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

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

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\u51b7\u5374\u5982\u6b64\u708e\u70ed\u7684GPU\u5c06\u662f\u4e00\u9879\u6709\u8da3\u7684\u4efb\u52a1\uff0c\u5c3d\u7ba1\u5e76\u4e0d\u8d85\u51fa\u76ee\u524d\u7684\u6280\u672f\u3002\u5728\u8fd9\u79cd\u529f\u7387\u6c34\u5e73\u4e0b\uff0c\u6211\u4eec\u51e0\u4e4e\u80af\u5b9a\u4f1a\u770b\u5230\u6db2\u4f53\u51b7\u5374\uff0c\u800cSXM\u7684\u5916\u5f62\u5c3a\u5bf8\u975e\u5e38\u9002\u5408\u3002\u4e0d\u8fc7\uff0c\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u7ade\u4e89\u5bf9\u624b\u7684OAM\u5916\u5f62\u5c3a\u5bf8\u2014\u57fa\u672c\u4e0a\u662f\u5f00\u653e\u8ba1\u7b97\u9879\u76ee\u5728\u52a0\u901f\u5668\u4e2d\u4f7f\u7528\u7684SXM\u2014\u8bbe\u8ba1\u7684\u6700\u9ad8\u529f\u7387\u4e3a700W\u3002\u56e0\u6b64\uff0c\u82f1\u4f1f\u8fbe\u4f3c\u4e4e\u6b63\u5728\u63a5\u8fd1\u5939\u5c42\u5f0f\u663e\u5361\u6240\u80fd\u5904\u7406\u7684\u4e0a\u9650\uff0c\u524d\u63d0\u662f\u5404\u4f9b\u5e94\u5546\u4e0d\u91c7\u7528\u5947\u7279\u7684\u51b7\u5374\u65b9\u6cd5\u3002<\/p>\n\n\n\n

\u540c\u65f6\uff0cH100 PCie\u5361\u7684TDP\u5c06\u4ece\u73b0\u5728\u7684300W\u63d0\u9ad8\u5230350W\u3002\u9274\u4e8e300W\u662fPCIe\u5361\u7684\u4f20\u7edf\u6781\u9650\uff0c\u770b\u770bNVIDIA\u53ca\u5176\u5408\u4f5c\u4f19\u4f34\u5982\u4f55\u4fdd\u6301\u8fd9\u4e9b\u5361\u7684\u51b7\u5374\uff0c\u5c06\u662f\u4e00\u4ef6\u5f88\u6709\u8da3\u7684\u4e8b\u60c5\u3002\u5426\u5219\uff0c\u7531\u4e8eTDP\u53ea\u6709SXM\u5361\u7684\u4e00\u534a\uff0c\u6211\u4eec\u9884\u8ba1PCIe\u7248\u672c\u7684\u65f6\u949f\/\u914d\u7f6e\u4f1a\u660e\u663e\u53d8\u6162\uff0c\u4ee5\u63a7\u5236\u8be5\u5361\u7684\u529f\u8017\u3002<\/p>\n\n\n\n

Hopper Tensor \u6838\u5fc3: \u73b0\u5728\u6709\u4e86\u8f6c\u5316\u5668\u5f15\u64ce<\/h2>\n\n\n\n

\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8ba8\u8bbaHopper\u67b6\u6784\u7684\u91cd\u8981\u67b6\u6784\u529f\u80fd\uff0c\u9996\u5148\u662fNVIDIA\u7684\u8f6c\u5316\u5668\u5f15\u64ce\u3002\u53d8\u538b\u5668\u5f15\u64ce\u540d\u526f\u5176\u5b9e\uff0c\u5b83\u662f\u4e00\u79cd\u65b0\u578b\u7684\u3001\u9ad8\u5ea6\u4e13\u4e1a\u5316\u7684\u5f20\u91cf\u6838\u5fc3\uff0c\u65e8\u5728\u8fdb\u4e00\u6b65\u52a0\u901f\u53d8\u538b\u5668ML\u6a21\u578b\u3002<\/p>\n\n\n\n

