4e0d\u8db3\u4e3a\u5947\u4e86\u3002<\/p>\n\n\n\n

\u6211\u4eec\u8ba4\u4e3a Ultra \u53d8\u4f53\u5728 SM \u4e0a\u6709\u4e00\u4e9b\u4ea7\u91cf\u6539\u8fdb\u7684\u53ef\u80fd\u6027\u4e0d\u4e3a\u96f6\uff0c\u8fd9\u5c06\u4f7f\u5b83\u4eec\u80fd\u591f\u8868\u73b0\u51fa\u6bd4\u975e Ultra \u524d\u8f88\u7565\u9ad8\u7684\u6027\u80fd\u3002\u8fd9\u5c06\u53d6\u51b3\u4e8e\u4ea7\u91cf\u3002<\/p>\n\n\n\n

\u82f1\u4f1f\u8fbe\u8fd8\u5c06\u57282025\u5e74\u63a8\u51fa\u66f4\u9ad8\u7684\u57fa\u6570Spectrum-X800\u4ee5\u592a\u7f51\u4ea4\u6362\u673a\uff0c\u53ef\u80fd\u5728\u76d2\u5b50\u91cc\u6709\u516d\u4e2aASIC\uff0c\u4ee5\u521b\u5efa\u4e00\u4e2a\u975e\u963b\u585e\u67b6\u6784\uff0c\u5c31\u50cf\u5176\u4ed6\u4ea4\u6362\u673a\u901a\u5e38\u6240\u505a\u7684\u90a3\u6837<\/a>\uff0c\u5c06\u805a\u5408\u5e26\u5bbd\u589e\u52a0\u4e00\u500d\uff0c\u4ece\u800c\u4f7f\u6bcf\u4e2a\u7aef\u53e3\u7684\u5e26\u5bbd\u6216\u4ea4\u6362\u673a\u4e2d\u7684\u7aef\u53e3\u6570\u91cf\u589e\u52a0\u4e00\u500d\u3002<\/p>\n\n\n\n

2026 \u5e74\uff0c\u6211\u4eec\u5c06\u770b\u5230\u201cRubin\u201dR100 GPU\uff0c\u5b83\u5728\u53bb\u5e74\u53d1\u5e03\u7684 Nvidia \u8def\u7ebf\u56fe\u4e2d\u4ee5\u524d\u88ab\u79f0\u4e3a X100<\/a>\uff0c\u6b63\u5982\u6211\u4eec\u5f53\u65f6\u6240\u8bf4\uff0c\u6211\u4eec\u8ba4\u4e3a X \u662f\u4e00\u4e2a\u53d8\u91cf\uff0c\u800c\u4e0d\u662f\u4efb\u4f55\u4e1c\u897f\u7684\u7f29\u5199\u3002\u4e8b\u5b9e\u8bc1\u660e\u8fd9\u662f\u771f\u7684\u3002Rubin GPU \u5c06\u4f7f\u7528 HBM4 \u5185\u5b58\uff0c\u5e76\u5c06\u6709\u516b\u4e2a\u5806\u6808\uff0c\u6bcf\u4e2a\u5806\u6808\u5927\u6982\u6709\u5341\u51e0\u4e2a DRAM \u9ad8\uff0c\u800c 2027 \u5e74\u7684 Rubin Ultra GPU \u5c06\u6709\u5341\u51e0\u4e2a\u5806\u6808\u7684 HBM4 \u5185\u5b58\uff0c\u53ef\u80fd\u8fd8\u6709\u66f4\u9ad8\u7684\u5806\u6808\uff08\u5c3d\u7ba1\u8def\u7ebf\u56fe\u6ca1\u6709\u8fd9\u4e48\u8bf4\uff09\u3002<\/p>\n\n\n\n

\u76f4\u5230 2026 \u5e74\uff0c\u6211\u4eec\u624d\u770b\u5230 Nvidia \u63a8\u51fa\u7684 Arm \u670d\u52a1\u5668 CPU\uff0c\u5c4a\u65f6\u5f53\u524d\u201cGrace\u201dCPU \u7684\u540e\u7eed\u4ea7\u54c1\u201cVera\u201dCPU \u95ee\u4e16\u3002NVSwitch 6 \u82af\u7247\u4e0e\u8fd9\u4e9b\u82af\u7247\u914d\u5bf9\uff0c\u7aef\u53e3\u4e3a 3.6 TB\/\u79d2\uff0cConnectX-9 \u82af\u7247\u7684\u7aef\u53e3\u8fd0\u884c\u901f\u5ea6\u4e3a 1.6 TB\/\u79d2\u3002\u6709\u8da3\u7684\u662f\uff0c\u6709\u4e00\u79cd\u53eb\u505aX1600 IB\/\u4ee5\u592a\u7f51\u4ea4\u6362\u673a\u7684\u4e1c\u897f\uff0c\u8fd9\u53ef\u80fd\u610f\u5473\u7740\u82f1\u4f1f\u8fbe\u6b63\u5728\u878d\u5408\u5176InfiniBand\u548c\u4ee5\u592a\u7f51ASIC\uff0c\u5c31\u50cfMellanox\u5341\u5e74\u524d\u6240\u505a\u7684\u90a3\u6837\u3002\u6216\u8005\uff0c\u8fd9\u53ef\u80fd\u610f\u5473\u7740 Nvidia \u6b63\u8bd5\u56fe\u8ba9\u6211\u4eec\u90fd\u60f3\u77e5\u9053\u5b83\u7684\u4e50\u8da3\u30022027 \u5e74\u8fd8\u6709\u5176\u4ed6\u6697\u793a\uff0c\u8fd9\u53ef\u80fd\u610f\u5473\u7740 Ultra Ethernet Consortium \u5bf9 NIC \u548c\u4ea4\u6362\u673a\u7684\u5168\u9762\u652f\u6301<\/a>\uff0c\u751a\u81f3\u53ef\u80fd\u662f\u7528\u4e8e\u5728\u8282\u70b9\u5185\u90e8\u548c\u673a\u67b6\u4e4b\u95f4\u5c06 GPU \u8fde\u63a5\u5728\u4e00\u8d77\u7684 UALink \u4ea4\u6362\u673a<\/a>\u3002<\/p>\n\n\n\n

\u6211\u4eec\u5728\u5f00\u73a9\u7b11\u3002\u4f46\u66f4\u5947\u602a\u7684\u4e8b\u60c5\u53d1\u751f\u4e86\u3002<\/p>\n\n\n\n

\u539f\u6587\u8fde\u63a5\uff1ahttps:\/\/www.nextplatform.com\/2024\/06\/02\/nvidia-unfolds-gpu-interconnect-roadmaps-out-to-2027\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

6\u6708 2\uff0c 2024 \u8482\u83ab\u897f\u00b7\u666e\u91cc\u514b\u7279\u00b7\u6469\u6839 \u5728\u8ba1\u7b97\u3001\u7f51\u7edc\u548c\u56fe\u5f62\u7684\u5386\u53f2\u4e2d\uff0cNvidia \u6709\u8bb8\u591a\u72ec\u7279\u4e4b […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[444,445],"tags":[296,475,476],"class_list":["post-4042","post","type-post","status-publish","format-standard","hentry","category-ai","category-ainews","tag-ai","tag-nvidia","tag-476"],"views":1109,"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts\/4042","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4042"}],"version-history":[{"count":1,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts\/4042\/revisions"}],"predecessor-version":[{"id":4044,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=\/wp\/v2\/posts\/4042\/revisions\/4044"}],"wp:attachment":[{"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4042"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4042"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aqwu.net\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4042"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}