\u4e3a\u4e86\u4e0e\u82f1\u4f1f\u8fbe\u5bf9\u673a\u5668\u5b66\u4e60\u7684\u5173\u6ce8\u4fdd\u6301\u4e00\u81f4\uff0c\u5bf9\u4e8eHopper\u67b6\u6784\uff0c\u8be5\u516c\u53f8\u91cd\u65b0\u5ba1\u89c6\u4e86ML\u5e02\u573a\u7684\u6784\u6210\uff0c\u4ee5\u53ca\u54ea\u4e9b\u5de5\u4f5c\u8d1f\u8f7d\u5728\u73b0\u6709\u786c\u4ef6\u4e0a\u53d7\u6b22\u8fce\u548c\/\u6216\u8981\u6c42\u6700\u9ad8\u3002\u5728\u8fd9\u65b9\u9762\uff0c\u8d62\u5bb6\u662f\u53d8\u538b\u5668\uff08https:\/\/en.wikipedia.org\/wiki\/Transformer_(machine_learning_model)\uff09\uff0c\u8fd9\u662f\u4e00\u79cd\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u7531\u4e8e\u5176\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d\u7684\u5b9e\u7528\u6027\u800c\u8fc5\u901f\u6d41\u884c\u8d77\u6765\u4e86\u3002\u6700\u8fd1\u53d8\u538b\u5668\u6280\u672f\u7684\u8fdb\u6b65\uff0c\u5982GPT-3\uff08https:\/\/en.wikipedia.org\/wiki\/GPT-3\uff09\u6a21\u578b\uff0c\u52a0\u4e0a\u670d\u52a1\u8fd0\u8425\u5546\u5bf9\u66f4\u597d\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u9700\u6c42\uff0c\u4f7f\u53d8\u538b\u5668\u6210\u4e3aML\u9886\u57df\u7684\u6700\u65b0\u91cd\u5927\u7a81\u7834\u3002<\/a><\/p>\n\n\n\n

\u4f46\u4e0e\u6b64\u540c\u65f6\uff0c\u53d8\u538b\u5668\u7684\u5904\u7406\u8981\u6c42\u4e5f\u963b\u788d\u4e86\u66f4\u597d\u7684\u6a21\u578b\u7684\u53d1\u5c55\u3002\u7b80\u800c\u8a00\u4e4b\uff0c\u66f4\u597d\u7684\u6a21\u578b\u9700\u8981\u8d8a\u6765\u8d8a\u591a\u7684\u53c2\u6570\uff0c\u4ec5GPT-3\u5c31\u6709\u8d85\u8fc71750\u4ebf\u4e2a\u53c2\u6570\uff0c\u5373\u4f7f\u5728\u5927\u578bGPU\u96c6\u7fa4\u4e0a\uff0c\u53d8\u538b\u5668\u7684\u8bad\u7ec3\u65f6\u95f4\u4e5f\u53d8\u5f97\u96be\u4ee5\u5e94\u4ed8\u3002<\/p>\n\n\n\n

\u4e3a\u6b64\uff0c\u82f1\u4f1f\u8fbe\u516c\u53f8\u5f00\u53d1\u4e86\u4e00\u4e2a\u5f20\u91cf\u6838\u5fc3\u7684\u53d8\u4f53\uff0c\u4e13\u95e8\u7528\u4e8e\u52a0\u5feb\u53d8\u6362\u5668\u7684\u8bad\u7ec3\u548c\u63a8\u7406\uff0c\u4ed6\u4eec\u5c06\u5176\u79f0\u4e3a\u53d8\u6362\u5668\u5f15\u64ce\u3002\u82f1\u4f1f\u8fbe\u5bf9\u8fd9\u4e2a\u65b0\u5355\u5143\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u5c06\u5176\u7b80\u5316\u4e3a\u53ea\u5904\u7406\u5927\u591a\u6570\u8f6c\u5316\u5668\u4f7f\u7528\u7684\u4f4e\u7cbe\u5ea6\u6570\u636e\u683c\u5f0f\uff08FP16\uff09\uff0c\u7136\u540e\u901a\u8fc7\u5f15\u5165FP8\u683c\u5f0f\u8fdb\u4e00\u6b65\u7f29\u5c0f\u89c4\u6a21\u3002\u7b80\u800c\u8a00\u4e4b\uff0c\u65b0\u5355\u5143\u7684\u76ee\u6807\u662f\u5728\u6bcf\u4e00\u6b65\u90fd\u4f7f\u7528\u5fc5\u8981\u7684\u6700\u4f4e\u7cbe\u5ea6\u6765\u8bad\u7ec3\u53d8\u538b\u5668\u800c\u4e0d\u635f\u5931\u7cbe\u5ea6\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u5c31\u662f\u8981\u907f\u514d\u505a\u8d85\u8fc7\u5fc5\u8981\u7684\u5de5\u4f5c\u3002<\/p>\n\n\n\n

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

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\u7ed3\u5408H100\u4e0a\u7684\u989d\u5916\u5185\u5b58\u548c\u66f4\u5feb\u7684NVLink 4 I\/O\uff0c\u82f1\u4f1f\u8fbe\u58f0\u79f0\uff0c\u4e00\u4e2a\u5927\u578bGPU\u96c6\u7fa4\u8bad\u7ec3\u53d8\u538b\u5668\u7684\u901f\u5ea6\u53ef\u4ee5\u63d0\u9ad89\u500d\uff0c\u8fd9\u5c06\u4f7f\u5f53\u4eca\u6700\u5927\u7684\u6a21\u578b\u7684\u8bad\u7ec3\u65f6\u95f4\u4e0b\u964d\u5230\u66f4\u5408\u7406\u7684\u65f6\u95f4\u6bb5\uff0c\u5e76\u4f7f\u66f4\u5927\u7684\u6a21\u578b\u66f4\u5207\u5b9e\u53ef\u884c\u5730\u5f97\u5230\u89e3\u51b3\u3002<\/p>\n\n\n\n

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DPX\u6307\u4ee4\uff0c\u7528\u4e8eGPU\u7684\u52a8\u6001\u7f16\u7a0b<\/h2>\n\n\n\n

\u82f1\u4f1f\u8fbe\u516c\u53f8\u5bf9Hopper\u67b6\u6784\u7684\u53e6\u4e00\u5927\u667a\u80fd\u6539\u8fdb\u6765\u81ea\u4e8e\u52a8\u6001\u7f16\u7a0b\u9886\u57df\uff08https:\/\/en.wikipedia.org\/wiki\/Dynamic_programming\uff09\u3002\u5bf9\u4e8e\u4ed6\u4eec\u6700\u65b0\u4e00\u4ee3\u7684\u6280\u672f\uff0c\u82f1\u4f1f\u8fbe\u516c\u53f8\u6b63\u5728\u589e\u52a0\u5bf9\u7f16\u7a0b\u6a21\u578b\u7684\u652f\u6301\uff0c\u589e\u52a0\u4e86\u4e00\u5957\u4e13\u95e8\u7528\u4e8e\u52a8\u6001\u7f16\u7a0b\u7684\u65b0\u6307\u4ee4\u3002\u8be5\u516c\u53f8\u5c06\u8fd9\u4e9b\u6307\u4ee4\u79f0\u4e3aDPX\u6307\u4ee4\u3002<\/a><\/p>\n\n\n\n

\u7b80\u800c\u8a00\u4e4b\uff0c\u52a8\u6001\u7f16\u7a0b\u662f\u4e00\u79cd\u4ee5\u9012\u5f52\u65b9\u5f0f\u5c06\u590d\u6742\u95ee\u9898\u5206\u89e3\u4e3a\u66f4\u5c0f\u3001\u66f4\u7b80\u5355\u7684\u95ee\u9898\uff0c\u7136\u540e\u5148\u89e3\u51b3\u8fd9\u4e9b\u5c0f\u95ee\u9898\u3002\u52a8\u6001\u7f16\u7a0b\u7684\u5173\u952e\u7279\u5f81\u662f\uff0c\u5982\u679c\u8fd9\u4e9b\u5b50\u95ee\u9898\u4e2d\u6709\u4e00\u4e9b\u662f\u76f8\u540c\u7684\uff0c\u90a3\u4e48\u8fd9\u4e9b\u5197\u4f59\u53ef\u4ee5\u88ab\u8bc6\u522b\u548c\u6d88\u9664\u2014\u8fd9\u610f\u5473\u7740\u4e00\u4e2a\u5b50\u95ee\u9898\u53ef\u4ee5\u88ab\u89e3\u51b3\u4e00\u6b21\uff0c\u5176\u7ed3\u679c\u88ab\u4fdd\u5b58\u4e0b\u6765\uff0c\u4f9b\u5c06\u6765\u5728\u5927\u95ee\u9898\u4e2d\u4f7f\u7528\u3002<\/p>\n\n\n\n

\u6240\u6709\u8fd9\u4e9b\u90fd\u662f\u8bf4\uff0c\u50cfSparsity\u548cTransformer Engines\u4e00\u6837\uff0c\u82f1\u4f1f\u8fbe\u6b63\u5728\u5b9e\u65bd\u52a8\u6001\u7f16\u7a0b\uff0c\u8ba9\u4ed6\u4eec\u7684GPU\u6446\u8131\u505a\u66f4\u591a\u7684\u5de5\u4f5c\u3002\u901a\u8fc7\u6d88\u9664\u5de5\u4f5c\u8d1f\u8f7d\u7684\u5197\u4f59\u90e8\u5206\uff0c\u53ef\u4ee5\u6309\u7167\u52a8\u6001\u7f16\u7a0b\u7684\u89c4\u5219\u8fdb\u884c\u5206\u89e3\uff0cNVIDIA\u7684GPU\u9700\u8981\u505a\u7684\u5de5\u4f5c\u5c31\u4f1a\u5c11\u5f88\u591a\uff0c\u5b83\u4eec\u4ea7\u751f\u7ed3\u679c\u7684\u901f\u5ea6\u4e5f\u4f1a\u5feb\u5f88\u591a\u3002<\/p>\n\n\n\n

\u5c3d\u7ba1\u4e0eTransformer Engines\u4e0d\u540c\uff0c\u901a\u8fc7DPX\u6307\u4ee4\u589e\u52a0\u52a8\u6001\u7f16\u7a0b\u652f\u6301\uff0c\u4e0e\u5176\u8bf4\u662f\u4e3a\u4e86\u52a0\u5febGPU\u4e0a\u73b0\u6709\u5de5\u4f5c\u8d1f\u8f7d\u7684\u901f\u5ea6\uff0c\u4e0d\u5982\u8bf4\u662f\u4e3a\u4e86\u5728GPU\u4e0a\u5b9e\u73b0\u65b0\u7684\u5de5\u4f5c\u8d1f\u8f7d\u3002Hopper\u662f\u9996\u4e2a\u652f\u6301\u52a8\u6001\u7f16\u7a0b\u7684\u82f1\u4f1f\u8fbe\u67b6\u6784\uff0c\u56e0\u6b64\u53ef\u4ee5\u7528\u52a8\u6001\u7f16\u7a0b\u89e3\u51b3\u7684\u5de5\u4f5c\u8d1f\u8f7d\u901a\u5e38\u662f\u5728CPU\u548cFPGA\u4e0a\u8fd0\u884c\u3002\u4ece\u8fd9\u4e2a\u89d2\u5ea6\u770b\uff0c\u8fd9\u662f\u82f1\u4f1f\u8fbe\u53c8\u627e\u5230\u4e86\u4e00\u4e2a\u53ef\u4ee5\u4eceCPU\u4e0a\u5077\u6765\u7684\u5de5\u4f5c\u8d1f\u8f7d\uff0c\u800c\u5728GPU\u4e0a\u8fd0\u884c\u3002<\/p>\n\n\n\n

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\u81f3\u4e8eDPX\u6307\u4ee4\u7684\u73b0\u5b9e\u610f\u4e49\uff0c\u82f1\u4f1f\u8fbe\u516c\u53f8\u79f0\u8def\u7ebf\u89c4\u5212\u3001\u6570\u636e\u79d1\u5b66\u3001\u673a\u5668\u4eba\u5b66\u548c\u751f\u7269\u5b66\u90fd\u662f\u8fd9\u9879\u65b0\u6280\u672f\u7684\u6f5c\u5728\u53d7\u76ca\u8005\u3002\u8fd9\u4e9b\u9886\u57df\u5df2\u7ecf\u4f7f\u7528\u4e86\u51e0\u79cd\u8457\u540d\u7684\u52a8\u6001\u7f16\u7a0b\u7b97\u6cd5\uff0c\u5982Smith-Waterman\u548cFlyod-Warshall\uff0c\u5b83\u4eec\u5206\u522b\u5bf9\u57fa\u56e0\u5e8f\u5217\u7684\u6392\u5217\u8fdb\u884c\u8bc4\u5206\uff0c\u5e76\u627e\u5230\u4e00\u5bf9\u76ee\u7684\u5730\u4e4b\u95f4\u7684\u6700\u77ed\u8ddd\u79bb\u3002<\/p>\n\n\n\n

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\u52a0\u5bc6\u8ba1\u7b97\uff0c\u4fdd\u62a4GPU\u6570\u636e\u514d\u53d7\u7aa5\u89c6<\/h2>\n\n\n\n

\u4ece\u4ee5\u6027\u80fd\u4e3a\u91cd\u70b9\u7684\u529f\u80fd\u8f6c\u5411\uff0c\u82f1\u4f1f\u8fbe\u5bf9Hopper\u67b6\u6784\u7684\u53e6\u4e00\u4e2a\u91cd\u5927\u63a8\u52a8\u662f\u5728\u5b89\u5168\u65b9\u9762\u3002\u968f\u7740\u4e91\u8ba1\u7b97\u73af\u5883\u4e2dGPU\u4f7f\u7528\u91cf\u7684\u6269\u5927\u2014\u5c24\u5176\u662f\u5171\u4eab\u865a\u62df\u673a\u73af\u5883\u2014\u8be5\u516c\u53f8\u6b63\u5728\u5c06\u65b0\u7684\u91cd\u70b9\u653e\u5728\u6240\u5e26\u6765\u7684\u5b89\u5168\u95ee\u9898\u4e0a\uff0c\u4ee5\u53ca\u5982\u4f55\u4fdd\u62a4\u5171\u4eab\u7cfb\u7edf\u3002<\/p>\n\n\n\n

\u8fd9\u4e9b\u52aa\u529b\u7684\u6700\u7ec8\u7ed3\u679c\u662f\uff0cHopper\u6b63\u5728\u5f15\u5165\u5bf9\u53ef\u4fe1\u6267\u884c\u73af\u5883\u7684\u786c\u4ef6\u652f\u6301\u3002\u5177\u4f53\u800c\u8a00\uff0cHopper\u652f\u6301\u521b\u5efa\u82f1\u4f1f\u8fbe\u6240\u8c13\u7684\u4fdd\u5bc6\u865a\u62df\u673a\uff0c\u5728\u8be5\u865a\u62df\u673a\u73af\u5883\u4e2d\u7684\u6240\u6709\u6570\u636e\u90fd\u662f\u5b89\u5168\u7684\uff0c\u800c\u4e14\u6240\u6709\u8fdb\u5165\uff08\u548c\u79bb\u5f00\uff09\u8be5\u73af\u5883\u7684\u6570\u636e\u90fd\u662f\u52a0\u5bc6\u7684\u3002<\/p>\n\n\n\n

\u82f1\u4f1f\u8fbe\u516c\u53f8\u5728\u6211\u4eec\u7684\u7b80\u62a5\u4e2d\u6ca1\u6709\u8be6\u7ec6\u4ecb\u7ecd\u652f\u6491\u5176\u65b0\u5b89\u5168\u529f\u80fd\u7684\u6280\u672f\u7ec6\u8282\uff0c\u4f46\u636e\u8be5\u516c\u53f8\u79f0\uff0c\u8fd9\u662f\u4e00\u4e2a\u7531\u65b0\u786c\u4ef6\u548c\u8f6f\u4ef6\u529f\u80fd\u6df7\u5408\u800c\u6210\u7684\u4ea7\u54c1\u3002\u7279\u522b\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u6570\u636e\u52a0\u5bc6\/\u89e3\u5bc6\u5728\u8fdb\u51faGPU\u65f6\u7684\u901f\u5ea6\u8db3\u4ee5\u4ee5PCIe\u7ebf\u8def\u901f\u7387\uff0864GB\/\u79d2\uff09\u5b8c\u6210\uff0c\u8fd9\u610f\u5473\u7740\u5728\u4f7f\u7528\u8fd9\u4e00\u5b89\u5168\u529f\u80fd\u65f6\uff0c\u4ece\u4e3b\u673a\u5230GPU\u7684\u5b9e\u9645\u5e26\u5bbd\u4e0d\u4f1a\u51cf\u6162\u3002<\/p>\n\n\n\n

\u8fd9\u79cd\u53ef\u4fe1\u7684\u6267\u884c\u73af\u5883\u53c8\u88ab\u8bbe\u8ba1\u6210\u80fd\u591f\u62b5\u5fa1\u4e00\u5207\u5f62\u5f0f\u7684\u7be1\u6539\u3002GPU\u672c\u8eab\u7684\u5185\u5b58\u5185\u5bb9\u662f\u7531\u82f1\u4f1f\u8fbe\u79f0\u4e4b\u4e3a “\u786c\u4ef6\u9632\u706b\u5899 “\u6765\u4fdd\u62a4\u7684\uff0c\u5b83\u53ef\u4ee5\u9632\u6b62\u5916\u90e8\u8fdb\u7a0b\u63a5\u89e6\u8fd9\u4e9b\u5185\u5bb9\uff0c\u800c\u4e14\u8fd9\u79cd\u4fdd\u62a4\u4e5f\u5ef6\u4f38\u5230SM\u4e2d\u7684\u98de\u884c\u6570\u636e\u3002\u636e\u79f0\uff0c\u53ef\u4fe1\u73af\u5883\u8fd8\u53ef\u4ee5\u9632\u6b62\u64cd\u4f5c\u7cfb\u7edf\u6216\u7ba1\u7406\u7a0b\u5e8f\u4ece\u4e0a\u9762\u8bbf\u95eeGPU\u7684\u5185\u5bb9\uff0c\u53ea\u9650\u5236\u865a\u62df\u673a\u7684\u6240\u6709\u8005\u8bbf\u95ee\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u5373\u4f7f\u6709\u5bf9GPU\u7684\u7269\u7406\u8bbf\u95ee\uff0c\u4e5f\u4e0d\u53ef\u80fd\u8bbf\u95eeHopper\u4e0a\u5b89\u5168\u865a\u62df\u673a\u5185\u7684\u6570\u636e\u3002<\/p>\n\n\n\n

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\u591a\u5b9e\u4f8bGPU v2: \u73b0\u5728\u6709\u4e86\u9694\u79bb\u529f\u80fd<\/h2>\n\n\n\n

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

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

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

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